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对非洲成年人中与医学注射及多个性伴侣相关的艾滋病毒感染风险因素分析证据的综述。

Review of evidence from risk factor analyses associating HIV infection in African adults with medical injections and multiple sexual partners.

作者信息

Gisselquist David, Potterat John J

出版信息

Int J STD AIDS. 2004 Apr;15(4):222-33. doi: 10.1258/095646204773557730.

Abstract

Studies of risk factors for human immunodeficiency virus (HIV) infections in sub-Saharan Africa present a wealth of evidence relevant to ongoing debates about the contributions of unsterile health care and sexual transmission to Africa's HIV epidemics. From studies which meet search criteria (n = 39) we calculate population attributable fractions (PAFs) for incident and prevalent HIV infections associated with exposure to medical injections and with having more than one sexual partner. Median and mean crude PAFs for injections for both incident and prevalent HIV exceed those for multiple partners. Evidence suggests that adjustments for reverse causation (people with HIV-related symptoms seeking injections) and confounding do not explain away the large PAFs for injections. Misreporting of sexual behaviour has an unknown impact on PAFs for multiple partners. However, most PAFs for incident HIV infections are from communities with low-growth epidemics; hence data about the most important risk factors fuelling high-growth epidemics are sparse. Empirical resolution of ongoing debates may be possible with the aid of future research-especially in high-growth epidemic settings-that investigates risks for HIV transmission through a full range of sexual and parenteral exposures with attention to reverse causation, confound, and quality of sexual behaviour data.

摘要

对撒哈拉以南非洲地区人类免疫缺陷病毒(HIV)感染风险因素的研究提供了大量证据,与当前关于不卫生的医疗保健和性传播对非洲HIV流行的影响的辩论相关。从符合搜索标准的研究(n = 39)中,我们计算了与接受医疗注射以及有多个性伴侣相关的新发和流行HIV感染的人群归因分数(PAF)。新发和流行HIV感染的注射相关粗PAF中位数和均值均超过多性伴相关的PAF。有证据表明,对反向因果关系(有HIV相关症状的人寻求注射)和混杂因素进行调整并不能消除注射相关的高PAF。性行为的误报对多性伴PAF的影响未知。然而,大多数新发HIV感染的PAF来自流行增长缓慢的社区;因此,关于推动高增长流行的最重要风险因素的数据很少。借助未来的研究,尤其是在高增长流行环境中的研究,对通过各种性接触和非肠道接触传播HIV的风险进行调查,并关注反向因果关系、混杂因素和性行为数据质量,可能会对当前的辩论进行实证解决。

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