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Impact of Social Participation Types on Depression in the Elderly in China: An Analysis Based on Counterfactual Causal Inference

OBJECTIVES: Depression is the leading cause of ill health and disability worldwide, and has become one of the key issues in the public health sector. Social participation is one of the most important measures to support the rapidly aging population and can reduce the risk of depression in the elderl...

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Autores principales: Wang, Xiaofeng, Guo, Jiamin, Liu, Huawei, Zhao, Tengteng, Li, Hu, Wang, Tan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010741/
https://www.ncbi.nlm.nih.gov/pubmed/35433576
http://dx.doi.org/10.3389/fpubh.2022.792765
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author Wang, Xiaofeng
Guo, Jiamin
Liu, Huawei
Zhao, Tengteng
Li, Hu
Wang, Tan
author_facet Wang, Xiaofeng
Guo, Jiamin
Liu, Huawei
Zhao, Tengteng
Li, Hu
Wang, Tan
author_sort Wang, Xiaofeng
collection PubMed
description OBJECTIVES: Depression is the leading cause of ill health and disability worldwide, and has become one of the key issues in the public health sector. Social participation is one of the most important measures to support the rapidly aging population and can reduce the risk of depression in the elderly. This study aims to explore the causal relationship between different types of social participation and depression in the elderly, and reduce the level of depression in the elderly by promoting social participation. METHODS: In order to accurately evaluate the causal relationship between participation in different types of social activities and depression in the elderly, this paper uses propensity score matching (PSM) for analysis based on counterfactual framework. The specific matching methods used are: k-nearest neighbor matching method, kernel matching method and radius matching method. RESULTS: In this study, 31.4% of the elderly have depression, and the proportion of female elderly is significantly higher. Participation in different social activities has different effects on depression in the elderly. Taking into account sample selection bias, participation in friend-making, exercise, and recreational activities can effectively reduce the risk of depression in the elderly. Compared with other social activities, participation in exercise and recreational activities are more helpful to reduce the risk of depression in the elderly. Participating in exercise activities only reduces the risk of depression in 60–69-year-olds, while participating in economic activities increases the risk of depression in the elderly aged 70 and over. Compared with the male elderly, participation in friend-making, exercise, and recreational activities results in the female elderly having stronger resistance to the risk of depression. CONCLUSIONS: Depression was prevalent among the elderly. Through PSM analysis, different types of social participation have different effects on depression in the elderly. In order to maximize the positive effects of different types of social participation on depression in the elderly, it is necessary to provide differentiated social support environment for the elderly. Expanding the research on the relationship between social participation and depression of the elderly will help to formulate more reasonable public health policies and improve the mental health of the elderly.
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spelling pubmed-90107412022-04-16 Impact of Social Participation Types on Depression in the Elderly in China: An Analysis Based on Counterfactual Causal Inference Wang, Xiaofeng Guo, Jiamin Liu, Huawei Zhao, Tengteng Li, Hu Wang, Tan Front Public Health Public Health OBJECTIVES: Depression is the leading cause of ill health and disability worldwide, and has become one of the key issues in the public health sector. Social participation is one of the most important measures to support the rapidly aging population and can reduce the risk of depression in the elderly. This study aims to explore the causal relationship between different types of social participation and depression in the elderly, and reduce the level of depression in the elderly by promoting social participation. METHODS: In order to accurately evaluate the causal relationship between participation in different types of social activities and depression in the elderly, this paper uses propensity score matching (PSM) for analysis based on counterfactual framework. The specific matching methods used are: k-nearest neighbor matching method, kernel matching method and radius matching method. RESULTS: In this study, 31.4% of the elderly have depression, and the proportion of female elderly is significantly higher. Participation in different social activities has different effects on depression in the elderly. Taking into account sample selection bias, participation in friend-making, exercise, and recreational activities can effectively reduce the risk of depression in the elderly. Compared with other social activities, participation in exercise and recreational activities are more helpful to reduce the risk of depression in the elderly. Participating in exercise activities only reduces the risk of depression in 60–69-year-olds, while participating in economic activities increases the risk of depression in the elderly aged 70 and over. Compared with the male elderly, participation in friend-making, exercise, and recreational activities results in the female elderly having stronger resistance to the risk of depression. CONCLUSIONS: Depression was prevalent among the elderly. Through PSM analysis, different types of social participation have different effects on depression in the elderly. In order to maximize the positive effects of different types of social participation on depression in the elderly, it is necessary to provide differentiated social support environment for the elderly. Expanding the research on the relationship between social participation and depression of the elderly will help to formulate more reasonable public health policies and improve the mental health of the elderly. Frontiers Media S.A. 2022-04-01 /pmc/articles/PMC9010741/ /pubmed/35433576 http://dx.doi.org/10.3389/fpubh.2022.792765 Text en Copyright © 2022 Wang, Guo, Liu, Zhao, Li and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wang, Xiaofeng
Guo, Jiamin
Liu, Huawei
Zhao, Tengteng
Li, Hu
Wang, Tan
Impact of Social Participation Types on Depression in the Elderly in China: An Analysis Based on Counterfactual Causal Inference
title Impact of Social Participation Types on Depression in the Elderly in China: An Analysis Based on Counterfactual Causal Inference
title_full Impact of Social Participation Types on Depression in the Elderly in China: An Analysis Based on Counterfactual Causal Inference
title_fullStr Impact of Social Participation Types on Depression in the Elderly in China: An Analysis Based on Counterfactual Causal Inference
title_full_unstemmed Impact of Social Participation Types on Depression in the Elderly in China: An Analysis Based on Counterfactual Causal Inference
title_short Impact of Social Participation Types on Depression in the Elderly in China: An Analysis Based on Counterfactual Causal Inference
title_sort impact of social participation types on depression in the elderly in china: an analysis based on counterfactual causal inference
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010741/
https://www.ncbi.nlm.nih.gov/pubmed/35433576
http://dx.doi.org/10.3389/fpubh.2022.792765
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