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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Eating behavior by age&#44; gender and mobility&#46; Predicted means are showed for mobility to workplaces&#46; Red line indicates higher restriction &#40;3<span class="elsevierStyleSup">rd</span> quantile&#41; and the blue lower restriction &#40;1<span class="elsevierStyleSup">st</span> quantile&#41;&#46; Confidence intervals were omitted to facilitate visualization&#44; but can be consulted in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">In March 2020 COVID-19 caused by the SARS-CoV-2 virus was declared global pandemic&#46; Since then&#44; COVID-19 has generated multiple public health concerns around the world&#44; particularly due to the easiness of the virus transmission and disease morbidity and mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">1</span></a> Given the emergency situation&#44; government authorities have imposed closure measures and restrictions in order to reduce mobility and therefore physical contact in order to reduce the rate of infection&#46; Although lock-down measures have helped to prevent the spread of the virus and control the pandemic&#44; they have also negatively impacted mental health of people&#46;<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">2&#44;3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">COVID-19 pandemic has been associated with considerable psychological distress in terms of anxiety&#44; depression&#44; post-traumatic stress disorder&#44; among others&#44; which on the other hand are known triggers of unhealthy eating behaviors and poor sleep quality&#46;<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">4&#8211;6</span></a> Moreover&#44; it has been observed that the frequency of unhealthy eating behaviors and altered sleeping patterns have increased during COVID-19 pandemic&#46;<a class="elsevierStyleCrossRefs" href="#bib0200"><span class="elsevierStyleSup">5&#44;7&#44;8</span></a> Such deleterious consequences on mental health could be countered by resilience&#44; which refers to the ability to overcome adverse situations&#44; as those we have been experiencing from the start of the pandemic&#46;<a class="elsevierStyleCrossRefs" href="#bib0220"><span class="elsevierStyleSup">9&#44;10</span></a> A relevant construct within the notion of resilience is sense of coherence&#44; which can be measure by the sense of coherence scale and seeks to assess an individual&#39;s ability to perceive life experiences in a way that allows constructively face adversity&#46;<a class="elsevierStyleCrossRefs" href="#bib0220"><span class="elsevierStyleSup">9&#44;10</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Previous literature suggest that some population groups are more vulnerable to suffer mental health issues than others&#46;<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">6&#44;11&#44;12</span></a> In fact&#44; in comparison to men&#44; women show higher rates of stress-related psychiatric disorders&#44; such as depression and anxiety&#44; which has also been true during the pandemic&#46;<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">11&#44;12</span></a> Higher vulnerability of women is probably related to their predominant role as family caregivers and their greater susceptibility to social isolation&#44; which can trigger stress and exhaustion&#46; Furthermore&#44; there is evidence of sex differences in stress response&#44; which can determinate the onset of mental disorders&#46;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">13</span></a> From a public health policy perspective&#44; identification of groups with lower capability of adaptation might help prioritizing attention to vulnerable groups and therefore&#44; facing the pandemic more efficiently&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">The present study aimed to study the association between mobility restriction and mental health outcomes of Ecuadorian young male and female adults&#46; Four aspects of mental health were analyzed including&#44; emotional eating&#44; sleep quality&#44; depression&#44; and sense of coherence&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Study design and setting</span><p id="par0025" class="elsevierStylePara elsevierViewall">An observational cross-sectional study design was implemented&#46; An open&#44; on-line&#44; self-administered survey was used to collect data on socio-demographics and mental health&#46; Data on mobility was collected from Google Community Mobility Reports&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">14</span></a> Data collection took place between May and June 2020&#44; at that time confinement in Ecuador was mandatory&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">15</span></a></p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Sampling</span><p id="par0030" class="elsevierStylePara elsevierViewall">Our targeted population were young adults that is&#44; individuals between 18 and 35 years old&#44; men and women&#46; Invitations to participate in the study were published in platforms and social networks &#40;<span class="elsevierStyleItalic">i&#46;e&#46;</span> Facebook&#44; Instagram&#44; Twitter and WhatsApp&#41; of several Ecuadorian universities&#46; In this way&#44; the study population came from a non-probabilistic sampling and was mostly composed by university students and teachers&#46; From the 9582 responses received&#44; we exclude people younger than 18 or older than 35 years old&#44; whose age was not recorded or whom selected &#8220;other&#8221; as their gender &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1156&#41;&#46; The final sample included 8426 young adults&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Survey</span><p id="par0035" class="elsevierStylePara elsevierViewall">The survey was reviewed by four experts and first applied to 30 adults as a pilot study&#46; After corrections were implemented&#44; it was then distributed through social networks using Google Forms&#46; It was mandatory that participants filled out some of the questions and no incentive was offered for answering the survey&#46; Participants could review their responses and change their answers through a back button&#46; Duplicate entries were avoided by preventing users access twice&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Variables</span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">1&#41; Emotional eating</span><p id="par0040" class="elsevierStylePara elsevierViewall">Emotional eating was evaluated using a validated questionnaire&#46;<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">16</span></a> The emotional eating questionnaire