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Se calcula que el 70&#37; al 80&#37; de los diab&#233;ticos fallecer&#225;n por esta causa<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a>&#46; Su diagn&#243;stico precoz&#44; as&#237; como el de otros factores com&#250;nmente asociados&#44; como la obesidad y la hipertensi&#243;n arterial&#44; constituye un requisito imprescindible para instituir un tratamiento eficaz en la prevenci&#243;n de la mortalidad por causa cardiovascular&#46; Esta tarea habitualmente se realiza en los centros de atenci&#243;n primaria de nuestro pa&#237;s&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">En la Comunidad de Madrid no se ha realizado un estudio poblacional con medidas objetivas de los factores de riesgo cardiovascular desde hace m&#225;s de 17 a&#241;os&#44; excepto el estudio PREDIMERC &#40;PREvalencia de DIabetes MEllitus y Riesgo Cardiovascular&#41;&#44; recientemente publicado<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#46; Por este motivo&#44; en 2006 iniciamos el estudio MADRIC &#40;MADdrid RIesgo Cardiovascular&#41;&#44; con el fin de conocer la prevalencia de dichos factores en una poblaci&#243;n general adulta de Madrid&#46; Parte de sus resultados&#44; los referidos a s&#237;ndrome metab&#243;lico e hipertensi&#243;n&#44; ya han sido publicados<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">8&#44;9</span></a>&#46; El presente art&#237;culo tiene dos objetivos&#58; <span class="elsevierStyleItalic">1&#41;</span> comunicar las cifras de prevalencia de diabetes mellitus y de glucemia basal alterada&#44; y <span class="elsevierStyleItalic">2&#41;</span> describir la asociaci&#243;n de la diabetes mellitus con las caracter&#237;sticas sociodemogr&#225;ficas y otros factores de riesgo cardiovascular&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">M&#233;todos</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Dise&#241;o del estudio</span><p id="par0020" class="elsevierStylePara elsevierViewall">Realizamos un estudio transversal&#44; de base poblacional&#44; en la Comunidad de Madrid&#46; El trabajo de campo se realiz&#243; en 2006&#46; Por entonces&#44; m&#225;s del 95&#37; de los habitantes del censo de la poblaci&#243;n de Madrid dispon&#237;an de tarjeta sanitaria<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a>&#46; En el trabajo participaron 14 centros de salud&#46; El criterio de selecci&#243;n de dichos centros fue que en cada uno de ellos trabajara al menos un facultativo perteneciente a un grupo de trabajo de enfermedad cardiovascular &#40;grupo MAPA-Madrid<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a>&#41;&#46; Los centros participantes se encuentran situados en seis de las 11 &#225;reas sanitarias existentes en Madrid&#46; Dos de ellos son rurales &#40;&#60;10&#46;000 habitantes&#41; y el resto urbanos&#46; A partir del censo de usuarios de dichos centros se realiz&#243; un muestreo aleatorio estratificado por edad y sexo&#44; entre los sujetos con edades entre 31 y 70 a&#241;os &#40;extremos incluidos&#41;&#44; que entonces eran 197&#46;842&#46; Elegimos este grupo de edad porque se trata en su mayor&#237;a de poblaci&#243;n aparentemente sana&#44; en edad laboral&#44; en la cual varios factores de riesgo cardiovascular podr&#237;an estar infradiagnosticados&#46; El tama&#241;o muestral se calcul&#243; teniendo en cuenta que el objetivo original del proyecto era estimar la prevalencia del s&#237;ndrome metab&#243;lico&#44; calculada en un 20&#37; a partir de estudios previos<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a>&#46; Se calcul&#243; que ser&#237;a necesario estudiar 1&#46;292 sujetos&#44; estratificados en cuatro grupos de edad&#44; con el 50&#37; de individuos de cada sexo&#44; para un poder del 80&#37; y un nivel de confianza del 95&#37;&#46; La muestra inicial se increment&#243; un 30&#37; &#40;1&#46;679 sujetos&#41; en previsi&#243;n de posibles p&#233;rdidas&#46; 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Consultadas las historias cl&#237;nicas de las 287 personas que no consintieron&#44; pudo obtenerse informaci&#243;n relativa a factores de riesgo cardiovascular en 240&#46; En &#233;stos&#44; la frecuencia de hipertensi&#243;n y diabetes conocida no difer&#237;a significativamente de la observada en los que aceptaron participar&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">En la entrevista cl&#237;nica&#44; el m&#233;dico recogi&#243; la siguiente informaci&#243;n&#58; sexo&#44; edad&#44; nivel educativo&#44; factores de riesgo cardiovascular&#44; antecedentes de enfermedad cardiovascular y medicaci&#243;n relacionada con patolog&#237;a cardiovascular&#44; peso&#44; talla&#44; per&#237;metro de cintura y media de dos lecturas de presi&#243;n arterial&#46; En una segunda visita al centro de salud&#44; se extrajo una muestra de sangre basal para determinar la glucosa&#44; el colesterol total&#44; el colesterol HDL &#40;<span class="elsevierStyleItalic">high density lipoprotein</span>&#41;&#44; el colesterol LDL &#40;<span class="elsevierStyleItalic">low density lipoprotein</span>&#41; y los triglic&#233;ridos&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">El nivel educativo se clasific&#243; en tres categor&#237;as&#44; de modo similar a estudios previos<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a>&#58; bajo&#44; analfabetismo o estudios primarios&#59; medio&#44; bachiller&#44; formaci&#243;n profesional o estudios equivalentes&#59; y estudios universitarios&#46; Debido a que el n&#250;mero de sujetos con nivel educativo alto fue muy escaso&#44; decidimos fusionar los dos &#250;ltimos niveles en uno solo&#44; que denominamos medio-alto&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Se consider&#243; que el sujeto era sedentario si no realizaba ejercicio f&#237;sico regular &#40;paseo o actividad f&#237;sica equivalente durante un m&#237;nimo de 30 minutos al d&#237;a de promedio en su trabajo o tiempo de ocio&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Se clasific&#243; al paciente como diab&#233;tico si constaba dicho diagn&#243;stico en su historia cl&#237;nica&#44; recib&#237;a medicaci&#243;n antidiab&#233;tica o ten&#237;a una glucemia en ayunas &#8805; 126<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; Si &#233;sta se hallaba entre 100 y 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl sin diagn&#243;stico previo de diabetes&#44; se consideraba glucemia basal alterada<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a>&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">Se consider&#243; que un paciente era obeso si ten&#237;a un &#237;ndice de masa corporal &#40;IMC&#41; &#8805; 30<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#46; La obesidad abdominal se defini&#243; por un per&#237;metro abdominal &#8805; 102<span class="elsevierStyleHsp" style=""></span>cm en los hombres y &#8805; 88<span class="elsevierStyleHsp" style=""></span>cm en las mujeres<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">Se estableci&#243; que un sujeto padec&#237;a hipertensi&#243;n si hab&#237;a constancia en su historia cl&#237;nica&#44; consum&#237;a medicaci&#243;n antihipertensiva o presentaba cifras medias de presi&#243;n arterial &#8805;140&#47;90<span class="elsevierStyleHsp" style=""></span>mmHg en la exploraci&#243;n f&#237;sica<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a>&#46; La dislipidemia se defini&#243; por la presencia de colesterol total &#8805; 200<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#44; triglic&#233;ridos &#8805; 150<span class="elsevierStyleHsp" style=""></span>mg&#47;dl o tratamiento actual con f&#225;rmacos hipolipidemiantes<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a>&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">Se consider&#243; fumador a quien hubiera consumido al menos un cigarrillo en el &#250;ltimo mes<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a>&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">La enfermedad cardiovascular se defini&#243; por el antecedente documentado de &#225;ngor&#44; infarto de miocardio&#44; insuficiencia cardiaca&#44; arteriopat&#237;a perif&#233;rica&#44; ictus o aneurisma a&#243;rtico&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">An&#225;lisis estad&#237;stico</span><p id="par0075" class="elsevierStylePara elsevierViewall">El an&#225;lisis estad&#237;stico se realiz&#243; con el paquete SPSS<span class="elsevierStyleSup">&#174;</span>&#47;PC versi&#243;n 15 &#40;Chicago&#44; USA&#41;&#46; Los resultados de las variables cualitativas se expresaron en porcentajes&#46; Los estimadores se acompa&#241;aron de sus respectivos intervalos de confianza del 95&#37; &#40;IC95&#37;&#41;&#46; Para la comparaci&#243;n de medias entre variables con distribuci&#243;n normal se utiliz&#243; la prueba de la <span class="elsevierStyleItalic">t</span> de Student para datos independientes&#46; Cuando se compararon datos cuantitativos que no segu&#237;an una distribuci&#243;n normal se emple&#243; la prueba de Mann-Withney&#44; y para la posible asociaci&#243;n entre variables cualitativas la prueba de ji al cuadrado&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">Debido al tipo de muestreo&#44; el an&#225;lisis de los resultados de prevalencia se ponder&#243; teniendo en cuenta la estructura real por edad y sexo de la poblaci&#243;n madrile&#241;a de procedencia &#40;porcentajes&#41;&#44; de modo similar a otros estudios<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Con el fin de determinar la asociaci&#243;n independiente entre el diagn&#243;stico de diabetes mellitus y varios factores de riesgo cardiovascular se dise&#241;&#243; un modelo de regresi&#243;n log&#237;stica&#46; La variable dependiente fue &#171;diagn&#243;stico de diabetes mellitus&#187;&#46; La selecci&#243;n de variables independientes se realiz&#243; por motivos cl&#237;nicos&#44; evaluando adem&#225;s aquellas que pudieran actuar como factores de confusi&#243;n o interacci&#243;n&#46; Las dos variables de obesidad analizadas &#40;IMC y per&#237;metro abdominal&#41; compart&#237;an gran parte de informaci&#243;n&#44; por lo que s&#243;lo se incluy&#243; en el modelo la obesidad abdominal&#44; dada su mayor relaci&#243;n fisiol&#243;gica con la diabetes mellitus&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">Encontramos una interacci&#243;n de las variables &#171;hipertensi&#243;n&#187; y &#171;nivel educativo&#187;&#44; ya que los sujetos normotensos con un nivel educativo bajo presentaban una mayor asociaci&#243;n con la diabetes mellitus que aquellos con nivel medio-alto&#44; mientras que en los hipertensos el nivel educativo no afectaba a la relaci&#243;n con la diabetes mellitus&#46; Por este motivo se cre&#243; una nueva variable&#44; denominada &#171;hipertensi&#243;n-nivel educativo&#187;&#44; que pod&#237;a tener tres valores &#40;y no 4&#41;&#58; 1&#44; hipertensi&#243;n&#59; 2&#44; normotensi&#243;n con nivel educativo bajo&#59; y 3&#44; normotensi&#243;n con nivel educativo medio-alto&#46; Se calcularon las <span class="elsevierStyleItalic">odds ratio</span> &#40;OR&#41; y sus intervalos de confianza del 95&#37; &#40;IC95&#37;&#41; para todas las variables&#46;</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Resultados</span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Descripci&#243;n de la muestra</span><p id="par0095" class="elsevierStylePara elsevierViewall">Las caracter&#237;sticas de los sujetos participantes se presentan en la <a class="elsevierStyleCrossRef" href="#tbl0005">tabla 1</a>&#46; De la muestra inicial de 1402 personas&#44; 58 tuvieron que ser excluidas a posteriori por falta de datos cl&#237;nicos &#40;10 sujetos&#41; o negativa a realizarse la extracci&#243;n de sangre &#40;48 sujetos&#41;&#46; Se analizaron las caracter&#237;sticas sociodemogr&#225;ficas&#44; as&#237; como los datos obtenidos en la primera visita del estudio y la historia cl&#237;nica&#44; de los sujetos excluidos&#46; Podemos afirmar que estos individuos presentaban unas caracter&#237;sticas sociodemogr&#225;ficas y una frecuencia de los principales factores de riesgo cardiovascular &#40;diagn&#243;stico previo de hipertensi&#243;n&#44; diabetes mellitus u obesidad abdominal&#41; sin diferencias estad&#237;sticamente significativas con las de los sujetos incluidos&#46; La muestra final qued&#243; constituida por 1344 individuos &#40;44&#37; hombres&#44; 56&#37; mujeres&#41;&#44; con una edad media de 53 a&#241;os &#40;IC95&#37;&#58; 52&#44;5-53&#44;7&#41;&#46; La presentaci&#243;n de los datos por sexo en la <a class="elsevierStyleCrossRef" href="#tbl0005">tabla 1</a> permite apreciar la mayor presencia de factores de riesgo cardiovascular en los hombres&#44; con la excepci&#243;n del colesterol HDL y el sedentarismo&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Prevalencia de diabetes mellitus&#44; glucemia basal alterada y obesidad abdominal</span><p id="par0100" class="elsevierStylePara elsevierViewall">En la <a class="elsevierStyleCrossRef" href="#tbl0010">tabla 2</a> se muestran las frecuencias de diabetes&#44; glucemia basal alterada y otros factores de riesgo cardiovascular&#44; por estratos de edad y sexo&#46; Se observa c&#243;mo la frecuencia de diabetes y de glucemia basal alterada aumenta progresivamente con la edad y es mayor en los hombres que en las mujeres en la mayor&#237;a de los estratos de edad&#59; no obstante&#44; dicha superioridad tiende a reducirse a partir de la sexta d&#233;cada&#46; A diferencia de lo observado para la diabetes mellitus&#44; la obesidad abdominal y la hipercolesterolemia fueron m&#225;s frecuentes en las mujeres&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">En la <a class="elsevierStyleCrossRef" href="#tbl0010">tabla 2</a> tambi&#233;n se presentan las cifras de prevalencia de varios factores de riesgo cardiovascular&#44; ajustadas por edad y sexo&#46; La prevalencia de diabetes mellitus fue del 6&#44;6&#37; &#40;IC95&#37;&#58; 5&#44;9-8&#44;7&#41;&#44; y mayor en los hombres &#40;7&#44;3&#37;&#59; IC95&#37;&#58; 4&#44;0-7&#44;8&#41; que en las mujeres &#40;5&#44;9&#37;&#59; IC95&#37;&#58; 4&#44;8-8&#44;4&#41;&#46; En cuanto a la glucemia basal alterada&#44; su prevalencia fue del 14&#44;1&#37; &#40;IC95&#37;&#58;12&#44;1-15&#44;8&#41;&#44; es decir&#44; el doble de frecuente que la diabetes&#44; y al igual que &#233;sta&#44; claramente superior en los hombres&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Relaci&#243;n entre diabetes y otras variables</span><p id="par0110" class="elsevierStylePara elsevierViewall">Se compararon las caracter&#237;sticas sociodemogr&#225;ficas y cl&#237;nicas entre los participantes diab&#233;ticos y no diab&#233;ticos &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">tabla 3</a>&#41;&#46; En el estudio univariado&#44; la presencia de diabetes mellitus se asoci&#243; al sexo masculino y a cifras m&#225;s altas de edad&#44; presi&#243;n arterial&#44; IMC y per&#237;metro de cintura&#46; Tambi&#233;n se asoci&#243; a un menor nivel educativo&#44; dislipidemia &#40;espec&#237;ficamente colesterol HDL bajo y triglic&#233;ridos elevados&#41; y enfermedad cardiovascular&#46; En los diab&#233;ticos&#44; el per&#237;metro abdominal fue claramente superior al de los no diab&#233;ticos&#44; con una asociaci&#243;n estad&#237;sticamente significativa&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">Los factores asociados de modo independiente con diabetes mellitus&#44; evaluados mediante regresi&#243;n log&#237;stica&#44; fueron la edad&#44; el sexo&#44; la obesidad abdominal y la hipertensi&#243;n &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">tabla 4</a>&#41;&#46; El factor m&#225;s estrechamente relacionado con la diabetes mellitus fue la edad &#40;&#62; 50 a&#241;os frente a &#8804; 50 a&#241;os&#41;&#44; con una OR de 5&#44;4 &#40;IC95&#37;&#58; 2&#44;8-10&#44;3&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conocimiento y control de la diabetes mellitus</span><p id="par0120" class="elsevierStylePara elsevierViewall">De los 139 diab&#233;ticos identificados&#44; 24 &#40;17&#44;2&#37;&#59; IC95&#37;&#58; 10&#44;9-23&#44;5&#41; no hab&#237;an sido diagnosticados previamente de esta enfermedad&#46; Todos eran hipertensos&#46; Entre los 115 diab&#233;ticos conocidos&#44; 75 &#40;65&#44;2&#37;&#59; IC95&#37;&#58; 56&#44;5-76&#44;9&#41; recib&#237;an tratamiento farmacol&#243;gico para su diabetes mellitus&#58; 64 consum&#237;an antidiab&#233;ticos orales &#40;85&#44;3&#37;&#59; IC95&#37;&#58;77&#44;3-93&#44;3&#41;&#44; 19 insulina &#40;25&#44;3&#37;&#59; IC95&#37;&#58; 15&#44;5-35&#44;2&#41; y 7 ambos tratamientos &#40;9&#44;3&#37;&#59; IC95&#37;&#58; 2&#44;7-15&#44;9&#41;&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">La hemoglobina glucosilada &#40;HbA1c&#41; s&#243;lo se determin&#243; en 95 de los 115 diab&#233;ticos conocidos&#44; por tratarse de una variable no contemplada en el protocolo de estudio inicial&#46; De &#233;stos&#44; solo 53 &#40;55&#44;8&#37;&#59; IC95&#37;&#58; 45&#44;8-65&#44;8&#41; ten&#237;an unos valores de HbA1c &#60;7&#37;&#44; es decir&#44; presentaban un buen control metab&#243;lico&#46; Se investig&#243; qu&#233; factores se asociaban significativamente con el buen control metab&#243;lico&#46; Como puede verse en la <a class="elsevierStyleCrossRef" href="#tbl0025">tabla 5</a>&#44; de todas las variables evaluadas s&#243;lo se hall&#243; una asociaci&#243;n significativa con el tipo de tratamiento antidiab&#233;tico&#46; En concreto&#44; los pacientes tratados &#250;nicamente con dieta presentaron un mejor control gluc&#233;mico que los tratados con f&#225;rmacos antidiab&#233;ticos &#40;el 62&#44;3&#37; &#91;IC95&#37;&#58; 49&#44;3-75&#44;3&#93; frente al 21&#44;4&#37; &#91;IC95&#37;&#58; 