Simulating Dynamic Network Models and Adolescent Smoking: The Impact of Varying Peer Influence and Peer Selection.

Am J Public Health

Cynthia M. Lakon is with the Department of Population Health and Disease Prevention, Program in Public Health, University of California, Irvine. John R. Hipp is with the Department of Criminology, Law, and Society, School of Social Ecology, and the Department of Sociology, University of California, Irvine. Cheng Wang is with the Department of Sociology at Cornell University, Ithaca, NY. Carter T. Butts is with the Department of Sociology and the Department of Statistics and Electrical Engineering and Computer Science at the University of California, Irvine. Rupa Jose is with the Department of Psychology and Social Behavior, School of Social Ecology, at the University of California, Irvine.

Published: December 2015

AI Article Synopsis

  • We conducted a study using a stochastic actor-based approach to analyze how peer influence and the tendency to choose similar friends affect smoking behaviors among adolescents.
  • Data was collected between 1994 and 1996 from two schools, with a total of 3,154 students, examining various smoking patterns.
  • Our simulations showed that stronger peer influence can lead to lower smoking rates in schools, as nonsmokers may encourage smokers to quit, contrary to the belief that smokers primarily influence nonsmokers to start.

Article Abstract

We used a stochastic actor-based approach to examine the effect of peer influence and peer selection--the propensity to choose friends who are similar--on smoking among adolescents. Data were collected from 1994 to 1996 from 2 schools involved in the National Longitudinal Study of Adolescent to Adult Health, with respectively 2178 and 976 students, and different levels of smoking. Our experimental manipulations of the peer influence and selection parameters in a simulation strategy indicated that stronger peer influence decreased school-level smoking. In contrast to the assumption that a smoker may induce a nonsmoker to begin smoking, adherence to antismoking norms may result in an adolescent nonsmoker inducing a smoker to stop smoking and reduce school-level smoking.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4638256PMC
http://dx.doi.org/10.2105/AJPH.2015.302789DOI Listing

Publication Analysis

Top Keywords

peer influence
16
influence peer
8
school-level smoking
8
smoking
7
peer
6
simulating dynamic
4
dynamic network
4
network models
4
models adolescent
4
adolescent smoking
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!