This paper is in the following e-collection/theme issue:

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2145) Diagnostic Tools in Mental Health (328) Mental Health Issues in Adolescence (646) Problematic Internet Use, Online Gambling and Game Addiction (191)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72260, first published .
Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach

Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach

Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach

Authors of this article:

Lin Luo1, 2 Author Orcid Image ;   Junfeng Yuan1 Author Orcid Image ;   Chen Xu1 Author Orcid Image ;   Huilin Xu1 Author Orcid Image ;   Haojie Tan1 Author Orcid Image ;   Yinhao Shi1 Author Orcid Image ;   Haiping Zhang1 Author Orcid Image ;   Haijun Xi1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Zhang Z, Li R, Xie Y, Chen Z, Bailey R, Khoo S. Prevalence of meeting 24-hour movement guidelines in China: a systematic review and meta-analysis. BMC Public Health 2025 View
  2. Tam W, Hou C, Eisingerich A. Super Mario Bros. and Yoshi Games’ Affordance of Childlike Wonder and Reduced Burnout Risk in Young Adults: In-Depth Mixed Methods Cross-Sectional Study. JMIR Serious Games 2025;13:e84219 View