Literature DB >> 22251218

A longitudinal social network analysis of peer influence, peer selection, and smoking behavior among adolescents in British schools.

Liesbeth Mercken1, Christian Steglich, Philip Sinclair, Jo Holliday, Laurence Moore.   

Abstract

OBJECTIVE: Similarity in smoking behavior among adolescent friends could be caused by selection of friends on the basis of behavioral similarity, or by influence processes, where behavior is changed to be similar to that of friends. The main aim of the present study is to disentangle selection and influence processes and study changes over time in these processes using new methods of longitudinal social network analysis.
METHODS: The sample consists of 1716 adolescents (mean age at baseline = 12.17 years, SD = .38) in 11 British schools participating in the control group of the ASSIST (A Stop Smoking in School Trial) study. The design was longitudinal with three observations at one-year intervals. At each observation, participants were asked to report on their smoking behavior and friendship networks. An actor-based model of friendship network and smoking behavior coevolution (a statistical model for the simultaneously occurring changes in friendship nominations and smoking) was analyzed, capable of modeling possible changes occurring between observations, allowing alternative influence and selection mechanisms to be investigated, and avoiding the violation of assumptions of statistical independence of observed data.
RESULTS: Adolescent's tendency to select friends based on similar smoking behavior was found to be a stronger predictor of smoking behavior than friends' influence. The proportion of smoking behavior similarity explained by smoking-based selection of friends increased over time, whereas the proportion explained by influence of friends decreased.
CONCLUSIONS: Smoking prevention should not solely focus on social influence but also consider selection processes and changes in both processes over time during adolescence.

Entities:  

Mesh:

Year:  2012        PMID: 22251218     DOI: 10.1037/a0026876

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


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

Authors:  Cynthia M Lakon; John R Hipp; Cheng Wang; Carter T Butts; Rupa Jose
Journal:  Am J Public Health       Date:  2015-10-15       Impact factor: 9.308

3.  The interplay of friendship networks and social networking sites: longitudinal analysis of selection and influence effects on adolescent smoking and alcohol use.

Authors:  Grace C Huang; Daniel Soto; Kayo Fujimoto; Thomas W Valente
Journal:  Am J Public Health       Date:  2014-06-12       Impact factor: 9.308

4.  Better late than never: the perceived benefits of smoking cessation among women in late midlife.

Authors:  Judith S Brook; Elizabeth Rubenstone; Chenshu Zhang; David W Brook
Journal:  J Addict Dis       Date:  2014

5.  The potential scientist's dilemma: How the Masculinization of Science Shapes Friendships and Science Job Preferences.

Authors:  G Robin Gauthier; Patricia Wonch Hill; Julia McQuillan; Amy N Spiegel; Judy Diamond
Journal:  Soc Sci (Basel)       Date:  2017-02-14

6.  Adolescent Social Networks and Alcohol Use: Variability by Gender and Type.

Authors:  Wura Jacobs; Patricia Goodson; Adam E Barry; Kenneth R McLeroy; E Lisako J McKyer; Thomas W Valente
Journal:  Subst Use Misuse       Date:  2016-12-23       Impact factor: 2.164

7.  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

8.  Not getting high with a little help from your friends: Social versus drug network correlates of marijuana use among YMSM.

Authors:  Patrick Janulis; Michelle Birkett; Gregory Phillips Ii; Brian Mustanski
Journal:  Addict Behav       Date:  2019-01-06       Impact factor: 3.913

9.  The Relationship between Neighborhood Disorder, Social Networks, and Indoor Cigarette Smoking among Impoverished Inner-City Residents.

Authors:  Carl A Latkin; Tuo-Yen Tseng; Melissa Davey-Rothwell; Ryan D Kennedy; Meghan Bridgid Moran; Lauren Czaplicki; Catie Edwards; Oluwaseun Falade-Nwulia; Geetanjali Chander; Amy R Knowlton
Journal:  J Urban Health       Date:  2017-08       Impact factor: 3.671

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.