9&#44;0-33&#44;8&#93;&#41;&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Discusi&#243;n</span><p id="par0130" class="elsevierStylePara elsevierViewall">El manejo adecuado e integral de la diabetes mellitus precisa&#44; como punto de partida&#44; el conocimiento de la realidad que representa en nuestro medio&#46; En este estudio&#44; realizado en una poblaci&#243;n adulta de la Comunidad de Madrid&#44; la prevalencia de diabetes mellitus&#44; ajustada por edad y sexo&#44; fue del 6&#44;6&#37;&#44; y un 14&#44;1&#37; adicional present&#243; glucemia basal alterada&#59; cifras realmente preocupantes&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">La prevalencia de la diabetes mellitus es muy variable seg&#250;n los distintos estudios publicados&#46; Nuestros datos muestran una prevalencia similar a la observada en otras regiones de Espa&#241;a&#46; Seg&#250;n la Encuesta Nacional de Salud de los a&#241;os 2001 y 2003&#44; la prevalencia ajustada de diabetes mellitus en la comunidad de Madrid era del 5&#44;7&#37;&#44; aunque al tratarse de datos autorreferidos probablemente infraestimen la prevalencia real<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a>&#46; El estudio PREDIMERC&#44; encuesta poblacional realizada en la Comunidad de Madrid en 2007&#44; incluy&#243; 2268 personas de 30 a 74 a&#241;os de edad<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#46; En dicho estudio se hall&#243; una prevalencia global de diabetes mellitus del 8&#44;1&#37;&#44; algo superior a la encontrada por nosotros&#46; Sin embargo&#44; las cifras de prevalencia de la glucemia basal alterada son muy dispares&#58; 5&#44;9&#37; en el estudio PREDIMERC y 14&#44;1&#37; en el presente estudio&#44; lo cual es explicable porque en el primero se utiliz&#243; como punto de corte definitorio de hiperglucemia 110<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#44; en lugar de los 100<span class="elsevierStyleHsp" style=""></span>mg&#47;dl en el nuestro&#44; m&#225;s acorde con los recientes consensos y actualmente en uso<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a>&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Por otra parte&#44; al comparar las prevalencias de diabetes mellitus observadas en Madrid con las de otras regiones espa&#241;olas&#44; se observan algunas diferencias importantes&#46; La mayor prevalencia se hall&#243; en Canarias&#46; En efecto&#44; en el estudio Gu&#237;a<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a>&#44; realizado en esta regi&#243;n&#44; la prevalencia de diabetes mellitus fue del 15&#44;9&#37; seg&#250;n los criterios de la American Diabetes Association &#40;ADA&#41; de 1997<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> &#40;18&#44;7&#37; seg&#250;n los de la Organizaci&#243;n Mundial de la Salud &#91;OMS&#93;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> de 1985&#41;&#44; lo que representa la cifra m&#225;s alta de toda Europa&#46; Posteriormente&#44; otro estudio en la misma regi&#243;n&#44; publicado en 2005&#44; estim&#243; una prevalencia total de diabetes mellitus del 13&#44;2&#37;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a>&#46; Estas cifras sugieren la presencia de alg&#250;n factor de car&#225;cter local &#40;gen&#233;tico o relacionado con los estilos de vida&#41; que influye en el desarrollo de diabetes&#46; Los datos disponibles en Espa&#241;a de poblaciones comparables a la nuestra registran una prevalencia de diabetes mellitus que var&#237;a entre el 5&#44;6&#37; y el 14&#44;8&#37;<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7&#44;20&#44;23&#8211;32</span></a>&#46; Una limitaci&#243;n para la comparaci&#243;n de datos es el criterio diagn&#243;stico utilizado&#44; que en algunos de ellos fue el de la OMS de 1985<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a>&#46; En nuestro trabajo observamos una asociaci&#243;n independiente entre la diabetes mellitus y varios factores&#44; como el sexo masculino&#44; la edad&#44; la presencia de obesidad abdominal y la hipertensi&#243;n&#44; observaci&#243;n coherente con estudios poblacionales previos<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a>&#46; Probablemente&#44; el n&#250;mero de diab&#233;ticos estudiados haya sido insuficiente para poder evaluar de manera adecuada otras variables&#44; como el grado de control metab&#243;lico y los factores que influyen en &#233;l&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">En el presente estudio destaca el alto porcentaje de sujetos con glucemia basal alterada&#44; lo que conlleva un alto riesgo de desarrollar diabetes en un futuro&#46; El porcentaje observado fue casi id&#233;ntico al 14&#44;2&#37; de sujetos no diab&#233;ticos que presentaron trastornos del metabolismo gluc&#237;dico en el estudio realizado en Telde &#40;Canarias&#41;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a>&#44; aunque en este &#250;ltimo se incluyeron tambi&#233;n sujetos con intolerancia a la glucosa&#46; Una reciente revisi&#243;n que analiza la prevalencia de prediabetes en Espa&#241;a&#44; utilizando varios estudios epidemiol&#243;gicos transversales&#44; muestra una prevalencia de glucemia basal alterada entre el 6&#37; y el 12&#37;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a>&#44; comparable a las de otras poblaciones europeas o de Estados Unidos&#46; Sin embargo&#44; al aplicar los criterios revisados de la ADA<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a>&#44; los mismos utilizados en nuestro estudio&#44; la prevalencia de glucemia basal alterada se triplica&#44; hasta alcanzar un 20&#37; a 30&#37;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a>&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">Es interesante destacar el hecho de que un 17&#44;2&#37; de los diab&#233;ticos identificados no conoc&#237;a el diagn&#243;stico&#44; lo cual representa un porcentaje inferior al publicado en otros estudios<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">24&#8211;27</span></a>&#44; entre ellos el PREDIMERC<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#46; Ello podr&#237;a sugerir una mejora en la detecci&#243;n precoz de esta enfermedad&#44; pero no podemos excluir cierto sesgo por el hecho de que los sujetos participantes estaban adscritos a centros especialmente interesados en el &#225;rea cardiovascular&#46; De modo similar&#44; en una publicaci&#243;n previa basada en la misma poblaci&#243;n&#44; comunicamos un porcentaje de casos de hipertensi&#243;n arterial no conocida tambi&#233;n inferior al referido por otros autores<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">La diabetes mellitus suele presentarse asociada a otros factores de riesgo cardiovascular&#44; como hipertensi&#243;n&#44; obesidad abdominal y dislipidemia&#44; que definen el llamado &#171;s&#237;ndrome metab&#243;lico&#187;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#46; En nuestra poblaci&#243;n&#44; el 68&#37; de los diab&#233;ticos presentaron dicho s&#237;ndrome&#44; el triple que los no diab&#233;ticos&#44; lo que representa un riesgo adicional de enfermedad cardiovascular y obliga a un abordaje integral diagn&#243;stico y terap&#233;utico&#46; La medida del per&#237;metro abdominal &#40;en nuestro estudio el 34&#44;6&#37; de los hombres y el 50&#44;0&#37; de las mujeres ten&#237;an obesidad abdominal&#41; constituye un buen indicador del riesgo de desarrollar resistencia a la insulina&#44; trastorno previo a la aparici&#243;n de diabetes&#46; A este respecto&#44; un estudio publicado por investigadores suecos sobre una poblaci&#243;n de 2746 individuos&#44; hombres y mujeres de 18 a 72 a&#241;os de edad&#44; demostr&#243; que una circunferencia &#60; 100<span class="elsevierStyleHsp" style=""></span>cm excluye a los individuos de presentar riesgo de resistencia a la insulina<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a>&#46; Por lo tanto&#44; el per&#237;metro de la cintura ser&#237;a un buen indicador del riesgo de diabetes&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">El dise&#241;o del presente estudio tiene varias limitaciones&#58;<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">1&#41;</span><p id="par0165" class="elsevierStylePara elsevierViewall">Si bien el muestreo se realiz&#243; de modo aleatorio entre los usuarios asignados a diversos centros de salud dispersos en la Comunidad de Madrid&#44; &#233;stos no representan a toda la regi&#243;n&#44; ya que fueron seleccionados en virtud de su pertenencia a un grupo de trabajo con inter&#233;s en el &#225;rea cardiovascular&#46; Esta circunstancia tambi&#233;n podr&#237;a justificar un mayor grado de detecci&#243;n y control de factores de riesgo cardiovascular&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">2&#41;</span><p id="par0170" class="elsevierStylePara elsevierViewall">La definici&#243;n de &#171;sedentarismo&#187; no se realiz&#243; siguiendo un cuestionario de actividad f&#237;sica validado&#44; lo que limita su comparaci&#243;n con otros estudios&#46;</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">3&#41;</span><p id="par0175" class="elsevierStylePara elsevierViewall">La determinaci&#243;n de la glucemia y de la presi&#243;n arterial se realiz&#243; en una sola visita al centro de salud&#44; lo cual posiblemente sobrestime la prevalencia real de diabetes e hipertensi&#243;n&#44; respectivamente&#46; No obstante&#44; esta limitaci&#243;n es com&#250;n a la mayor&#237;a de los estudios poblacionales y facilita la comparaci&#243;n de nuestros datos con los de otros trabajos publicados anteriormente&#46;</p></li></ul></p><p id="par0180" class="elsevierStylePara elsevierViewall">En resumen&#44; el estudio revela una prevalencia de diabetes mellitus en la Comunidad de Madrid por encima de las previsiones de la International Diabetes Federation para Espa&#241;a&#44; aunque similar a la de otras regiones espa&#241;olas&#44; as&#237; como un deficiente grado de conocimiento y control de la enfermedad&#46; Un diagn&#243;stico tard&#237;o de diabetes mellitus conlleva un mayor riesgo de complicaciones&#44; lo que aumenta la necesidad de plantear estrategias de diagn&#243;stico precoz en los individuos con alto riesgo de padecerla<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a>&#44; as&#237; como promover estilos de vida saludables&#44; para detener&#44; o al menos reducir&#44; la tendencia epid&#233;mica de la diabetes mellitus&#46;<elsevierMultimedia ident="tb0005"></elsevierMultimedia></p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Contribuciones de autor&#237;a</span><p id="par0195" class="elsevierStylePara elsevierViewall">Los autores de este trabajo declaran haber participado de modo sustancial en su concepci&#243;n y dise&#241;o&#44; as&#237; como en la interpretaci&#243;n de los datos&#44; y dan su aprobaci&#243;n a la versi&#243;n final del manuscrito&#46; Espec&#237;ficamente&#44; J&#46; Rosado y M&#46;A&#46; Mart&#237;nez L&#243;pez dise&#241;aron el estudio&#44; analizaron los datos y redactaron el manuscrito&#59; T&#46; Mantilla&#44; I&#46; Dujovne F&#46;J&#46; Palau coordinaron la recogida de los datos en los centros de salud y analizaron los datos&#59; R&#46; Torres supervis&#243; las determinaciones de bioqu&#237;mica y realiz&#243; el an&#225;lisis de las variables de laboratorio&#59; y J&#46; Garc&#237;a&#44; como director del Grupo de Trabajo MAPA&#44; fue responsable de la supervisi&#243;n del dise&#241;o del estudio y del an&#225;lisis de datos&#44; as&#237; como de la coordinaci&#243;n entre los centros de salud&#44; el laboratorio central y el Hospital La Paz&#46; Adem&#225;s&#44; los investigadores cuyos nombres aparecen en el Ap&#233;ndice han colaborado en la recogida de datos y la evaluaci&#243;n de los sujetos de estudio en sus respectivos centros de salud&#44; y han aprobado la versi&#243;n final del manuscrito&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Financiaci&#243;n</span><p id="par0200" class="elsevierStylePara elsevierViewall">El presente estudio fue financiado con una ayuda del Fondo de Investigaciones Sanitarias &#40;Proyecto PI050029&#41;&#44; la Red Cardiovascular &#40;RECAVA&#41; y el Laboratorio AstraZ&#233;neca&#46; Este &#250;ltimo limit&#243; su participaci&#243;n a la financiaci&#243;n de los cuadernos de recogida de datos y de los tensi&#243;metros&#46; No ha intervenido en el dise&#241;o&#44; la obtenci&#243;n ni la interpretaci&#243;n de los datos del estudio<span class="elsevierStyleItalic">&#46;</span></p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conflictos de intereses</span><p id="par0205" class="elsevierStylePara elsevierViewall">Ninguno&#46;</p></span></span>"
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              "titulo" => "Descripci&#243;n de la muestra"
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              "titulo" => "Prevalencia de diabetes mellitus&#44; glucemia basal alterada y obesidad abdominal"
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              "titulo" => "Relaci&#243;n entre diabetes y otras variables"
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              "titulo" => "Conocimiento y control de la diabetes mellitus"
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    "fechaRecibido" => "2011-04-26"
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        "resumen" => "<span class="elsevierStyleSectionTitle">Objetivo</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Estimar la prevalencia de diabetes mellitus y de glucemia basal alterada en una poblaci&#243;n adulta de Madrid&#46;</p> <span class="elsevierStyleSectionTitle">M&#233;todos</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Estudio transversal de base poblacional&#46; Incluy&#243; 1344 adultos &#40;31-70 a&#241;os de edad&#41;&#44; seleccionados aleatoriamente del censo de usuarios de 14 centros de salud de la Comunidad de Madrid&#46; Se realizaron las siguientes determinaciones&#58; cuestionario cl&#237;nico&#44; exploraci&#243;n f&#237;sica y an&#225;lisis de sangre basal &#40;glucemia&#44; triglic&#233;ridos y colesterol&#41;&#46; Se consideraron diab&#233;ticos aquellos previamente diagnosticados por su m&#233;dico&#44; as&#237; como los que presentaron una glucemia basal &#8805; 126<span class="elsevierStyleHsp" style=""></span>mg&#47;dl en ausencia de un diagn&#243;stico previo de diabetes&#46; Con una glucemia entre 100 y 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl en ausencia de diabetes se clasificaron como glucemia basal alterada&#46;</p> <span class="elsevierStyleSectionTitle">Resultados</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Las prevalencias de diabetes y de glucemia basal alterada&#44; ajustadas por edad y sexo&#44; fueron del 6&#44;6&#37; &#40;intervalo de confianza del 95&#37; &#91;IC95&#37;&#93;&#58; 5&#44;9-8&#44;7&#41; y del 14&#44;1&#37; &#40;IC95&#37;&#58; 12&#44;1-15&#44;8&#41;&#44; respectivamente&#46; Un 17&#44;2&#37; &#91;IC95&#37;&#58; 10&#44;9-23&#44;5&#93; de los diab&#233;ticos detectados no hab&#237;an sido diagnosticado previamente de esta enfermedad&#46; Los factores asociados de modo independiente con la diabetes fueron la edad&#44; el sexo masculino&#44; la presencia de obesidad abdominal y la hipertensi&#243;n arterial&#46;</p> <span class="elsevierStyleSectionTitle">Conclusiones</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">En nuestra poblaci&#243;n de Madrid&#44; la prevalencia de diabetes es similar a la de otras regiones espa&#241;olas&#46; Es destacable el alto porcentaje de sujetos con una glucemia basal alterada&#44; lo cual&#44; asociado a la obesidad&#44; conlleva un alto riesgo de desarrollar diabetes en el futuro&#46;</p>"
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        "titulo" => "Abstract"
        "resumen" => "<span class="elsevierStyleSectionTitle">Objective</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">To estimate the prevalence of diabetes mellitus and impaired fasting glycemia in an adult population living in Madrid &#40;Spain&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Methods</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">In this cross-sectional&#44; population-based survey&#44; we studied 1&#44;344 adults aged 31-70 years&#44; randomly selected from the population living in 14 primary care districts of the Madrid region&#46; All participants underwent a clinical evaluation that included a clinical interview&#44; physical examination and fasting blood analysis &#40;glycemia&#44; cholesterol and triglyceride levels&#41;&#46; The participants were considered to be diabetic if they had been previously diagnosed with diabetes by their general physician or had a fasting glycemia &#8805; 126<span class="elsevierStyleHsp" style=""></span>mg&#47;dl without a previous diabetes diagnosis&#46; Impaired fasting glycemia was defined as fasting glycemia between 100<span class="elsevierStyleHsp" style=""></span>mg&#47;dl and 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl in non-diabetic participants&#46;</p> <span class="elsevierStyleSectionTitle">Results</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">The sex- and age-adjusted prevalence figures for diabetes and impaired fasting glucose were 6&#46;6&#37; &#40;95&#37; CI&#58; 5&#46;9-8&#46;7&#41; and 14&#46;1&#37; &#40;95&#37; CI&#58; 12&#46;1-15&#46;8&#41;&#44; respectively&#46; A substantial proportion of diabetic patients &#91;17&#46;2&#37; &#40;95&#37; CI&#58; 10&#46;9-23&#46;5&#41;&#93; had not been previously diagnosed&#46; The variables independently associated with diabetes were age&#44; male gender&#44; abdominal obesity and hypertension&#46;</p> <span class="elsevierStyleSectionTitle">Conclusions</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Our prevalence figure for diabetes is similar to those reported in other Spanish regions&#46; The high frequency of impaired fasting glucose is worrisome&#44; particularly when combined with obesity&#44; as this association confers a high risk for developing diabetes mellitus&#46;</p>"
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            "apendice" => "<p id="par0215" class="elsevierStylePara elsevierViewall">En el presente estudio han colaborado los siguientes investigadores del Grupo de trabajo MAPA &#40;Monitorizaci&#243;n Ambulatoria de la Presi&#243;n Arterial&#41; de Madrid<span class="elsevierStyleItalic">&#46; Hospital Universitario La Paz&#44; Servicio de Medicina Interna&#44; Unidad de Riesgo Vascular&#58;</span> J&#46;G&#46; Puig&#44; M&#46; Mora&#59; <span class="elsevierStyleItalic">Servicio de Nefrolog&#237;a&#58;</span> A&#46; Torre&#59; <span class="elsevierStyleItalic">Servicio de Bioqu&#237;mica&#58;</span> R&#46; Torres&#59; <span class="elsevierStyleItalic">Laboratorio de Urgencias&#58;</span> P&#46; Fern&#225;ndez&#46; <span class="elsevierStyleItalic">Hospital Infanta Sof&#237;a&#44; Servicio de Medicina Interna&#58;</span> M&#46;A&#46; Mart&#237;nez&#46; <span class="elsevierStyleItalic">Centro de Salud Fuencarral&#58;</span> JL Mart&#237;nez&#59; <span class="elsevierStyleItalic">Centro de Salud Bustarviejo&#58;</span> I&#46; Laguna&#44; I&#46; S&#225;enz del Castillo&#44; Y&#46; Hidalgo&#44; C&#46; Villar&#59; <span class="elsevierStyleItalic">Centro de Salud B&#176; del Pilar&#58;</span> A&#46; Rabanal&#59; <span class="elsevierStyleItalic">Centro de Salud Castroviejo&#58;</span> V&#46; Castell&#44; G&#46; Ant&#243;n&#44; R&#46; Juli&#225;n&#44; J&#46;M&#46; Doral&#44; E&#46; Dur&#225;n&#44; M&#46;J&#46; Alv&#225;rez&#59; <span class="elsevierStyleItalic">Centro de Salud El Molar&#58;</span> P&#46; O&#8217;Dogherty&#44; R&#46; Arag&#243;n&#44; C&#46; Refolio&#44; A&#46; Hijano&#59; <span class="elsevierStyleItalic">Centro de Salud Dr&#46; Tamames&#58;</span> P&#46; Loeches&#44; J&#46;L&#46; Ant&#243;n&#44; M&#46;S&#46; Blesa&#44; J&#46; Sanz&#44; M&#46;E&#46; Gerez&#44; T&#46; S&#225;nchez-Villares&#44; L&#46;F&#46; Gimbel&#44; M&#46;J&#46; Gomara&#44; M&#46;L&#46; Revuelta&#46; <span class="elsevierStyleItalic">Centro de Salud Mar B&#225;ltico&#58;</span> J&#46; Rosado&#44; T&#46; Mantilla&#44; I&#46; Dujovne&#44; J&#46;M&#46; Molero&#44; J&#46;M&#46; de Dios&#59; <span class="elsevierStyleItalic">Centro de Salud Jazm&#237;n&#58;</span> J&#46; Suero&#44; G&#46; Artiach&#44; C&#46; Aguila&#44; Y&#46; Canellas&#44; M&#46;A&#46; Nieto&#44; I&#46; Pe&#241;a&#44; C&#46; Moriy&#243;n&#59; <span class="elsevierStyleItalic">Centro de Salud Espronceda&#58;</span> A&#46; Nevado&#59; <span class="elsevierStyleItalic">Ambulatorio Andr&#233;s Mellado&#58;</span> M&#46;A&#46; Cuadrado&#59; <span class="elsevierStyleItalic">Centro de Salud Chopera&#58;</span> J&#46;J&#46; Gonz&#225;lez&#44; M&#46; Ferrer&#44; I&#46; Contreras&#44; M&#46;L&#46; Pascual&#44; P&#46; Seguido&#46; <span class="elsevierStyleItalic">Centro de Salud Potes&#58;</span> F&#46;J&#46; Castellanos&#59; <span class="elsevierStyleItalic">Centro de Salud El Escorial&#58;</span> F&#46;J&#46; Palau&#44; M&#46; de la Cueva&#46; <span class="elsevierStyleItalic">Centro de Salud Tres Cantos&#58;</span> J&#46;C&#46; Obaya&#44; A&#46; Castellanos&#44; B&#46; Morales&#44; V&#46;L&#46; Alonso&#44; S&#46; Garc&#237;a-Morato&#44; E&#46;M&#46; Santos&#44; J&#46; Ruiz&#44; V&#46; O&#241;ate&#46; <span class="elsevierStyleItalic">Centro de Salud Paracuellos del Jarama&#58;</span> J&#46;M&#46; Rubio&#46; <span class="elsevierStyleItalic">Ambulatorio Jos&#233; Marva &#40;Laboratorio&#41;&#58;</span> C&#46; Eisman&#44; J&#46; Marcos&#46;</p>"
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          "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">IC95&#37;&#58; intervalo de confianza del 95&#37;&#59; IMC&#58; &#237;ndice de masa corporal&#59; ATPIII&#58; Adult Treatment Panel&#59; PAS&#58; presi&#243;n arterial sist&#243;lica&#59; PAD&#58; presi&#243;n arterial diast&#243;lica&#59; HDL&#58; <span class="elsevierStyleItalic">high density lipoprotein</span>&#59; LDL&#58; <span class="elsevierStyleItalic">low density lipoprotein</span>&#46;</p><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Las variables continuas se expresan como medias&#44; con su IC95&#37;&#44; salvo los triglic&#233;ridos&#44; que se expresan como mediana&#44; con su respectivo IC95&#37;&#46; Las variables cualitativas se expresan como porcentajes con su IC95&#37;&#46;</p>"
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                  \t\t\t\t">Obesidad abdominal &#40;criterios ATPIII<span class="elsevierStyleSup">15</span>&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#44;014&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">51-60&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">55&#44;7 &#40;48&#44;4-63&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">38&#44;1 &#40;31&#44;5-44&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">61-70&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">65&#44;6 &#40;58&#44;6-72&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">58&#44;6 &#40;51&#44;9-65&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#44;138&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipercolesterolemia&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">31-40&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">40&#44;4 &#40;30&#44;2-50&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">30&#44;7 &#40;23&#44;1-38&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#44;086&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">41-50&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">58&#44;2 &#40;49&#44;9-66&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">55&#44;8 &#40;48&#44;0-63&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#44;388&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">51-60&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">59&#44;5 &#40;52&#44;2-66&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">74&#44;8 &#40;68&#44;9-80&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">61-70&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">56&#44;0 &#40;49&#44;0-63&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">74&#44;3 &#40;68&#44;8-79&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Hipertrigliceridemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">0&#44;356&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#44;021&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">31-40&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">26&#44;1 &#40;17&#44;0-35&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8&#44;0 &#40;3&#44;5-12&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">41-50&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">28&#44;0 &#40;20&#44;4-35&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">12&#44;7 &#40;7&#44;5-17&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t">51-60&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&#44;8 &#40;24&#44;9-38&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#44;5 &#40;13&#44;3-23&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61-70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#44;4 &#40;17&#44;4-29&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#44;3 &#40;13&#44;4-23&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;122&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab10688.png"
              ]
            ]
            1 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Variable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="3" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Cifras de prevalencia ajustadas por sexo y edad</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Prevalencia global &#40;ajustada por edad y sexo&#41; &#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Prevalencia en varones &#40;ajustada por edad&#41; &#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Prevalencia en mujeres &#40;ajustada por edad&#41; &#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 1344&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 592&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 752&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diabetes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#44;6 &#40;5&#44;9-8&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#44;3 &#40;4&#44;0-7&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#44;9 &#40;4&#44;8-8&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Glucemia basal alterada&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#44;1 &#40;12&#44;1-15&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#44;6 &#40;15&#44;5-21&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10&#44;1 &#40;7&#44;9-12&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad abdominal &#40;criterios ATPIII<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&#44;8 &#40;34&#44;2-39&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&#44;7 &#40;38&#44;7-46&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#44;4 &#40;27&#44;1-36&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad &#40;IMC &#8805;30 kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#44;6 &#40;21&#44;3-25&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#44;3 &#40;21&#44;8-28&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#44;0 &#40;19&#44;0-25&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertensi&#243;n arterial&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34&#44;8 &#40;32&#44;4-37&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41&#44;3 &#40;37&#44;3-45&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#44;7 &#40;25&#44;5-31&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipercolesterolemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;3 &#40;50&#44;6-56&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#44;6 &#40;47&#44;6-55&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#44;9 &#40;51&#44;3-58&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertrigliceridemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#44;0 &#40;18&#44;8-23&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#44;3 &#40;26&#44;6-24&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#44;3 &#40;10&#44;0-14&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab10686.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "es" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Prevalencia de diabetes&#44; de glucemia basal alterada&#44; de hipertensi&#243;n arterial&#44; de hipercolesterolemia y de hipertrigliceridemia</p>"
        ]
      ]
      2 => array:7 [
        "identificador" => "tbl0015"
        "etiqueta" => "Tabla 3"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">IC95&#37;&#58; intervalo de confianza del 95&#37;&#59; IMC&#58; &#237;ndice de masa corporal&#46; PAS&#58; presi&#243;n arterial sist&#243;lica&#59; PAD&#58; presi&#243;n arterial diast&#243;lica&#59; HDL&#58; <span class="elsevierStyleItalic">high density lipoprotein</span>&#59; LDL&#58; <span class="elsevierStyleItalic">low density lipoprotein</span>&#59; ATP&#58; Adult Treatment Panel&#46;</p><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Las variables continuas se expresan como medias&#44; con su IC95&#37;&#44; salvo los triglic&#233;ridos&#44; que se expresan como mediana&#44; con su respectivo IC95&#37;&#46; Las variables cualitativas se expresan como porcentajes con su IC95&#37;&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Diab&#233;ticos N &#61; 139 &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">No diab&#233;ticos N &#61; 1195 &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">p &#40;entre diab&#233;ticos y no diab&#233;ticos&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sexo &#40;&#37; varones&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;4 &#40;56&#44;6-71&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&#44;0 &#40;39&#44;1-44&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Edad &#40;a&#241;os&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59&#44;7 &#40;58&#44;5-60&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#44;4 &#40;49&#44;4-55&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Lugar de residencia &#40;&#37; urbano&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">80&#44;2 &#40;72&#44;8-87&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">76&#44;3 &#40;73&#44;4-79&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;164&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Nivel educativo &#40;&#37; con nivel bajo&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&#44;9 &#40;40&#44;6-57&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">38&#44;0 &#40;35&#44;2-40&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;016&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sedentarismo &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#44;1 &#40;42&#44;6-59&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#44;9 &#40;49&#44;9-55&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;720&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IMC &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#44;1 &#40;28&#44;8-31&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27&#44;7 &#40;25&#44;4-30&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad &#40;IMC &#8805;30&#41; &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">44&#44;6 &#40;36&#44;3-52&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&#44;6 &#40;22&#44;2-27&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Per&#237;metro abdominal &#40;cm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">101&#44;6 &#40;97&#44;5-105&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">92&#44;3 &#40;89&#44;5-95&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad abdominal &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&#44;8 &#40;53&#44;7-69&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">38&#44;2 &#40;35&#44;4-40&#44;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Glucemia basal &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">148&#44;5 &#40;140&#44;6-156&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">91&#44;8 &#40;89&#44;5-94&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PAS &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">137&#44;5 &#40;134&#44;8-140&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">127&#44;1 &#40;124&#44;1-130&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PAD &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">80&#44;7 &#40;79&#44;2-82&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#44;2 &#40;75&#44;9-80&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;008&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertensi&#243;n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">72&#44;5 &#40;65&#44;1-79&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">38&#44;0 &#40;35&#44;2-40&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Dislipidemia &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">82&#44;6 &#40;73&#44;6-88&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">68&#44;6 &#40;66&#44;0-71&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colesterol total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">203&#44;6 &#40;196&#44;0-211&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">210&#44;7 &#40;205&#44;4-216&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;044&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colesterol LDL &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">129&#44;3 &#40;124&#44;3-134&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">133&#44;0 &#40;127&#44;0-139&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;276&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colesterol HDL &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">50&#44;0 &#40;47&#44;1-52&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56&#44;4 &#40;51&#44;8-61&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Triglic&#233;ridos &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">133 &#40;118-141&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">94 &#40;91-97&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Enfermedad cardiovascular &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15&#44;1 &#40;9&#44;1-21&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#44;8 &#40;3&#44;6-6&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tabaquismo &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19&#44;5 &#40;12&#44;9-26&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#44;6 &#40;23&#44;1-28&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico &#40;criterios ATPIII<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">68&#44;3 &#40;58&#44;5-78&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#44;6 &#40;19&#44;7-23&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab10684.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "es" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Comparaci&#243;n entre pacientes diab&#233;ticos y no diab&#233;ticos</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "tbl0020"
