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Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey

BACKGROUND: 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. METHODS: Data of...

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Autores principales: Palazzo, Clémence, Yokota, Renata T. C., Tafforeau, Jean, Ravaud, Jean-François, Cambois, Emmanuelle, Poiraudeau, Serge, Van Oyen, Herman, Nusselder, Wilma J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330417/
https://www.ncbi.nlm.nih.gov/pubmed/30651987
http://dx.doi.org/10.1186/s13690-018-0326-9
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author Palazzo, Clémence
Yokota, Renata T. C.
Tafforeau, Jean
Ravaud, Jean-François
Cambois, Emmanuelle
Poiraudeau, Serge
Van Oyen, Herman
Nusselder, Wilma J.
author_facet Palazzo, Clémence
Yokota, Renata T. C.
Tafforeau, Jean
Ravaud, Jean-François
Cambois, Emmanuelle
Poiraudeau, Serge
Van Oyen, Herman
Nusselder, Wilma J.
author_sort Palazzo, Clémence
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13690-018-0326-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-63304172019-01-16 Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey Palazzo, Clémence Yokota, Renata T. C. Tafforeau, Jean Ravaud, Jean-François Cambois, Emmanuelle Poiraudeau, Serge Van Oyen, Herman Nusselder, Wilma J. Arch Public Health Research BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13690-018-0326-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-11 /pmc/articles/PMC6330417/ /pubmed/30651987 http://dx.doi.org/10.1186/s13690-018-0326-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Palazzo, Clémence
Yokota, Renata T. C.
Tafforeau, Jean
Ravaud, Jean-François
Cambois, Emmanuelle
Poiraudeau, Serge
Van Oyen, Herman
Nusselder, Wilma J.
Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey
title Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey
title_full Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey
title_fullStr Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey
title_full_unstemmed Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey
title_short Contribution of chronic diseases to educational disparity in disability in France: results from the cross-sectional “disability-health” survey
title_sort contribution of chronic diseases to educational disparity in disability in france: results from the cross-sectional “disability-health” survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330417/
https://www.ncbi.nlm.nih.gov/pubmed/30651987
http://dx.doi.org/10.1186/s13690-018-0326-9
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