ArticleFrontiers in public health2024
The interplay of psychological resilience and adolescent mobile phone addiction in Henan province, China: insights from latent class analysis.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Physical activity, psychological resilience, and adolescent mobile phone addiction-a meta-analytic structural equation modeling study.Frontiers in psychology · 2026Pooled it
- A Vicious Cycle of Psychological Distress and Problematic Mobile Phone Use in Adolescence: A Longitudinal Test of a Dual Metacognitive Pathway.Journal of adolescence · 2026Article
- How mobile phone addiction leads to college students' learning burnout: the role of depression as a mediator and fear of missing out as a moderator.Frontiers in psychiatry · 2025Article
- Patterns of smartphone dependence and predictive factors in Chinese college freshmen: a latent profile analysis.Frontiers in psychology · 2025Article
- How Green Space Justice in urban built-up areas affects public mental health: a moderated chain mediation model.Frontiers in public health · 2024Article
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Authors and funding
8 authors.
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Abstract
Background: The aim of this study was to classify distinct subgroups of adolescents based on the severity levels of their mobile phone addiction and to investigate how these groups differed in terms of their psychosocial characteristics. We surveyed a total of 2,230 adolescents using three different questionnaires to assess the severity of their mobile phone addiction, stress, anxiety, depression, psychological resilience, and personality. Latent class analysis was employed to identify the subgroups, and we utilized Receiver Operating Characteristic (ROC) curves and multinomial logistic regression for statistical analysis. All data analyses were conducted using SPSS 26.0 and Mplus 8.5. Methods: We classified the subjects into subgroups based on their mobile phone addiction severity, and the results revealed a clear pattern with a three-class model based on the likelihood level of mobile phone addiction ( Results: The latent classification process in this research confirmed the existence of three distinct mobile phone user groups. We also examined the psychosocial characteristics that varied in relation to the severity levels of addiction. Conclusion: This study provides valuable insights into the categorization of adolescents based on the severity of mobile phone addiction and sheds light on the psychosocial characteristics associated with different addiction levels. These findings are expected to enhance our understanding of mobile phone addiction traits and stimulate further research in this area.
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