        "etiqueta" => "Tabla 4"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">OR&#58; <span class="elsevierStyleItalic">odds ratio</span>&#59; IC95&#37;&#58; intervalo de confianza del 95&#37;&#46;</p><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Variable dependiente&#58; diagn&#243;stico de diabetes&#46; Variables independientes introducidas en el modelo&#58; edad&#44; sexo&#44; hipertensi&#243;n arterial-nivel educativo&#44; obesidad abdominal&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">OR &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Edad &#40;&#62;50 a&#241;os frente &#8804;50 a&#241;os&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#44;4 &#40;2&#44;8-10&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Obesidad abdominal &#40;S&#237;&#47;No&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;9 &#40;1&#44;3-2&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Sexo &#40;mujer frente a hombre&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;4 &#40;0&#44;3-0&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Hipertensi&#243;n-nivel educativo</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No hipertensi&#243;n y nivel educativo medio-alto&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;7 &#40;0&#44;9-3&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No hipertensi&#243;n y nivel educativo bajo&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;2 &#40;1&#44;8-5&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Si hipertensi&#243;n&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No relaci&#243;n&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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        "descripcion" => array:1 [
          "es" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Factores independientemente asociados con diabetes tipo 2</p>"
        ]
      ]
      4 => array:7 [
        "identificador" => "tbl0025"
        "etiqueta" => "Tabla 5"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">HbA1c&#58; hemoglobina glucosilada&#59; IC95&#37;&#58; intervalo de confianza del 95&#37;&#59; IMC&#58; &#237;ndice de masa corporal&#59; PAS&#58; presi&#243;n arterial sist&#243;lica&#59; PAD&#58; presi&#243;n arterial diast&#243;lica&#46;</p><p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">Las variables continuas se expresan como medias con su IC95&#37;&#44; salvo los triglic&#233;ridos&#44; que se expresan como mediana con su respectivo IC95&#37;&#46; Las variables cualitativas se expresan como porcentajes con su IC95&#37;&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pacientes con HbA1c &#8805;7&#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pacientes con HbA1c &#60;7&#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">p entre ambos grupos &#40;HbA1c &#8805; vs&#46; &#60; 7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 42&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 53&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Edad &#40;a&#241;os&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;5 &#40;58&#44;1-62&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#44;3 &#40;55&#44;7-60&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;224&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sexo &#40;&#37; varones&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56&#44;7 &#40;41&#44;7-71&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43&#44;3 &#40;30&#44;0-56&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;436&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Nivel educativo &#40;&#37; nivel bajo&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#44;2 &#40;36&#44;1-66&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&#44;9 &#40;29&#44;6-56&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;310&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Lugar de residencia &#40;&#37; urbano&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">73&#44;8 &#40;60&#44;5-87&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83&#44;3 &#40;73&#44;3-93&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;230&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sedentarismo &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">57&#44;1 &#40;42&#44;1-72&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#44;3 &#40;45&#44;0-71&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;550&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tabaco &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&#44;8 &#40;13&#44;4-40&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#44;7 &#40;5&#44;2-24&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;161&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Enfermedad cardiovascular &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">19&#44;0 &#40;7&#44;1-30&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">16&#44;7 &#40;6&#44;7-26&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#46;511&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Per&#237;metro de cintura &#40;cm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">103&#44;7 &#40;100&#44;6-106&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">100&#44;2 &#40;96&#44;8-103&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#44;161&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">IMC &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">30&#44;7 &#40;29&#44;2-32&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">29&#44;4 &#40;28&#44;1-30&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#44;213&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">PAS &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">138&#44;1 &#40;133&#44;2-143&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">134&#44;9 &#40;129&#44;7-140&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;393&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">PAD &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">81&#44;45 &#40;78&#44;9-83&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">78&#44;6 &#40;76&#44;0-81&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#44;148&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">198&#44;3 &#40;187&#44;9-208&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">200&#44;0 &#40;189&#44;8-210&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;822&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#44;296&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">Tipo de tratamiento antidiab&#233;tico &#40;&#37; solo dieta frente a tratamiento farmacol&#243;gico&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">21&#44;4 &#40;9&#44;0-33&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">62&#44;3 &#40;49&#44;3-75&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
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          "es" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Comparaci&#243;n entre pacientes diab&#233;ticos en funci&#243;n de su control gluc&#233;mico</p>"
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          "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">&#191;Qu&#233; se sabe sobre el tema&#63;</span><p id="par0185" class="elsevierStylePara elsevierViewall">Estudios poblacionales realizados en adultos espa&#241;oles muestran una gran variabilidad regional en la prevalencia de la diabetes mellitus&#44; que se situ&#225; en torno a un 10&#37;&#46; La prevalencia de factores de riesgo cardiovascular en la regi&#243;n de Madrid es poco conocida&#44; por lo que el presente trabajo&#44; realizado en atenci&#243;n primaria&#44; a&#241;ade informaci&#243;n de inter&#233;s&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">&#191;Qu&#233; a&#241;ade el estudio realizado a la literatura&#63;</span><p id="par0190" class="elsevierStylePara elsevierViewall">Nuestros datos muestran una prevalencia de diabetes mellitus intermedia respecto a la de Espa&#241;a&#44; pero con un porcentaje bajo de diab&#233;ticos no diagnosticados &#40;un 17&#37; del total de los diab&#233;ticos&#41;&#46; Estas cifras de prevalencia representan un reto de salud p&#250;blica y justifican un esfuerzo creciente de los m&#233;dicos de atenci&#243;n primaria para el diagn&#243;stico y el tratamiento precoz de los factores de riesgo cardiovascular&#46;</p></span></span>"
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        0 => array:2 [
          "identificador" => "bibs0005"
          "bibliografiaReferencia" => array:36 [
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              "etiqueta" => "1"
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Obesity and diabetes in the developing world - a growing challenge"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "P&#46; Hossain"
                            1 => "B&#46; Kawar"
                            2 => "M&#46; El Nahas"
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                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1056/NEJMp068177"
                      "Revista" => array:6 [
                        "tituloSerie" => "N Engl J Med"
                        "fecha" => "2007"
                        "volumen" => "356"
                        "paginaInicial" => "213"
                        "paginaFinal" => "215"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17229948"
                            "web" => "Medline"
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            1 => array:3 [
              "identificador" => "bib0010"
              "etiqueta" => "2"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Consenso SEEDO 2007 para la evaluaci&#243;n del sobrepeso y la obesidad y el establecimiento de criterios de intervenci&#243;n terap&#233;utica"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "M&#46;A&#46; Rubio"
                            1 => "J&#46; Salas-Salvad&#243;"
                            2 => "M&#46; Barbany"
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                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Rev Esp Obes"
                        "fecha" => "2007"
                        "volumen" => "5"
                        "paginaInicial" => "135"
                        "paginaFinal" => "175"
                        "itemHostRev" => array:3 [
                          "pii" => "S0165037806002543"
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                          "issn" => "01650378"
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            2 => array:3 [
              "identificador" => "bib0015"
              "etiqueta" => "3"
              "referencia" => array:1 [
                0 => array:1 [
                  "referenciaCompleta" => "United for Diabetes Campaign&#46; Key messages&#46; Brussels&#44; Belgium&#58; International Diabetes Federation&#59; 2007&#46; Disponible en&#58; <a class="elsevierStyleInterRef" href="http://www.unitefordiabetes.org/assets/files/UNR_key_messages_20060828.pdf">http&#58;&#47;&#47;www&#46;unitefordiabetes&#46;org&#47;assets&#47;files&#47;UNR&#95;key&#95;messages&#95;20060828&#46;pdf</a>&#46; &#218;ltimo acceso&#58; 2-7-2011&#46;"
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              ]
            ]
            3 => array:3 [
              "identificador" => "bib0020"
              "etiqueta" => "4"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Global burden of diabetes projections 1995-2025&#46; Prevalence&#44; numerical estimates&#44; and projections"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "H&#46; King"
                            1 => "R&#46;E&#46; Aubert"
                            2 => "W&#46;H&#46; Herman"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Diabetes Care"
                        "fecha" => "1998"
                        "volumen" => "21"
                        "paginaInicial" => "1414"
                        "paginaFinal" => "1431"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/9727886"
                            "web" => "Medline"
                          ]
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                      ]
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                ]
              ]
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            4 => array:3 [
              "identificador" => "bib0025"
              "etiqueta" => "5"
              "referencia" => array:1 [
                0 => array:1 [
                  "referenciaCompleta" => "Internacional Diabetes Federation&#46; Prevalence estimates of diabetes mellitus&#44; 2007&#46; &#40;Consultado el 2-7-2011&#46;&#41; European Region&#46; Disponible en&#58; <a class="elsevierStyleInterRef" href="http://www.eatlas.idf.org/">http&#58;&#47;&#47;www&#46;eatlas&#46;idf&#46;org</a>"
                ]
              ]
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            5 => array:3 [
              "identificador" => "bib0030"
              "etiqueta" => "6"
              "referencia" => array:1 [
                0 => array:1 [
                  "referenciaCompleta" => "Ministerio de Sanidad y Consumo&#46; Estrategia en diabetes del Sistema Nacional de Salud&#46; Madrid&#44; junio de 2007&#46; &#40;Consultado el 2-7-2011&#46;&#41; Disponible en&#58; <a class="elsevierStyleInterRef" href="http://www.msc.es/">http&#58;&#47;&#47;www&#46;msc&#46;es</a>"
                ]
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            6 => array:3 [
              "identificador" => "bib0035"
              "etiqueta" => "7"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prevalencia de diabetes mellitus y factores de riesgo cardiovascular en la poblaci&#243;n adulta de la Comunidad de Madrid&#58; estudio PREDIMERC&#44; PREvalencia de DIabetes MEllitus y Riesgo Cardiovascular en la poblaci&#243;n adulta de la Comunidad de Madrid"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "E&#46; Gil"
                            1 => "B&#46; Zorrilla"
                            2 => "H&#46; Ortiz"
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                    0 => array:2 [
                      "doi" => "10.1016/j.gaceta.2010.01.010"
                      "Revista" => array:6 [
                        "tituloSerie" => "Gac Sanit"
                        "fecha" => "2010"
                        "volumen" => "24"
                        "paginaInicial" => "233"
                        "paginaFinal" => "240"
                        "link" => array:1 [
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                            "web" => "Medline"
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            7 => array:3 [
              "identificador" => "bib0040"
              "etiqueta" => "8"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Metabolic syndrome&#58; prevalence&#44; determinants and C-reactive protein levels&#46; The MADRIC &#40;MADdrid RIesgo Cardiovascular&#41; Study"
                      "autores" => array:1 [
                        0 => array:3 [
                          "colaboracion" => "on behalf the MAPA Working Group"
                          "etal" => true
                          "autores" => array:3 [
                            0 => "M&#46;A&#46; Mart&#237;nez"
                            1 => "J&#46; Puig"
                            2 => "M&#46; Mora"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.metabol.2008.04.017"
                      "Revista" => array:6 [
                        "tituloSerie" => "Metabolism"
                        "fecha" => "2008"
                        "volumen" => "57"
                        "paginaInicial" => "1232"
                        "paginaFinal" => "1240"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18702949"
                            "web" => "Medline"
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            8 => array:3 [
              "identificador" => "bib0045"
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prevalencia&#44; grado de conocimiento y control de la hipertensi&#243;n arterial en una poblaci&#243;n espa&#241;ola&#46; Estudio MADRIC &#40;Madrid Riesgo Cardiovascular&#41;"
                      "autores" => array:1 [
                        0 => array:3 [
                          "colaboracion" => "en representaci&#243;n del grupo MAPA-Madrid"
                          "etal" => true
                          "autores" => array:3 [
                            0 => "M&#46;V&#46; Castell"
                            1 => "M&#46;A&#46; Mart&#237;nez"
                            2 => "J&#46; Sanz"
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                        ]
                      ]
                    ]
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                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:5 [
                        "tituloSerie" => "Med Clin &#40;Barc&#41;"
                        "fecha" => "2010"
                        "volumen" => "135"
                        "paginaInicial" => "671"
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              "identificador" => "bib0050"
              "etiqueta" => "10"
              "referencia" => array:1 [
                0 => array:1 [
                  "referenciaCompleta" => "Comunidad de Madrid&#46; C&#225;mara de cuentas&#46; Informe sobre la gesti&#243;n econ&#243;mico-presupuestaria de prestaci&#243;n de servicios sanitarios&#46; &#40;Consultado el 2-7-2011&#46;&#41; Disponible en&#58; <a class="elsevierStyleInterRef" href="http://www.madrid.org/camaradecuentas/attachments/100_Informe_servicios_sanitarios_a_desplazados.pdf">http&#58;&#47;&#47;www&#46;madrid&#46;org&#47;camaradecuentas&#47;attachments&#47;100&#95;Informe&#95;servicios&#95;sanitarios&#95;a&#95;desplazados&#46;pdf</a>"
                ]
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            10 => array:3 [
              "identificador" => "bib0055"
              "etiqueta" => "11"
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Prevalencia de diabetes en una población adulta de Madrid (España). Estudio MADRIC (MADrid RIesgo Cardiovascular)
Prevalence of diabetes in an adult population in the region of Madrid (Spain). The Madrid Cardiovascular Risk study
Javier Rosado Martína,
Autor para correspondencia
jrosado.gapm05@salud.madrid.org

Autor para correspondencia.
