Phillips Gregory, Birkett Michelle, Kuhns Lisa, Hatchel Tyler, Garofalo Robert, Mustanski Brian
Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, 60611, IL, USA,
Arch Sex Behav. 2015 Oct;44(7):1773-86. doi: 10.1007/s10508-014-0459-z. Epub 2015 Jul 14.
The rising incidence of HIV infection among young men who have sex with men (YMSM) is a substantial public health concern. Traditional research on HIV among YMSM has focused largely on individual-level predictors and infrequently accounts for contextual or neighborhood-level factors such as ethnic composition and socioeconomic status. This study used neighborhood-level data from the US Census and other public sources, and individual-level data from a longitudinal cohort of YMSM in Chicago (Crew 450). Of the original 450 YMSM in the cohort, 376 reported living in Chicago (83.6 %) and were included in the analytic sample. A clustering approach was used to group the 77 community areas together by common characteristics, resulting in the identification of 11 distinct clusters. An unconditional model of individual HIV status indicated a significant amount of variance existed between neighborhood clusters (χ (2) = 21.66; p = 0.006). When individual-level variables were added to the model, only having an HIV-positive sex partner (OR = 6.41; CI 2.40, 17.1) and engaging in exchange sex in the past 6 months (OR = 3.25; 95 % CI 1.33, 7.93) were significant predictors of HIV status. Clusters with higher Walk Scores were less likely to contain HIV-positive individuals (OR = 0.94; 95 % CI 0.90, 0.98). Conversely, clusters with a larger proportion of vacant buildings were more likely to contain HIV-positive individuals (OR = 1.19; 95 % CI 1.07, 1.33). Future research among YMSM needs to investigate the mechanisms by which neighborhood of residence might influence engagement in risk behaviors or acquisition of HIV.
男男性行为者(YMSM)中艾滋病毒感染率的上升是一个重大的公共卫生问题。以往针对YMSM群体的艾滋病毒研究主要集中在个体层面的预测因素,很少考虑诸如种族构成和社会经济地位等背景或社区层面的因素。本研究使用了来自美国人口普查和其他公共来源的社区层面数据,以及来自芝加哥一个YMSM纵向队列(Crew 450)的个体层面数据。在该队列最初的450名YMSM中,376人报告居住在芝加哥(83.6%),并被纳入分析样本。采用聚类方法,根据共同特征将77个社区区域归为一组,最终确定了11个不同的聚类。个体艾滋病毒感染状况的无条件模型表明,社区聚类之间存在显著差异(χ(2)=21.66;p=0.006)。当将个体层面的变量添加到模型中时,只有拥有艾滋病毒阳性性伴侣(比值比=6.41;可信区间2.40,17.1)以及在过去6个月内从事性交易(比值比=3.25;95%可信区间1.33,7.93)是艾滋病毒感染状况的显著预测因素。步行分数较高的聚类中艾滋病毒阳性个体的比例较低(比值比=0.94;95%可信区间0.90,0.98)。相反,空置建筑比例较大的聚类中艾滋病毒阳性个体的比例较高(比值比=1.19;95%可信区间1.07,1.33)。未来针对YMSM群体的研究需要调查居住社区可能影响危险行为参与或艾滋病毒感染的机制。