Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/72260, first published
.

Journals
- 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;26(1) View
- 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
- Estrella T, Capdevila L, Alfonso C, Losilla J. Machine Learning for the Analysis of Healthy Lifestyle Data: Scoping Review and Guidelines. JMIR Human Factors 2026;13:e78648 View
- NGADAN D, MAZLAN N, JAMEL A, ISMAIL S, MAHENDRAN D, KAPITONOVA M. PREVALENCE OF SOCIAL MEDIA ADDICTION AND ITS ASSOCIATED FACTORS AMONG UNDERGRADUATE STUDENTS AT UNIVERSITI MALAYSIA SARAWAK (UNIMAS), SARAWAK. AVICENNA BULLETIN 2026;28(1):67 View
- Martínez-Murciano M, González-Afonso M, Ariño-Mateo E, Pérez-Jorge D. Relationships Between Problematic Internet Use, Physical Activity, and Mental Health in University Students. Education Sciences 2026;16(4):641 View
- Niyazova G, Kerimbayeva B, Berdi D, Bazarbayeva A, Sadykova S. Developing an educational model of digital socialization to prevent internet addiction among university students in Kazakhstan. Frontiers in Education 2026;11 View
- García-Pérez L, Torres-Luque G, Martins C, Padial-Ruz R. 24-h Movement Guideline Adherence and Mental Health in University Students: Patterns Across Adherence Levels and Academic Fields. Behavioral Sciences 2026;16(5):766 View
- Büğüşan Oruç S, Mirzaoğlu N, Yıldırım Z, Akkaya K, Elbasan B, Yakut Y. Predictors of sedentary behaviour in adults: the role of social media addiction and physical activity – a cross-sectional study from Turkey. Journal of Global Health 2026;16 View
Conference Proceedings
- Kumar T, Venkata Sateesh Kumar P, Anoch B, Nikhila B, Suresh K, Suresh J. 2026 International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT). Uncertainty-Aware Explainable Ensemble Learning Framework for Smartphone Addiction Prediction using Behavioural Data View
