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.

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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
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article

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

Wonho Seo, Young Hoon Jung, KK Lee
ALPHA PSYCHIATRY
Impact of Technology on Adolescents
article

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

Wonho Seo, Young Hoon Jung, KK Lee
article en

Abstract

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.

ALPHA PSYCHIATRYVol. 27(1)
New Generation University College (ET), Seoul National University Bundang Hospital (KR)
Openalex Percentile: Top 41%
Impact of Technology on Adolescents
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