, Ma Ángeles Martínez Lópezb, Teresa Mantilla Moratóc, Isidoro Dujovne Kohand, Francisco Javier Palau Cuevase, Rosa Torres Jiménezf, Juan García Puigg, en representación del grupo MAPA , (RECAVA) +
a Centro de Salud Universitario Reina Victoria, Madrid, España
b Servicio de Medicina Interna, Hospital Infanta Sofía, San Sebastián de los Reyes, Madrid, España
c Centro de Salud Prosperidad, Madrid, España
d Centro de Salud Los Castillos, Alcorcón, Madrid, España
e Centro de Salud San Carlos, San Lorenzo de El Escorial, Madrid, España
f Laboratorio de Bioquímica, Hospital Universitario La Paz, Madrid, España
g Unidad Metabólico-Vascular, Servicio de Medicina Interna, Hospital Universitario La Paz, Madrid, España
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Introducci&#243;n</span><p id="par0005" class="elsevierStylePara elsevierViewall">La obesidad y la diabetes mellitus son dos procesos &#237;ntimamente relacionados cuya incidencia va <span class="elsevierStyleItalic">in crescendo</span><a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#8211;4</span></a>&#46; En el a&#241;o 1995 se estimaba una prevalencia mundial de diabetes mellitus del 4&#37; y una proyecci&#243;n del 5&#44;4&#37; para el a&#241;o 2025<a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">4&#44;5</span></a>&#46; La prevalencia de la diabetes mellitus en Espa&#241;a es muy variable&#44; dependiendo de la regi&#243;n evaluada&#44; y oscila entre el 6&#37; y el 12&#37;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a>&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">La diabetes mellitus es uno de los factores de riesgo que m&#225;s frecuentemente conducen a enfermedad cardiovascular&#46; Se calcula que el 70&#37; al 80&#37; de los diab&#233;ticos fallecer&#225;n por esta causa<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a>&#46; Su diagn&#243;stico precoz&#44; as&#237; como el de otros factores com&#250;nmente asociados&#44; como la obesidad y la hipertensi&#243;n arterial&#44; constituye un requisito imprescindible para instituir un tratamiento eficaz en la prevenci&#243;n de la mortalidad por causa cardiovascular&#46; Esta tarea habitualmente se realiza en los centros de atenci&#243;n primaria de nuestro pa&#237;s&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">En la Comunidad de Madrid no se ha realizado un estudio poblacional con medidas objetivas de los factores de riesgo cardiovascular desde hace m&#225;s de 17 a&#241;os&#44; excepto el estudio PREDIMERC &#40;PREvalencia de DIabetes MEllitus y Riesgo Cardiovascular&#41;&#44; recientemente publicado<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#46; Por este motivo&#44; en 2006 iniciamos el estudio MADRIC &#40;MADdrid RIesgo Cardiovascular&#41;&#44; con el fin de conocer la prevalencia de dichos factores en una poblaci&#243;n general adulta de Madrid&#46; Parte de sus resultados&#44; los referidos a s&#237;ndrome metab&#243;lico e hipertensi&#243;n&#44; ya han sido publicados<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">8&#44;9</span></a>&#46; El presente art&#237;culo tiene dos objetivos&#58; <span class="elsevierStyleItalic">1&#41;</span> comunicar las cifras de prevalencia de diabetes mellitus y de glucemia basal alterada&#44; y <span class="elsevierStyleItalic">2&#41;</span> describir la asociaci&#243;n de la diabetes mellitus con las caracter&#237;sticas sociodemogr&#225;ficas y otros factores de riesgo cardiovascular&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">M&#233;todos</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Dise&#241;o del estudio</span><p id="par0020" class="elsevierStylePara elsevierViewall">Realizamos un estudio transversal&#44; de base poblacional&#44; en la Comunidad de Madrid&#46; El trabajo de campo se realiz&#243; en 2006&#46; Por entonces&#44; m&#225;s del 95&#37; de los habitantes del censo de la poblaci&#243;n de Madrid dispon&#237;an de tarjeta sanitaria<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a>&#46; En el trabajo participaron 14 centros de salud&#46; El criterio de selecci&#243;n de dichos centros fue que en cada uno de ellos trabajara al menos un facultativo perteneciente a un grupo de trabajo de enfermedad cardiovascular &#40;grupo MAPA-Madrid<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a>&#41;&#46; Los centros participantes se encuentran situados en seis de las 11 &#225;reas sanitarias existentes en Madrid&#46; Dos de ellos son rurales &#40;&#60;10&#46;000 habitantes&#41; y el resto urbanos&#46; A partir del censo de usuarios de dichos centros se realiz&#243; un muestreo aleatorio estratificado por edad y sexo&#44; entre los sujetos con edades entre 31 y 70 a&#241;os &#40;extremos incluidos&#41;&#44; que entonces eran 197&#46;842&#46; Elegimos este grupo de edad porque se trata en su mayor&#237;a de poblaci&#243;n aparentemente sana&#44; en edad laboral&#44; en la cual varios factores de riesgo cardiovascular podr&#237;an estar infradiagnosticados&#46; El tama&#241;o muestral se calcul&#243; teniendo en cuenta que el objetivo original del proyecto era estimar la prevalencia del s&#237;ndrome metab&#243;lico&#44; calculada en un 20&#37; a partir de estudios previos<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a>&#46; Se calcul&#243; que ser&#237;a necesario estudiar 1&#46;292 sujetos&#44; estratificados en cuatro grupos de edad&#44; con el 50&#37; de individuos de cada sexo&#44; para un poder del 80&#37; y un nivel de confianza del 95&#37;&#46; La muestra inicial se increment&#243; un 30&#37; &#40;1&#46;679 sujetos&#41; en previsi&#243;n de posibles p&#233;rdidas&#46; Las edades de cada estrato fueron 31-40&#44; 41-50&#44; 51-60 y 61-70 a&#241;os&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Los dem&#225;s criterios de selecci&#243;n fueron la capacidad para desplazarse al centro de salud y la capacidad para dar su consentimiento informado&#46; Se consideraron criterios de exclusi&#243;n el embarazo y las enfermedades con una expectativa de vida inferior a 1 a&#241;o&#46; El proyecto fue aprobado por el Comit&#233; &#201;tico de Investigaci&#243;n Cl&#237;nica del Hospital Universitario La Paz &#40;Madrid&#41;&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Los m&#233;dicos reclutadores comprobaron los criterios de selecci&#243;n en la historia cl&#237;nica y mediante entrevista telef&#243;nica con los candidatos&#46; Finalmente&#44; 1689 individuos cumpl&#237;an los criterios de selecci&#243;n&#44; de los cuales 1402 &#40;83&#37;&#41; dieron su consentimiento por escrito&#46; Los pacientes que rechazaron participar ten&#237;an una edad media y una distribuci&#243;n por sexo similares a las de los que aceptaron&#46; Consultadas las historias cl&#237;nicas de las 287 personas que no consintieron&#44; pudo obtenerse informaci&#243;n relativa a factores de riesgo cardiovascular en 240&#46; En &#233;stos&#44; la frecuencia de hipertensi&#243;n y diabetes conocida no difer&#237;a significativamente de la observada en los que aceptaron participar&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">En la entrevista cl&#237;nica&#44; el m&#233;dico recogi&#243; la siguiente informaci&#243;n&#58; sexo&#44; edad&#44; nivel educativo&#44; factores de riesgo cardiovascular&#44; antecedentes de enfermedad cardiovascular y medicaci&#243;n relacionada con patolog&#237;a cardiovascular&#44; peso&#44; talla&#44; per&#237;metro de cintura y media de dos lecturas de presi&#243;n arterial&#46; En una segunda visita al centro de salud&#44; se extrajo una muestra de sangre basal para determinar la glucosa&#44; el colesterol total&#44; el colesterol HDL &#40;<span class="elsevierStyleItalic">high density lipoprotein</span>&#41;&#44; el colesterol LDL &#40;<span class="elsevierStyleItalic">low density lipoprotein</span>&#41; y los triglic&#233;ridos&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">El nivel educativo se clasific&#243; en tres categor&#237;as&#44; de modo similar a estudios previos<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a>&#58; bajo&#44; analfabetismo o estudios primarios&#59; medio&#44; bachiller&#44; formaci&#243;n profesional o estudios equivalentes&#59; y estudios universitarios&#46; Debido a que el n&#250;mero de sujetos con nivel educativo alto fue muy escaso&#44; decidimos fusionar los dos &#250;ltimos niveles en uno solo&#44; que denominamos medio-alto&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Se consider&#243; que el sujeto era sedentario si no realizaba ejercicio f&#237;sico regular &#40;paseo o actividad f&#237;sica equivalente durante un m&#237;nimo de 30 minutos al d&#237;a de promedio en su trabajo o tiempo de ocio&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Se clasific&#243; al paciente como diab&#233;tico si constaba dicho diagn&#243;stico en su historia cl&#237;nica&#44; recib&#237;a medicaci&#243;n antidiab&#233;tica o ten&#237;a una glucemia en ayunas &#8805; 126<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; Si &#233;sta se hallaba entre 100 y 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl sin diagn&#243;stico previo de diabetes&#44; se consideraba glucemia basal alterada<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a>&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">Se consider&#243; que un paciente era obeso si ten&#237;a un &#237;ndice de masa corporal &#40;IMC&#41; &#8805; 30<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#46; La obesidad abdominal se defini&#243; por un per&#237;metro abdominal &#8805; 102<span class="elsevierStyleHsp" style=""></span>cm en los hombres y &#8805; 88<span class="elsevierStyleHsp" style=""></span>cm en las mujeres<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">Se estableci&#243; que un sujeto padec&#237;a hipertensi&#243;n si hab&#237;a constancia en su historia cl&#237;nica&#44; consum&#237;a medicaci&#243;n antihipertensiva o presentaba cifras medias de presi&#243;n arterial &#8805;140&#47;90<span class="elsevierStyleHsp" style=""></span>mmHg en la exploraci&#243;n f&#237;sica<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a>&#46; La dislipidemia se defini&#243; por la presencia de colesterol total &#8805; 200<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#44; triglic&#233;ridos &#8805; 150<span class="elsevierStyleHsp" style=""></span>mg&#47;dl o tratamiento actual con f&#225;rmacos hipolipidemiantes<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a>&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">Se consider&#243; fumador a quien hubiera consumido al menos un cigarrillo en el &#250;ltimo mes<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a>&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">La enfermedad cardiovascular se defini&#243; por el antecedente documentado de &#225;ngor&#44; infarto de miocardio&#44; insuficiencia cardiaca&#44; arteriopat&#237;a perif&#233;rica&#44; ictus o aneurisma a&#243;rtico&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">An&#225;lisis estad&#237;stico</span><p id="par0075" class="elsevierStylePara elsevierViewall">El an&#225;lisis estad&#237;stico se realiz&#243; con el paquete SPSS<span class="elsevierStyleSup">&#174;</span>&#47;PC versi&#243;n 15 &#40;Chicago&#44; USA&#41;&#46; Los resultados de las variables cualitativas se expresaron en porcentajes&#46; Los estimadores se acompa&#241;aron de sus respectivos intervalos de confianza del 95&#37; &#40;IC95&#37;&#41;&#46; Para la comparaci&#243;n de medias entre variables con distribuci&#243;n normal se utiliz&#243; la prueba de la <span class="elsevierStyleItalic">t</span> de Student para datos independientes&#46; Cuando se compararon datos cuantitativos que no segu&#237;an una distribuci&#243;n normal se emple&#243; la prueba de Mann-Withney&#44; y para la posible asociaci&#243;n entre variables cualitativas la prueba de ji al cuadrado&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">Debido al tipo de muestreo&#44; el an&#225;lisis de los resultados de prevalencia se ponder&#243; teniendo en cuenta la estructura real por edad y sexo de la poblaci&#243;n madrile&#241;a de procedencia &#40;porcentajes&#41;&#44; de modo similar a otros estudios<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Con el fin de determinar la asociaci&#243;n independiente entre el diagn&#243;stico de diabetes mellitus y varios factores de riesgo cardiovascular se dise&#241;&#243; un modelo de regresi&#243;n log&#237;stica&#46; La variable dependiente fue &#171;diagn&#243;stico de diabetes mellitus&#187;&#46; La selecci&#243;n de variables independientes se realiz&#243; por motivos cl&#237;nicos&#44; evaluando adem&#225;s aquellas que pudieran actuar como factores de confusi&#243;n o interacci&#243;n&#46; Las dos variables de obesidad analizadas &#40;IMC y per&#237;metro abdominal&#41; compart&#237;an gran parte de informaci&#243;n&#44; por lo que s&#243;lo se incluy&#243; en el modelo la obesidad abdominal&#44; dada su mayor relaci&#243;n fisiol&#243;gica con la diabetes mellitus&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">Encontramos una interacci&#243;n de las variables &#171;hipertensi&#243;n&#187; y &#171;nivel educativo&#187;&#44; ya que los sujetos normotensos con un nivel educativo bajo presentaban una mayor asociaci&#243;n con la diabetes mellitus que aquellos con nivel medio-alto&#44; mientras que en los hipertensos el nivel educativo no afectaba a la relaci&#243;n con la diabetes mellitus&#46; Por este motivo se cre&#243; una nueva variable&#44; denominada &#171;hipertensi&#243;n-nivel educativo&#187;&#44; que pod&#237;a tener tres valores &#40;y no 4&#41;&#58; 1&#44; hipertensi&#243;n&#59; 2&#44; normotensi&#243;n con nivel educativo bajo&#59; y 3&#44; normotensi&#243;n con nivel educativo medio-alto&#46; Se calcularon las <span class="elsevierStyleItalic">odds ratio</span> &#40;OR&#41; y sus intervalos de confianza del 95&#37; &#40;IC95&#37;&#41; para todas las variables&#46;</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Resultados</span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Descripci&#243;n de la muestra</span><p id="par0095" class="elsevierStylePara elsevierViewall">Las caracter&#237;sticas de los sujetos participantes se presentan en la <a class="elsevierStyleCrossRef" href="#tbl0005">tabla 1</a>&#46; De la muestra inicial de 1402 personas&#44; 58 tuvieron que ser excluidas a posteriori por falta de datos cl&#237;nicos &#40;10 sujetos&#41; o negativa a realizarse la extracci&#243;n de sangre &#40;48 sujetos&#41;&#46; Se analizaron las caracter&#237;sticas sociodemogr&#225;ficas&#44; as&#237; como los datos obtenidos en la primera visita del estudio y la historia cl&#237;nica&#44; de los sujetos excluidos&#46; Podemos afirmar que estos individuos presentaban unas caracter&#237;sticas sociodemogr&#225;ficas y una frecuencia de los principales factores de riesgo cardiovascular &#40;diagn&#243;stico previo de hipertensi&#243;n&#44; diabetes mellitus u obesidad abdominal&#41; sin diferencias estad&#237;sticamente significativas con las de los sujetos incluidos&#46; La muestra final qued&#243; constituida por 1344 individuos &#40;44&#37; hombres&#44; 56&#37; mujeres&#41;&#44; con una edad media de 53 a&#241;os &#40;IC95&#37;&#58; 52&#44;5-53&#44;7&#41;&#46; La presentaci&#243;n de los datos por sexo en la <a class="elsevierStyleCrossRef" href="#tbl0005">tabla 1</a> permite apreciar la mayor presencia de factores de riesgo cardiovascular en los hombres&#44; con la excepci&#243;n del colesterol HDL y el sedentarismo&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Prevalencia de diabetes mellitus&#44; glucemia basal alterada y obesidad abdominal</span><p id="par0100" class="elsevierStylePara elsevierViewall">En la <a class="elsevierStyleCrossRef" href="#tbl0010">tabla 2</a> se muestran las frecuencias de diabetes&#44; glucemia basal alterada y otros factores de riesgo cardiovascular&#44; por estratos de edad y sexo&#46; Se observa c&#243;mo la frecuencia de diabetes y de glucemia basal alterada aumenta progresivamente con la edad y es mayor en los hombres que en las mujeres en la mayor&#237;a de los estratos de edad&#59; no obstante&#44; dicha superioridad tiende a reducirse a partir de la sexta d&#233;cada&#46; A diferencia de lo observado para la diabetes mellitus&#44; la obesidad abdominal y la hipercolesterolemia fueron m&#225;s frecuentes en las mujeres&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">En la <a class="elsevierStyleCrossRef" href="#tbl0010">tabla 2</a> tambi&#233;n se presentan las cifras de prevalencia de varios factores de riesgo cardiovascular&#44; ajustadas por edad y sexo&#46; La prevalencia de diabetes mellitus fue del 6&#44;6&#37; &#40;IC95&#37;&#58; 