Background: Health is an important topic for everyone and essential to high-quality economic and social development. Recently, some researchers have suggested that older adults' internet use may have a health effect.
Objective: This study specifically aims to clarify the relationship between internet use and the mental health of older adults, for which other surveys present contradictory results.
Methods: Data were obtained from the China Longitudinal Aging Social Survey conducted in 2018. A total of 6648 participants were included. Mental health was assessed by the 12-item Center for Epidemiological Studies Depression Scale. Ordinary least squares regression was adopted to explore the relationship between internet use (independent variable) and the mental health of older adults. Robustness analysis, sensitivity analysis, and heterogeneity analysis were conducted in detail to verify the empirical result. A mediating effect analysis was further conducted to discover the effect mechanism between the dependent and independent variables.
Results: It was found that internet use and smartphone use can significantly improve the mental health of older adults (ordinary least squares, β=.075; P<.001). After endogenous and robustness tests were conducted, the aforementioned conclusion remained robust. In particular, participation in voluntary activities played a mediating role in the relationship between internet use and the mental health of older adults. In addition, younger subjective age enhanced the positive effect of internet use on the mental health of older adults.
Conclusions: Internet users showed higher levels of mental health among Chinese older adults. To improve the mental health of older adults, the government should not only cultivate the ability to use the internet but also encourage greater participation in voluntary activities among older adults.
Keywords: influence mechanism; internet use; mental health; mobile phone; older adults; participation in voluntary activities; subjective age.
©Weichao Chen, Mengjun Ding, Xiaoyan Wang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 19.12.2023.