ArticleJournal of behavioral addictions2024
What makes children aged 10 to 13 engage in problematic smartphone use? A longitudinal study of changing patterns considering individual, parental, and school factors.
Article in Journal of behavioral addictions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The Relationship Between Physical Activity and Mobile Phone Addiction Among Adolescents: A Cross-Lagged Study.Behavioral sciences (Basel, Switzerland) · 2026Article
- Developmental Trajectories of Problematic Gaming among Chinese Migrant Children: Predictors and School Adjustment Outcomes.Journal of youth and adolescence · 2026Article
- Mental Health Correlates of Problematic Smartphone Use Among Multicultural Adolescents: The Findings From a National Survey in South Korea.Psychiatry investigation · 2026Article
- From neurobiological regulation to socio-ecological remodeling: a mini review of yoga interventions for adolescent smartphone addiction.Frontiers in psychology · 2026Review
- Exploring the trajectories of problematic smartphone use in adolescence: Insights from a longitudinal study.The British journal of developmental psychology · 2025Article
- Trajectory of internet gaming disorder among Chinese adolescents: Course, predictors, and long-term mental health outcomes.Journal of behavioral addictions · 2025Article
- Effects of Parents' Smartphone Use on Children's Emotions, Behavior, and Subjective Well-Being.European journal of investigation in health, psychology and education · 2025Article
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Abstract
Background and aims: The current research aimed to discover classification concerning problematic smartphone use in children. Furthermore, to investigate their longitudinal trajectories, as well as to discover the connection concerning problematic smartphone usage by individual, parental, and school factors. Methods: A total of 2,399 South Korean children who were in the 4th grade (female 1,206 (50.3%), age 10-13 years) at baseline. Latent class growth analysis was utilized to discover typologies in problematic smartphone use and their longitudinal trajectories. Multinomial logistic regression analysis was used to find various associations among problematic smartphone use and individual, parental, as well as school factors. Results: The results identified three distinct trajectories of problematic smartphone use: (1) a high-level group (7.7%), (2) a mid-increasing group (62.5%), and (3) a low-increasing group (29.8%). The increasing group showed the highest level of problematic smartphone use. Gender, self-esteem, social withdrawal, exercise, parental inconsistency, monthly income, and teacher support were significant predictors. Discussion and Conclusions: The findings suggest that there are distinct developmental trajectories concerning problematic smartphone usage of childhood. The results show that the early discovery of children in danger of problematic smartphone use and targeted interventions aimed at reducing parental inconsistency and social withdrawal, improving self-esteem, exercise, and teacher support may be effective strategies for preventing problematic smartphone usage during childhood.
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