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在肯尼亚基苏木,对有感染艾滋病毒风险的男性进行性行为或“性风险倾向”的量化。

Scaling sexual behavior or "sexual risk propensity" among men at risk for HIV in Kisumu, Kenya.

机构信息

Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL 60612, USA.

出版信息

AIDS Behav. 2010 Feb;14(1):162-72. doi: 10.1007/s10461-008-9423-z. Epub 2008 Jul 24.

Abstract

We present a scale to measure sexual risk behavior or "sexual risk propensity" to evaluate risk compensation among men engaged in a randomized clinical trial of male circumcision. This statistical approach can be used to represent each respondent's level of sexual risk behavior as the sum of his responses on multiple dichotomous and rating scale (i.e. ordinal) items. This summary "score" can be used to summarize information on many sexual behaviors or to evaluate changes in sexual behavior with respect to an intervention. Our 18 item scale demonstrated very good reliability (Cronbach's alpha of 0.87) and produced a logical, unidimensional continuum to represent sexual risk behavior. We found no evidence of differential item function at different time points (except for reporting a concurrent partners when comparing 6 and 12 month follow-up visits) or with respect to the language with which the instrument was administered. Further, we established criterion validity by demonstrating a statistically significant association between the risk scale and the acquisition of incident sexually transmitted infections (STIs) at the 6 month follow-up and HIV at the 12 month follow-up visits. This method has broad applicability to evaluate sexual risk behavior in the context of other HIV and STI prevention interventions (e.g. microbicide or vaccine trials), or in response to treatment provision (e.g., anti-retroviral therapy).

摘要

我们提出了一个衡量性行为风险的量表,或称为“性行为风险倾向”,以评估参与男性包皮环切随机临床试验的男性中的风险补偿。这种统计方法可用于表示每个受访者的性行为风险水平,即他对多个二分和评分量表(即有序)项目的回答总和。这个综合“得分”可用于总结许多性行为的信息,或评估干预措施对性行为的变化。我们的 18 项量表表现出非常好的可靠性(Cronbach's alpha 为 0.87),并产生了一个逻辑的、单一维度的连续体来表示性行为风险。我们没有发现不同时间点(除了在比较 6 个月和 12 个月随访时报告同时发生的性伴侣时)或测量工具语言方面的项目功能差异的证据。此外,我们通过证明风险量表与 6 个月随访时新发生的性传播感染(STIs)和 12 个月随访时 HIV 之间存在统计学显著关联,建立了标准有效性。这种方法具有广泛的适用性,可以在其他 HIV 和 STI 预防干预措施(如杀微生物剂或疫苗试验)的背景下评估性行为风险,或对治疗提供(如抗逆转录病毒治疗)做出反应。

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