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Measuring Transitions in Sexual Risk Among Men Who Have Sex With Men: The Novel Use of Latent Class and Latent Transition Analysis in HIV Sentinel Surveillance

机译:衡量与男性发生性关系的男性的性风险的过渡:艾滋病哨兵监测中的潜在阶级和潜在过渡分析的新颖利用

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摘要

New combination human acquired deficiency (HIV) prevention strategies that include biomedical and primary prevention approaches add complexity to the task of measuring sexual risk. Latent transition models are beneficial for understanding complex phenomena; therefore, we trialed the application of latent class and latent transition models to HIV surveillance data. Our aims were to identify sexual risk states and model individuals' transitions between states. A total of 4,685 HIV-negative men who have sex with men (MSM) completed behavioral questionnaires alongside tests for HIV and sexually transmissible infections at one of 2 Melbourne, Victoria, Australia, general practices (2007-2013). We found 4 distinct classes of sexual risk, which we labeled "monogamous" (n = 1,224), "risk minimizer" ( n = 1,443), "risk potential" ( n = 1,335), and "risk taker" ( n = 683). A positive syphilis, gonorrhea, or chlamydia test was significantly associated with class membership. Among a subset of 516 MSM who had at least 3 clinic visits, there was general stability across risk classes; MSM had on average a 0.70 (i.e., 70%) probability of remaining in the same class between visits 1 and 2 and between visits 2 and 3. Monogamous MSM were one exception; the probability of remaining in the monogamous class was 0.51 between visits 1 and 2. Latent transition analyses identified unobserved risk patterns in surveillance data, characterized high-( risk MSM, and quantified transitions over time.
机译:新的组合人类收购缺陷(艾滋病毒)预防策略,包括生物医学和初级预防方法为衡量性风险的任务增添了复杂性。潜在过渡模型有利于了解复杂现象;因此,我们试验潜在阶级和潜在过渡模型的应用到艾滋病毒监测数据。我们的目标是识别国家之间的性风险状态和模型个人的过渡。共有4,685名艾滋病毒负面的男性与男人(MSM)发生性关系(MSM)完成了行为调查问卷,与2墨尔本,维多利亚,澳大利亚一般实践(2007-2013)的艾滋病病毒和性传播感染的试验。我们发现了4个不同的性风险类,我们标记为“单一的”(n = 1,224),“风险最小化器”(n = 1,443),“风险潜力”(n = 1,335)和“风险接受者”(n = 683 )。阳性梅毒,淋病或衣原体测试与班级成员显着相关。在至少有3个诊所访问的516名MSM的子集中,风险课程​​中的一般稳定性; MSM平均平均为0.70(即70%)在访问1和2之间留在同一类中的概率,并且访问2和3.单一的MSM是一个例外;访问中剩余的概率为0.51,在访问1和2之间。潜在转换分析在监测数据中确定了不观察室风险模式,其特征在于高(风险MSM,随着时间的推移量化过渡。

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