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个体和社区因素的作用:旧金山高危人群中的 HIV 感染风险。

The role of individual and neighborhood factors: HIV acquisition risk among high-risk populations in San Francisco.

机构信息

HIV Epidemiology, San Francisco Department of Public Health, 25 Van Ness, Suite 500, San Francisco, CA, 94102, USA,

出版信息

AIDS Behav. 2014 Feb;18(2):346-56. doi: 10.1007/s10461-013-0508-y.

Abstract

We examined socioeconomic status and social and sexual network factors and their relationship to HIV acquisition risk among HIV-negative Black MSM (BMSM), White MSM (WMSM) and transfemales (male to female transgenders). Geographic analysis examined residential patterns and neighborhood patterns of HIV prevalence in San Francisco. Factors associated with engaging in more episodes of potentially HIV serodiscordant unprotected receptive anal intercourse were analyzed. Transfemales and BMSM were more likely to live in areas of higher HIV prevalence and lower income compared to WMSM. BMSM and transfemales had lower socioeconomic scores (SES) scores compared to WMSM. BMSM were more likely to report serodiscordant partnerships and higher numbers of potentially serodiscordant unprotected sex acts. Decreasing individual SES did not predict serodiscordant partnerships in any group. Increasing neighborhood HIV prevalence predicted an increase in the number of potentially serodiscordant unprotected sex acts among transfemales and BMSM but only significantly so for transfemales. Prevention interventions must consider neighborhood HIV prevalence, and HIV prevalence in social/sexual networks, in addition to considering individual level behavior change or poverty reduction.

摘要

我们研究了社会经济地位以及社会和性网络因素,以及它们与 HIV 阴性的黑人男男性行为者(BMSM)、白人男男性行为者(WMSM)和跨性别女性(男变女跨性别者)获得 HIV 感染风险之间的关系。地理分析检查了旧金山的居住模式和 HIV 流行的社区模式。分析了与进行更多潜在 HIV 血清不一致的无保护接受性肛交有关的因素。与 WMSM 相比,跨性别女性和 BMSM 更有可能生活在 HIV 流行率较高和收入较低的地区。与 WMSM 相比,BMSM 和跨性别女性的社会经济地位(SES)评分较低。BMSM 更有可能报告血清不一致的伴侣关系,以及更多的潜在血清不一致的无保护性行为。在任何群体中,SES 的降低都不能预测血清不一致的伴侣关系。社区 HIV 流行率的增加预示着跨性别女性和 BMSM 中潜在血清不一致的无保护性行为次数的增加,但仅对跨性别女性有显著影响。预防干预措施必须考虑到社区 HIV 流行率以及社会/性网络中的 HIV 流行率,除了考虑个人层面的行为改变或减少贫困。

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