included 10 questions with four possibly answers&#58; never&#44; sometimes&#44; frequently and always&#44; which were graded 0&#44; 1&#44; 2 or 3&#44; respectively&#46; Each participant could obtain a score between 0 and 30&#46; The lower the score&#44; the healthier the behavior&#46; Subjects were classified in four groups according to their score&#58; 0-5 non-emotional eater&#59; 6-10 low emotional eater&#59; 11-20 emotional eater&#59; and 21-30 very emotional eater&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">2&#41; Sleep quality</span><p id="par0045" class="elsevierStylePara elsevierViewall">Sleep quality was evaluated using the Spanish version of the Pittsburgh Sleep Quality Index &#40;PSQI&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">17</span></a> PSQI consists of 19 self-evaluated items&#44; grouped into seven components&#44; each one receiving a score from 0 to 3&#58; Subjective sleep quality&#44; sleep latency&#44; sleep duration&#44; sleep efficiency&#44; presence of sleep disorders&#44; hypnotic medication use&#44; and daytime dysfunction&#46; The total score is equal to the sum of the seven components with a maximum of 21 points&#46; Higher scores suggest worse sleep quality&#46; Sleep quality can be classified as &#8220;good&#8221; &#40;&#60;5 points&#41; or &#8220;poor&#8221; &#40;&#8805; 5&#41;<span class="elsevierStyleItalic">&#46;</span></p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">3&#41; Depression</span><p id="par0050" class="elsevierStylePara elsevierViewall">Symptoms of depression were evaluated using the Patient Health Questionnaire 9 &#40;PHQ9&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">18</span></a> While the first eight items ask about frequency of depression symptoms&#44; item nine asks over thoughts of dead or auto-mutilation&#46; Response options for each item are as follows&#58; &#8220;not at all&#8221; &#40;0 points&#41;&#44; &#8220;several days&#8221; &#40;1 point&#41;&#44; &#8220;more than half the days&#8221; &#40;2 points&#41; or &#8220;nearly every day&#8221; &#40;3 points&#41;&#46; PHQ9 total score ranges from 0 to 27&#46; Scores of 1&#8211;4 indicate minimal&#44; 5&#8211;9 mild&#44; 10&#8211;14 moderate&#44; 15&#8211;19 moderately severe&#44; and 20<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>severe symptoms of depression&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">4&#41; Sense of coherence</span><p id="par0055" class="elsevierStylePara elsevierViewall">Sense of coherence scale developed by Antonovsky was applied to measure general ability to cope with stressful life situations&#46;<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">19</span></a> In this study&#44; a reduced format with 15 items was used&#46; The instrument was previously validated in Ecuadorian population&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">9</span></a> Respondents were asked to mark their response to each item on a scale of five alternatives&#58; never&#44; almost never&#44; sometimes&#44; almost always&#44; and always&#44; which received scores from 0 to 5&#44; respectively&#46; The final score ranges on a scale from 0 to 75 points <a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">9</span></a>&#46; The higher the score&#44; the higher the sense of coherence&#46;<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">19</span></a></p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">5&#41; Mobility</span><p id="par0060" class="elsevierStylePara elsevierViewall">Mobility during the confinement was measured using Google Community Mobility Reports&#44; which are publicly available and can be accessed via https&#58;&#47;&#47;www&#46;google&#46;com&#47;covid19&#47;mobility&#47;&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">14</span></a> Google Community Mobility Reports show movement trends by regions across different categories of places including&#44; retail and recreation&#44; grocery and pharmacy&#44; parks&#44; transit stations&#44; residential and workplaces&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">14</span></a> Reports are created with aggregated&#44; anonymized sets of data from users&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">14</span></a></p><p id="par0065" class="elsevierStylePara elsevierViewall">Data show how visits to places or time spent in places change compared to baseline days&#44; which represent normal values of mobility for a typical day of the week&#46; The baseline day is the median value form the five-week period between January 3 and February 6&#44; 2020&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">14</span></a> Change of mobility with respect to the baseline day is calculated as the percentage difference between mobility at a specific day and its corresponding baseline day&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">14</span></a> We extracted data for mobility for day during 2020 and matched it to the date the participant answered the survey&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">6&#41; Gender</span><p id="par0070" class="elsevierStylePara elsevierViewall">Gender was defined by the question &#8220;How do you identify yourself&#63;&#8221;&#46; This question had three possible answers&#58; woman&#44; men&#44; other&#46; As few persons answered &#8220;other&#8221; &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>26&#41;&#44; we did not include this category in the analysis&#46;</p></span></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Statistical analyses</span><p id="par0075" class="elsevierStylePara elsevierViewall">We implemented four linear multiple regression models&#44; one for each of the mental health aspects that were evaluated&#46; In this way&#44; scores for emotional eating&#44; sleep quality&#44; depression and sense of coherence were included in the regression models as dependent variables&#46; Our main predictors were percentage of mobility change&#44; gender and age&#46; From the six aspects of mobility initially considered&#44; we included two in the models in order to avoid collinearity&#44; since most of them were highly correlated &#40;<a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Fig&#46; I</a>&#41;&#46; These included mobility to workplaces and to groceries&#47;pharmacies&#44; which were of interest for our purpose&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">All analyses were conducted using R version 3&#46;6&#46;3 &#40;2020-02-29&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">20</span></a> RStudio version 1&#46;3&#46;1093&#44;<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">21</span></a> and the package rms to implement the regression