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Association between changes in social capital and mental well-being among older people in China

BACKGROUND: The mental well-being of older people has become social concern under aging times in China. Social capital has been linked to mental well-being. Our aims were to explore how social capital and the state of mental well-being of older people were changing and what the relationship between...

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Autores principales: Wang, Huihui, Zhang, Jingni, Yu, Zhenfan, Hu, Naifan, Du, Yurun, He, Xiaoxue, Pan, Degong, Pu, Lining, Zhang, Xue, Li, Jiangping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420402/
https://www.ncbi.nlm.nih.gov/pubmed/36042863
http://dx.doi.org/10.7717/peerj.13938
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author Wang, Huihui
Zhang, Jingni
Yu, Zhenfan
Hu, Naifan
Du, Yurun
He, Xiaoxue
Pan, Degong
Pu, Lining
Zhang, Xue
Li, Jiangping
author_facet Wang, Huihui
Zhang, Jingni
Yu, Zhenfan
Hu, Naifan
Du, Yurun
He, Xiaoxue
Pan, Degong
Pu, Lining
Zhang, Xue
Li, Jiangping
author_sort Wang, Huihui
collection PubMed
description BACKGROUND: The mental well-being of older people has become social concern under aging times in China. Social capital has been linked to mental well-being. Our aims were to explore how social capital and the state of mental well-being of older people were changing and what the relationship between them was. METHODS: Data were from six waves of the China Family Panel Studies that were conducted between 2010 and 2020, and a total of 1,055 participants aged 60 and over were included in the analysis. The Generalized Estimated Equation model (GEE) was used to clarify the long-term relationship, and to use GEE we first defined how time points were related, in other words, an appropriate working correlation structure was supposed to choose. Therefore, correlation coefficient between measurements at two time points was calculated to choose the exchange structure. All the analyses were performed in the statistical software Stata 15.0. RESULTS: The mental well-being of older people has deteriorated over time, especially we found that between 2014 and 2016, the mental well-being of older people plummeted. In addition, cognitive social capital was positively correlated with mental well-being, while structural social capital was inverse. CONCLUSIONS: Policymakers are supposed to take into account the long-term impact of cognitive and structural social capital on the mental well-being of older people and to provide them with projects aimed at increasing cognitive social capital and turning the pressure of structural social capital into a source of happiness in life.
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spelling pubmed-94204022022-08-29 Association between changes in social capital and mental well-being among older people in China Wang, Huihui Zhang, Jingni Yu, Zhenfan Hu, Naifan Du, Yurun He, Xiaoxue Pan, Degong Pu, Lining Zhang, Xue Li, Jiangping PeerJ Epidemiology BACKGROUND: The mental well-being of older people has become social concern under aging times in China. Social capital has been linked to mental well-being. Our aims were to explore how social capital and the state of mental well-being of older people were changing and what the relationship between them was. METHODS: Data were from six waves of the China Family Panel Studies that were conducted between 2010 and 2020, and a total of 1,055 participants aged 60 and over were included in the analysis. The Generalized Estimated Equation model (GEE) was used to clarify the long-term relationship, and to use GEE we first defined how time points were related, in other words, an appropriate working correlation structure was supposed to choose. Therefore, correlation coefficient between measurements at two time points was calculated to choose the exchange structure. All the analyses were performed in the statistical software Stata 15.0. RESULTS: The mental well-being of older people has deteriorated over time, especially we found that between 2014 and 2016, the mental well-being of older people plummeted. In addition, cognitive social capital was positively correlated with mental well-being, while structural social capital was inverse. CONCLUSIONS: Policymakers are supposed to take into account the long-term impact of cognitive and structural social capital on the mental well-being of older people and to provide them with projects aimed at increasing cognitive social capital and turning the pressure of structural social capital into a source of happiness in life. PeerJ Inc. 2022-08-25 /pmc/articles/PMC9420402/ /pubmed/36042863 http://dx.doi.org/10.7717/peerj.13938 Text en ©2022 Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Epidemiology
Wang, Huihui
Zhang, Jingni
Yu, Zhenfan
Hu, Naifan
Du, Yurun
He, Xiaoxue
Pan, Degong
Pu, Lining
Zhang, Xue
Li, Jiangping
Association between changes in social capital and mental well-being among older people in China
title Association between changes in social capital and mental well-being among older people in China
title_full Association between changes in social capital and mental well-being among older people in China
title_fullStr Association between changes in social capital and mental well-being among older people in China
title_full_unstemmed Association between changes in social capital and mental well-being among older people in China
title_short Association between changes in social capital and mental well-being among older people in China
title_sort association between changes in social capital and mental well-being among older people in china
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420402/
https://www.ncbi.nlm.nih.gov/pubmed/36042863
http://dx.doi.org/10.7717/peerj.13938
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