Key points are not available for this paper at this time.
Objective: This study was conducted to explore the sex differences in the direct and indirect associations among mental health/suicidality, sleep, and screen time. Methods: Using the 2021 Youth Risk Behavior Survey (YRBS) data, 9408 participants were included in the analyses. The associations of endogenous variables (mental health and suicidality), exogenous variable (screen time), mediator (sleep), and covariates (demographic features and risky behaviors) were analyzed using the Structural Equation Model and “medsem” package, as well as logistic regression and bootstrapping methods. To explore the sex differences in the mediation effect, the Likelihood Ratio Test was used for the multiple-group analysis to compare the unconstrained model with the mediation path-constrained model. Results: Screen time had a significant negative association with sleep duration (female: β = −.09, p < .001; male: β = −.04, p < .001), positive relations to mental health problems (female: β = .10, p < .001; male: β = .12; p < .001), and suicidality (female: OR: 1.07, 95% CI: 1.02–1.13; male: OR: 1.06, 95% CI: 1.01–1.23). Sleep duration is negatively associated with mental health problems (female: β = −.16, p < .001; male: β = −.14; p < .001) and negatively associated with the likelihood of suicidality (female: .89, 95% CI: .85–.94; male: OR: .84, 95% CI: .79–.90). Furthermore, female adolescents had higher frequencies in mental health problems, higher odds ratio in suicidality, shorter sleep duration, and bigger mediation effects of sleep, compared to their male counterparts. Conclusion: Mental health and suicidality were affected differently by screen time and sleep between female and male adolescents. Future research may continue to explore sex differences and their underlying reasons.
Feng et al. (Sat,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: