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Simulating Dynamic Network Models and Adolescent Smoking: The Impact of Varying Peer Influence and Peer Selection
Author(s) -
Cynthia M. Lakon,
John R. Hipp,
Cheng Wang,
Carter T. Butts,
Rupa Jose
Publication year - 2015
Publication title -
american journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.284
H-Index - 264
eISSN - 1541-0048
pISSN - 0090-0036
DOI - 10.2105/ajph.2015.302789
Subject(s) - peer effects , selection (genetic algorithm) , peer influence , peer group , psychology , propensity score matching , association (psychology) , contrast (vision) , longitudinal study , adolescent health , medicine , social psychology , environmental health , developmental psychology , demography , computer science , sociology , nursing , pathology , artificial intelligence , psychotherapist
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.

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