An actor-based model of social network influence on adolescent body size, screen time, and playing sports.

An actor-based model of social network influence on adolescent body size, screen time, and playing sports.
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DOI:
10.1371/journal.pone.0039795
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Luke A
Luke A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Shoham DA;Tong L;Lamberson PJ;Auchincloss AH;Zhang J;Dugas L;Kaufman JS;Cooper RS;Luke A

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最近的研究表明,肥胖可能会在社交网络中的个体之间“传染”。然而,使用传统的统计方法可能无法识别社会传染(影响),因为他们无法区分传染与同质性(个人选择与自己相似的朋友的倾向)或共享的环境影响。在本文中,我们将Snijders及其同事开发的基于随机行为者的模型(SABM)框架应用于青少年体重指数(BMI),屏幕时间和积极运动的数据。我们的主要假设是,社会对青少年的身体大小和相关行为的影响是独立的朋友选择。采用SABM,我们同时建模网络动态(基于同质性和网络结构特征的友谊选择)和社会影响。我们专注于全国青少年健康纵向研究(添加健康)中最大的2所学校,并通过分别检查2所学校网络(N = 624和1151)保持学校环境不变。  结果显示,在这两所学校的同质性对BMI的支持,但也为BMI的社会影响。两所学校在屏幕时间上都没有同质性的证据,而只有一所学校在从事积极的体育活动方面表现出同质性。然而,有证据表明,其中一所学校的屏幕时间受到了社会影响,两所学校都参加了积极的体育活动。这些结果表明,同性恋和社会影响是很重要的,在了解青少年肥胖的模式。干预工作应考虑到同龄人之间的相互影响,而不是孤立地对待“高危”青少年。
Recent studies suggest that obesity may be “contagious” between individuals in social networks. Social contagion (influence), however, may not be identifiable using traditional statistical approaches because they cannot distinguish contagion from homophily (the propensity for individuals to select friends who are similar to themselves) or from shared environmental influences. In this paper, we apply the stochastic actor-based model (SABM) framework developed by Snijders and colleagues to data on adolescent body mass index (BMI), screen time, and playing active sports. Our primary hypothesis was that social influences on adolescent body size and related behaviors are independent of friend selection. Employing the SABM, we simultaneously modeled network dynamics (friendship selection based on homophily and structural characteristics of the network) and social influence. We focused on the 2 largest schools in the National Longitudinal Study of Adolescent Health (Add Health) and held the school environment constant by examining the 2 school networks separately (N = 624 and 1151). Results show support in both schools for homophily on BMI, but also for social influence on BMI. There was no evidence of homophily on screen time in either school, while only one of the schools showed homophily on playing active sports. There was, however, evidence of social influence on screen time in one of the schools, and playing active sports in both schools. These results suggest that both homophily and social influence are important in understanding patterns of adolescent obesity. Intervention efforts should take into consideration peers’ influence on one another, rather than treating “high risk” adolescents in isolation.
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