models&#46;<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">22</span></a> Adjusted predicted means with 95&#37; confidence intervals &#40;95&#37;CI&#41; were calculated for each of the scores&#46; Predicted means were adjusted by living with a partner&#44; taking sleeping pills&#44; area of residence &#40;urban <span class="elsevierStyleItalic">vs&#46;</span> rural&#41;&#44; occupation &#40;student&#44; working or unemployed&#41;&#44; and auto-report of times per week of leaving home&#46; Age was included in the model as a linear predictor with restrictive cubic splines using the function &#8220;rcs&#8221;&#46; Bootstrap estimates of the covariance matrix of coefficients were calculated using the function &#8220;bootcov&#8221; to obtain unconditional estimates&#46; We applied 500 repetitions&#46; Bootstrap estimates were corrected for intra-cluster correlation&#46; A cluster was considered to be the province the respondents reported to be living in&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Ethics approval and related considerations</span><p id="par0085" class="elsevierStylePara elsevierViewall">The present study was carried out following the Declaration of Helsinki to work with human beings and in accordance with the Singapore Declaration on Integrity in Research&#46; It was approved by the Scientific Committee of the School of Medicine and Instituto de Investigaci&#243;n &#40;IDI&#41; of the Escuela Superior Polit&#233;cnica de Chimborazo&#46; Participants who voluntarily accepted to participated&#44; filled out an informed consent form&#44; which was included at the beginning of the survey&#46; We did not collect any personal information that allowed identification&#46;</p></span></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Results</span><p id="par0090" class="elsevierStylePara elsevierViewall">Sample included 8426 individuals&#46; Mean and median age of participants were 22&#46;85 &#40;standard deviation&#58; 4&#46;43&#41; and 21 &#40;interquartil range&#58; 6&#41;&#44; respectively&#46; The majority of respondents were women &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>5943&#44; 70&#46;53&#37;&#41;&#46; Among women and men&#44; the majority reported living without a partner&#44; residing in urban areas&#44; and not needing medication to sleep &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46; More than 80&#37; of respondents among women and men were university students&#46; Only few respondents among women and men reported never leaving home during mandatory confinement &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46; Women respondents were younger than men&#46; In comparison to men&#44; more women were students or unemployed and reported living with a partner&#46; Women reported leaving home less often than men during the mandatory confinement &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">During the time the survey took place &#40;May-June 2020&#41;&#44; mobility due to retail and recreation was reduced by 47&#46;22&#37;&#44; mobility to grocery and pharmacy was reduced by 29&#46;75&#37;&#44; to parks by 46&#46;44&#37;&#44; to transit stations by 52&#46;93&#37;&#44; and to workplaces to 39&#46;83&#37;&#46; In contrast&#44; time spent in residential places increased by 23&#46;71&#37;&#46; Mean and median change percentages for different aspects of mobility by sex are showed in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">In comparison to men&#44; women showed worst scores for emotional eating&#44; PHQ-9 and PSQI &#40;<a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#41;&#46; On the other hand&#44; sense of coherence was higher for men in comparison to women &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; Percentage of emotional eaters or very emotional eaters were higher among women in comparison to men &#40;29&#46;09&#37; vs&#46; 17&#46;08&#37;&#41; &#40;<a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#41;&#46; Additionally&#44; women more often showed signs of depression &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; Finally&#44; in comparison to men&#44; women more often reported having poor sleep quality &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Mobility and emotional eating behavior</span><p id="par0105" class="elsevierStylePara elsevierViewall">Both&#44; mobility change to workplaces &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>16&#46;40&#44; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and groceries&#47;pharmacies &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#46;64&#44; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;031&#41; were significantly associated to emotional eating behavior&#46; In this way&#44; a higher restriction of mobility for both places was associated with less healthy eating behavior&#46; Emotional eating behavior was also significantly associated to gender &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>186&#46;67&#44; p &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and age &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>25&#46;24&#44; p &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; For instance&#44; women as well as youngsters showed significantly less healthy eating behavior than men and older respondents &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a> and <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Fig&#46; II</a>&#41;&#46; Model information&#44; adjusted predicted emotional eating behavior scores and their 95&#37; confidence intervals for predictors are showed in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Mobility and depression</span><p id="par0110" class="elsevierStylePara elsevierViewall">Both&#44; mobility change to workplaces &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>13&#46;41&#44; p &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and groceries&#47;pharmacies &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>7&#46;93&#44; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;005&#41; were significantly associated to depression&#46; In this way&#44; a higher restriction of mobility for both places was associated with a higher score for depressive symptoms&#46; Depressive symptoms were also significantly associated to gender &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>69&#46;10&#44; p &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and age &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>10&#46;78&#44; p &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; For instance&#44; women as well as youngsters more often showed depressive symptoms than men and older respondents &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a> and <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Fig&#46; III</a>&#41;&#46; Model information&#44; adjusted predicted PHQ-9 scores and their 95&#37; confidence intervals for predictors are showed in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Mobility and sleep quality</span><p id="par0115" class="elsevierStylePara elsevierViewall">Both&#44; mobility change to workplaces &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>13&#46;41&#44; p &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and groceries&#47;pharmacies &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>7&#46;93&#44; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;005&#41; were significantly associated to sleep quality&#46; In this way&#44; a higher restriction of mobility for both places was associated with a worse sleep quality&#46; Sleep quality was also significantly associated to gender &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>7&#46;48&#44; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;006&#41;&#44; but not to age &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;98&#44; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;094&#41;&#46; In comparison to men&#44; women showed higher PSQI than men&#44; suggesting worse sleep quality &#40;<a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a> and <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Fig&#46; IV</a>&#41;&#46; Model information&#44; adjusted predicted PSQI scores and their 95&#37; confidence intervals for predictors are showed in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Mobility and sense of coherence</span><p id="par0120" class="elsevierStylePara elsevierViewall">Both&#44; mobility change to workplaces &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#46;31&#44; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;038&#41; and groceries&#47;pharmacies &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#46;03&#44; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;045&#41; were significantly associated to sense of coherence&#46; In this way&#44; a higher restriction of mobility for both places was associated with a lower score for sense of coherence&#46; Sense of coherence was also significantly associated to age &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>67&#46;79&#44; p &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; but not to gender &#40;df<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44; F<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;57&#44; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;210&#41;&#46; Youngsters showed significantly lower sense of coherence than older respondents &#40;<a class="elsevierStyleCrossRef" href="#fig0020">Fig&#46; 4</a> and <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Fig&#46; V</a>&#41;&#46; Model information&#44; adjusted predicted SOC-15 scores and their 95&#37; confidence intervals for predictors are showed in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia></span></span><span id="sec0100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0160">Discussion</span><p id="par0125" class="elsevierStylePara elsevierViewall">This is the first study to evaluate mental health in Ecuadorian young adults during the COVID-19 pandemic&#44; addressing four aspects of mental health&#58; emotional eating&#44; sleep quality&#44; depression and sense of coherence as a proxy of resilience&#46; We found that emotional eating&#44; poor sleep quality&#44; depression and a low sense of coherence were related to higher mobility restriction&#46; Women and youngsters were more vulnerable to the detrimental effects of confinement on mental health&#46;</p><span id="sec0105" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0165">Mental health and mobility restriction</span><p id="par0130" class="elsevierStylePara elsevierViewall">The fact that lock-down measures negatively influence mental health is supported by previous evidence&#46;<a class="elsevierStyleCrossRefs" href="#bib0290"><span class="elsevierStyleSup">23&#44;24</span></a> However&#44; the present is one of the few that took into account compliance to confinement&#44; although indirectly measured&#46; Among young adults&#44; factors associated with higher mental distress due the confinement might be related not only to their inner psychological characteristics but also to adverse socioeconomic circumstances derived from the pandemic&#46;<a class="elsevierStyleCrossRefs" href="#bib0295"><span class="elsevierStyleSup">24&#8211;26</span></a> In this line&#44; previous research showed that individuals who perceive COVID-19 as emotionally threatening&#44; feel lonely or are less resilient exhibit higher mental distress&#46;<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">24</span></a></p><p id="par0135" class="elsevierStylePara elsevierViewall">On the other hand&#44; it is also likely that mental distress emerges as result of the damaging effects of distancing measures and stay-at-home orders on the economic situation of families&#46;<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">27</span></a> Indeed&#44; economic crisis may affect mental health either by increasing risk factors &#40;<span class="elsevierStyleItalic">i&#46;e</span>&#46;&#44; unemployment&#44; indebtedness&#44; loss of socioeconomic position&#41; or by weakening protective factors &#40;<span class="elsevierStyleItalic">i&#46;e</span>&#46;&#44; job security and welfare programs&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">24</span></a> Moreover&#44; economic crisis has been associated to increased need for general help sought for mental health problems&#44; higher use of prescription drugs and increased hospital admissions for mental disorders&#46;<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">24</span></a></p></span><span id="sec0110" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0170">Mental health of women and youngsters</span><p id="par0140" class="elsevierStylePara elsevierViewall">Our findings and those of other studies suggest that women are in greater risk of suffering depression&#44; as well as sleep and eating disorders in comparison to men&#46;<a class="elsevierStyleCrossRefs" href="#bib0210"><span class="elsevierStyleSup">7&#44;23&#44;24&#44;28&#44;29</span></a> Higher vulnerability of women to experience mental distress is not well understood&#44; but it probably relates to gender differences regarding access to health care and gender expected roles in society and economic production&#46;<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">30</span></a> In comparison to men&#44; women generally have less access to health care and their diseases diagnosed later&#44; which as a result cause them to be