5&#44;9-8&#44;7&#41;&#44; y mayor en los hombres &#40;7&#44;3&#37;&#59; IC95&#37;&#58; 4&#44;0-7&#44;8&#41; que en las mujeres &#40;5&#44;9&#37;&#59; IC95&#37;&#58; 4&#44;8-8&#44;4&#41;&#46; En cuanto a la glucemia basal alterada&#44; su prevalencia fue del 14&#44;1&#37; &#40;IC95&#37;&#58;12&#44;1-15&#44;8&#41;&#44; es decir&#44; el doble de frecuente que la diabetes&#44; y al igual que &#233;sta&#44; claramente superior en los hombres&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Relaci&#243;n entre diabetes y otras variables</span><p id="par0110" class="elsevierStylePara elsevierViewall">Se compararon las caracter&#237;sticas sociodemogr&#225;ficas y cl&#237;nicas entre los participantes diab&#233;ticos y no diab&#233;ticos &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">tabla 3</a>&#41;&#46; En el estudio univariado&#44; la presencia de diabetes mellitus se asoci&#243; al sexo masculino y a cifras m&#225;s altas de edad&#44; presi&#243;n arterial&#44; IMC y per&#237;metro de cintura&#46; Tambi&#233;n se asoci&#243; a un menor nivel educativo&#44; dislipidemia &#40;espec&#237;ficamente colesterol HDL bajo y triglic&#233;ridos elevados&#41; y enfermedad cardiovascular&#46; En los diab&#233;ticos&#44; el per&#237;metro abdominal fue claramente superior al de los no diab&#233;ticos&#44; con una asociaci&#243;n estad&#237;sticamente significativa&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">Los factores asociados de modo independiente con diabetes mellitus&#44; evaluados mediante regresi&#243;n log&#237;stica&#44; fueron la edad&#44; el sexo&#44; la obesidad abdominal y la hipertensi&#243;n &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">tabla 4</a>&#41;&#46; El factor m&#225;s estrechamente relacionado con la diabetes mellitus fue la edad &#40;&#62; 50 a&#241;os frente a &#8804; 50 a&#241;os&#41;&#44; con una OR de 5&#44;4 &#40;IC95&#37;&#58; 2&#44;8-10&#44;3&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conocimiento y control de la diabetes mellitus</span><p id="par0120" class="elsevierStylePara elsevierViewall">De los 139 diab&#233;ticos identificados&#44; 24 &#40;17&#44;2&#37;&#59; IC95&#37;&#58; 10&#44;9-23&#44;5&#41; no hab&#237;an sido diagnosticados previamente de esta enfermedad&#46; Todos eran hipertensos&#46; Entre los 115 diab&#233;ticos conocidos&#44; 75 &#40;65&#44;2&#37;&#59; IC95&#37;&#58; 56&#44;5-76&#44;9&#41; recib&#237;an tratamiento farmacol&#243;gico para su diabetes mellitus&#58; 64 consum&#237;an antidiab&#233;ticos orales &#40;85&#44;3&#37;&#59; IC95&#37;&#58;77&#44;3-93&#44;3&#41;&#44; 19 insulina &#40;25&#44;3&#37;&#59; IC95&#37;&#58; 15&#44;5-35&#44;2&#41; y 7 ambos tratamientos &#40;9&#44;3&#37;&#59; IC95&#37;&#58; 2&#44;7-15&#44;9&#41;&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">La hemoglobina glucosilada &#40;HbA1c&#41; s&#243;lo se determin&#243; en 95 de los 115 diab&#233;ticos conocidos&#44; por tratarse de una variable no contemplada en el protocolo de estudio inicial&#46; De &#233;stos&#44; solo 53 &#40;55&#44;8&#37;&#59; IC95&#37;&#58; 45&#44;8-65&#44;8&#41; ten&#237;an unos valores de HbA1c &#60;7&#37;&#44; es decir&#44; presentaban un buen control metab&#243;lico&#46; Se investig&#243; qu&#233; factores se asociaban significativamente con el buen control metab&#243;lico&#46; Como puede verse en la <a class="elsevierStyleCrossRef" href="#tbl0025">tabla 5</a>&#44; de todas las variables evaluadas s&#243;lo se hall&#243; una asociaci&#243;n significativa con el tipo de tratamiento antidiab&#233;tico&#46; En concreto&#44; los pacientes tratados &#250;nicamente con dieta presentaron un mejor control gluc&#233;mico que los tratados con f&#225;rmacos antidiab&#233;ticos &#40;el 62&#44;3&#37; &#91;IC95&#37;&#58; 49&#44;3-75&#44;3&#93; frente al 21&#44;4&#37; &#91;IC95&#37;&#58; 9&#44;0-33&#44;8&#93;&#41;&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Discusi&#243;n</span><p id="par0130" class="elsevierStylePara elsevierViewall">El manejo adecuado e integral de la diabetes mellitus precisa&#44; como punto de partida&#44; el conocimiento de la realidad que representa en nuestro medio&#46; En este estudio&#44; realizado en una poblaci&#243;n adulta de la Comunidad de Madrid&#44; la prevalencia de diabetes mellitus&#44; ajustada por edad y sexo&#44; fue del 6&#44;6&#37;&#44; y un 14&#44;1&#37; adicional present&#243; glucemia basal alterada&#59; cifras realmente preocupantes&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">La prevalencia de la diabetes mellitus es muy variable seg&#250;n los distintos estudios publicados&#46; Nuestros datos muestran una prevalencia similar a la observada en otras regiones de Espa&#241;a&#46; Seg&#250;n la Encuesta Nacional de Salud de los a&#241;os 2001 y 2003&#44; la prevalencia ajustada de diabetes mellitus en la comunidad de Madrid era del 5&#44;7&#37;&#44; aunque al tratarse de datos autorreferidos probablemente infraestimen la prevalencia real<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a>&#46; El estudio PREDIMERC&#44; encuesta poblacional realizada en la Comunidad de Madrid en 2007&#44; incluy&#243; 2268 personas de 30 a 74 a&#241;os de edad<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#46; En dicho estudio se hall&#243; una prevalencia global de diabetes mellitus del 8&#44;1&#37;&#44; algo superior a la encontrada por nosotros&#46; Sin embargo&#44; las cifras de prevalencia de la glucemia basal alterada son muy dispares&#58; 5&#44;9&#37; en el estudio PREDIMERC y 14&#44;1&#37; en el presente estudio&#44; lo cual es explicable porque en el primero se utiliz&#243; como punto de corte definitorio de hiperglucemia 110<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#44; en lugar de los 100<span class="elsevierStyleHsp" style=""></span>mg&#47;dl en el nuestro&#44; m&#225;s acorde con los recientes consensos y actualmente en uso<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a>&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Por otra parte&#44; al comparar las prevalencias de diabetes mellitus observadas en Madrid con las de otras regiones espa&#241;olas&#44; se observan algunas diferencias importantes&#46; La mayor prevalencia se hall&#243; en Canarias&#46; En efecto&#44; en el estudio Gu&#237;a<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a>&#44; realizado en esta regi&#243;n&#44; la prevalencia de diabetes mellitus fue del 15&#44;9&#37; seg&#250;n los criterios de la American Diabetes Association &#40;ADA&#41; de 1997<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> &#40;18&#44;7&#37; seg&#250;n los de la Organizaci&#243;n Mundial de la Salud &#91;OMS&#93;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> de 1985&#41;&#44; lo que representa la cifra m&#225;s alta de toda Europa&#46; Posteriormente&#44; otro estudio en la misma regi&#243;n&#44; publicado en 2005&#44; estim&#243; una prevalencia total de diabetes mellitus del 13&#44;2&#37;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a>&#46; Estas cifras sugieren la presencia de alg&#250;n factor de car&#225;cter local &#40;gen&#233;tico o relacionado con los estilos de vida&#41; que influye en el desarrollo de diabetes&#46; Los datos disponibles en Espa&#241;a de poblaciones comparables a la nuestra registran una prevalencia de diabetes mellitus que var&#237;a entre el 5&#44;6&#37; y el 14&#44;8&#37;<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7&#44;20&#44;23&#8211;32</span></a>&#46; Una limitaci&#243;n para la comparaci&#243;n de datos es el criterio diagn&#243;stico utilizado&#44; que en algunos de ellos fue el de la OMS de 1985<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a>&#46; En nuestro trabajo observamos una asociaci&#243;n independiente entre la diabetes mellitus y varios factores&#44; como el sexo masculino&#44; la edad&#44; la presencia de obesidad abdominal y la hipertensi&#243;n&#44; observaci&#243;n coherente con estudios poblacionales previos<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a>&#46; Probablemente&#44; el n&#250;mero de diab&#233;ticos estudiados haya sido insuficiente para poder evaluar de manera adecuada otras variables&#44; como el grado de control metab&#243;lico y los factores que influyen en &#233;l&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">En el presente estudio destaca el alto porcentaje de sujetos con glucemia basal alterada&#44; lo que conlleva un alto riesgo de desarrollar diabetes en un futuro&#46; El porcentaje observado fue casi id&#233;ntico al 14&#44;2&#37; de sujetos no diab&#233;ticos que presentaron trastornos del metabolismo gluc&#237;dico en el estudio realizado en Telde &#40;Canarias&#41;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a>&#44; aunque en este &#250;ltimo se incluyeron tambi&#233;n sujetos con intolerancia a la glucosa&#46; Una reciente revisi&#243;n que analiza la prevalencia de prediabetes en Espa&#241;a&#44; utilizando varios estudios epidemiol&#243;gicos transversales&#44; muestra una prevalencia de glucemia basal alterada entre el 6&#37; y el 12&#37;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a>&#44; comparable a las de otras poblaciones europeas o de Estados Unidos&#46; Sin embargo&#44; al aplicar los criterios revisados de la ADA<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a>&#44; los mismos utilizados en nuestro estudio&#44; la prevalencia de glucemia basal alterada se triplica&#44; hasta alcanzar un 20&#37; a 30&#37;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a>&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">Es interesante destacar el hecho de que un 17&#44;2&#37; de los diab&#233;ticos identificados no conoc&#237;a el diagn&#243;stico&#44; lo cual representa un porcentaje inferior al publicado en otros estudios<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">24&#8211;27</span></a>&#44; entre ellos el PREDIMERC<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#46; Ello podr&#237;a sugerir una mejora en la detecci&#243;n precoz de esta enfermedad&#44; pero no podemos excluir cierto sesgo por el hecho de que los sujetos participantes estaban adscritos a centros especialmente interesados en el &#225;rea cardiovascular&#46; De modo similar&#44; en una publicaci&#243;n previa basada en la misma poblaci&#243;n&#44; comunicamos un porcentaje de casos de hipertensi&#243;n arterial no conocida tambi&#233;n inferior al referido por otros autores<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a>&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">La diabetes mellitus suele presentarse asociada a otros factores de riesgo cardiovascular&#44; como hipertensi&#243;n&#44; obesidad abdominal y dislipidemia&#44; que definen el llamado &#171;s&#237;ndrome metab&#243;lico&#187;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#46; En nuestra poblaci&#243;n&#44; el 68&#37; de los diab&#233;ticos presentaron dicho s&#237;ndrome&#44; el triple que los no diab&#233;ticos&#44; lo que representa un riesgo adicional de enfermedad cardiovascular y obliga a un abordaje integral diagn&#243;stico y terap&#233;utico&#46; La medida del per&#237;metro abdominal &#40;en nuestro estudio el 34&#44;6&#37; de los hombres y el 50&#44;0&#37; de las mujeres ten&#237;an obesidad abdominal&#41; constituye un buen indicador del riesgo de desarrollar resistencia a la insulina&#44; trastorno previo a la aparici&#243;n de diabetes&#46; A este respecto&#44; un estudio publicado por investigadores suecos sobre una poblaci&#243;n de 2746 individuos&#44; hombres y mujeres de 18 a 72 a&#241;os de edad&#44; demostr&#243; que una circunferencia &#60; 100<span class="elsevierStyleHsp" style=""></span>cm excluye a los individuos de presentar riesgo de resistencia a la insulina<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a>&#46; Por lo tanto&#44; el per&#237;metro de la cintura ser&#237;a un buen indicador del riesgo de diabetes&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">El dise&#241;o del presente estudio tiene varias limitaciones&#58;<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">1&#41;</span><p id="par0165" class="elsevierStylePara elsevierViewall">Si bien el muestreo se realiz&#243; de modo aleatorio entre los usuarios asignados a diversos centros de salud dispersos en la Comunidad de Madrid&#44; &#233;stos no representan a toda la regi&#243;n&#44; ya que fueron seleccionados en virtud de su pertenencia a un grupo de trabajo con inter&#233;s en el &#225;rea cardiovascular&#46; Esta circunstancia tambi&#233;n podr&#237;a justificar un mayor grado de detecci&#243;n y control de factores de riesgo cardiovascular&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">2&#41;</span><p id="par0170" class="elsevierStylePara elsevierViewall">La definici&#243;n de &#171;sedentarismo&#187; no se realiz&#243; siguiendo un cuestionario de actividad f&#237;sica validado&#44; lo que limita su comparaci&#243;n con otros estudios&#46;</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">3&#41;</span><p id="par0175" class="elsevierStylePara elsevierViewall">La determinaci&#243;n de la glucemia y de la presi&#243;n arterial se realiz&#243; en una sola visita al centro de salud&#44; lo cual posiblemente sobrestime la prevalencia real de diabetes e hipertensi&#243;n&#44; respectivamente&#46; No obstante&#44; esta limitaci&#243;n es com&#250;n a la mayor&#237;a de los estudios poblacionales y facilita la comparaci&#243;n de nuestros datos con los de otros trabajos publicados anteriormente&#46;</p></li></ul></p><p id="par0180" class="elsevierStylePara elsevierViewall">En resumen&#44; el estudio revela una prevalencia de diabetes mellitus en la Comunidad de Madrid por encima de las previsiones de la International Diabetes Federation para Espa&#241;a&#44; aunque similar a la de otras regiones espa&#241;olas&#44; as&#237; como un deficiente grado de conocimiento y control de la enfermedad&#46; Un diagn&#243;stico tard&#237;o de diabetes mellitus conlleva un mayor riesgo de complicaciones&#44; lo que aumenta la necesidad de plantear estrategias de diagn&#243;stico precoz en los individuos con alto riesgo de padecerla<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a>&#44; as&#237; como promover estilos de vida saludables&#44; para detener&#44; o al menos reducir&#44; la tendencia epid&#233;mica de la diabetes mellitus&#46;<elsevierMultimedia ident="tb0005"></elsevierMultimedia></p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Contribuciones de autor&#237;a</span><p id="par0195" class="elsevierStylePara elsevierViewall">Los autores de este trabajo declaran haber participado de modo sustancial en su concepci&#243;n y dise&#241;o&#44; as&#237; como en la interpretaci&#243;n de los datos&#44; y dan su aprobaci&#243;n a la versi&#243;n final del manuscrito&#46; Espec&#237;ficamente&#44; J&#46; Rosado y M&#46;A&#46; Mart&#237;nez L&#243;pez dise&#241;aron el estudio&#44; analizaron los datos y redactaron el manuscrito&#59; T&#46; Mantilla&#44; I&#46; Dujovne F&#46;J&#46; Palau coordinaron la recogida de los datos en los centros de salud y analizaron los datos&#59; R&#46; Torres supervis&#243; las determinaciones de bioqu&#237;mica y realiz&#243; el an&#225;lisis de las variables de laboratorio&#59; y J&#46; Garc&#237;a&#44; como director del Grupo de Trabajo MAPA&#44; fue responsable de la supervisi&#243;n del dise&#241;o del estudio y del an&#225;lisis de datos&#44; as&#237; como de la coordinaci&#243;n entre los centros de salud&#44; el laboratorio central y el Hospital La Paz&#46; Adem&#225;s&#44; los investigadores cuyos nombres aparecen en el Ap&#233;ndice han colaborado en la recogida de datos y la evaluaci&#243;n de los sujetos de estudio en sus respectivos centros de salud&#44; y han aprobado la versi&#243;n final del manuscrito&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Financiaci&#243;n</span><p id="par0200" class="elsevierStylePara elsevierViewall">El presente estudio fue financiado con una ayuda del Fondo de Investigaciones Sanitarias &#40;Proyecto PI050029&#41;&#44; la Red Cardiovascular &#40;RECAVA&#41; y el Laboratorio AstraZ&#233;neca&#46; Este &#250;ltimo limit&#243; su participaci&#243;n a la financiaci&#243;n de los cuadernos de recogida de datos y de los tensi&#243;metros&#46; No ha intervenido en el dise&#241;o&#44; la obtenci&#243;n ni la interpretaci&#243;n de los datos del estudio<span class="elsevierStyleItalic">&#46;</span></p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conflictos de intereses</span><p id="par0205" class="elsevierStylePara elsevierViewall">Ninguno&#46;</p></span></span>"
