男同性恋群体中的高危性行为：社交网络的影响。
High-risk sexual activity in the House and Ball community: influence of social networks.
机构信息
Sheree M. Schrager is with the Division of Adolescent Medicine, Children's Hospital Los Angeles, CA. Carl A. Latkin is with the Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD. George Weiss is with the Children's Center for Cancer and Blood Diseases, Children's Hospital Los Angeles. Katrina Kubicek and Michele D. Kipke are with the Community, Health Outcomes, and Intervention Research Program, the Saban Research Institute, Children's Hospital Los Angeles. Michele D. Kipke is also with the Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles.
出版信息
Am J Public Health. 2014 Feb;104(2):326-31. doi: 10.2105/AJPH.2013.301543. Epub 2013 Dec 12.
OBJECTIVES
We investigated the roles of House membership and the influence of social and sexual network members on the sexual risk behavior of men in the Los Angeles House and Ball community.
METHODS
From February 2009 to January 2010, male participants (n = 233) completed interviewer-assisted surveys during a House meeting or Ball event. We used logistic regression to model the effects of sexual network size, influence of sexual network members, House membership status, and their interactions on high-risk sex.
RESULTS
Significant predictors of high-risk sex included number of sexual partners in the nominated social network, multiethnicity, and previous diagnosis of sexually transmitted infection. House membership was protective against high-risk sex. Additionally, a 3-way interaction emerged between number of sexual partners in the network, influence, and network members' House membership.
CONCLUSIONS
Future research should assess network members' attitudes and behavior in detail to provide a greater understanding of the dynamics of social influence and to identify additional avenues for intervention.
目的
我们调查了 House 成员身份以及社交和性网络成员对洛杉矶 House 和 Ball 社区男性性行为风险的影响。
方法
2009 年 2 月至 2010 年 1 月，男性参与者（n=233）在 House 会议或 Ball 活动期间完成了访谈者辅助调查。我们使用逻辑回归模型对性网络规模、性网络成员的影响、House 成员身份及其相互作用对高危性行为的影响进行了建模。
结果
高危性行为的显著预测因素包括提名社交网络中的性伴侣数量、多种族和以前的性传播感染诊断。House 成员身份对高危性行为具有保护作用。此外，网络中的性伴侣数量、影响和网络成员的 House 成员身份之间出现了 3 -way 交互作用。
结论
未来的研究应详细评估网络成员的态度和行为，以更深入地了解社会影响的动态，并确定更多的干预途径。
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