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Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study

BACKGROUND: Although multimorbidity is a risk factor for disability, the relationship between the accumulative patterns of multimorbidity and disability remains poorly understood. The objective of this study was to identify the latent groups of multimorbidity trajectories among mid to older age adul...

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Autores principales: Shi, Zaixing, Zhang, Zeyun, Shi, Kanglin, Yu, Bohan, Jiang, Zhongquan, Yang, Li, Lin, Jianlin, Fang, Ya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469590/
https://www.ncbi.nlm.nih.gov/pubmed/36096760
http://dx.doi.org/10.1186/s12877-022-03421-9
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author Shi, Zaixing
Zhang, Zeyun
Shi, Kanglin
Yu, Bohan
Jiang, Zhongquan
Yang, Li
Lin, Jianlin
Fang, Ya
author_facet Shi, Zaixing
Zhang, Zeyun
Shi, Kanglin
Yu, Bohan
Jiang, Zhongquan
Yang, Li
Lin, Jianlin
Fang, Ya
author_sort Shi, Zaixing
collection PubMed
description BACKGROUND: Although multimorbidity is a risk factor for disability, the relationship between the accumulative patterns of multimorbidity and disability remains poorly understood. The objective of this study was to identify the latent groups of multimorbidity trajectories among mid to older age adults and to examine their associations with incident disability. METHODS: We included 5,548 participants aged ≥ 45 years who participated in the China Health and Retirement Longitudinal Study from 2011 to 2018 and had no multimorbidity (≥ 2 chronic conditions) at baseline. The group-based multi-trajectory modeling was used to identify distinct trajectory groups of multimorbidity based on the latent dimensions underlying 13 chronic conditions. The association between multimorbidity trajectories and incident disability was analyzed using the generalized estimating equation model adjusting for potential confounders. RESULTS: Of the 5,548 participants included in the current analysis, 2,407 (43.39%) developed multimorbidity during the follow-up. Among participants with new-onset multimorbidity, four trajectory groups were identified according to the combination of newly diagnosed diseases: “Cardiometabolic” (N = 821, 34.11%), “Digestive-arthritic” (N = 753, 31.28%), “Cardiometabolic/Brain” (N = 618, 25.68%), and “Respiratory” (N = 215, 8.93%). Compared to participants who did not develop multimorbidity, the risk of incident disability was most significantly increased in the “Cardiometabolic/Brain” trajectory group (OR = 2.05, 95% CI: 1.55–2.70), followed by the “Cardiometabolic” (OR = 1.96, 95% CI: 1.52 –2.53) and “Digestive-arthritic” (OR = 1.70, 95% CI: 1.31–2.20) trajectory groups. CONCLUSIONS: The growing burden of multimorbidity, especially the comorbid of cardiometabolic and brain diseases, may be associated with a significantly increased risk of disability for mid to older age adults. These findings improve our understanding of multimorbidity patterns that affect the independence of living and inform the development of strategies for the primary prevention of disability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03421-9.
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spelling pubmed-94695902022-09-14 Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study Shi, Zaixing Zhang, Zeyun Shi, Kanglin Yu, Bohan Jiang, Zhongquan Yang, Li Lin, Jianlin Fang, Ya BMC Geriatr Research BACKGROUND: Although multimorbidity is a risk factor for disability, the relationship between the accumulative patterns of multimorbidity and disability remains poorly understood. The objective of this study was to identify the latent groups of multimorbidity trajectories among mid to older age adults and to examine their associations with incident disability. METHODS: We included 5,548 participants aged ≥ 45 years who participated in the China Health and Retirement Longitudinal Study from 2011 to 2018 and had no multimorbidity (≥ 2 chronic conditions) at baseline. The group-based multi-trajectory modeling was used to identify distinct trajectory groups of multimorbidity based on the latent dimensions underlying 13 chronic conditions. The association between multimorbidity trajectories and incident disability was analyzed using the generalized estimating equation model adjusting for potential confounders. RESULTS: Of the 5,548 participants included in the current analysis, 2,407 (43.39%) developed multimorbidity during the follow-up. Among participants with new-onset multimorbidity, four trajectory groups were identified according to the combination of newly diagnosed diseases: “Cardiometabolic” (N = 821, 34.11%), “Digestive-arthritic” (N = 753, 31.28%), “Cardiometabolic/Brain” (N = 618, 25.68%), and “Respiratory” (N = 215, 8.93%). Compared to participants who did not develop multimorbidity, the risk of incident disability was most significantly increased in the “Cardiometabolic/Brain” trajectory group (OR = 2.05, 95% CI: 1.55–2.70), followed by the “Cardiometabolic” (OR = 1.96, 95% CI: 1.52 –2.53) and “Digestive-arthritic” (OR = 1.70, 95% CI: 1.31–2.20) trajectory groups. CONCLUSIONS: The growing burden of multimorbidity, especially the comorbid of cardiometabolic and brain diseases, may be associated with a significantly increased risk of disability for mid to older age adults. These findings improve our understanding of multimorbidity patterns that affect the independence of living and inform the development of strategies for the primary prevention of disability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03421-9. BioMed Central 2022-09-12 /pmc/articles/PMC9469590/ /pubmed/36096760 http://dx.doi.org/10.1186/s12877-022-03421-9 Text en © The Author(s) 2022 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
Shi, Zaixing
Zhang, Zeyun
Shi, Kanglin
Yu, Bohan
Jiang, Zhongquan
Yang, Li
Lin, Jianlin
Fang, Ya
Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study
title Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study
title_full Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study
title_fullStr Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study
title_full_unstemmed Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study
title_short Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study
title_sort association between multimorbidity trajectories and incident disability among mid to older age adults: china health and retirement longitudinal study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469590/
https://www.ncbi.nlm.nih.gov/pubmed/36096760
http://dx.doi.org/10.1186/s12877-022-03421-9
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