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US adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and Add Health data

Background. Documented trends in health-related risk behaviors among US adolescents have remained high over time. Studies indicate relationships among mutual friends are a major influence on adolescents’ risky behaviors. Social Network Analysis (SNA) can help understand friendship ties affecting ind...

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Autores principales: Jeon, Kwon Chan, Goodson, Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493707/
https://www.ncbi.nlm.nih.gov/pubmed/26157622
http://dx.doi.org/10.7717/peerj.1052
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author Jeon, Kwon Chan
Goodson, Patricia
author_facet Jeon, Kwon Chan
Goodson, Patricia
author_sort Jeon, Kwon Chan
collection PubMed
description Background. Documented trends in health-related risk behaviors among US adolescents have remained high over time. Studies indicate relationships among mutual friends are a major influence on adolescents’ risky behaviors. Social Network Analysis (SNA) can help understand friendship ties affecting individual adolescents’ engagement in these behaviors. Moreover, a systematic literature review can synthesize findings from a range of studies using SNA, as well as assess these studies’ methodological quality. Review findings also can help health educators and promoters develop more effective programs. Objective. This review systematically examined studies of the influence of friendship networks on adolescents’ risk behaviors, which utilized SNA and the Add Health data (a nationally representative sample). Methods. We employed the Matrix Method to synthesize and evaluate 15 published studies that met our inclusion and exclusion criteria, retrieved from the Add Health website and 3 major databases (Medline, Eric, and PsycINFO). Moreover, we assigned each study a methodological quality score (MQS). Results. In all studies, friendship networks among adolescents promoted their risky behaviors, including drinking alcohol, smoking, sexual intercourse, and marijuana use. The average MQS was 4.6, an indicator of methodological rigor (scale: 1–9). Conclusion. Better understanding of risky behaviors influenced by friends can be useful for health educators and promoters, as programs targeting friendships might be more effective. Additionally, the overall MQ of these reviewed studies was good, as average scores fell above the scale’s mid-point.
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spelling pubmed-44937072015-07-08 US adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and Add Health data Jeon, Kwon Chan Goodson, Patricia PeerJ Global Health Background. Documented trends in health-related risk behaviors among US adolescents have remained high over time. Studies indicate relationships among mutual friends are a major influence on adolescents’ risky behaviors. Social Network Analysis (SNA) can help understand friendship ties affecting individual adolescents’ engagement in these behaviors. Moreover, a systematic literature review can synthesize findings from a range of studies using SNA, as well as assess these studies’ methodological quality. Review findings also can help health educators and promoters develop more effective programs. Objective. This review systematically examined studies of the influence of friendship networks on adolescents’ risk behaviors, which utilized SNA and the Add Health data (a nationally representative sample). Methods. We employed the Matrix Method to synthesize and evaluate 15 published studies that met our inclusion and exclusion criteria, retrieved from the Add Health website and 3 major databases (Medline, Eric, and PsycINFO). Moreover, we assigned each study a methodological quality score (MQS). Results. In all studies, friendship networks among adolescents promoted their risky behaviors, including drinking alcohol, smoking, sexual intercourse, and marijuana use. The average MQS was 4.6, an indicator of methodological rigor (scale: 1–9). Conclusion. Better understanding of risky behaviors influenced by friends can be useful for health educators and promoters, as programs targeting friendships might be more effective. Additionally, the overall MQ of these reviewed studies was good, as average scores fell above the scale’s mid-point. PeerJ Inc. 2015-06-30 /pmc/articles/PMC4493707/ /pubmed/26157622 http://dx.doi.org/10.7717/peerj.1052 Text en © 2015 Jeon and Goodson http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Global Health
Jeon, Kwon Chan
Goodson, Patricia
US adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and Add Health data
title US adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and Add Health data
title_full US adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and Add Health data
title_fullStr US adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and Add Health data
title_full_unstemmed US adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and Add Health data
title_short US adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and Add Health data
title_sort us adolescents’ friendship networks and health risk behaviors: a systematic review of studies using social network analysis and add health data
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493707/
https://www.ncbi.nlm.nih.gov/pubmed/26157622
http://dx.doi.org/10.7717/peerj.1052
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