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Improving safer sex measures through the inclusion of relationship and partner characteristics.

机译:通过包含关系和伴侣特征,改善安全性行为的措施。

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摘要

This article describes the development of a safer sex algorithm, which considers the characteristics of a woman's relationship and the HIV risk profile of herself and her primary partner. A sample of 306 low-income, predominantly African American women was recruited to participate in a study of the effectiveness of a sexual health seminar. These women were interviewed three times, at one month prior to seminar administration, three months after the seminar and again nine months after the seminar. Data from these women indicate that using an algorithm that considers the probability of HIV transmission between partners decreases the measured prevalence of unsafe sex in this population by about 17% and lowers the estimate of the average number of unsafe incidents by about four incidents in three months. The algorithm results in measures with adequate levels of temporal stability, which are similar to the more commonly used measure, vaginal or anal intercourse without a condom.
机译:本文介绍了一种更安全的性算法的开发过程,该算法考虑了女性关系的特征以及她和她的主要伴侣的HIV风险特征。招募了306名主要是非裔美国妇女的低收入样本,以参加性健康研讨会的有效性研究。这些妇女在研讨会管理之前的一个月,研讨会之后的三个月和研讨会之后的九个月进行了三次访谈。来自这些女性的数据表明,使用一种算法,该算法考虑了伴侣之间艾滋病毒的传播可能性,可使该人群中测得的不安全性行为的患病率降低约17%,并使三个月中不安全事件的平均数估计值降低约四次。该算法产生的测量结果具有足够的时间稳定性,类似于更常用的测量方法,无安全套的阴道或肛门性交。

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