Assessing the Impact of Internet Skills on Depressive Symptoms Among Chinese Middle-Aged and Older Adults: Cross-Sectional Instrumental Variables Analysis

Autor: Aruhan Mu, Zhiyong Liu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: JMIR Aging, Vol 7, Pp e50880-e50880 (2024)
Druh dokumentu: article
ISSN: 2561-7605
DOI: 10.2196/50880
Popis: Abstract BackgroundThe potential benefits of IT for the well-being of older adults have been widely anticipated. However, findings regarding the impact of internet use on depressive symptoms are inconsistent. As a result of IT’s exponential growth, internet skills have supplanted internet access as the source of the digital divide. ObjectiveThis study evaluates the effect of internet skills on depressive symptoms through an instrumental variables (IV) approach. MethodsData from the China Health and Retirement Longitudinal Study’s wave 4 (2018) were used. This included 16,949 community residents aged 45 years and older. To overcome the endogeneity issue, we used an IV approach. ResultsOur results reveal the emergence of a second-level digital divide, the disparity in internet skills, among Chinese middle-aged and older adults. Liner regression suggests that a 1% increase in internet skills is associated with a 0.037% decrease in depressive symptoms (β=−.037, SE 0.009), which underestimates the causal effect. As expected, internet skills are an endogenous variable (FPF–1P ConclusionsBetter mental health is predicted through improved and higher internet skills. Consequently, residents and policy makers in China should focus on bridging the digital divide in internet skills among middle-aged and older adults.
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