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Open Access Research article

Peer selection and influence effects on adolescent alcohol use: a stochastic actor-based model

Marlon P Mundt1*, Liesbeth Mercken2 and Larissa Zakletskaia1

Author Affiliations

1 Department of Family Medicine, University of Wisconsin School of Medicine and Public Health, 1100 Delaplaine Ct, Madison, WI 53715, USA

2 Department of Primary Care Health Promotion, Maastricht University (Netherlands) School for Public Health, PO Box 616, 6200, MD, Maastricht, the Netherlands

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BMC Pediatrics 2012, 12:115  doi:10.1186/1471-2431-12-115

Published: 6 August 2012

Abstract

Background

Early adolescent alcohol use is a major public health challenge. Without clear guidance on the causal pathways between peers and alcohol use, adolescent alcohol interventions may be incomplete. The objective of this study is to disentangle selection and influence effects associated with the dynamic interplay of adolescent friendships and alcohol use.

Methods

The study analyzes data from Add Health, a longitudinal survey of seventh through eleventh grade U.S. students enrolled between 1995 and 1996. A stochastic actor-based model is used to model the co-evolution of alcohol use and friendship connections.

Results

Selection effects play a significant role in the creation of peer clusters with similar alcohol use. Friendship nominations between two students who shared the same alcohol use frequency were 3.60 (95% CI: 2.01-9.62) times more likely than between otherwise identical students with differing alcohol use frequency. The model controlled for alternative pathways to friendship nomination including reciprocity, transitivity, and similarities in age, gender, and race/ethnicity. The simulation model did not support a significant friends’ influence effect on alcohol behavior.

Conclusions

The findings suggest that peer selection plays a major role in alcohol use behavior among adolescent friends. Our simulation results would lend themselves to adolescent alcohol abuse interventions that leverage adolescent social network characteristics.