首页> 外文学位 >Motivation for Substance Use, Venue of Sexual Encounter, and Sexual Risk Behavior among Men who Have Sex with Men (MSM) in the Multicenter AIDS Cohort Study (MACS): Factor Analysis, and Global vs. Event-Level Generalized Linear Mixed Model (GLMM) Assessment Approach.
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Motivation for Substance Use, Venue of Sexual Encounter, and Sexual Risk Behavior among Men who Have Sex with Men (MSM) in the Multicenter AIDS Cohort Study (MACS): Factor Analysis, and Global vs. Event-Level Generalized Linear Mixed Model (GLMM) Assessment Approach.

机译:多中心艾滋病队列研究(MACS)中男男性接触者的物质使用动机,性遭遇场所和性风险行为:因素分析以及全球性与事件级广义线性混合模型(GLMM) )评估方法。

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摘要

We use factor analysis to explore motivations for substance use before and/or during sexual activity in order to identify underlying structure in response types. The sample included 1°, 2°, and 3° motivation responses of 1,012 seropositive and 1,084 seronegative participants enrolled in the Multicenter AIDS Cohort Study (MACS) seen between 2006 and 2010. We found a single common factor for all alcohol and substance use combinations that combines the social and sexual domains. We also identified a second factor with four distinct loading patterns conditional on the alcohol or substance combination used. While there are strong sexual components for each, the underlying structure is complex, and also includes aspects of the social and personal domains. These underlying motivational structures are important in understanding why men engage in substance use in the context of sex, and may help identify men who participate in high-risk sexual behavior.;We simultaneously modeled between-subject and within-subject variability using Generalized Mixed Linear Models (GLMMs) to explore the role of key "person variables" (HIV serostatus, sexual sensation seeking, and partner type) specific to the venue of sexual encounter in the association between substance use and sexual risk in the Multicenter AIDS Cohort Study (MACS). GLMMs were fit for each of three venues (Internet, bars, and bathhouses) using data from 1,012 seropositive and 1,084 seronegative participants seen between 2006 and 2010. We were able to show that venue-specific measurements of HIV serostatus, partner type, and sexual sensation seeking (SSS) are important in understanding the relationship between substance use and sexual risk, and may help explain the absence of consistent main effects seen in correlational or experimental studies. These person variables may aid the development of multivariate theoretical models that better fit substance use and sexual risk behavior associational data.;We utilize the multiple measurement approaches available in the Multicenter AIDS Cohort Study (MACS) to build Generalized Linear Mixed Models (GLMMs) describing the association of substance use and sexual risk measured at the global level, and compare results to our previously published work using a venue-specific assessment approach. GLMMs were used to simultaneously model between-subject and within-subject variability in sexual risk behaviors (HIV serostatus, sexual sensation seeking, partner type, and venue of sexual encounter) among 1,012 seropositive and 1,084 seronegative participants seen between 2006 and 2010. All alcohol and drug use combinations were associated with having a higher numbers of unprotected anal intercourse (UAI) partners since last visit, regardless of venue of sexual encounter, when measured at the global level. These results reflect those from a venue-specific analyses of substance use and sexual risk conducted in the same cohort. While the global assessment approach used here does not permits causal interpretation of findings, we argue that establishing causality may not be a necessary condition for identifying the underlying person variables that confound the association between substance use and sexual risk, nor the utility of these variables in designing and implementing more tailored interventions.
机译:我们使用因素分析来探索性活动之前和/或期间进行物质使用的动机,以便确定反应类型的潜在结构。该样本包括2006年至2010年间参加的多中心艾滋病队列研究(MACS)的1,012名血清阳性和1,048名血清阴性参与者的1°,2°和3°动机反应。我们发现所有酒精和药物使用组合均存在一个共同因素结合了社交和性领域。我们还确定了第二个因素,该因素取决于所使用的酒精或物质组合的四种不同的负载模式。尽管每个人都有很强的性欲成分,但其​​基本结构却很复杂,还包括社会和个人领域的各个方面。这些潜在的动机结构对于理解男性为何在性行为中从事物质使用非常重要,并且可能有助于识别参与高风险性行为的男性。;我们同时使用广义混合线性模型对受试者之间和受试者内部的变异性进行建模在多中心艾滋病队列研究(MACS)中,探讨特定于性遭遇地点的关键“人变量”(HIV血清状态,寻求性感觉和伴侣类型)的作用的模型(GLMM) )。 GLMM适用于三个场所(互联网,酒吧和浴室)中的每一个,使用了2006年至2010年期间1,012位血清阳性和1,084位血清阴性参与者的数据。我们能够显示针对特定场所的HIV血清状况,伴侣类型和性行为的测量寻求感觉(SSS)对于理解物质使用与性风险之间的关系很重要,并且可能有助于解释在相关研究或实验研究中缺乏一致的主要作用。这些人变量可能有助于建立更适合物质使用和性危险行为关联数据的多元理论模型。;我们利用多中心艾滋病队列研究(MACS)中可用的多种测量方法来构建描述以下内容的广义线性混合模型(GLMM):在全球范围内衡量药物使用与性风险之间的关联,并使用针对特定场所的评估方法将结果与我们之前发表的工作进行比较。 GLMM用于同时模拟2006年至2010年间1,012位血清阳性和1,084位血清阴性参与者中性风险行为(HIV血清状态,性感觉寻求,伴侣类型和性接触地点)的受试者间差异。自全球访问以来,无论性接触的地点如何,自上次访问以来,无论是性接触的地点如何,毒品和药物使用组合都与拥有更多的未保护肛门性交(UAI)伴侣有关。这些结果反映了在同一队列中针对特定场所进行的物质使用和性风险分析。尽管此处使用的全局评估方法不允许对发现进行因果分析,但我们认为建立因果关系可能不是识别混淆药物使用和性风险之间联系的基本人变量的必要条件,也不是确定这些变量在实验室中的效用的必要条件。设计和实施更具针对性的干预措施。

著录项

  • 作者

    Burrell, Earl Ryan.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Epidemiology.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 96 p.
  • 总页数 96
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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