ArticleBMC public health2023
Mutual pathways between peer and own e-cigarette use among youth in the United States: a cross-lagged model.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Psychosocial Correlates of Adolescent E-Cigarette Preventive Behavior Among Thai Secondary School Students: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Knowledge, Attitude, and Use of E-Cigarettes Among Syrian University Students: A Cross-Sectional Study.Health science reports · 2026Article
- Adolescents' perceptions of tobacco and electronic cigarette prevention: Six school-based cohorts (2010/11-2023/24).Addictive behaviors reports · 2026Article
- Tobacco advertising, cross-over effects, and US adolescent progression from never to current tobacco use.BMC public health · 2026Article
- Mediation analysis investigating the mechanisms of two school-based smoking prevention interventions in adolescents from Northern Ireland and Bogotá.Frontiers in public health · 2026Article
- Assessment of the prevalence, knowledge, and perceptions of e-cigarette use among the Palestinian community: a cross-sectional study.Scientific reports · 2025Article
- Vaping Among Malaysian Students 2022-2024: A Systematic Review of Prevalence, Awareness and Influencing Factors.The Malaysian journal of medical sciences : MJMS · 2025Review
- Vaping cessation support recommendations from adolescents who vape: a qualitative study.BMC public health · 2024Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectronic cigarettes (e-cigarettes) have become the most common tobacco product used among adolescents in the United States (US). Prior research has shown that peer e-cigarette use was associated with increased risk of own e-cigarette use. Nonetheless, there is little empirical evidence on the directionality of these associations-if peer use predicts own use (peer influence) or if own use predicts peer use (peer selection).
methodsWe estimated the association between peer and own e-cigarette use among US adolescents 12-17 years of age. We used the cross-lagged model to investigate the mutual relationship between peer and own e-cigarette use over time using data from a population-based longitudinal study, Population Assessment of Tobacco and Health. Stratified analyses were conducted by sex and age subgroups.
resultsResults from a cross-lagged model showed a statistically significant predicting path leading from peer use at the prior time point to own use at the following time point, but not vice versa.
conclusionsWe found strong relationships between peer e-cigarette use and own e-cigarette use at within-individual levels. Peer influence paths were more robust than peer selection paths for e-cigarette use. Incorporating peers into prevention and intervention programs may help enhance these strategies.
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