Literature DB >> 22313152

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

Kayo Fujimoto1, Jennifer B Unger, Thomas W Valente.   

Abstract

Using a network analytic framework, this study introduces a new method to measure peer influence based on adolescents' affiliations or 2-mode social network data. Exposure based on affiliations is referred to as the "affiliation exposure model." This study demonstrates the methodology using data on young adolescent smoking being influenced by joint participation in school-based organized sports activities with smokers. The analytic sample consisted of 1,260 American adolescents from ages 10 to 13 in middle schools, and the results of the longitudinal regression analyses showed that adolescents were more likely to smoke as they were increasingly exposed to teammates who smoke. This study illustrates the importance of peer influence via affiliation through team sports.
© 2012 The Authors. Child Development © 2012 Society for Research in Child Development, Inc.

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Year:  2012        PMID: 22313152      PMCID: PMC3305834          DOI: 10.1111/j.1467-8624.2011.01729.x

Source DB:  PubMed          Journal:  Child Dev        ISSN: 0009-3920


  21 in total

1.  Peers, schools, and adolescent cigarette smoking.

Authors:  C Alexander; M Piazza; D Mekos; T Valente
Journal:  J Adolesc Health       Date:  2001-07       Impact factor: 5.012

2.  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

3.  Project FLAVOR: 1-Year Outcomes of a Multicultural, School-Based Smoking Prevention Curriculum for Adolescents.

Authors:  Jennifer B Unger; Chih-Ping Chou; Paula H Palmer; Anamara Ritt-Olson; Peggy Gallaher; Steven Cen; Kara Lichtman; Stanley Azen; C Anderson Johnson
Journal:  Am J Public Health       Date:  2004-02       Impact factor: 9.308

4.  An overview of methods for the analysis of longitudinal data.

Authors:  S L Zeger; K Y Liang
Journal:  Stat Med       Date:  1992 Oct-Nov       Impact factor: 2.373

5.  Validation of susceptibility as a predictor of which adolescents take up smoking in the United States.

Authors:  J P Pierce; W S Choi; E A Gilpin; A J Farkas; R K Merritt
Journal:  Health Psychol       Date:  1996-09       Impact factor: 4.267

6.  Peer group structure and adolescent cigarette smoking: a social network analysis.

Authors:  S T Ennett; K E Bauman
Journal:  J Health Soc Behav       Date:  1993-09

7.  Sports participation and health-related behaviors among US youth.

Authors:  R R Pate; S G Trost; S Levin; M Dowda
Journal:  Arch Pediatr Adolesc Med       Date:  2000-09

8.  Tobacco use among high school athletes and nonatieletes: results of the 1997 youth risk behavior survey.

Authors:  M J Melnick; K E Miller; D F Sabo; M P Farrell; G M Barnes
Journal:  Adolescence       Date:  2001

9.  The social ecology of adolescent alcohol misuse.

Authors:  Susan T Ennett; Vangie A Foshee; Karl E Bauman; Andrea Hussong; Li Cai; Heathe Luz McNaughton Reyes; Robert Faris; John Hipp; Robert Durant
Journal:  Child Dev       Date:  2008 Nov-Dec

10.  Beyond the U-curve: the relationship between sport and alcohol, cigarette and cannabis use in adolescents.

Authors:  Patrick Peretti-Watel; François Beck; Stéphane Legleye
Journal:  Addiction       Date:  2002-06       Impact factor: 6.526

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  16 in total

1.  Determinants of waterpipe smoking initiation among school children in Irbid, Jordan: a 4-year longitudinal analysis.

Authors:  Karma McKelvey; Jennifer Attonito; Purnima Madhivanan; Rana Jaber; Qilong Yi; Fawaz Mzayek; Wasim Maziak
Journal:  Drug Alcohol Depend       Date:  2014-07-09       Impact factor: 4.492

2.  Content-driven analysis of an online community for smoking cessation: integration of qualitative techniques, automated text analysis, and affiliation networks.

Authors:  Sahiti Myneni; Kayo Fujimoto; Nathan Cobb; Trevor Cohen
Journal:  Am J Public Health       Date:  2015-04-16       Impact factor: 9.308

3.  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

Review 4.  Exercise as a novel treatment for drug addiction: a neurobiological and stage-dependent hypothesis.

Authors:  Wendy J Lynch; Alexis B Peterson; Victoria Sanchez; Jean Abel; Mark A Smith
Journal:  Neurosci Biobehav Rev       Date:  2013-06-24       Impact factor: 8.989

5.  Social network influences on adolescent substance use: disentangling structural equivalence from cohesion.

Authors:  Kayo Fujimoto; Thomas W Valente
Journal:  Soc Sci Med       Date:  2012-03-13       Impact factor: 4.634

6.  Peer influence and context: the interdependence of friendship groups, schoolmates and network density in predicting substance use.

Authors:  Jean Marie McGloin; Christopher J Sullivan; Kyle J Thomas
Journal:  J Youth Adolesc       Date:  2014-04-11

7.  Seeking and receiving social support on Facebook for surgery.

Authors:  Matthew A Davis; Denise L Anthony; Scott D Pauls
Journal:  Soc Sci Med       Date:  2015-02-25       Impact factor: 4.634

8.  Social Network Factors and Addictive Behaviors among College Students.

Authors:  Dipali Venkataraman Rinker; Heather Krieger; Clayton Neighbors
Journal:  Curr Addict Rep       Date:  2016-10-14

9.  Venue-based affiliation networks and HIV risk-taking behavior among male sex workers.

Authors:  Kayo Fujimoto; Mark L Williams; Michael W Ross
Journal:  Sex Transm Dis       Date:  2013-06       Impact factor: 2.830

10.  Alcohol peer influence of participating in organized school activities: a network approach.

Authors:  Kayo Fujimoto; Thomas W Valente
Journal:  Health Psychol       Date:  2012-08-27       Impact factor: 4.267

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