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Latent class analysis of a syndemic of risk factors on HIV testing among black men

机译：黑人艾滋病毒检测危险因素思考的潜在阶级分析

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摘要

Syndemic methodology has been employed in several studies of HIV-related outcomes affecting Black men who have sex with men (BMSM) and rarely in Black heterosexual men. In contrast to the most common method for assessing syndemics, the use of a syndemic component index, latent class analysis can identify unique combinations of risk factors that may form a syndemic. Analyzing a primarily heterosexual sample of 1,786 Black men from the 2015 Behavioral Risk Factor Surveillance System (BRFSS), we used a 4 latent class model based on depression diagnosis, poverty, and healthcare access to predict ever having been HIV tested. Class 1 was characterized by low proportions of all the risk factors. Class 2 had relatively high healthcare barriers, being the most likely to not have a personal doctor (.8175) and the most likely to have no routine checkup in the past year (.6327) but had relatively low depression diagnosis and poverty. Class 3 had relatively high poverty (.8853), but generally low barriers to healthcare access. Class 4 was characterized by high proportions of all the risk factors. Using log-binomial regression models, there was a significantly lower prevalence of ever having been HIV tested among class 3 (PR = 0.69, 95% CI 0.49, 0.98) and class 4 (PR = 0.49, 95% CI 0.28, 0.84) compared to class 1. When adjusting for education, age, and marital status, the associations were attenuated but still significant for class 3 (aPR = 0.71, 95% CI 0.52, 0.96) and class 4 (aPR = 0.60, 95% CI 0.46, 0.78). Latent class analysis may better serve syndemic research aims in understanding HIV-related outcomes among high-risk populations. Future research using this method to evaluate HIV testing outcomes among BMSM is recommended.
机译：对艾滋病毒相关成果的几项研究已经采用了对艾滋病毒相关结果的研究，影响了与男性（BMSM）发生性关系的黑人，并且很少在黑人异性恋男性中。与评估综合症的最常见方法相比，使用了同步分量指标，潜在课程分析可以识别可能形成对象的风险因素的独特组合。从2015年行为危险因素监测系统（BRFSS）中分析了1,786名黑人男性的主要异性恋样本，我们使用了一个基于抑郁诊断，贫困和医疗机会的4个潜在类模型，以预测艾滋病毒检测。第1类的特点是所有风险因素的低比例。 2级医疗保健障碍具有相对较高的医疗障碍，最有可能没有个人医生（.8175），并且在过去的一年中最有可能没有常规检查（.6327），但抑郁症诊断和贫困相对较低。第3级贫困人口（.8853），但通常是医疗保健机会的低障碍。 4类的特点是所有风险因素的高比例。使用Log-Xinomial回归模型，在第3类中测试了HIV的患病率显着降低了（PR = 0.69,95％CI 0.49,0.98）和4级（PR = 0.49,95％CI 0.28,0.84）比较到课堂1.调整教育，年龄和婚姻状况时，联想仍然衰减，但仍为3级（APR = 0.71,95％CI 0.52,0.96）和4级（APR = 0.60,95％CI 0.46， 0.78）。潜在的阶级分析可能更好地为学生研究旨在了解高风险群体中的艾滋病毒相关结果。建议使用这种方法评估BMSM中HIV测试结果的未来研究。

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  • 来源
    《AIDS care.》 |2019年第2期|共8页
  • 作者

    Turpin Rodman E.; Slopen Natalie; Chen Shuo; Boekeloo Bradley; Dallal Cher; Dyer Typhanye;

  • 作者单位

    Univ Maryland Sch Publ Hlth Dept Epidemiol &

    Biostat 4200 Valley Dr 2242 College Pk MD 20742;

    Univ Maryland Sch Publ Hlth Dept Epidemiol &

    Biostat 4200 Valley Dr 2242 College Pk MD 20742;

    Univ Maryland Sch Med Dept Epidemiol &

    Publ Hlth Baltimore MD 21201 USA;

    Univ Maryland Sch Publ Hlth Dept Behav &

    Community Hlth College Pk MD 20742 USA;

    Univ Maryland Sch Publ Hlth Dept Epidemiol &

    Biostat 4200 Valley Dr 2242 College Pk MD 20742;

    Univ Maryland Sch Publ Hlth Dept Epidemiol &

    Biostat 4200 Valley Dr 2242 College Pk MD 20742;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 传染病;
  • 关键词

    LCA; syndemic; HIV; testing; black;

    机译：LCA;对象;艾滋病毒;测试;黑色;

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