treated less successfully&#46; Additionally&#44; women usually have to balance work and household tasks being more vulnerable to suffer psychological burden&#46;<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">30</span></a> On the other hand&#44; it is also know the influence of sex-based differences on certain mental health outcomes&#44; which are not taken into account to provide medical treatment to women&#46;<a class="elsevierStyleCrossRefs" href="#bib0325"><span class="elsevierStyleSup">30&#44;31</span></a></p><p id="par0145" class="elsevierStylePara elsevierViewall">Similarly to other studies&#44; we also found an association between mental health distress and age during the COVID-19 pandemic&#46;<a class="elsevierStyleCrossRefs" href="#bib0210"><span class="elsevierStyleSup">7&#44;32&#44;33</span></a> In general&#44; it seems that youngsters had suffered higher mental health burden due to social isolation than did older people during confinement&#46; In the context of the pandemic youngster&#39;s vulnerability might be explained by the abrupt and drastic change in their daily life-style&#46; Sudden isolation and disintegration of their social networks could have prompted feelings of loneliness&#44; which has been linked to mental health problems such as stress and anxiety in the future&#46;<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">34</span></a> Moreover&#44; during the lock-down youngsters&#44; who already are at higher risk of mental health problems and self-harm than other age groups&#44; have been exposed to situations that exacerbate self-harm and suicide ideation&#44; including feeling trapped&#44; defeated and hopeless&#46;<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">34</span></a></p></span><span id="sec0115" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0175">Implications strengths and limitations</span><p id="par0150" class="elsevierStylePara elsevierViewall">The analyzes carried out in the population regarding health-disease phenomena derived from confinement require the attention of the scientific community for the formulation of adequate health policies&#46; In this way&#44; our findings highlight the need of promoting resilience specially among the most vulnerable population&#44; <span class="elsevierStyleItalic">i&#46;e&#46;</span> women and youngsters in order to help them overcome the devastating consequences of the pandemic&#46;<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">35</span></a> Moreover&#44; our study confirms the importance of discussing the implementation of gender-specific health measures to monitor and address the negative effects of the pandemic&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">Our study is important because it is the first one conducted in Ecuador including near 9000 participants&#46; Moreover&#44; it provides for the first time an insight on the association of lock-down and mental health of young adults and differences among women and men&#46; However&#44; our study has several limitations&#58; first&#44; although we evaluated changes in mobility for the population in general&#44; we failed to extract information on personal compliance to the mandatory confinement&#59; second&#44; our study lacks of external validity since participants came from a non-probabilistic sampling&#44; and therefore our findings can not be generalized to the general population&#59; and finally&#44; due to our study design we were not able to establish a causal relationship between mobility restrictions&#44; nor to address the impact of other important factors such as environmental context&#46;</p></span></span><span id="sec0120" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0180">Data availability</span><p id="par0160" class="elsevierStylePara elsevierViewall">Data will be available upon request to the corresponding author&#46;<elsevierMultimedia ident="tb0005"></elsevierMultimedia></p></span><span id="sec0140" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0200">Editor in charge</span><p id="par0180" class="elsevierStylePara elsevierViewall">Leila P&#46; Garc&#237;a&#46;</p></span><span id="sec0145" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0205">Transparency declaration</span><p id="par0185" class="elsevierStylePara elsevierViewall">The corresponding author on behalf of the other authors guarantee the accuracy&#44; transparency and honesty of the data and information contained in the study&#44; that no relevant information has been omitted and that all discrepancies between authors have been adequately resolved and described&#46;</p></span><span id="sec0150" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0210">Authorship contributions</span><p id="par0190" class="elsevierStylePara elsevierViewall">T&#46;V&#46; Carpio-Arias&#58; conceptualization&#44; methodology&#44; formal analysis&#44; investigation&#44; data curation&#44; writing&#44; original draft&#44; writing&#44; review and editing&#46; J&#46;S&#46; Piedra-Andrade&#58; formal analysis&#44; data curation&#44; writing original draft&#44; review and editing&#46; T&#46;M&#46; Nicolalde-Cifuentes&#58; conceptualization&#44; data curation&#44; writing original draft&#44; review and editing&#46; M&#46;V&#46; Padilla-Samaniego&#58; conceptualization&#44; writing original draft&#44; review and editing&#46; E&#46;C&#46; Tapia-Veloz&#58; design of the study&#44; acquisition and interpretation of the data&#46; M&#46;F&#46; Vinueza-Veloz&#58; conceptualization&#44; methodology&#44; formal analysis&#44; investigation&#44; data curation&#44; writing&#44; original draft&#44; writing&#44; review and editing&#46; All authors were involved in drafting of the work or revising it critically for important intellectual content&#46; All authors approved the final version to be published and agree to be accountable for all aspects of the work&#46;</p></span><span id="sec0155" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0215">Acknowledgments</span><p id="par0195" class="elsevierStylePara elsevierViewall">The authors thank the ESPOCH Research Institute &#40;IDI&#41; for the support provided&#46; Special thanks also to Dr&#46; Maria Paulina Robalino Valdivieso and Dr&#46; Hugo Moreno for their support&#46;</p></span><span id="sec0160" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0220">Funding</span><p id="par0200" class="elsevierStylePara elsevierViewall">None&#46;</p></span><span id="sec0165" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0225">Conflicts of interest</span><p id="par0205" class="elsevierStylePara elsevierViewall">None&#46;</p></span></span>"
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                  "titulo" => "1&#41; Emotional eating"
