Evidence map›Paper›PMID 36899336›Full record

ArticleBMC public health2023

The correlation analysis of WeChat usage and depression among the middle-aged and elderly in China: the mediating role of social participation.

Gaoling Wang, Jing Duan, Qianqian Kan, Yuqin Zhou, Zhaopeng Cheng, Shaoliang Tang

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Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

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15citing papers in PubMed, 1 pooled it
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15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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5 · Who and what money

Authors and funding

6 authors.

Gaoling Wang *School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Jing Duan *School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Qianqian KanSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Yuqin ZhouSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Zhaopeng ChengSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Shaoliang TangSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China. 280098@njucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to explore the association between WeChat usage and depression in the Chinese middle-aged and elderly and the role of social participation.

methodsData were obtained from China Health and Retirement Longitudinal Study (CHARLS) of 2018. The dependent variable was depressive symptoms, measured with the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10). We used the propensity score matching (PSM) to match the WeChat users with the non-WeChat users. Correlations between WeChat usage and depressive symptoms were verified by using logistic regression and linear regression, and the mediating role of social participation was verified by using stepwise regression and KHB method.

resultsFour thousand five hundred forty-five samples were ultimately matched for analysis in this study. After including all control variables, results of logistic regression showed that WeChat usage was significantly associated with a lower prevalence of depression (aOR:0.701,95% CI: 0.605-0.812). And the results of linear regression showed that WeChat usage was associated with lower levels of depression which was significant (p < 0.001). The results of the stepwise regression and the KHB method showed a mediating role of social participation in WeChat usage and depressive symptoms. Among the four types of social participation, the mediating effect of recreational activities was significant, while the mediating effects of voluntary activities, cultural activities, and other activities were not significant. Meanwhile, the effect of WeChat usage on depression and the mediating effect of social participation were heterogeneous because of differences in age and gender.

conclusionSocial participation partly mediated the effect between WeChat usage and depression in middle-aged and older adults. Among the four types of social participation, only recreational activities had a mediating effect. Encouraging more active social participation and other types of social activities should be considered to improve the mental health of the middle-aged and older adults in China through social media usage.

Indexed as

DepressionSocial ParticipationAgedChinaHumansLongitudinal StudiesMiddle AgedRetirementDepressive symptomsSocial participationThe middle-aged and elderlyWeChat usage

Identifiers

PMID36899336
PMCPMC9999613

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