Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Sep 30, 2024
Date Accepted: Jul 31, 2025
Internet use, social participation, and depression symptoms among middle-aged and elderly Chinese before and during the COVID-19 pandemic: Evidence from the China Health and Retirement Longitudinal Study
ABSTRACT
Background:
While the relationship between Internet use and depression, and the mediating role of social participation in this association, has garnered significant attention, the COVID-19 pandemic has disrupted traditional forms of social participation. The extent to which this disruption has altered the association remains underexplored.
Objective:
This study aims to examine the impact of Internet use on depressive symptoms among middle-aged and older adults and to assess how the mediating role of social participation differs before and during the COVID-19 pandemic.
Methods:
Data for this study were sourced from the fourth wave (2018: 15,326 observations) and fifth wave (2020: 15,758 observations) of the China Health and Retirement Longitudinal Survey. A two-way fixed-effects model incorporating an instrumental variable was employed to investigate the relationship between internet use and depressive symptoms among middle-aged and older adults. Furthermore, a mediation effect model was applied following propensity score matching (PSM) to assess changes in the mediating role of social participation on the relationship between internet use and depressive symptoms before and during the pandemic, as well as to explore changes in three internet use functions. Subgroup analyses based on age and urban-rural residence were performed to assess heterogeneity in this association.
Results:
The prevalence of depression among middle-aged and older Chinese increased from 36.71% in 2018 to 37.53% in 2020. Internet use was negatively associated with depressive symptoms (β = -0.041, P < .01), with social participation serving as a partial mediator. The proportion of the mediating effect of social participation on the relationship between distinct internet use functions and depression shifted during the pandemic: the social function declined from 12.55% in 2018 to 9.30% in 2020, while the informational and recreational function increased from 7.53% and 11.29% in 2018 to 8.85% and 16.37% in 2020, respectively. Both the total and indirect effects were statistically significant across subgroups, with a higher mediation proportion observed among rural residents and females compared to their urban and male counterparts.
Conclusions:
Internet use was negatively associated with depressive symptoms among middle-aged and older adults. Despite a noticeable increase in depression scores in 2020 compared to 2018, the mediating effect of social participation diminished, while the direct effect of Internet use became more pronounced during the pandemic. These findings underscore the need to prioritize mental health recovery in this population, promote diverse forms of social participation, and leverage the Internet’s potential to enhance social participation and mental well-being.
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