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The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis

BACKGROUND: The co-occurrence of mental and physical chronic conditions (mental-physical multimorbidity) is a growing and largely unaddressed challenge for health systems and wider economies in low-and middle-income countries. This study investigated the independent and combined (additive or synergi...

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Autores principales: Pan, Tianxin, Mercer, Stewart W., Zhao, Yang, McPake, Barbara, Desloge, Allissa, Atun, Rifat, Hulse, Emily Susannah Grace, Lee, John Tayu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890601/
https://www.ncbi.nlm.nih.gov/pubmed/33602174
http://dx.doi.org/10.1186/s12889-021-10414-7
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author Pan, Tianxin
Mercer, Stewart W.
Zhao, Yang
McPake, Barbara
Desloge, Allissa
Atun, Rifat
Hulse, Emily Susannah Grace
Lee, John Tayu
author_facet Pan, Tianxin
Mercer, Stewart W.
Zhao, Yang
McPake, Barbara
Desloge, Allissa
Atun, Rifat
Hulse, Emily Susannah Grace
Lee, John Tayu
author_sort Pan, Tianxin
collection PubMed
description BACKGROUND: The co-occurrence of mental and physical chronic conditions (mental-physical multimorbidity) is a growing and largely unaddressed challenge for health systems and wider economies in low-and middle-income countries. This study investigated the independent and combined (additive or synergistic) effects of mental and physical chronic conditions on disability, work productivity, and social participation in China. METHODS: Panel data study design utilised two waves of the China Health and Retirement Longitudinal Study (2011, 2015), including 5616 participants aged ≥45 years, 12 physical chronic conditions and depression. We used a panel data approach of random-effects regression models to assess the relationships between mental-physical multimorbidity and outcomes. RESULTS: After adjusting for socio-economic and demographic factors, an increased number of physical chronic conditions was independently associated with a higher likelihood of disability (Adjusted odds ratio (AOR) = 1.39; 95% CI: 1.33, 1.45), early retirement (AOR = 1.37 [1.26, 1.49]) and increased sick leave days (1.25 days [1.16, 1.35]). Depression was independently associated with disability (AOR = 3.78 [3.30, 4.34]), increased sick leave days (2.18 days [1.72, 2.77]) and a lower likelihood of social participation (AOR = 0.57 [0.47, 0.70]), but not with early retirement (AOR = 1.24 [0.97, 1.58]). There were small and statistically insignificant interactions between physical chronic conditions and mental health on disability, work productivity and social participation, suggesting an additive effect of mental-physical multimorbidity on productivity loss. CONCLUSION: Mental-physical multimorbidity poses substantial negative health and economic effects on individuals, health systems, and societies. More research that addresses the challenges of mental-physical multimorbidity is needed to inform the development of interventions that can be applied to the workplace and the wider community in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10414-7.
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spelling pubmed-78906012021-02-22 The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis Pan, Tianxin Mercer, Stewart W. Zhao, Yang McPake, Barbara Desloge, Allissa Atun, Rifat Hulse, Emily Susannah Grace Lee, John Tayu BMC Public Health Research Article BACKGROUND: The co-occurrence of mental and physical chronic conditions (mental-physical multimorbidity) is a growing and largely unaddressed challenge for health systems and wider economies in low-and middle-income countries. This study investigated the independent and combined (additive or synergistic) effects of mental and physical chronic conditions on disability, work productivity, and social participation in China. METHODS: Panel data study design utilised two waves of the China Health and Retirement Longitudinal Study (2011, 2015), including 5616 participants aged ≥45 years, 12 physical chronic conditions and depression. We used a panel data approach of random-effects regression models to assess the relationships between mental-physical multimorbidity and outcomes. RESULTS: After adjusting for socio-economic and demographic factors, an increased number of physical chronic conditions was independently associated with a higher likelihood of disability (Adjusted odds ratio (AOR) = 1.39; 95% CI: 1.33, 1.45), early retirement (AOR = 1.37 [1.26, 1.49]) and increased sick leave days (1.25 days [1.16, 1.35]). Depression was independently associated with disability (AOR = 3.78 [3.30, 4.34]), increased sick leave days (2.18 days [1.72, 2.77]) and a lower likelihood of social participation (AOR = 0.57 [0.47, 0.70]), but not with early retirement (AOR = 1.24 [0.97, 1.58]). There were small and statistically insignificant interactions between physical chronic conditions and mental health on disability, work productivity and social participation, suggesting an additive effect of mental-physical multimorbidity on productivity loss. CONCLUSION: Mental-physical multimorbidity poses substantial negative health and economic effects on individuals, health systems, and societies. More research that addresses the challenges of mental-physical multimorbidity is needed to inform the development of interventions that can be applied to the workplace and the wider community in China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10414-7. BioMed Central 2021-02-18 /pmc/articles/PMC7890601/ /pubmed/33602174 http://dx.doi.org/10.1186/s12889-021-10414-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Pan, Tianxin
Mercer, Stewart W.
Zhao, Yang
McPake, Barbara
Desloge, Allissa
Atun, Rifat
Hulse, Emily Susannah Grace
Lee, John Tayu
The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis
title The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis
title_full The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis
title_fullStr The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis
title_full_unstemmed The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis
title_short The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis
title_sort association between mental-physical multimorbidity and disability, work productivity, and social participation in china: a panel data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890601/
https://www.ncbi.nlm.nih.gov/pubmed/33602174
http://dx.doi.org/10.1186/s12889-021-10414-7
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