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The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports

Self-identification with peer crowds (jocks, popular kids, druggies, etc.) has an important influence on adolescent substance use behavior. However, little is known about the impact of the shared nature of crowd identification on different stages of adolescent drinking behavior, or the way crowd ide...

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Detalles Bibliográficos
Autores principales: FUJIMOTO, KAYO, WANG, PENG, VALENTE, THOMAS W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859688/
https://www.ncbi.nlm.nih.gov/pubmed/24349718
http://dx.doi.org/10.1017/nws.2013.7
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author FUJIMOTO, KAYO
WANG, PENG
VALENTE, THOMAS W.
author_facet FUJIMOTO, KAYO
WANG, PENG
VALENTE, THOMAS W.
author_sort FUJIMOTO, KAYO
collection PubMed
description Self-identification with peer crowds (jocks, popular kids, druggies, etc.) has an important influence on adolescent substance use behavior. However, little is known about the impact of the shared nature of crowd identification on different stages of adolescent drinking behavior, or the way crowd identification interacts with participation in school-sponsored sports activities. This study examines drinking influences from (1) peers with shared crowd identities, and (2) peers who jointly participate in organized sports at their school (activity members). This study introduces a new network analytic approach that can disentangle the effects of crowd identification and sports participation on individual behavior. Using survey data from adolescents in five high schools in a predominantly Hispanic/Latino district (N = 1,707), this paper examines the association between social influences and each stage of drinking behavior (intention to drink, lifetime, past-month, and binge drinking) by conducting an ordinal regression analysis. The results show that both shared identities and joint participation were associated with all stages of drinking, controlling for friends' influence. Additionally, shared identification overlapped with joint participation was associated with more frequent drinking. Related policy implications are discussed.
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spelling pubmed-38596882013-12-11 The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports FUJIMOTO, KAYO WANG, PENG VALENTE, THOMAS W. Netw Sci (Camb Univ Press) Research Article Self-identification with peer crowds (jocks, popular kids, druggies, etc.) has an important influence on adolescent substance use behavior. However, little is known about the impact of the shared nature of crowd identification on different stages of adolescent drinking behavior, or the way crowd identification interacts with participation in school-sponsored sports activities. This study examines drinking influences from (1) peers with shared crowd identities, and (2) peers who jointly participate in organized sports at their school (activity members). This study introduces a new network analytic approach that can disentangle the effects of crowd identification and sports participation on individual behavior. Using survey data from adolescents in five high schools in a predominantly Hispanic/Latino district (N = 1,707), this paper examines the association between social influences and each stage of drinking behavior (intention to drink, lifetime, past-month, and binge drinking) by conducting an ordinal regression analysis. The results show that both shared identities and joint participation were associated with all stages of drinking, controlling for friends' influence. Additionally, shared identification overlapped with joint participation was associated with more frequent drinking. Related policy implications are discussed. Cambridge University Press 2013-08 /pmc/articles/PMC3859688/ /pubmed/24349718 http://dx.doi.org/10.1017/nws.2013.7 Text en © Cambridge University Press 2013 The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/by-nc-sa/3.0/>. The written permission of Cambridge University Press must be obtained for commercial re-use.
spellingShingle Research Article
FUJIMOTO, KAYO
WANG, PENG
VALENTE, THOMAS W.
The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports
title The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports
title_full The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports
title_fullStr The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports
title_full_unstemmed The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports
title_short The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports
title_sort decomposed affiliation exposure model: a network approach to segregating peer influences from crowds and organized sports
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859688/
https://www.ncbi.nlm.nih.gov/pubmed/24349718
http://dx.doi.org/10.1017/nws.2013.7
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