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        "resumen" => "<span class="elsevierStyleSectionTitle">Objetivo</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Estimar la prevalencia de diabetes mellitus y de glucemia basal alterada en una poblaci&#243;n adulta de Madrid&#46;</p> <span class="elsevierStyleSectionTitle">M&#233;todos</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Estudio transversal de base poblacional&#46; Incluy&#243; 1344 adultos &#40;31-70 a&#241;os de edad&#41;&#44; seleccionados aleatoriamente del censo de usuarios de 14 centros de salud de la Comunidad de Madrid&#46; Se realizaron las siguientes determinaciones&#58; cuestionario cl&#237;nico&#44; exploraci&#243;n f&#237;sica y an&#225;lisis de sangre basal &#40;glucemia&#44; triglic&#233;ridos y colesterol&#41;&#46; Se consideraron diab&#233;ticos aquellos previamente diagnosticados por su m&#233;dico&#44; as&#237; como los que presentaron una glucemia basal &#8805; 126<span class="elsevierStyleHsp" style=""></span>mg&#47;dl en ausencia de un diagn&#243;stico previo de diabetes&#46; Con una glucemia entre 100 y 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl en ausencia de diabetes se clasificaron como glucemia basal alterada&#46;</p> <span class="elsevierStyleSectionTitle">Resultados</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Las prevalencias de diabetes y de glucemia basal alterada&#44; ajustadas por edad y sexo&#44; fueron del 6&#44;6&#37; &#40;intervalo de confianza del 95&#37; &#91;IC95&#37;&#93;&#58; 5&#44;9-8&#44;7&#41; y del 14&#44;1&#37; &#40;IC95&#37;&#58; 12&#44;1-15&#44;8&#41;&#44; respectivamente&#46; Un 17&#44;2&#37; &#91;IC95&#37;&#58; 10&#44;9-23&#44;5&#93; de los diab&#233;ticos detectados no hab&#237;an sido diagnosticado previamente de esta enfermedad&#46; Los factores asociados de modo independiente con la diabetes fueron la edad&#44; el sexo masculino&#44; la presencia de obesidad abdominal y la hipertensi&#243;n arterial&#46;</p> <span class="elsevierStyleSectionTitle">Conclusiones</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">En nuestra poblaci&#243;n de Madrid&#44; la prevalencia de diabetes es similar a la de otras regiones espa&#241;olas&#46; Es destacable el alto porcentaje de sujetos con una glucemia basal alterada&#44; lo cual&#44; asociado a la obesidad&#44; conlleva un alto riesgo de desarrollar diabetes en el futuro&#46;</p>"
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        "resumen" => "<span class="elsevierStyleSectionTitle">Objective</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">To estimate the prevalence of diabetes mellitus and impaired fasting glycemia in an adult population living in Madrid &#40;Spain&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Methods</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">In this cross-sectional&#44; population-based survey&#44; we studied 1&#44;344 adults aged 31-70 years&#44; randomly selected from the population living in 14 primary care districts of the Madrid region&#46; All participants underwent a clinical evaluation that included a clinical interview&#44; physical examination and fasting blood analysis &#40;glycemia&#44; cholesterol and triglyceride levels&#41;&#46; The participants were considered to be diabetic if they had been previously diagnosed with diabetes by their general physician or had a fasting glycemia &#8805; 126<span class="elsevierStyleHsp" style=""></span>mg&#47;dl without a previous diabetes diagnosis&#46; Impaired fasting glycemia was defined as fasting glycemia between 100<span class="elsevierStyleHsp" style=""></span>mg&#47;dl and 125<span class="elsevierStyleHsp" style=""></span>mg&#47;dl in non-diabetic participants&#46;</p> <span class="elsevierStyleSectionTitle">Results</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">The sex- and age-adjusted prevalence figures for diabetes and impaired fasting glucose were 6&#46;6&#37; &#40;95&#37; CI&#58; 5&#46;9-8&#46;7&#41; and 14&#46;1&#37; &#40;95&#37; CI&#58; 12&#46;1-15&#46;8&#41;&#44; respectively&#46; A substantial proportion of diabetic patients &#91;17&#46;2&#37; &#40;95&#37; CI&#58; 10&#46;9-23&#46;5&#41;&#93; had not been previously diagnosed&#46; The variables independently associated with diabetes were age&#44; male gender&#44; abdominal obesity and hypertension&#46;</p> <span class="elsevierStyleSectionTitle">Conclusions</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Our prevalence figure for diabetes is similar to those reported in other Spanish regions&#46; The high frequency of impaired fasting glucose is worrisome&#44; particularly when combined with obesity&#44; as this association confers a high risk for developing diabetes mellitus&#46;</p>"
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            "apendice" => "<p id="par0215" class="elsevierStylePara elsevierViewall">En el presente estudio han colaborado los siguientes investigadores del Grupo de trabajo MAPA &#40;Monitorizaci&#243;n Ambulatoria de la Presi&#243;n Arterial&#41; de Madrid<span class="elsevierStyleItalic">&#46; Hospital Universitario La Paz&#44; Servicio de Medicina Interna&#44; Unidad de Riesgo Vascular&#58;</span> J&#46;G&#46; Puig&#44; M&#46; Mora&#59; <span class="elsevierStyleItalic">Servicio de Nefrolog&#237;a&#58;</span> A&#46; Torre&#59; <span class="elsevierStyleItalic">Servicio de Bioqu&#237;mica&#58;</span> R&#46; Torres&#59; <span class="elsevierStyleItalic">Laboratorio de Urgencias&#58;</span> P&#46; Fern&#225;ndez&#46; <span class="elsevierStyleItalic">Hospital Infanta Sof&#237;a&#44; Servicio de Medicina Interna&#58;</span> M&#46;A&#46; Mart&#237;nez&#46; <span class="elsevierStyleItalic">Centro de Salud Fuencarral&#58;</span> JL Mart&#237;nez&#59; <span class="elsevierStyleItalic">Centro de Salud Bustarviejo&#58;</span> I&#46; Laguna&#44; I&#46; S&#225;enz del Castillo&#44; Y&#46; Hidalgo&#44; C&#46; Villar&#59; <span class="elsevierStyleItalic">Centro de Salud B&#176; del Pilar&#58;</span> A&#46; Rabanal&#59; <span class="elsevierStyleItalic">Centro de Salud Castroviejo&#58;</span> V&#46; Castell&#44; G&#46; Ant&#243;n&#44; R&#46; Juli&#225;n&#44; J&#46;M&#46; Doral&#44; E&#46; Dur&#225;n&#44; M&#46;J&#46; Alv&#225;rez&#59; <span class="elsevierStyleItalic">Centro de Salud El Molar&#58;</span> P&#46; O&#8217;Dogherty&#44; R&#46; Arag&#243;n&#44; C&#46; Refolio&#44; A&#46; Hijano&#59; <span class="elsevierStyleItalic">Centro de Salud Dr&#46; Tamames&#58;</span> P&#46; Loeches&#44; J&#46;L&#46; Ant&#243;n&#44; M&#46;S&#46; Blesa&#44; J&#46; Sanz&#44; M&#46;E&#46; Gerez&#44; T&#46; S&#225;nchez-Villares&#44; L&#46;F&#46; Gimbel&#44; M&#46;J&#46; Gomara&#44; M&#46;L&#46; Revuelta&#46; <span class="elsevierStyleItalic">Centro de Salud Mar B&#225;ltico&#58;</span> J&#46; Rosado&#44; T&#46; Mantilla&#44; I&#46; Dujovne&#44; J&#46;M&#46; Molero&#44; J&#46;M&#46; de Dios&#59; <span class="elsevierStyleItalic">Centro de Salud Jazm&#237;n&#58;</span> J&#46; Suero&#44; G&#46; Artiach&#44; C&#46; Aguila&#44; Y&#46; Canellas&#44; M&#46;A&#46; Nieto&#44; I&#46; Pe&#241;a&#44; C&#46; Moriy&#243;n&#59; <span class="elsevierStyleItalic">Centro de Salud Espronceda&#58;</span> A&#46; Nevado&#59; <span class="elsevierStyleItalic">Ambulatorio Andr&#233;s Mellado&#58;</span> M&#46;A&#46; Cuadrado&#59; <span class="elsevierStyleItalic">Centro de Salud Chopera&#58;</span> J&#46;J&#46; Gonz&#225;lez&#44; M&#46; Ferrer&#44; I&#46; Contreras&#44; M&#46;L&#46; Pascual&#44; P&#46; Seguido&#46; <span class="elsevierStyleItalic">Centro de Salud Potes&#58;</span> F&#46;J&#46; Castellanos&#59; <span class="elsevierStyleItalic">Centro de Salud El Escorial&#58;</span> F&#46;J&#46; Palau&#44; M&#46; de la Cueva&#46; <span class="elsevierStyleItalic">Centro de Salud Tres Cantos&#58;</span> J&#46;C&#46; Obaya&#44; A&#46; Castellanos&#44; B&#46; Morales&#44; V&#46;L&#46; Alonso&#44; S&#46; Garc&#237;a-Morato&#44; E&#46;M&#46; Santos&#44; J&#46; Ruiz&#44; V&#46; O&#241;ate&#46; <span class="elsevierStyleItalic">Centro de Salud Paracuellos del Jarama&#58;</span> J&#46;M&#46; Rubio&#46; <span class="elsevierStyleItalic">Ambulatorio Jos&#233; Marva &#40;Laboratorio&#41;&#58;</span> C&#46; Eisman&#44; J&#46; Marcos&#46;</p>"
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          "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">IC95&#37;&#58; intervalo de confianza del 95&#37;&#59; IMC&#58; &#237;ndice de masa corporal&#59; ATPIII&#58; Adult Treatment Panel&#59; PAS&#58; presi&#243;n arterial sist&#243;lica&#59; PAD&#58; presi&#243;n arterial diast&#243;lica&#59; HDL&#58; <span class="elsevierStyleItalic">high density lipoprotein</span>&#59; LDL&#58; <span class="elsevierStyleItalic">low density lipoprotein</span>&#46;</p><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Las variables continuas se expresan como medias&#44; con su IC95&#37;&#44; salvo los triglic&#233;ridos&#44; que se expresan como mediana&#44; con su respectivo IC95&#37;&#46; Las variables cualitativas se expresan como porcentajes con su IC95&#37;&#46;</p>"
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          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">IC95&#37;&#58; intervalo de confianza del 95&#37;&#59; IMC&#58; &#237;ndice de masa corporal&#59; ATPIII&#58; Adult Treatment Panel&#46;</p><p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">El n&#250;mero de sujetos en cada estrato de edad es&#58; 31 a 40 a&#241;os&#44; 89 hombres y 141 mujeres&#59; 41 a 50 a&#241;os&#44; 135 hombres y 156 mujeres&#59; 51 a 60 a&#241;os&#44; 176 hombres y 211 mujeres&#59; y 61 a 70 a&#241;os&#58; 192 hombres y 244 mujeres&#46;</p>"
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            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Variable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="6" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Cifras de prevalencia expresada por estratos de edad y sexo</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Estrato de edad &#40;a&#241;os&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Hombres</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="2" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Mujeres</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">p &#40;hombres frente a mujeres&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">p de tendencia &#40;entre estratos de edad&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">p de tendencia &#40;entre estratos de edad&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diabetes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">31-40&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;1 &#40;0&#44;3-3&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">1&#44;4 &#40;0-0&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">1&#44;00&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">41-50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#44;0 &#40;2&#44;9-10&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#44;0 &#40;0&#44;0-0&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#44;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">51-60&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">20&#44;3 &#40;14&#44;3-26&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">10&#44;5 &#40;6&#44;4-14&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">61-70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">20&#44;9 &#40;15&#44;1-26&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">12&#44;7 &#40;8&#44;5-16&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;026&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Glucemia basal alterada&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#44;05&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">31-40&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#44;8 &#40;0&#44;9-10&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;7 &#40;0&#44;0-2&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;033&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41-50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#44;4 &#40;2&#44;3-10&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#44;6 &#40;0&#44;1-5&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;144&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">Hipertensi&#243;n arterial&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61-70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56&#44;0 &#40;49&#44;0-63&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">74&#44;3 &#40;68&#44;8-79&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertrigliceridemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;356&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;021&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31-40&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&#44;1 &#40;17&#44;0-35&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8&#44;0 &#40;3&#44;5-12&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41-50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#44;0 &#40;20&#44;4-35&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#44;7 &#40;7&#44;5-17&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51-60&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&#44;8 &#40;24&#44;9-38&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#44;5 &#40;13&#44;3-23&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61-70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#44;4 &#40;17&#44;4-29&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#44;3 &#40;13&#44;4-23&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;122&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab10688.png"
              ]
            ]
            1 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Variable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " colspan="3" align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Cifras de prevalencia ajustadas por sexo y edad</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Prevalencia global &#40;ajustada por edad y sexo&#41; &#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Prevalencia en varones &#40;ajustada por edad&#41; &#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Prevalencia en mujeres &#40;ajustada por edad&#41; &#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 1344&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 592&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 752&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diabetes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#44;6 &#40;5&#44;9-8&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7&#44;3 &#40;4&#44;0-7&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#44;9 &#40;4&#44;8-8&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Glucemia basal alterada&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#44;1 &#40;12&#44;1-15&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#44;6 &#40;15&#44;5-21&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10&#44;1 &#40;7&#44;9-12&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad abdominal &#40;criterios ATPIII<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">36&#44;8 &#40;34&#44;2-39&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&#44;7 &#40;38&#44;7-46&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#44;4 &#40;27&#44;1-36&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad &#40;IMC &#8805;30 kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#44;6 &#40;21&#44;3-25&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#44;3 &#40;21&#44;8-28&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22&#44;0 &#40;19&#44;0-25&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertensi&#243;n arterial&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34&#44;8 &#40;32&#44;4-37&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41&#44;3 &#40;37&#44;3-45&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#44;7 &#40;25&#44;5-31&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipercolesterolemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#44;3 &#40;50&#44;6-56&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#44;6 &#40;47&#44;6-55&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#44;9 &#40;51&#44;3-58&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertrigliceridemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#44;0 &#40;18&#44;8-23&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#44;3 &#40;26&#44;6-24&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#44;3 &#40;10&#44;0-14&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab10686.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "es" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Prevalencia de diabetes&#44; de glucemia basal alterada&#44; de hipertensi&#243;n arterial&#44; de hipercolesterolemia y de hipertrigliceridemia</p>"
