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
Anxiety and smartphone usage time were consistently dominant predictors. Physical activity variables contributed in some models but showed inconsistent importance. These findings highlight the central role of mental health, with behavioral factors playing a secondary, model-specific role.
Authors
- Wonho Seo
- Young Hoon Jung (ORCID: https://orcid.org/0000-0002-4643-8839)
- KK Lee (ORCID: https://orcid.org/0000-0002-6520-304X)
Institutions
- New Generation University College (ET)
- Seoul National University Bundang Hospital (KR)
Publication Details
- Journal
- ALPHA PSYCHIATRY
- Published
- 2026-02-26
- DOI
- https://doi.org/10.31083/ap46201
- Primary Topic
- Impact of Technology on Adolescents
- Type
- article
- Field-Weighted Citation Impact
- 0.00