Literature DB >> 26469641

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

Cynthia M Lakon1, John R Hipp1, Cheng Wang1, Carter T Butts1, Rupa Jose1.   

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.

Mesh:

Year:  2015        PMID: 26469641      PMCID: PMC4638256          DOI: 10.2105/AJPH.2015.302789

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  26 in total

1.  When interventions harm. Peer groups and problem behavior.

Authors:  T J Dishion; J McCord; F Poulin
Journal:  Am Psychol       Date:  1999-09

2.  What parents know, how they know it, and several forms of adolescent adjustment: further support for a reinterpretation of monitoring.

Authors:  M Kerr; H Stattin
Journal:  Dev Psychol       Date:  2000-05

Review 3.  Network interventions.

Authors:  Thomas W Valente
Journal:  Science       Date:  2012-07-06       Impact factor: 47.728

4.  Disentangling social selection and social influence effects on adolescent smoking: the importance of reciprocity in friendships.

Authors:  Liesbeth Mercken; Math Candel; Paul Willems; Hein de Vries
Journal:  Addiction       Date:  2007-07-04       Impact factor: 6.526

5.  One-year outcomes of Project Towards No Drug Abuse.

Authors:  S Sussman; C W Dent; A W Stacy; S Craig
Journal:  Prev Med       Date:  1998 Jul-Aug       Impact factor: 4.018

6.  How are social support effects mediated? A test with parental support and adolescent substance use.

Authors:  T A Wills; S D Cleary
Journal:  J Pers Soc Psychol       Date:  1996-11

7.  Research Note: The consequences of different methods for handling missing network data in Stochastic Actor Based Models.

Authors:  John R Hipp; Cheng Wang; Carter T Butts; Rupa Jose; Cynthia M Lakon
Journal:  Soc Networks       Date:  2015-05-01

8.  Bridging: Locating Critical Connectors in a Network.

Authors:  Thomas W Valente; Kayo Fujimoto
Journal:  Soc Networks       Date:  2010-07-01

9.  A Dynamic Model of Adolescent Friendship Networks, Parental Influences, and Smoking.

Authors:  Cynthia M Lakon; Cheng Wang; Carter T Butts; Rupa Jose; David S Timberlake; John R Hipp
Journal:  J Youth Adolesc       Date:  2014-09-20

10.  Social networks and smoking: exploring the effects of peer influence and smoker popularity through simulations.

Authors:  David R Schaefer; Jimi Adams; Steven A Haas
Journal:  Health Educ Behav       Date:  2013-10
View more
  9 in total

1.  Peer Influence, Peer Selection and Adolescent Alcohol Use: a Simulation Study Using a Dynamic Network Model of Friendship Ties and Alcohol Use.

Authors:  Cheng Wang; John R Hipp; Carter T Butts; Rupa Jose; Cynthia M Lakon
Journal:  Prev Sci       Date:  2017-05

2.  Tobacco use among children in Romanian foster care homes.

Authors:  Ferencz Iozsef Lorand; Abram Zoltan; Schmidt Lorand; Balazs Peter; Kristie L Foley
Journal:  Eur J Public Health       Date:  2016-04-15       Impact factor: 3.367

3.  School racial segregation and long-term cardiovascular health among Black adults in the US: A quasi-experimental study.

Authors:  Min Hee Kim; Gabriel L Schwartz; Justin S White; M Maria Glymour; Sean F Reardon; Kiarri N Kershaw; Scarlett Lin Gomez; Daniel F Collin; Pushkar P Inamdar; Guangyi Wang; Rita Hamad
Journal:  PLoS Med       Date:  2022-06-21       Impact factor: 11.613

4.  Are national antitobacco campaigns reaching high-risk adolescents? A cross-sectional analysis from PATH Wave 2.

Authors:  C V Weiger; T N Alexander; M B Moran
Journal:  Health Educ Res       Date:  2020-02-01

5.  Insight into Selecting Adolescents for Drinking Intervention Programs: a Simulation Based on Stochastic Actor-Oriented Models.

Authors:  Cheng Wang; John R Hipp; Carter T Butts; Cynthia M Lakon
Journal:  Prev Sci       Date:  2021-06-12

6.  The interdependence of cigarette, alcohol, and marijuana use in the context of school-based social networks.

Authors:  Cheng Wang; John R Hipp; Carter T Butts; Cynthia M Lakon
Journal:  PLoS One       Date:  2018-07-20       Impact factor: 3.240

7.  Associations between State-Level Obesity Rates, Engagement with Food Brands on Social Media, and Hashtag Usage.

Authors:  Yuanqi Gu; Jaime Coffino; Rebecca Boswell; Zora Hall; Marie A Bragg
Journal:  Int J Environ Res Public Health       Date:  2021-12-03       Impact factor: 3.390

8.  An application of the Continuous Opinions and Discrete Actions (CODA) model to adolescent smoking initiation.

Authors:  Ruoyan Sun; David Mendez
Journal:  PLoS One       Date:  2017-10-11       Impact factor: 3.240

9.  Understanding the Extent of Adolescents' Willingness to Engage With Food and Beverage Companies' Instagram Accounts: Experimental Survey Study.

Authors:  Samina Lutfeali; Tisheya Ward; Tenay Greene; Josh Arshonsky; Azizi Seixas; Madeline Dalton; Marie A Bragg
Journal:  JMIR Public Health Surveill       Date:  2020-10-27
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.