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        "resumen" => "<span class="elsevierStyleSectionTitle">Objetivos</span><p class="elsevierStyleSimplePara elsevierViewall">Describir las desigualdades socioecon&#243;micas en la mortalidad en la Comunidad Aut&#243;noma del Pa&#237;s Vasco&#44; utilizando datos de mortalidad y socioecon&#243;micos por secciones censales&#46;</p> <span class="elsevierStyleSectionTitle">M&#233;todos</span><p class="elsevierStyleSimplePara elsevierViewall">Los datos sobre las defunciones y sobre la poblaci&#243;n fueron obtenidos del Instituto Vasco de Estad&#237;stica&#46; Se asign&#243; a cada defunci&#243;n las caracter&#237;sticas socioecon&#243;micas de su secci&#243;n censal y se construy&#243; un &#237;ndice de privaci&#243;n que combinaba cuatro indicadores socioecon&#243;micos&#46; Se estimaron tasas de mortalidad ajustadas por edad para cada quintil del &#237;ndice de privaci&#243;n por sexo&#44; grupo de edad &#40;0-64&#44; &#8805; 65 a&#241;os&#41; y causa de defunci&#243;n&#46; Mediante modelos de regresi&#243;n de Poisson se estimaron las razones de tasas ajustadas por edad y el exceso de mortalidad atribuible a las desigualdades&#46;</p> <span class="elsevierStyleSectionTitle">Resultados</span><p class="elsevierStyleSimplePara elsevierViewall">La mortalidad mostr&#243; un gradiente seg&#250;n el &#237;ndice de privaci&#243;n en ambos sexos&#44; siendo la mortalidad mayor en las secciones m&#225;s desfavorecidas&#46; Las mayores desigualdades se observaron en los varones menores de 65 a&#241;os&#46; Un 9&#44;3 y un 4&#44;9&#37; de las defunciones en los varones y en las mujeres&#44; respectivamente&#44; fueron atribuibles a las desigualdades socioecon&#243;micas&#46; La importancia relativa de las causas de muerte fue distinta seg&#250;n la medida de desigualdad utilizada&#44; y destacaron las causas relacionadas con los estilos de vida&#46;</p> <span class="elsevierStyleSectionTitle">Conclusiones</span><p class="elsevierStyleSimplePara elsevierViewall">Este estudio ilustra la utilidad de los datos por secci&#243;n censal para describir las desigualdades en la mortalidad y para identificar prioridades de intervenci&#243;n&#46;</p>"
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        "titulo" => "Abstract"
        "resumen" => "<span class="elsevierStyleSectionTitle">Objectives</span><p class="elsevierStyleSimplePara elsevierViewall">To describe socioeconomic inequalities in mortality in the Basque Country&#44; using mortality and socioeconomic data by census sections&#46;</p> <span class="elsevierStyleSectionTitle">Methods</span><p class="elsevierStyleSimplePara elsevierViewall">Mortality and population data were obtained from the Basque Institute of Statistics&#46; Socioeconomic characteristics of the census sections were assigned to each death and a deprivation index combining information from four socioeconomic indicators was computed&#46; Age-adjusted mortality rates by sex&#44; age group &#40;0-64 &#8805; 65&#41; and cause of death were calculated for each quintile of the deprivation index&#46; Poisson regression models were fitted to estimate age-adjusted rate ratios and excess mortality attributable to inequalities&#46;</p> <span class="elsevierStyleSectionTitle">Results</span><p class="elsevierStyleSimplePara elsevierViewall">Mortality showed a gradient according to the deprivation index in men and women&#46; Mortality was greater in the most deprived sections&#46; Mortality inequalities were observed in men younger than 65 years&#46; A total of 9&#46;3&#37; of deaths in men and 4&#46;9&#37; of those in women were attributable to socioeconomic inequalities&#46; The relative importance of the cause of death differed according to the inequality measure used&#46; Lifestyle-related causes of death were notable&#46;</p> <span class="elsevierStyleSectionTitle">Conclusion</span><p class="elsevierStyleSimplePara elsevierViewall">This study illustrates the potential utility of census section socioeconomic indicators both to describe socioeconomic inequalities in mortality and to identify priorities for interventions&#46;</p>"
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