ArticleFrontiers in psychiatry2024
Combined effect of the smartphone addiction and physical activity on the depressive symptoms in secondary school students: a cross sectional study in Shanghai, China.
Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Clustering of Unhealthy Diets, Inflammation Levels, and Depressive Symptoms in Chinese Adolescents: A Longitudinal Study.Nutrients · 2026Article
- Prediction of Smartphone Addiction Among Korean Adolescents Based on Physical Activity and Mental Health: A Machine Learning Analysis Using LASSO and SHAP From the Korea Youth Risk Behavior Survey.Alpha psychiatry · 2026Article
- The mediating effect of depression and eating behaviours on the relationship between smartphone addiction and obesity in adolescents.BMC psychology · 2026Article
- Directional Relations Between Symptoms of Adolescent Smartphone Addiction, Academic Burnout, and Psychological Distress: A Cross-Lagged Panel Network Analysis.Psychology research and behavior management · 2026Article
- Smartphone usage in young adults: cross-sectional associations with physical activity, sleep, social isolation, academic achievement, and anxiety.Frontiers in psychiatry · 2025Article
- Longitudinal association of breakfast and midnight snacks with depressive symptoms in China multi-ethnic adolescents.Frontiers in psychiatry · 2025Article
- Negative life events and problematic smartphone use among university students: the mediating role of self-efficacy and the moderating role of physical activity.Frontiers in public health · 2025Article
- The impact of smartphone addiction on creativity among college students: a moderated mediation model of negative emotion and perceived social support.Frontiers in psychiatry · 2025Article
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Authors and funding
9 authors.
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Abstract
Objective: This study aims to investigate the prevalence of smartphone addiction, physical activity levels, and depressive symptoms among secondary school students, and to analyze the combined impact of smartphone addiction and physical activity on depressive symptoms. Methods: A cluster sampling method was employed in two secondary schools in the Jing'an District of Shanghai, China. Univariate analysis was used to compare the prevalence of depressive symptoms across different demographic characteristics. Logistic regression was utilized to examine the associations between smartphone addiction, physical activity, and their combined effect on depressive symptoms. Results: A total of 1,316 respondents participated in the study, with reported prevalence rates of depressive symptoms (36.2%), smartphone addiction (19.2%), and insufficient physical activity (23.3%). Risk factors for depressive symptoms included being a non-only child (OR=1.421, 95% CI: 1.090-1.853, P=0.009), inadequate sleep duration (OR=2.722, 95% CI: 2.070-3.578, P<0.001) and smartphone addiction (OR=2.173, 95% CI: 1.621-2.913, P < 0.001). Adolescents with smartphone addiction were significantly more likely to report depressive symptoms compared to those without (OR=2.173, 95% CI: 1.621-2.913, P < 0.001). Joint analysis indicated that combined smartphone addiction and insufficient physical activity significantly increased the risk of depressive symptoms (OR=2.781, 95% CI: 1.627-4.753, P < 0.001). Conclusion: The study identified a high prevalence of severe smartphone addiction, insufficient physical activity, and elevated rates of depressive symptoms among secondary school students. Smartphone addiction and inadequate physical activity were associated with increased likelihood of depressive symptoms. Moreover, higher levels of physical activity appeared to mitigate the adverse impact of smartphone addiction on depressive symptoms.
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