Literature DB >> 17509770

Adolescent smoking networks: the effects of influence and selection on future smoking.

Jeffrey A Hall1, Thomas W Valente.   

Abstract

Peer influence and peer selection have both been linked to the smoking behavior of adolescents. The present investigation uses social network analysis methodology to explore the simultaneous effects of both processes on adolescent smoking and smoking susceptibility over two time periods. Results suggest the effects of friendship selection in 6th grade on smoking behavior in 7th grade were primarily direct. Selecting smokers as friends in 6th grade predicted both smoking and smoking susceptibility in 7th grade, and selecting susceptibles predicted future friendship selection and peer influence. Influence processes were indirectly related to smoking. Smokers' influence in 6th grade predicts the selection of smokers as friends in 7th grade. Smokers' influence also demonstrated a protective effect when ties were not reciprocated.

Mesh：

Year:  2007        PMID： 17509770      PMCID： PMC2697961          DOI： 10.1016/j.addbeh.2007.04.008

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


  18 in total

1.  Effects of a social-network method for group assignment strategies on peer-led tobacco prevention programs in schools.

Authors:  Thomas W Valente; Beth R Hoffman; Annamara Ritt-Olson; Kara Lichtman; C Anderson Johnson
Journal:  Am J Public Health       Date:  2003-11       Impact factor: 9.308

2.  Secular trends in adolescent never smoking from 1990 to 1999 in California: an age-period-cohort analysis.

Authors:  Xinguang Chen; Guohua Li; Jennifer B Unger; Xiaowei Liu; C Anderson Johnson
Journal:  Am J Public Health       Date:  2003-12       Impact factor: 9.308

3.  Time spent with friends who smoke and quit attempts among teen smokers.

Authors:  Daniel N Jones; Jennifer R Schroeder; Eric T Moolchan
Journal:  Addict Behav       Date:  2004-06       Impact factor: 3.913

4.  Predictors of smoking intentions and smoking status among nonsmoking and smoking adolescents.

Authors:  Vida L Tyc; Wendy Hadley; Deanna Allen; Sherri Varnell; Sydney Ey; Shesh N Rai; Shelly Lensing
Journal:  Addict Behav       Date:  2004-08       Impact factor: 3.913

5.  Adolescents' first and most recent use situations of smokeless tobacco and cigarettes: similarities and differences.

Authors:  G Hahn; V L Charlin; S Sussman; C W Dent; J Manzi; A W Stacy; B Flay; W B Hansen; D Burton
Journal:  Addict Behav       Date:  1990       Impact factor: 3.913

6.  Predicting tobacco use to age 18: a synthesis of longitudinal research.

Authors:  J H Derzon; M W Lipsey
Journal:  Addiction       Date:  1999-07       Impact factor: 6.526

Review 7.  Using social networks to understand and prevent substance use: a transdisciplinary perspective.

Authors:  Thomas W Valente; Peggy Gallaher; Michele Mouttapa
Journal:  Subst Use Misuse       Date:  2004       Impact factor: 2.164

8.  Peer influence on smoking initiation during early adolescence: a comparison of group members and group outsiders.

Authors:  P A Aloise-Young; J W Graham; W B Hansen
Journal:  J Appl Psychol       Date:  1994-04

9.  Variability in cigarette smoking within and between adolescent friendship cliques.

Authors:  S T Ennett; K E Bauman; G G Koch
Journal:  Addict Behav       Date:  1994 May-Jun       Impact factor: 3.913

10.  Grade changes in peer influence on adolescent cigarette smoking: a comparison of two measures.

Authors:  K A Urberg; C H Cheng; S J Shyu
Journal:  Addict Behav       Date:  1991       Impact factor: 3.913
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  48 in total

1.  Personal network correlates of alcohol, cigarette, and marijuana use among homeless youth.

Authors:  Suzanne L Wenzel; Joan S Tucker; Daniela Golinelli; Harold D Green; Annie Zhou
Journal:  Drug Alcohol Depend       Date:  2010-07-24       Impact factor: 4.492

2.  Differences in norms towards the use of nicotine vaping products among adult smokers, former smokers and nicotine vaping product users: cross-sectional findings from the 2016 ITC Four Country Smoking and Vaping Survey.

Authors:  Sarah Aleyan; Katherine East; Ann McNeill; K Michael Cummings; Geoffrey T Fong; Hua-Hie Yong; James F Thrasher; Ron Borland; Sara C Hitchman
Journal:  Addiction       Date:  2019-06-18       Impact factor: 6.526

3.  A network method of measuring affiliation-based peer influence: assessing the influences of teammates' smoking on adolescent smoking.

Authors:  Kayo Fujimoto; Jennifer B Unger; Thomas W Valente
Journal:  Child Dev       Date:  2012-02-07

4.  Adolescent social networks: general and smoking-specific characteristics associated with smoking.

Authors:  Megan E Roberts; Jessica E Nargiso; Linda Brazil Gaitonde; Cassandra A Stanton; Suzanne M Colby
Journal:  J Stud Alcohol Drugs       Date:  2015-03       Impact factor: 2.582

5.  Peer influence and selection processes in adolescent smoking behavior: a comparative study.

Authors:  Harold D Green; Mariana Horta; Kayla de la Haye; Joan S Tucker; David R Kennedy; Michael Pollard
Journal:  Nicotine Tob Res       Date:  2012-09-03       Impact factor: 4.244

6.  Decomposing the components of friendship and friends' influence on adolescent drinking and smoking.

Authors:  Kayo Fujimoto; Thomas W Valente
Journal:  J Adolesc Health       Date:  2012-02-10       Impact factor: 5.012

7.  Tobacco use and its treatment among young people in mental health settings: a qualitative analysis.

Authors:  Judith J Prochaska; Sebastien C Fromont; Christina Wa; Ryan Matlow; Danielle E Ramo; Sharon M Hall
Journal:  Nicotine Tob Res       Date:  2013-01-15       Impact factor: 4.244

8.  With a Little Help from My Friends? Asymmetrical Social Influence on Adolescent Smoking Initiation and Cessation.

Authors:  Steven A Haas; David R Schaefer
Journal:  J Health Soc Behav       Date:  2014-05-12

9.  The Role of Social-Emotional and Social Network Factors in the Relationship Between Academic Achievement and Risky Behaviors.

Authors:  Mitchell D Wong; Danielle Strom; Lourdes R Guerrero; Paul J Chung; Desiree Lopez; Katherine Arellano; Rebecca N Dudovitz
Journal:  Acad Pediatr       Date:  2017-04-18       Impact factor: 3.107

10.  How Initial Prevalence Moderates Network-based Smoking Change: Estimating Contextual Effects with Stochastic Actor-based Models.

Authors:  Jimi Adams; David R Schaefer
Journal:  J Health Soc Behav       Date:  2016-03
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