        ]
      ]
      2 => array:7 [
        "identificador" => "tbl0015"
        "etiqueta" => "Tabla 3"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">IC95&#37;&#58; intervalo de confianza del 95&#37;&#59; IMC&#58; &#237;ndice de masa corporal&#46; PAS&#58; presi&#243;n arterial sist&#243;lica&#59; PAD&#58; presi&#243;n arterial diast&#243;lica&#59; HDL&#58; <span class="elsevierStyleItalic">high density lipoprotein</span>&#59; LDL&#58; <span class="elsevierStyleItalic">low density lipoprotein</span>&#59; ATP&#58; Adult Treatment Panel&#46;</p><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Las variables continuas se expresan como medias&#44; con su IC95&#37;&#44; salvo los triglic&#233;ridos&#44; que se expresan como mediana&#44; con su respectivo IC95&#37;&#46; Las variables cualitativas se expresan como porcentajes con su IC95&#37;&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Diab&#233;ticos N &#61; 139 &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">No diab&#233;ticos N &#61; 1195 &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">p &#40;entre diab&#233;ticos y no diab&#233;ticos&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sexo &#40;&#37; varones&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;4 &#40;56&#44;6-71&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&#44;0 &#40;39&#44;1-44&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Edad &#40;a&#241;os&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59&#44;7 &#40;58&#44;5-60&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#44;4 &#40;49&#44;4-55&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Lugar de residencia &#40;&#37; urbano&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">80&#44;2 &#40;72&#44;8-87&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">76&#44;3 &#40;73&#44;4-79&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;164&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Nivel educativo &#40;&#37; con nivel bajo&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&#44;9 &#40;40&#44;6-57&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">38&#44;0 &#40;35&#44;2-40&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;016&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sedentarismo &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#44;1 &#40;42&#44;6-59&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#44;9 &#40;49&#44;9-55&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;720&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IMC &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#44;1 &#40;28&#44;8-31&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27&#44;7 &#40;25&#44;4-30&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad &#40;IMC &#8805;30&#41; &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">44&#44;6 &#40;36&#44;3-52&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&#44;6 &#40;22&#44;2-27&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Per&#237;metro abdominal &#40;cm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">101&#44;6 &#40;97&#44;5-105&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">92&#44;3 &#40;89&#44;5-95&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Obesidad abdominal &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&#44;8 &#40;53&#44;7-69&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">38&#44;2 &#40;35&#44;4-40&#44;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Glucemia basal &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">148&#44;5 &#40;140&#44;6-156&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">91&#44;8 &#40;89&#44;5-94&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PAS &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">137&#44;5 &#40;134&#44;8-140&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">127&#44;1 &#40;124&#44;1-130&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PAD &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">80&#44;7 &#40;79&#44;2-82&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#44;2 &#40;75&#44;9-80&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;008&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hipertensi&#243;n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">72&#44;5 &#40;65&#44;1-79&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">38&#44;0 &#40;35&#44;2-40&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Dislipidemia &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">82&#44;6 &#40;73&#44;6-88&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">68&#44;6 &#40;66&#44;0-71&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colesterol total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">203&#44;6 &#40;196&#44;0-211&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">210&#44;7 &#40;205&#44;4-216&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;044&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colesterol LDL &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">129&#44;3 &#40;124&#44;3-134&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">133&#44;0 &#40;127&#44;0-139&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;276&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colesterol HDL &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">50&#44;0 &#40;47&#44;1-52&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56&#44;4 &#40;51&#44;8-61&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Triglic&#233;ridos &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">133 &#40;118-141&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">94 &#40;91-97&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Enfermedad cardiovascular &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15&#44;1 &#40;9&#44;1-21&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#44;8 &#40;3&#44;6-6&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tabaquismo &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19&#44;5 &#40;12&#44;9-26&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#44;6 &#40;23&#44;1-28&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">S&#237;ndrome metab&#243;lico &#40;criterios ATPIII<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">68&#44;3 &#40;58&#44;5-78&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#44;6 &#40;19&#44;7-23&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab10684.png"
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        "descripcion" => array:1 [
          "es" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Comparaci&#243;n entre pacientes diab&#233;ticos y no diab&#233;ticos</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "tbl0020"
        "etiqueta" => "Tabla 4"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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        "tabla" => array:2 [
          "leyenda" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">OR&#58; <span class="elsevierStyleItalic">odds ratio</span>&#59; IC95&#37;&#58; intervalo de confianza del 95&#37;&#46;</p><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Variable dependiente&#58; diagn&#243;stico de diabetes&#46; Variables independientes introducidas en el modelo&#58; edad&#44; sexo&#44; hipertensi&#243;n arterial-nivel educativo&#44; obesidad abdominal&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">OR &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Edad &#40;&#62;50 a&#241;os frente &#8804;50 a&#241;os&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#44;4 &#40;2&#44;8-10&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Obesidad abdominal &#40;S&#237;&#47;No&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;9 &#40;1&#44;3-2&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Sexo &#40;mujer frente a hombre&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;4 &#40;0&#44;3-0&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Hipertensi&#243;n-nivel educativo</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No hipertensi&#243;n y nivel educativo medio-alto&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#44;7 &#40;0&#44;9-3&#44;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>No hipertensi&#243;n y nivel educativo bajo&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#44;2 &#40;1&#44;8-5&#44;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Si hipertensi&#243;n&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No relaci&#243;n&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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                0 => "xTab10687.png"
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        "descripcion" => array:1 [
          "es" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Factores independientemente asociados con diabetes tipo 2</p>"
        ]
      ]
      4 => array:7 [
        "identificador" => "tbl0025"
        "etiqueta" => "Tabla 5"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">HbA1c&#58; hemoglobina glucosilada&#59; IC95&#37;&#58; intervalo de confianza del 95&#37;&#59; IMC&#58; &#237;ndice de masa corporal&#59; PAS&#58; presi&#243;n arterial sist&#243;lica&#59; PAD&#58; presi&#243;n arterial diast&#243;lica&#46;</p><p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">Las variables continuas se expresan como medias con su IC95&#37;&#44; salvo los triglic&#233;ridos&#44; que se expresan como mediana con su respectivo IC95&#37;&#46; Las variables cualitativas se expresan como porcentajes con su IC95&#37;&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pacientes con HbA1c &#8805;7&#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pacientes con HbA1c &#60;7&#37; &#40;IC95&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">p entre ambos grupos &#40;HbA1c &#8805; vs&#46; &#60; 7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 42&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">N &#61; 53&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Edad &#40;a&#241;os&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#44;5 &#40;58&#44;1-62&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#44;3 &#40;55&#44;7-60&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;224&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sexo &#40;&#37; varones&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56&#44;7 &#40;41&#44;7-71&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43&#44;3 &#40;30&#44;0-56&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;436&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Nivel educativo &#40;&#37; nivel bajo&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#44;2 &#40;36&#44;1-66&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&#44;9 &#40;29&#44;6-56&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;310&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Lugar de residencia &#40;&#37; urbano&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">73&#44;8 &#40;60&#44;5-87&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83&#44;3 &#40;73&#44;3-93&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;230&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sedentarismo &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">57&#44;1 &#40;42&#44;1-72&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#44;3 &#40;45&#44;0-71&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;550&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tabaco &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&#44;8 &#40;13&#44;4-40&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#44;7 &#40;5&#44;2-24&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;161&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Enfermedad cardiovascular &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19&#44;0 &#40;7&#44;1-30&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#44;7 &#40;6&#44;7-26&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;511&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Per&#237;metro de cintura &#40;cm&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">103&#44;7 &#40;100&#44;6-106&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">100&#44;2 &#40;96&#44;8-103&#44;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;161&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">IMC &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#44;7 &#40;29&#44;2-32&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&#44;4 &#40;28&#44;1-30&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;213&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PAS &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">138&#44;1 &#40;133&#44;2-143&#44;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">134&#44;9 &#40;129&#44;7-140&#44;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;393&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PAD &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">81&#44;45 &#40;78&#44;9-83&#44;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#44;6 &#40;76&#44;0-81&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;148&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Colesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">198&#44;3 &#40;187&#44;9-208&#44;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">200&#44;0 &#40;189&#44;8-210&#44;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;822&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Triglic&#233;ridos &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">135 &#40;122-138&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">102 &#40;92-112&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#44;296&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tipo de tratamiento antidiab&#233;tico &#40;&#37; solo dieta frente a tratamiento farmacol&#243;gico&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#44;4 &#40;9&#44;0-33&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">62&#44;3 &#40;49&#44;3-75&#44;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#44;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab10689.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "es" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Comparaci&#243;n entre pacientes diab&#233;ticos en funci&#243;n de su control gluc&#233;mico</p>"
        ]
      ]
      5 => array:5 [
        "identificador" => "tb0005"
        "tipo" => "MULTIMEDIATEXTO"
        "mostrarFloat" => false
        "mostrarDisplay" => true
        "texto" => array:1 [
          "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">&#191;Qu&#233; se sabe sobre el tema&#63;</span><p id="par0185" class="elsevierStylePara elsevierViewall">Estudios poblacionales realizados en adultos espa&#241;oles muestran una gran variabilidad regional en la prevalencia de la diabetes mellitus&#44; que se situ&#225; en torno a un 10&#37;&#46; La prevalencia de factores de riesgo cardiovascular en la regi&#243;n de Madrid es poco conocida&#44; por lo que el presente trabajo&#44; realizado en atenci&#243;n primaria&#44; a&#241;ade informaci&#243;n de inter&#233;s&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">&#191;Qu&#233; a&#241;ade el estudio realizado a la literatura&#63;</span><p id="par0190" class="elsevierStylePara elsevierViewall">Nuestros datos muestran una prevalencia de diabetes mellitus intermedia respecto a la de Espa&#241;a&#44; pero con un porcentaje bajo de diab&#233;ticos no diagnosticados &#40;un 17&#37; del total de los diab&#233;ticos&#41;&#46; Estas cifras de prevalencia representan un reto de salud p&#250;blica y justifican un esfuerzo creciente de los m&#233;dicos de atenci&#243;n primaria para el diagn&#243;stico y el tratamiento precoz de los factores de riesgo cardiovascular&#46;</p></span></span>"
        ]
      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "Bibliograf&#237;a"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0005"
          "bibliografiaReferencia" => array:36 [
            0 => array:3 [
              "identificador" => "bib0005"
              "etiqueta" => "1"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Obesity and diabetes in the developing world - a growing challenge"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "P&#46; Hossain"
                            1 => "B&#46; Kawar"
                            2 => "M&#46; El Nahas"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1056/NEJMp068177"
                      "Revista" => array:6 [
                        "tituloSerie" => "N Engl J Med"
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