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October 3, 2025International Journal of Environmental Research and Public HealthOpen Access

Adolescent Smartphone Overdependence in South Korea: A Place-Stratified Evaluation of Conceptually Informed AI/ML Modeling

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Authors

AKAndrew KimULUibin LeeYCY.-J. Cho

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Overview

This analysis shows the impact of smartphone overdependence in adolescents, suggesting tailored public health policies informed by AI/ML models.

Key Points

  • About 40% of South Korean adolescents are affected by smartphone overdependence, highlighting a notable public health issue.
  • AUC scores indicated high predictive accuracy with a screening tool, achieving an AUC of 81.5% using 59 selected features.
  • Utilizing AI/ML modeling, this analysis reveals place-stratified variations in smartphone overdependence across regions.
  • Integrating conceptual frameworks with AI/ML offers innovative approaches to understanding and monitoring adolescent smartphone overdependence.

Cite This Study

Kim et al. (2025) studied this question.

synapsesocial.com/papers/68e0450fa99c246f578b3ea0https://doi.org/10.3390/ijerph22101515
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Adolescent Smartphone Overdependence in South Korea: A Place-Stratified Evaluation of Conceptually Informed AI/ML Modeling2025
  2. 2Conceptually Informed AI/ML for South Korean Adolescent Smartphone Overdependency: Low-Risk Screening, Construct Exploration, & Place-Based Policy Implication Profiles2025
  3. 3Psychosocial Pathways to Smartphone Overdependence in Adolescence: A Multi-Group Path Analysis of Early vs. Late Adolescents2025
  4. 4Association between smartphone overdependence and sexual behavior in adolescents: a secondary data analysis of the 19th Youth Health Behavior Survey2025
  5. 5Context-Aware Digital Phenotyping of Youth Mental Health Using Mobile Ecological Prospective Assessments of Smartphone Use2025