Document Type

Article

Publication Date

11-2-2025

Abstract

Background: Peer influence is central to adolescent smoking initiation, yet its impact varies depending on individual and contextual factors. Understanding which moderators (personality, contextual, cultural, and environmental traits) shape these processes can inform more effective prevention strategies. We investigated hypothesized moderators of peer influence for adolescent smoking/vaping norms and other smoking-related outcomes in high and low-middle-income countries (LMICs): Northern Ireland and Bogotá.

Methods: Across 12 schools (n = 1,344, age 12–13 years), participants completed novel behavioral economics experiments measuring social norms, and self-report surveys, before and after school-based prevention interventions (ASSIST and Dead Cool). We examined how peer influence effects were moderated by setting, intervention type, gender, school socio-economic status (SES), personality traits, social network positions, and self-efficacy. Moderation was examined using regressions with interactions between peer-group means (friends, school classes, school year groups) of the outcome variables and moderators (p ≤ 0.01).

Results: Peer influence was moderated by study setting, intervention, gender, school SES, personality characteristics (pro-sociality, fear of negative evaluation, extraversion), and social network structure. Effects were stronger among girls and in schools with lower SES. ASSIST schools showed greater peer influence effects than Dead Cool, reflecting the programs’ distinct mechanisms, as ASSIST operates primarily through network diffusion and Dead Cool through teacher-led instruction and skills-building. Network measures highlighted that peer influence was stronger amongst more central individuals and more homogenous networks.

Conclusion: Susceptibility to peer influence depends on contextual, individual, and network factors. Future social norms interventions should provide information on both injunctive and descriptive norms and highlight the social consequences of smoking, particularly in LMICs. Gender-tailored approaches are needed to address heightened susceptibility among girls. Future intervention research should combine peer-led diffusion approaches with teacher-led instruction to maximize reach and sustainability in different contexts. Social influence-based interventions may be particularly beneficial for schools with lower SES or in LMICs without tobacco control legislation, where smoking remains largely normalized. Network-based interventions like ASSIST could benefit from careful consideration of which network metrics are used to select peer leaders (e.g., eigenvector or closeness centralities) and exploring alternative approaches for more heterogeneous networks (e.g., ‘segmentation’, which targets clusters of individuals within social networks).

Comments

This article was originally published in Frontiers in Psychology, volume 16, in 2025. https://doi.org/10.3389/fpsyg.2025.1655761

Table 1.docx (1876 kB)
SUPPLEMENTARY File 1 | Supplementary methods, social network parameter definitions, study flow diagram, participants’ baseline characteristics, and breakdown of outcome variables.

Table 2.docx (1583 kB)
SUPPLEMENTARY File 2 | Regression coefficients for predictors, moderators, and interactions.

Table 3.docx (786 kB)
SUPPLEMENTARY FILE 3 | Marginal effects, regions of significance, and changes in R-squared values for models with significant interactions.

Table 4.pdf (2414 kB)
SUPPLEMENTARY FILE 4 | Figures showing conditional effects of peer influence for smoking and vaping outcomes by varying levels of the moderators with bounds indicating regions of significance.

Table 5.docx (1364 kB)
SUPPLEMENTARY FILE 5 | Multiverse figures.

Peer Reviewed

1

Copyright

The authors

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.