{"title":"Problematic Social Media Use Profiles and Adolescent Substance Use Across Countries: A Latent Class Analysis With Multilevel Models","authors":"Wei Zhong, Naiqi Tian","doi":"10.1002/jad.70201","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>While 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.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>This study aimed to identify distinct patterns of PSMU, compare their prevalence across countries, and examine the associations between these patterns and adolescent substance use.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study analyzed a representative adolescent sample (<i>N</i> = 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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Five 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>These 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.</p>\n </section>\n </div>","PeriodicalId":48397,"journal":{"name":"Journal of Adolescence","volume":"98 6","pages":"2032-2045"},"PeriodicalIF":3.2000,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Adolescence","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jad.70201","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/8 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background
While 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.
Objectives
This study aimed to identify distinct patterns of PSMU, compare their prevalence across countries, and examine the associations between these patterns and adolescent substance use.
Methods
This 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.
Results
Five 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.
Conclusions
These 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.
期刊介绍:
The Journal of Adolescence is an international, broad based, cross-disciplinary journal that addresses issues of professional and academic importance concerning development between puberty and the attainment of adult status within society. It provides a forum for all who are concerned with the nature of adolescence, whether involved in teaching, research, guidance, counseling, treatment, or other services. The aim of the journal is to encourage research and foster good practice through publishing both empirical and clinical studies as well as integrative reviews and theoretical advances.