Department of Medicine, University of Chicago, 5837 S. Maryland Avenue, Chicago, IL, 60637, USA.
Department of Medicine, Chicago Center for HIV Elimination, University of Chicago, Chicago, USA.
AIDS Behav. 2018 Oct;22(10):3324-3334. doi: 10.1007/s10461-018-2087-4.
Online social networking sites (SNS)-the Internet-based platforms that enable connection and communication between users-are increasingly salient social environments for young adults and, consequently, offer tremendous opportunity for HIV behavioral research and intervention among vulnerable populations like young men who have sex with men (YMSM). Drawing from a cohort of 525 young Black MSM (YBMSM) living in Chicago, IL, USA April 2014-May 2015, we conducted social network analysis, estimating an exponential random graph model (ERGM) to model YBMSM's group affiliations on Facebook in relation to their sex behaviors and HIV prevention traits. A group's privacy setting-public, closed, or secret-was also modeled as a potential moderator of that relationship. Findings reveal that HIV positive individuals were more likely to affiliate with Facebook groups, while those who engaged in group sex were less likely to do so. When it came to the privacy of groups, we learned that HIV positive individuals tended not to belong to groups with greater privacy (e.g., closed and secret groups), while individuals who engaged in group sex and those who engaged in regular HIV testing were more likely to belong to those groups. Results also showed that individuals who engaged in condomless sex showed significant signs of clustering around the same set of groups. HIV positive individuals, on the other hand, were significantly less likely to demonstrate clustering. Implications for interventions and future research are discussed.
在线社交网络(SNS)——基于互联网的平台,使用户之间能够连接和交流——对于年轻成年人来说,它们是越来越重要的社交环境,因此,为在易感染人群(如男男性行为者)中开展 HIV 行为研究和干预提供了巨大的机会。本研究于 2014 年 4 月至 2015 年 5 月,在美国伊利诺伊州芝加哥市招募了 525 名年轻的黑人男男性行为者(YBMSM),我们进行了社会网络分析,使用指数随机图模型(ERGM)来模拟 YBMSM 在 Facebook 上的群体联系与其性行为和 HIV 预防特征之间的关系。还将群体的隐私设置(公开、封闭或秘密)建模为该关系的潜在调节因素。研究结果表明,HIV 阳性个体更有可能与 Facebook 群体建立联系,而那些进行群体性行为的个体则不太可能这样做。当涉及到群体的隐私时,我们了解到 HIV 阳性个体往往不会加入隐私程度较高的群体(例如,封闭和秘密群体),而进行群体性行为和定期进行 HIV 检测的个体则更有可能加入这些群体。结果还表明,进行无保护性行为的个体在同一组群体中表现出明显的聚类迹象。另一方面,HIV 阳性个体的聚类迹象则明显减少。讨论了干预措施和未来研究的意义。