<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Clémence Palazzo</style></author><author><style face="normal" font="default" size="100%">Renata T C Yokota</style></author><author><style face="normal" font="default" size="100%">Jean Tafforeau</style></author><author><style face="normal" font="default" size="100%">François Ravaud</style></author><author><style face="normal" font="default" size="100%">Cambois, Emmanuelle</style></author><author><style face="normal" font="default" size="100%">Serge Poiraudeau</style></author><author><style face="normal" font="default" size="100%">Herman Van Oyen</style></author><author><style face="normal" font="default" size="100%">Wilma J. Nusselder</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey</style></title><secondary-title><style face="normal" font="default" size="100%">Archives of Public Health</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">attribution method</style></keyword><keyword><style  face="normal" font="default" size="100%">chronic diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">DISABILITY</style></keyword><keyword><style  face="normal" font="default" size="100%">educational attainment</style></keyword><keyword><style  face="normal" font="default" size="100%">GALI</style></keyword><keyword><style  face="normal" font="default" size="100%">Global activity limitation Indicator</style></keyword><keyword><style  face="normal" font="default" size="100%">Socioeconomic status</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-12-2019</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">77</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Background&lt;/p&gt;

&lt;p&gt;This study aimed 1) to assess whether the contribution of chronic conditions to disability varies according to the educational attainment, 2) to disentangle the contributions of the prevalence and of the disabling impact of chronic conditions to educational disparities.&lt;/p&gt;

&lt;p&gt;Methods&lt;/p&gt;

&lt;p&gt;Data of the 2008–09 Disability Health Survey were examined (N = 23,348). The disability indicator was the Global Activity Limitation Indicator (GALI). The attribution method based on an additive hazard model was used to estimate educational differences in disabling impacts and in the contributions of diseases to disability. Counterfactual analyses were used to disentangle the contribution of differences in disease prevalence vs. disabling impact.&lt;/p&gt;

&lt;p&gt;Results&lt;/p&gt;

&lt;p&gt;In men, the main contributors to educational difference in disability prevalence were arthritis (contribution to disability prevalence: 5.7% (95% CI 5.4–6.0) for low-educated vs. 3.3% (3.0–3.9) for high-educated men), spine disorders (back/neck pain, deformity) (3.8% (3.6–4.0) vs. 1.9% (1.8–2.1)), chronic obstructive pulmonary diseases (2.4% (2.3–2.6) vs. 0.6% (0.5–0.7)) and ischemic heart /peripheral artery diseases (4.1% (3.9–4.3) vs. 2.4% (2.2–3.0)). In women, arthritis (9.5% (9.1–9.9) vs. 4.5%, (4.1–5.2)), spine disorders (4.5% (4.3–4.7) vs. 2.1% 1.9–2.3) and psychiatric diseases (3.1% (3.0–3.3) vs. 1.1% (1.0–1.3)) contributed most to education gap in disability. The educational differences were equally explained by differences in the disease prevalence and in their disabling impact.&lt;/p&gt;

&lt;p&gt;Conclusions&lt;/p&gt;

&lt;p&gt;Public health policies aiming to reduce existing socioeconomic disparities in disability should focus on musculoskeletal, pulmonary, psychiatric and ischemic heart diseases, reducing their prevalence as well as their disabling impact in lower socioeconomic groups.&lt;/p&gt;
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