Literature DB >> 20332061

Friendship networks and trajectories of adolescent tobacco use.

Michael S Pollard1, Joan S Tucker, Harold D Green, David Kennedy, Myong-Hyun Go.   

Abstract

This article examines how friendship networks in adolescence are linked to tobacco use trajectories through a combination of analytic techniques that traditionally are located in separate literatures: social network analysis and developmental trajectory analysis. Using six years of longitudinal data from the National Longitudinal Study of Adolescent Health, we identify a set of six unique developmental trajectories of smoking (never smokers, steady lows, delayed increasers, early increasers, decreasers, and steady highs). Individuals' locations in their friendship networks were then linked to their trajectory group membership. Adolescents with a greater number of smoking friends were more likely to belong to the higher use trajectories. Beyond this exposure to smoking peers, individuals who at baseline were either members of a smoking group or liaisons to a smoking group were more likely than members of a nonsmoking group to belong to the higher use trajectories. Liaisons to a smoking group were particularly likely to belong to the delayed increaser trajectory group. Trajectory group membership for adolescents who belonged to a nonsmoking group did not significantly differ from those who were isolates or liaisons to a nonsmoking group. The study suggests features of an individual's social network have long-lasting associations with smoking behaviors. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20332061     DOI: 10.1016/j.addbeh.2010.02.013

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  28 in total

1.  Befriending Risky Peers: Factors Driving Adolescents' Selection of Friends with Similar Marijuana Use.

Authors:  Kayla de la Haye; Harold D Green; Michael S Pollard; David P Kennedy; Joan S Tucker
Journal:  J Youth Adolesc       Date:  2014-11-04

2.  Do peers' parents matter? A new link between positive parenting and adolescent substance use.

Authors:  Michael J Cleveland; Mark E Feinberg; D Wayne Osgood; James Moody
Journal:  J Stud Alcohol Drugs       Date:  2012-05       Impact factor: 2.582

Review 3.  Emergence of sex differences in the development of substance use and abuse during adolescence.

Authors:  Cynthia Kuhn
Journal:  Pharmacol Ther       Date:  2015-06-03       Impact factor: 12.310

4.  Adolescent peer networks and the moderating role of depressive symptoms on developmental trajectories of cannabis use.

Authors:  Michael S Pollard; Joan S Tucker; Harold D Green; Kayla de la Haye; Dorothy L Espelage
Journal:  Addict Behav       Date:  2017-07-19       Impact factor: 3.913

5.  Social networks and sexual orientation disparities in tobacco and alcohol use.

Authors:  Mark L Hatzenbuehler; Katie A McLaughlin; Ziming Xuan
Journal:  J Stud Alcohol Drugs       Date:  2015-01       Impact factor: 2.582

6.  Emerging Adulthood, Emergent Health Lifestyles: Sociodemographic Determinants of Trajectories of Smoking, Binge Drinking, Obesity, and Sedentary Behavior.

Authors:  Jonathan Daw; Rachel Margolis; Laura Wright
Journal:  J Health Soc Behav       Date:  2017-04-17

7.  Genetic influences on developmental smoking trajectories.

Authors:  Christina N Lessov-Schlaggar; Sean D Kristjansson; Kathleen K Bucholz; Andrew C Heath; Pamela A F Madden
Journal:  Addiction       Date:  2012-05-08       Impact factor: 6.526

8.  Thirty-day smoking in adolescence is a strong predictor of smoking in young adulthood.

Authors:  Lauren M Dutra; Stanton A Glantz
Journal:  Prev Med       Date:  2018-02-03       Impact factor: 4.018

9.  Individual- and community-level correlates of cigarette-smoking trajectories from age 13 to 32 in a U.S. population-based sample.

Authors:  Bernard Fuemmeler; Chien-Ti Lee; Krista W Ranby; Trenette Clark; F Joseph McClernon; Chongming Yang; Scott H Kollins
Journal:  Drug Alcohol Depend       Date:  2013-03-15       Impact factor: 4.492

10.  Transitions in Smokers' Social Networks After Quit Attempts: A Latent Transition Analysis.

Authors:  Bethany C Bray; Rachel A Smith; Megan E Piper; Linda J Roberts; Timothy B Baker
Journal:  Nicotine Tob Res       Date:  2016-07-13       Impact factor: 4.244

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