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Social participation (SP) has been shown to have a favorable impact on health status, particularly among elders in developed countries. However, empirical study is scarce for China. This study explores the relation between social participation (SP) and health status among middle-aged adults and elders in China when controlled socioeconomic characteristics of individuals.

This paper employs an empirical study based on the data from a three-wave national longitudinal survey: the Chinese Health and Retirement Longitudinal Study (CHARLS) from 2011, 2013 to 2015. It collects data from 28,895 individuals aged 45–84. It uses lagged variable method (LV) to address the reverse causality problem, and the random-effects model or fixed-effect model to address the heterogeneity problem.

The paper finds the social participation positively affect self-reported health statistically. The influence of social participation on self-reported health flows through two channels: the improved mental health effect (SP-MH-SRH channel) and the increased income effect (SP-income-SRH channel). In comparison with the SAP-income-SRH channel, the influence of the SP-MH-SRH channel l is greater.

First, the absence of other measures of volunteering, such as hours of social participation that are not available in the employed dataset. Second, even though the LV model and FE model are used in the paper, there may remain the endogeneity problem in the results. Third, the influences of formal and informal social participation should be distinguished in the future research.

Social participation may improve the self-reported health status. The influence of SP on health may be due to the improved mental health effect (SP-MH-SRH channel). In order to improve the mental and physical health status of middle-aged adults and elders the government should consider even more promotion of social participation.

First, this paper focuses on the correlation between social participation and well-being (self-reported health) of middle-aged adults and elderly in China, the previous studies on the issue for China are scarce. Second, this paper uses the lagged variable method (LV) to address the reverse causal relation problem, and the fixed-effects model or the random-effects model to address the heterogeneity problem. Third, the two channels (the improved mental health effect and the increased income effect) are firstly investigated in this study.