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                  "titulo" => "6&#41; Gender"
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              "titulo" => "Mobility and emotional eating behavior"
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              "titulo" => "Mobility and depression"
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            2 => array:2 [
              "identificador" => "sec0090"
              "titulo" => "Mobility and sleep quality"
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              "titulo" => "Mobility and sense of coherence"
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          "titulo" => "Discussion"
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              "titulo" => "Mental health and mobility restriction"
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              "titulo" => "Mental health of women and youngsters"
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              "titulo" => "Implications strengths and limitations"
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            0 => "COVID-19"
            1 => "Mental health"
            2 => "Young adults"
            3 => "Ecuador"
            4 => "Depression"
            5 => "Resilience psychological"
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            0 => "COVID-19"
            1 => "Salud mental"
            2 => "Adultos j&#243;venes"
            3 => "Ecuador"
            4 => "Depresi&#243;n"
            5 => "Resiliencia psicol&#243;gica"
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    "resumen" => array:2 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To study the association between mobility restriction and mental health outcomes among Ecuadorian young adults&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The present is a cross-sectional study that included a non-probabilistic sample of mostly highly educated young adults&#46; Socio-demographic and mental health data were collected through an online survey&#44; between May and June 2020&#44; when confinement was mandatory in Ecuador&#46; Data on mobility was extracted from Google Community Mobility Reports&#46; Four aspects of the participants&#8217; mental health were evaluated&#58; eating behavior &#40;emotional eating&#41;&#44; depression&#44; sleep quality and sense of coherence as a proxy of resilience&#44; using previously validated instruments&#46; Data were analyzed using multiple linear regression models in R&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Sample included 8426 young adults&#44; with a mean age of 22&#46;85 &#40;standard deviation&#58; 4&#46;43&#41;&#44; most of whom were women &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>5943&#44; 70&#46;53&#37;&#41;&#46; During mandatory confinement&#44; in Ecuador mobility in general was reduced by nearly 50&#37; in comparison to January&#47;February&#44; 2020&#46; Less healthy eating behavior&#44; depression&#44; worse sleep quality and lower sense of coherence were associated with higher mobility restriction to workplaces and groceries&#47;pharmacies&#46; Women and youngsters more often showed depression&#44; less healthy eating behavior&#44; worse quality of sleep and lower sense of coherence in comparison with men and older respondents&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Mobility restrictions during COVID-19 pandemic were associated with worse self-reported mental health in a sample of young highly-educated Ecuadorian adults&#46; Women and youngsters were the most affected&#46; Our findings highlight the need of implementing health promotion measures directed to ameliorate the effects of confinement on mental health&#44; focusing on women and youngsters&#46;</p></span>"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Estudiar la asociaci&#243;n entre la restricci&#243;n de movilidad y la salud mental en personas adultas j&#243;venes de Ecuador&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todo</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio transversal que incluy&#243; una muestra no probabil&#237;stica de personas adultas j&#243;venes con alto nivel de educaci&#243;n&#46; Los datos sociodemogr&#225;ficos y de salud mental se recolectaron entre mayo y junio de 2020&#44; cuando el confinamiento fue obligatorio&#44; usando una encuesta en l&#237;nea&#46; Los datos sobre movilidad se extrajeron de Google Community Mobility Reports&#46; Se evaluaron cuatro aspectos de la salud mental&#58; alimentaci&#243;n emocional&#44; depresi&#243;n&#44; calidad de sue&#241;o y sentido de coherencia como <span class="elsevierStyleItalic">proxy</span> de resiliencia&#44; usando instrumentos previamente validados&#46; Los datos se analizaron con modelos de regresi&#243;n lineal m&#250;ltiple usando R&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La muestra incluy&#243; 8426 j&#243;venes&#44; con una edad media de 22&#44;85 a&#241;os &#40;desviaci&#243;n est&#225;ndar&#58; 4&#46;43&#41;&#44; mujeres en su mayor&#237;a &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>5943&#44; 70&#46;53&#37;&#41;&#46; Durante el confinamiento obligatorio&#44; la movilidad se redujo aproximadamente un 50&#37;&#46; Comportamientos alimentarios menos saludables&#44; depresi&#243;n&#44; peor calidad del sue&#241;o y menor sentido de coherencia se asociaron con mayor restricci&#243;n de movilidad a lugares de trabajo y peque&#241;os comercios o farmacias&#46; Mujeres y j&#243;venes mostraron con mayor frecuencia depresi&#243;n&#44; conductas alimentarias menos saludables&#44; peor calidad del sue&#241;o y menor sentido de coherencia&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Las restricciones de movilidad durante la pandemia de COVID-19 se asociaron con una peor salud mental en personas adultas j&#243;venes con alto nivel de educaci&#243;n&#46; Mujeres y j&#243;venes fueron los m&#225;s afectados&#46; Es necesario implementar medidas de promoci&#243;n de la salud dirigidas a paliar los efectos del confinamiento en la salud mental&#44; especialmente en mujeres y j&#243;venes&#46;</p></span>"
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Eating behavior by age&#44; gender and mobility&#46; Predicted means are showed for mobility to workplaces&#46; Red line indicates higher restriction &#40;3<span class="elsevierStyleSup">rd</span> quantile&#41; and the blue lower restriction &#40;1<span class="elsevierStyleSup">st</span> quantile&#41;&#46; Confidence intervals were omitted to facilitate visualization&#44; but can be consulted in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p>"
