Department of Sociology, Network Science Institute, Indiana University, Ballantine Hall 747, 1020 Kirkwood Ave., Bloomington, IN, 47405, USA.
Department of Sociology, Utah State University, 0730 Old Main Hill, Logan, UT, 84322-0730, USA.
Soc Sci Med. 2019 Mar;224:1-10. doi: 10.1016/j.socscimed.2019.01.044. Epub 2019 Jan 28.
Social influence is a key determinant of health behaviors and outcomes. Research in the social network tradition emphasizes social structural mechanisms like network content (i.e., the degree to which particular attitudes, attributes, or behaviors are present in the network) and social proximity (i.e., opportunities for social interaction). In contrast, psychologists are oriented toward the individual, identifying how personality traits like self-monitoring affect susceptibility to peer pressure. Here, we integrate social network and personality approaches, examining social influence on body size using surveys of 379 adults with dependent children. Our findings suggest that the association between social network body size composition and respondent BMI is contingent on both individual susceptibility to influence (i.e., high self-monitoring) and social proximity (i.e., opportunities for co-eating). These results indicate that individuals embedded in social networks bring unique sets of social skills and orientations to interactions, potentially influencing the flow of content across networks.
社会影响是健康行为和结果的关键决定因素。社会网络传统中的研究强调社会结构机制,如网络内容(即特定态度、属性或行为在网络中的存在程度)和社会接近度(即社交互动的机会)。相比之下,心理学家更关注个体,确定像自我监控这样的个性特征如何影响对同伴压力的易感性。在这里,我们整合了社会网络和个性方法,使用对 379 名有受抚养子女的成年人的调查,研究了社会对体型的影响。我们的研究结果表明,社会网络体型组成与受访者 BMI 之间的关联取决于个体对影响的易感性(即高自我监控)和社会接近度(即共同进食的机会)。这些结果表明,嵌入在社会网络中的个体在互动中带来了独特的社交技能和取向,这可能会影响网络内容的流动。