ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2026
[Effect of network literacy on depression levels among young adults: an analysis based on China Family Panel Studies].
Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesTo investigate the effect of network literacy on depression levels among young adults, and to provide a reference for understanding the relationship between internet use and mental health in this population.
methodsData from 28 312 young adults (aged 18-35) were extracted from the China Family Panel Studies (CFPS) 2014, 2018, 2020, and 2022. Depression level served as the dependent variable, network literacy (comprising network usage literacy and network awareness literacy) served as the independent variable, and multiple variables from basic demographic characteristics and socioeconomic characteristics were included as control variables. First, a panel data fixed-effects model was employed to assess the effect of network literacy on depression. Second, an instrumental variable set was constructed to address endogeneity. Finally, heterogeneity analyses were conducted to evaluate the differential effects of network literacy across subgroups.
resultsThe overall depression level of the sample was relatively low (the median values were mostly 0.167). Network awareness literacy was at a relatively high level (the median values were mostly 0.680), whereas network usage literacy was slightly lower (median ranging from 0.199 to 0.555). Baseline linear regression showed no significant effects for either type of network literacy on depression in young adults (both
conclusionsThe effect of network literacy on depression levels among young adults follows an inverted U-shaped trajectory. Females, individuals aged 25-35, and rural youth are more susceptible to changes in depression levels as their network literacy fluctuates.
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