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          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Depression by age&#44; gender and mobility&#46; Predicted means are showed for mobility to workplaces&#46; Red line indicates higher restriction &#40;3<span class="elsevierStyleSup">rd</span> quantile&#41; and the blue lower restriction &#40;1<span class="elsevierStyleSup">st</span> quantile&#41;&#46; Confidence intervals were omitted to facilitate visualization&#44; but can be consulted in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p>"
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          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Sleep quality by age&#44; gender and mobility change&#46; Predicted means are showed for mobility to workplaces&#46; Red line indicates higher restriction &#40;3<span class="elsevierStyleSup">rd</span> quantile&#41; and the blue lower restriction &#40;1<span class="elsevierStyleSup">st</span> quantile&#41;&#46; Confidence intervals were omitted to facilitate visualization&#44; but can be consulted in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p>"
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          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Sense of coherence by age&#44; gender and mobility change&#46; Predicted means are showed for mobility to workplaces&#46; Red line indicates higher restriction &#40;3<span class="elsevierStyleSup">rd</span> quantile&#41; and the blue lower restriction &#40;1<span class="elsevierStyleSup">st</span> quantile&#41;&#46; Confidence intervals were omitted to facilitate visualization&#44; but can be consulted in <a class="elsevierStyleCrossRef" href="#sec0175">Supplementary Table I</a>&#46;</p>"
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                  \t\t\t\t">Ranksum test&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Living with a partner</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t">2134 &#40;85&#46;94&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Chisq&#46; &#40;1 df&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>44&#46;17&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Area of residence</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t">Chisq&#46; &#40;1 df&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;97&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Use of sleeping pills</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t">2431 &#40;97&#46;91&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Chisq&#46; &#40;1 df&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;68&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">142 &#40;2&#46;39&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">52 &#40;2&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2016 &#40;81&#46;19&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Chisq&#46; &#40;2 df&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>125&#46;44&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Unemployed&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">380 &#40;6&#46;39&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">75 &#40;3&#46;02&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " colspan="9" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Auto-reported times leaving home</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Never&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1353 &#40;22&#46;77&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Chisq&#46; &#40;2 df&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>151&#46;66&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>1-2 times&#47;week&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1194 &#40;48&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>3 times&#47;week&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1419 &#40;23&#46;88&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">902 &#40;36&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Retail and recreation&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">-47&#46;25 &#40;10&#46;74&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Ranksum test&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">0&#46;070&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grocery and pharmacy&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">-25 &#40;-29&#44;-24&#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">-29&#46;82 &#40;12&#46;29&#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
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                  \t\t\t\t">-25 &#40;-29&#44;-23&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ranksum test&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  " align="left" valign="\n
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                  \t\t\t\t">Ranksum test&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">Ranksum test&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\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ranksum test&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&#46;005&nbsp;\t\t\t\t\t\t\n
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                  """
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          "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">EEQ&#58; Emotional Eater Questionnaire&#59; IQR&#58; interquartil range&#59; PHQ-9&#58; Patient Health Questionnaire 9&#59; PSQI&#58; Pittsburgh Sleep Quality Index by sex&#59; SD&#58; standard deviation&#59; SOC-15&#58; Sense of Coherence 15&#46;</p>"
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Mean&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" scope="col" style="border-bottom: 2px solid black">SD&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" scope="col" style="border-bottom: 2px solid black">Median&nbsp;\t\t\t\t\t\t\n
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                  \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" scope="col" style="border-bottom: 2px solid black">IQR&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">8&#46;04&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5&#46;83&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7&nbsp;\t\t\t\t\t\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">&#40;4-11&#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="" 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">6&#46;31&nbsp;\t\t\t\t\t\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&#46;04&nbsp;\t\t\t\t\t\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&nbsp;\t\t\t\t\t\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">&#40;2-9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Non-emotional eater&nbsp;\t\t\t\t\t\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
