模拟动态网络模型与青少年吸烟：同伴影响和同伴选择变化的影响
Simulating Dynamic Network Models and Adolescent Smoking: The Impact of Varying Peer Influence and Peer Selection.
作者信息
Lakon Cynthia M, Hipp John R, Wang Cheng, Butts Carter T, Jose Rupa
机构信息
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.
出版信息
Am J Public Health. 2015 Dec;105(12):2438-48. doi: 10.2105/AJPH.2015.302789. Epub 2015 Oct 15.
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.
我们采用了一种基于随机行为者的方法，来研究同伴影响和同伴选择（即选择相似朋友的倾向）对青少年吸烟行为的影响。数据于1994年至1996年从参与“青少年到成人健康全国纵向研究”的两所学校收集，两所学校分别有2178名和976名学生，且吸烟水平不同。我们在模拟策略中对同伴影响和选择参数进行的实验性操作表明，更强的同伴影响会降低学校层面的吸烟率。与吸烟者可能诱导不吸烟者开始吸烟的假设相反，坚持反吸烟规范可能会导致青少年不吸烟者促使吸烟者戒烟，从而降低学校层面的吸烟率。
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