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Structured Time Allocation of Social Participation and Mental Health Inequality in Later Life

Sun, August 9, 8:00 to 9:30am, TBA

Abstract

As population aging accelerates, mental health inequality and interventions such as social participation have become a central concern for older adults. However, this study addresses a key barrier to social participation: its potential time-use costs and individuals’ available time for participation. Using four waves (2011–2018) of nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS), we identify five distinct time-use patterns through clustering analysis: Low-Participation, Social Activity–Focused, Market Work–Focused, Self-Employed Agricultural Work–Focused, and Grandchild Care–Focused. Fixed-effects models are then applied to estimate how both activity involvement and overall time-use patterns are associated with depressive symptoms, and we examine heterogeneity by gender, urban–rural status, and education. Results indicate that the Social Activity–Focused pattern exhibits the strongest buffering association with depressive symptoms, particularly compared with both the Low-Participation and Self-Employed Agricultural Work–Focused patterns; Market Work–Focused and Grandchild Care–Focused patterns show more limited protection. Moreover, participation time-use patterns are socially stratified, and the mental health returns to productive participation regimes are not universally available. Together, these findings suggest that social stratification may shape both individuals’ access to time for various social participation regimes and the extent to which participation translates into psychological benefit, helping explain why participation’s benefits may not automatically reduce late-life mental health inequality.

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