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September 25, 2025Open Access

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

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Authors

AKAndrew KimULUibin LeeYCYongsung Cho

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Overview

Observational analysis identifies a novel screening tool and highlights regional variations in adolescent smartphone overdependence.

Key Points

  • The study developed a screening tool that achieved an AUC of 81.5%, indicating strong predictive accuracy.
  • Using data from 1,873 adolescents, showing a significant impact of smartphone use cases on predictive performance.
  • A nested modeling approach uncovered cognitive patterns relevant to smartphone overdependence in adolescents.
  • Place-stratified analysis revealed regional variations in model performance, influencing public health strategies.

Cite This Study

Kim et al. (2025) studied this question.

synapsesocial.com/papers/68d5bd72dc445aa9033b0b93https://doi.org/10.20944/preprints202508.0028.v2
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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. 5Problematic smartphone use and risk behaviors in adolescents during the COVID-19 pandemic2025 · 3 citations