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运用社会网络分析方法对不同种族和民族的青少年进行身体活动研究:实用案例研究。

Conducting Physical Activity Research on Racially and Ethnically Diverse Adolescents Using Social Network Analysis: Case Studies for Practical Use.

机构信息

School of Public Health, Texas A&M University, College Station, TX 77843, USA.

Robbins College of Health and Human Sciences, Baylor University, Waco, TX 76798, USA.

出版信息

Int J Environ Res Public Health. 2022 Sep 14;19(18):11545. doi: 10.3390/ijerph191811545.

DOI:10.3390/ijerph191811545
PMID:36141817
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9517360/
Abstract

Adolescent physical activity (PA) is significantly impacted by peer behaviors through peer influence, peer selection, and popularity. However, the scales for these social constructs may not fully capture the detailed social networks and mechanisms responsible for PA behavior changes. This level of detail and granularity can be quantified and analyzed through social network analysis (SNA). To demonstrate the variety, utility, and efficacy of SNA in adolescent PA research, this article aims to provide four case studies on the collection of social network and PA data on ethnically and racially diverse adolescents. Through case studies, this article provides tangible ways in which SNA can be used to evaluate social influences on PA behaviors. Case studies are presented on: (1) Youth Engagement in Sport-an egocentric analysis of middle school youth participation in an experiential sport program with 3- and 6-month follow-ups; (2) Summer care program networks-an egocentric and whole network longitudinal study of adolescents at summer care programs; (3) The Convoy method-a qualitative egocentric discussion activity with adolescents from on the Texas-Mexico border; and (4) A father-focused, family-centered health program-an egocentric experimental analysis of children participating in a health program. Data collection procedures are listed and example surveys are provided. Descriptive analyses are included, as are recommendations on further analysis techniques for each type of network data. Using SNA, researchers can understand social contexts in a more specific manner, better positioning interventions to alter such influences.

摘要

青少年的身体活动(PA)受到同伴行为的显著影响,包括同伴影响、同伴选择和受欢迎程度。然而,这些社交结构的量表可能无法完全捕捉到导致 PA 行为变化的详细社交网络和机制。通过社交网络分析(SNA)可以对这种详细程度和粒度进行量化和分析。为了展示 SNA 在青少年 PA 研究中的多样性、实用性和有效性,本文旨在提供四个关于收集不同种族和民族青少年社交网络和 PA 数据的案例研究。通过案例研究,本文提供了具体的方法,展示了 SNA 如何用于评估社交对 PA 行为的影响。案例研究包括:(1)青少年参与体验式运动项目的社交网络和 PA 研究——对一所中学青少年参与体验式运动项目的自反分析,随访时间为 3 个月和 6 个月;(2)暑期托管计划网络——对暑期托管计划中青少年的自反和全网络纵向研究;(3)护卫队方法——德克萨斯州-墨西哥边境青少年的自反性定性讨论活动;以及(4)以父亲为中心、以家庭为中心的健康计划——对参加健康计划的儿童进行的自反性实验分析。列出了数据收集程序,并提供了示例调查。包括描述性分析,并为每种类型的网络数据推荐了进一步的分析技术。通过使用 SNA,研究人员可以更具体地了解社交背景,更好地定位干预措施以改变这些影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28af/9517360/20ddab0cc05a/ijerph-19-11545-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28af/9517360/26ffafc18b6e/ijerph-19-11545-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28af/9517360/51bd3bd63c28/ijerph-19-11545-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28af/9517360/20ddab0cc05a/ijerph-19-11545-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28af/9517360/26ffafc18b6e/ijerph-19-11545-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28af/9517360/51bd3bd63c28/ijerph-19-11545-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28af/9517360/20ddab0cc05a/ijerph-19-11545-g003.jpg

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