TY -非盟的年轻,林赛E AU - Tang AU - Nan,杰克李沛Yuanfeixue PY - 2022 DA - 2022/10/20 TI -社会媒体通信和网络相关的艾滋病毒感染和传播的风险在黑人的性少数男人:横断面数字流行病学研究乔- Res JMIR形式SP - e37982六世- 6 - 10 KW -艾滋病毒监测KW -艾滋病毒预防KW -数码流行病学KW -社会媒体KW -社交网络KW -性少数男性KW -与男性发生性关系的男性AB背景:在美国，艾滋病毒不成比例地影响黑人顺性别性少数男性(BSMM)。尽管流行病学和行为监测对于确定BSMM存在艾滋病毒感染和传播风险是不可或缺的，但过度依赖自我报告数据、无法观察社会背景以及忽视对卫生保健系统参与有限的人群限制了其有效性。利用社交媒体数据的数字流行病学方法提供了一个克服这些限制的机会，即在有机环境中被动地观察表明健康风险但难以捕捉的活动、信仰、行为和情绪。目的:这项研究的主要目的是确定Facebook交流和网络的特征是否与艾滋病毒感染和传播风险的生物学、行为和心理指标相关。方法:从居住在芝加哥的18至35岁的BSMM (N=310)中收集Facebook和调查数据。参与者的Facebook帖子使用4个与BSMM中艾滋病毒保护和风险相关的文化定制主题词典进行了描述(性健康;物质使用;性行为;舞厅文化，一个突出的亚文化女同性恋，男同性恋，双性恋，变性人，和酷儿社区的有色人种)。 Social network methods were used to capture structural features of BSMM’s Facebook friendships (centrality, brokerage, and local clustering) and Facebook group affiliations. Multivariable regressions revealed relationships between these Facebook features and 5 ground truth indicators of HIV infection and transmission risk (sexually transmitted infection incidence, condomless sex, sex drug use, biomedical prevention, and depression). Results: Although analysis of participants’ Facebook posts revealed that HIV-related topics occupied a small portion of the total messages posted by each participant, significant associations were found between the following HIV risk indicators and Facebook features: Condomless sex, including communication about sexual health (odds ratio [OR] 1.58, 95% CI 1.09-2.29), ballroom culture (OR 0.76, 95% CI 0.63-0.93), and friendship centrality (OR 0.69, 95% CI 0.52-0.92); Sex drug use, including communication about substance use (OR 1.81, 95% CI 1.17-2.79) and friendship centrality (OR 0.73, 95% CI 0.55-0.96) and brokerage (OR 0.71, 95% CI 0.51-0.99); Biomedical prevention, including communication about ballroom culture (OR 0.06, 95% CI 0.01-0.71); and Depression, including communication about sexual health (β=–0.72, 95% CI −1.42 to −0.02), ballroom culture (β=.80, 95% CI 0.27-1.34), friendship centrality (β=−0.90, 95% CI −1.60 to −0.21), and Facebook group affiliations (β=.84, 95% CI 0.25-1.43). Facebook features provided no significant explanatory value for sexually transmitted infection incidence. Conclusions: Finding innovative strategies to detect BSMM at risk of contracting or transmitting HIV is critical to eliminating HIV disparities in this community. The findings suggest that social media data enable passive observance of social and communicative contexts that would otherwise go undetected using traditional HIV surveillance methods. As such, social media data are promising complements to more traditional data sources. SN - 2561-326X UR - https://formative.www.mybigtv.com/2022/10/e37982 UR - https://doi.org/10.2196/37982 UR - http://www.ncbi.nlm.nih.gov/pubmed/36264617 DO - 10.2196/37982 ID - info:doi/10.2196/37982 ER -