Evidence map›Paper›PMID 42111951›Full record

ArticleAddictive behaviors reports2026

Phenotypes associated with problematic online gaming and gambling: A clustering approach among young adults.

Roser Granero, Fernando Fernández-Aranda, Zsolt Demetrovics, Susana Jiménez-Murcia

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Article in Addictive behaviors reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Roser GraneroDepartment of Psychobiology and Methodology, Universitat Autònoma de Barcelona - UAB, Barcelona, Spain.
Fernando Fernández-ArandaCiber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain.
Zsolt DemetrovicsFlinders University Institute for Mental Health and Wellbeing, College of Education, Psychology and Social Work, Flinders University, Bedford Park, SA, Australia.
Susana Jiménez-MurciaCiber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain.

Funding

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6 · The paper itself

Abstract

Background and objectives: Excessive engagement in online gaming and gambling is increasingly prevalent among young individuals, particularly first-year university students, and is associated with significant psychosocial damage. The aim of the present study was to identify empirical clusters among university students reporting problematic online gaming and gambling behaviors and to examine the extent to which these clusters differ from a control group of students without gaming- and gambling-related problems. Method: The sample included 273 first-year university students (180 women and 93 men, aged 18-25 years). Participants were first classified into a subgroup with problematic online gaming or gambling (n = 100) and a non-problematic (control) group (n = 173), based on DSM-5 criteria. A two-step cluster analysis was then conducted exclusively within the problematic subgroup to identify latent profiles, using indicators of addictive behavior severity, engagement with social networks and the internet, impulsivity, emotion dysregulation, gambling-related cognitive distortions, and psychological distress. Subsequently, the identified clusters were compared with each other and with the control group across a broad range of psychological and behavioral indicators. Results: Two clusters were identified, primarily differentiated by the severity of gaming-gambling involvement and associated psychological vulnerabilities. Cluster profiles revealed distinct patterns of impulsivity, emotional deficit, and cognitive biases. Both clusters significantly differed from the control group, with higher scores on all clinical and cognitive measures except for the social internet use and sensation seeking. Conclusion: The findings provide empirical support for the heterogeneity of problematic gaming and gambling among young university students. The identification of discrete subgroups underscores the relevance of individualized prevention and intervention strategies, tailored to the severity and psychological correlates of the addictive behavior(s). These results also highlight the need to refine screening and diagnostic tools within this target population.

Indexed as

ClusterOnline Gambling DisorderOnline Gaming DisorderProblematic Internet UseUniversity Students

Identifiers

PMID42111951
PMCPMC13156694

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