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Latent profile and transition analyses of internet gaming disorder among college students: A one-year longitudinal study
1 College of Philosophy, Law & Political Science, Shanghai Normal University, Shanghai, China
2 School of Marxism, Shanghai Normal University, Shanghai, China
3 School of Education, Shanghai Normal University, Shanghai, China
4 School of Teacher Education, Hubei Minzu University, Enshi, China
* Corresponding Authors: Yan Tang. Email: ; Bin Gao. Email:
# These authors contributed equally to this work and share co-first authorship
Journal of Psychology in Africa 2026, 36(4), 507-516. https://doi.org/10.32604/jpa.2026.078648
Received 05 January 2026; Accepted 03 April 2026; Issue published 31 August 2026
Abstract
Previous research has indicated heterogeneity in Internet Gaming Disorder (IGD) profiles in college students. However, longitudinal evidence regarding the stability and transition patterns of IGD subgroups among college students remains limited. This two-wave longitudinal study, with a one-year interval, included 343 Chinese undergraduate students (57.7% female; mean age = 18.28 years, SD = 1.14) who participated in both surveys. Latent profile analysis identified three distinct IGD subgroups—High, Moderate, and Low IGD—which were consistent across both time points. Regression analyses indicated that male gender, greater gaming time, loneliness, and depression were associated with higher IGD severity. Self-control consistently served as a protective factor. Latent transition analysis revealed moderate stability but substantial fluidity in IGD profiles, particularly among Moderate and High IGD groups, suggesting that IGD is a dynamic condition that changes over time. These findings are consistent with self-regulation theory and compensatory internet use theory and underscore the importance of integrated self-regulatory interventions to address IGD in university settings.Keywords
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Copyright © 2026 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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