ArticleJournal of adolescence2026
Problematic Social Media Use Profiles and Adolescent Substance Use Across Countries: A Latent Class Analysis With Multilevel Models.
Article in Journal of adolescence, 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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Abstract
backgroundWhile substantial evidence suggests a significant association between problematic social media use (PSMU) and adolescent substance use, the complex nature of PSMU and its cross-national variations remain unclear.
objectivesThis study aimed to identify distinct patterns of PSMU, compare their prevalence across countries, and examine the associations between these patterns and adolescent substance use.
methodsThis study analyzed a representative adolescent sample (N = 157,717) from 39 countries, utilizing data from the 2017-2018 Health Behaviour in School-aged Children (HBSC) survey. Latent class analysis (LCA) was conducted to identify different patterns of PSMU. Multilevel logistic regression models were then used to investigate the associations between these identified PSMU patterns and adolescent substance use, specifically focusing on smoking, drunkenness, and cannabis use.
resultsFive distinct patterns of PSMU were identified: Non-problematic users (52.60%), Preoccupation-driven users (8.42%), conflictual-compulsive users (11.37%), regulation-failure users (25.16%), and highly-problematic users (2.45%). The distribution of PSMU patterns varied across countries and regions, suggesting cross-national heterogeneity rather than a clear geographical or economic gradient. Consistent patterns of association were found between adolescent PSMU and substance use. Highly-Problematic Users showed the strongest associations with smoking, drunkenness, and cannabis use, followed by conflictual-compulsive users and preoccupation-driven users, while regulation-failure users exhibited the weakest association.
conclusionsThese findings underscore the importance of developing tailored interventions for adolescent PSMU that are based on distinct patterns. Furthermore, special attention should be given to the diverse associations of these PSMU patterns with adolescent substance use.
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