Unprotected sex with their clients among low-paying female sex workers in southwest China.

Unprotected sex with their clients among low-paying female sex workers in southwest China.
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在中国西南部的低薪女性工作者中,与客户的无保护性别。

DOI:
10.1080/09540121.2012.726345
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发表时间:
2013
期刊:
影响因子:
1.7
通讯作者:
Stanton B
Stanton B
中科院分区:
医学4区
文献类型:
--
作者:
Zhang C;Li X;Hong Y;Zhou Y;Liu W;Stanton B

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几十年来,中国的艾滋病疫情一直在迅速增加。商业性行为在艾滋病毒的异性传播中起着关键作用。有限的研究表明,低收入女性性工作者(FSW)面临更高的艾滋病毒感染风险。低收入的性工作者通常在农村或欠发达地区的街头或小场所遇到嫖客,或者每次性服务收费很低。来自中国西南地区130个商业性场所/地点的720名低薪FSW被纳入数据分析。采用多元回归模型研究了无保护性行为与研究样本中一些探索性变量之间的关系。约33.9%和61.5%的低薪性工作者分别报告在最近一次性行为和最近一个月与客户发生无保护措施的性行为。控制混杂因素后,妇女的艾滋病毒知识,风险认知,警察逮捕的经验,和场地类型显着相关的低收入性工作者之间的无保护性行为。低收入的FSW感染艾滋病毒的风险高得惊人。为了遏制艾滋病在中国的流行,迫切需要制定艾滋病预防计划,以解决这一高危人群中个人和环境层面的危险因素。
China has been experiencing a rapid increase in the HIV epidemic for decades. Commercial sex plays a critical role in heterosexual transmission of HIV. Limited studies suggested that low-paying female sex workers (FSWs) faced a higher risk of HIV infection. Low-paying FSWs are women who usually encounter their clients on the street or small establishments in rural or less-developed areas, or who charge low fees for each sexual service. A total of 720 low-paying FSWs from 130 commercial sex venues/locations in southwest China were included in the data analysis. Multivariate regression models were employed to examine the associations of unprotected sex with a number of exploratory variables among the study sample. About 33.9% and 61.5% of low-paying FSWs reported unprotected sex with clients in the last sex act and in the last month, respectively. After controlling for confounders, women’s HIV knowledge, risk perception, experience of police arrest, and venue types were significantly associated with unprotected sex among low-paying FSWs. Low-paying FSWs are at an alarmingly high risk of HIV infection. HIV prevention programs are urgently needed to address risk factors posit in both individual and contextual levels among this most-at-risk population in order to curb the HIV epidemic in China.
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影响因子: 4.4
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