Transactional Sex among Men and Women in the South at High Risk for HIV and Other STIs

Transactional Sex among Men and Women in the South at High Risk for HIV and Other STIs
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南方艾滋病毒和其他性传播感染高危男女中的性交易行为

DOI:
10.1007/s11524-009-9368-1
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发表时间:
2009-07-01
影响因子:
6.6
通讯作者:
Wechsberg, Wendee M.
Wechsberg, Wendee M.
中科院分区:
医学2区
文献类型:
--
作者:
Bobashev, Georgiy V.;Zule, William A.;Wechsberg, Wendee M.

文献摘要

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性交易是指出售性(用性换取金钱、毒品、食物、住所或其他物品)或购买性(用金钱、毒品、食物、住所或其他物品换取性)。这些活动与各种人群和环境中艾滋病毒和其他性传播感染的较高风险有关。本文研究了吸毒者、男男性行为者以及这些群体的性伴侣的大量样本中买卖性行为的相关性。 2005 年至 2008 年间,采用受访者驱动抽样方法,在北卡罗来纳州的两个城市县和两个农村县招募了参与者。我们使用多重逻辑回归来检查男性和女性买卖性行为的不同模型。此外,我们使用结构方程模型估计了逻辑回归模型中自变量与交易性之间的直接和间接关联。分析显示,与女性买卖性行为相关的因素包括无家可归、使用兴奋剂、双性恋行为和邻里关系混乱。种族之间也存在显着差异。对于男性来说,与买卖性行为相关的因素包括无家可归、双性恋行为以及没有恋爱关系。尽管邻里暴力和骚乱在与结果的双变量关联中显示出显着性,但这些关联在结构方程模型中消失了。
Transactional sex refers to selling sex (exchanging sex for money, drugs, food, shelter, or other items) or purchasing sex (exchanging money, drugs, food, shelter, or other items for sex). These activities have been associated with a higher risk for HIV and other sexually transmitted infections in a variety of populations and settings. This paper examines correlates of purchasing and selling sex in a large sample of drug users, men who have sex with men, and sex Partners of these groups. Using respondent-driven sampling, participants were recruited between 2005 and 2008 in two urban and two rural counties in North Carolina. We used multiple logistic regressions to examine separate models for selling and purchasing sex in men and women. In addition, we estimated direct and indirect associations among independent variables in the logistic regression models and transactional sex using structural equation models. The analysis shows that factors associated with women selling and buying sex include being homeless, use of stimulants, bisexual behavior, and neighborhood disorder. There was also a significant difference by race. For men, the factors associated with selling and buying sex include being homeless, bisexual behavior, and not being in a relationship. Although neighborhood violence and disorder show significance in bivariate associations with the outcome, these associations disappear in the structural equation models.