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1281&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">51&#46;59&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \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-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Low emotional eater&nbsp;\t\t\t\t\t\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">1861&nbsp;\t\t\t\t\t\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&#46;31&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">778&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">31&#46;33&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></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Emotional eater&nbsp;\t\t\t\t\t\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">1429&nbsp;\t\t\t\t\t\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">24&#46;05&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">385&nbsp;\t\t\t\t\t\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">15&#46;51&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
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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-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Very emotional eater&nbsp;\t\t\t\t\t\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">240&nbsp;\t\t\t\t\t\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">4&#46;04&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">&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">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">39&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#46;57&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PHQ-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="" valign="\n
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                  \t\t\t\t">5&#46;15&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5&#46;10&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">4&nbsp;\t\t\t\t\t\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">&#40;1-8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4&#46;09&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4&#46;89&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&nbsp;\t\t\t\t\t\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">&#40;0-6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Healthy&nbsp;\t\t\t\t\t\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">4428&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">74&#46;51&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1984&nbsp;\t\t\t\t\t\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">79&#46;90&nbsp;\t\t\t\t\t\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="" 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="" 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="" 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-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Major depression&nbsp;\t\t\t\t\t\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">158&nbsp;\t\t\t\t\t\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">2&#46;66&nbsp;\t\t\t\t\t\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="" 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="" 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="" valign="\n
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                  \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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&nbsp;\t\t\t\t\t\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">2&#46;34&nbsp;\t\t\t\t\t\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="" 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="" 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="" 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-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Minor depression&nbsp;\t\t\t\t\t\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">1357&nbsp;\t\t\t\t\t\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">22&#46;83&nbsp;\t\t\t\t\t\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="" 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="" 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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">441&nbsp;\t\t\t\t\t\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">17&#46;76&nbsp;\t\t\t\t\t\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="" 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></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PHQ-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="" valign="\n
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                  \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">4&#46;91&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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;28&nbsp;\t\t\t\t\t\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&nbsp;\t\t\t\t\t\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">&#40;2-7&#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
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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="" 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">4&#46;66&nbsp;\t\t\t\t\t\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&#46;23&nbsp;\t\t\t\t\t\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">4&nbsp;\t\t\t\t\t\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">&#40;2-7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Good quality&nbsp;\t\t\t\t\t\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">3582&nbsp;\t\t\t\t\t\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&#46;27&nbsp;\t\t\t\t\t\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
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1539&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">64&#46;36&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="" 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-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Poor quality&nbsp;\t\t\t\t\t\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">2361&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">39&#46;73&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">885&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">35&#46;64&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">SOC-15&nbsp;\t\t\t\t\t\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">60&#46;03&nbsp;\t\t\t\t\t\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">9&#46;25&nbsp;\t\t\t\t\t\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&nbsp;\t\t\t\t\t\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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