Event-level correlates of substance use, violence, and HIV risk behavior

描述（由申请人提供）：以前的研究记录了暴力、药物使用和艾滋病毒风险之间的关联，主要依赖于这些事件的全球频率测量。暴力和药物使用是否与艾滋病毒风险行为在时间上密切相关，对于理解艾滋病毒的决定因素和制定有效的艾滋病毒预防干预措施具有重要意义。事件级数据的分析可以揭示艾滋病毒风险的潜在决定因素是否与特定的风险行为实例具有暂时的近似事件级关联，还是与从事风险行为的一般倾向具有个人水平的关联。拟议的二级分析研究将评估近期有刑事司法系统介入的艾滋病毒感染风险妇女的性风险行为、物质使用和暴力的个人水平和事件水平相关性（n=530）。作为这项艾滋病毒和暴力干预研究（R01DA012572）的一部分，使用时间轴跟踪方法在四个不同的时间点收集了30天内关于物质使用（酒精使用、药物使用、注射和共用针头）、性行为（性交类型、避孕套使用、伴侣类型、性交换和强迫性行为）和暴力经历（与施暴者的关系以及受害者和施暴者的物质使用）的数据。混合模型将用于描述物质使用、性危险行为和暴力之间的事件级和个人级关联。将使用对关键事件数据的进一步分析来证实这些发现。

DESCRIPTION (provided by applicant): Previous studies documenting associations among violence, substance use, and HIV risk have predominantly relied upon global frequency measures of these events. Whether violence and substance use occur in close temporal proximity with HIV risk behavior has important implications for understanding the determinants of HIV and for the developing effective HIV prevention interventions. The analysis of event-level data can reveal whether potential determinants of HIV risk have a temporally-proximate event-level association with specific instances of risk behavior or have a person-level association with general propensity to engage in risk behavior. The proposed secondary analysis research will evaluate person-level and event-level correlates of sexual risk behavior, substance use, and violence among women at risk for HIV who had recent criminal justice system involvement (n=530). As part of this HIV and violence intervention study (R01DA012572), the Timeline Followback method was used to collect data over 30 days at four different time points on substance use (alcohol use, drug use, injecting, and needle sharing), sexual behavior (type of Intercourse, condom use, partner type, sex exchange, and coerced sex), and experiences of violence (relationship with perpetrator and substance use by victim and perpetrator). Mixed-models will be used to characterize the event-level and person-level associations among substance use, sexual risk behavior, and violence. Additional analyses of critical-incident data will be used to corroborate these findings.