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Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China
BACKGROUND: Functional disability and multimorbidity are common among older people. However, little is known about the relationship between functional disability and different multimorbidity combinations. We aimed to identify multimorbidity patterns and explore the associations between these pattern...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912511/ https://www.ncbi.nlm.nih.gov/pubmed/33639902 http://dx.doi.org/10.1186/s12889-021-10463-y |
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author | Wang, Zijing Peng, Wenjia Li, Mengying Li, Xinghui Yang, Tingting Li, Cancan Yan, Huosheng Jia, Xianjie Hu, Zhi Wang, Ying |
author_facet | Wang, Zijing Peng, Wenjia Li, Mengying Li, Xinghui Yang, Tingting Li, Cancan Yan, Huosheng Jia, Xianjie Hu, Zhi Wang, Ying |
author_sort | Wang, Zijing |
collection | PubMed |
description | BACKGROUND: Functional disability and multimorbidity are common among older people. However, little is known about the relationship between functional disability and different multimorbidity combinations. We aimed to identify multimorbidity patterns and explore the associations between these patterns and functional disability. METHODS: We investigated a multi-stage random sample of 1871 participants aged ≥60 years and covered by long-term care insurance in Shanghai, China. Multimorbidity was defined as the simultaneous presence of two or more chronic diseases in an individual. Participants completed scales to assess basic and instrumental activities of daily living (BADL and IADL, respectively). Multimorbidity patterns were identified via exploratory factor analysis. Binary logistic regression models were used to determine adjusted associations between functional disability and number and patterns of multimorbidity. RESULTS: Multimorbidity was present in 74.3% of participants. The prevalence of BADL disability was 50.7% and that of IADL disability was 90.7%. There was a strong association between multimorbidity and disability. We identified three multimorbidity patterns: musculoskeletal, cardio-metabolic, and mental-degenerative diseases. The cardio-metabolic disease pattern was associated with both BADL (OR 1.28, 95%CI 1.16–1.41) and IADL (OR 1.41, 95%CI 1.19–1.68) disability. The mental-degenerative disease pattern was associated with BADL disability (OR 1.55, 95%CI 1.40–1.72). CONCLUSIONS: Multimorbidity and functional disability are highly prevalent among older people covered by long-term care insurance in Shanghai, and distinct multimorbidity patterns are differentially associated with functional disability. Appropriate long-term healthcare and prevention strategies for older people may help reduce multimorbidity, maintain functional ability, and improve health-related quality of life. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10463-y. |
format | Online Article Text |
id | pubmed-7912511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79125112021-03-02 Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China Wang, Zijing Peng, Wenjia Li, Mengying Li, Xinghui Yang, Tingting Li, Cancan Yan, Huosheng Jia, Xianjie Hu, Zhi Wang, Ying BMC Public Health Research Article BACKGROUND: Functional disability and multimorbidity are common among older people. However, little is known about the relationship between functional disability and different multimorbidity combinations. We aimed to identify multimorbidity patterns and explore the associations between these patterns and functional disability. METHODS: We investigated a multi-stage random sample of 1871 participants aged ≥60 years and covered by long-term care insurance in Shanghai, China. Multimorbidity was defined as the simultaneous presence of two or more chronic diseases in an individual. Participants completed scales to assess basic and instrumental activities of daily living (BADL and IADL, respectively). Multimorbidity patterns were identified via exploratory factor analysis. Binary logistic regression models were used to determine adjusted associations between functional disability and number and patterns of multimorbidity. RESULTS: Multimorbidity was present in 74.3% of participants. The prevalence of BADL disability was 50.7% and that of IADL disability was 90.7%. There was a strong association between multimorbidity and disability. We identified three multimorbidity patterns: musculoskeletal, cardio-metabolic, and mental-degenerative diseases. The cardio-metabolic disease pattern was associated with both BADL (OR 1.28, 95%CI 1.16–1.41) and IADL (OR 1.41, 95%CI 1.19–1.68) disability. The mental-degenerative disease pattern was associated with BADL disability (OR 1.55, 95%CI 1.40–1.72). CONCLUSIONS: Multimorbidity and functional disability are highly prevalent among older people covered by long-term care insurance in Shanghai, and distinct multimorbidity patterns are differentially associated with functional disability. Appropriate long-term healthcare and prevention strategies for older people may help reduce multimorbidity, maintain functional ability, and improve health-related quality of life. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10463-y. BioMed Central 2021-02-27 /pmc/articles/PMC7912511/ /pubmed/33639902 http://dx.doi.org/10.1186/s12889-021-10463-y 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 Wang, Zijing Peng, Wenjia Li, Mengying Li, Xinghui Yang, Tingting Li, Cancan Yan, Huosheng Jia, Xianjie Hu, Zhi Wang, Ying Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China |
title | Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China |
title_full | Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China |
title_fullStr | Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China |
title_full_unstemmed | Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China |
title_short | Association between multimorbidity patterns and disability among older people covered by long-term care insurance in Shanghai, China |
title_sort | association between multimorbidity patterns and disability among older people covered by long-term care insurance in shanghai, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912511/ https://www.ncbi.nlm.nih.gov/pubmed/33639902 http://dx.doi.org/10.1186/s12889-021-10463-y |
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