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Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation
BACKGROUND: Previous research has found different multimorbidity patterns that negatively affects health outcomes of older adults. However, there is scarce evidence, especially on the role of social participation in the association between multimorbidity patterns and depression. Our study aimed to e...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045862/ https://www.ncbi.nlm.nih.gov/pubmed/36973699 http://dx.doi.org/10.1186/s12877-023-03868-4 |
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author | Ho, Hsin-En Yeh, Chih-Jung Cheng-Chung Wei, James Chu, Wei-Min Lee, Meng-Chih |
author_facet | Ho, Hsin-En Yeh, Chih-Jung Cheng-Chung Wei, James Chu, Wei-Min Lee, Meng-Chih |
author_sort | Ho, Hsin-En |
collection | PubMed |
description | BACKGROUND: Previous research has found different multimorbidity patterns that negatively affects health outcomes of older adults. However, there is scarce evidence, especially on the role of social participation in the association between multimorbidity patterns and depression. Our study aimed to explore the relationship between multimorbidity patterns and depression among older adults in Taiwan, including the social participation effect on the different multimorbidity patterns. METHODS: Data were retracted from the Taiwan longitudinal study on ageing (TLSA) for this population-based cohort study. 1,975 older adults (age > 50) were included and were followed up from 1996 to 2011. We used latent class analysis to determine participants’ multimorbidity patterns in 1996, whereas their incident depression was determined in 2011 by CES-D. Multivariable logistic regression was used to analyse the relationship between multimorbidity patterns and depression. RESULTS: The participants’ average age was 62.1 years in 1996. Four multimorbidity patterns were discovered through latent class analysis, as follows: (1) Cardiometabolic group (n = 93), (2) Arthritis-cataract group (n = 105), (3) Multimorbidity group (n = 128) and (4) Relatively healthy group (n = 1649). Greater risk of incident depression was found among participants in the Multimorbidity group (OR: 1.62; 95% CI: 1.02–2.58) than the Relatively healthy group after the multivariable analysis. Compare to participants in the relatively healthy group with social participation, participants in the arthritis-cataract group without social participation (OR: 2.22, 95% CI: 1.03–4.78) and the multimorbidity group without social participation (OR: 2.21, 95% CI: 1.14–4.30) had significantly increased risk of having depression. CONCLUSION: Distinct multimorbidity patterns among older adults in Taiwan are linked with the incident depression during later life, and social participation functioned as a protective factor. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03868-4. |
format | Online Article Text |
id | pubmed-10045862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100458622023-03-29 Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation Ho, Hsin-En Yeh, Chih-Jung Cheng-Chung Wei, James Chu, Wei-Min Lee, Meng-Chih BMC Geriatr Research BACKGROUND: Previous research has found different multimorbidity patterns that negatively affects health outcomes of older adults. However, there is scarce evidence, especially on the role of social participation in the association between multimorbidity patterns and depression. Our study aimed to explore the relationship between multimorbidity patterns and depression among older adults in Taiwan, including the social participation effect on the different multimorbidity patterns. METHODS: Data were retracted from the Taiwan longitudinal study on ageing (TLSA) for this population-based cohort study. 1,975 older adults (age > 50) were included and were followed up from 1996 to 2011. We used latent class analysis to determine participants’ multimorbidity patterns in 1996, whereas their incident depression was determined in 2011 by CES-D. Multivariable logistic regression was used to analyse the relationship between multimorbidity patterns and depression. RESULTS: The participants’ average age was 62.1 years in 1996. Four multimorbidity patterns were discovered through latent class analysis, as follows: (1) Cardiometabolic group (n = 93), (2) Arthritis-cataract group (n = 105), (3) Multimorbidity group (n = 128) and (4) Relatively healthy group (n = 1649). Greater risk of incident depression was found among participants in the Multimorbidity group (OR: 1.62; 95% CI: 1.02–2.58) than the Relatively healthy group after the multivariable analysis. Compare to participants in the relatively healthy group with social participation, participants in the arthritis-cataract group without social participation (OR: 2.22, 95% CI: 1.03–4.78) and the multimorbidity group without social participation (OR: 2.21, 95% CI: 1.14–4.30) had significantly increased risk of having depression. CONCLUSION: Distinct multimorbidity patterns among older adults in Taiwan are linked with the incident depression during later life, and social participation functioned as a protective factor. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03868-4. BioMed Central 2023-03-27 /pmc/articles/PMC10045862/ /pubmed/36973699 http://dx.doi.org/10.1186/s12877-023-03868-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Ho, Hsin-En Yeh, Chih-Jung Cheng-Chung Wei, James Chu, Wei-Min Lee, Meng-Chih Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation |
title | Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation |
title_full | Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation |
title_fullStr | Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation |
title_full_unstemmed | Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation |
title_short | Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation |
title_sort | association between multimorbidity patterns and incident depression among older adults in taiwan: the role of social participation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045862/ https://www.ncbi.nlm.nih.gov/pubmed/36973699 http://dx.doi.org/10.1186/s12877-023-03868-4 |
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