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

描述（由申请人提供）：以前的研究记录暴力，物质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。暴力和物质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。对事件层面数据的分析可以揭示HIV风险的潜在决定因素是否与风险行为的特定实例具有时间上接近的事件层面关联，或者与从事风险行为的一般倾向具有个人层面关联。拟议的二次分析研究将评估个人层面和事件层面的相关性风险行为，物质使用和暴力的妇女在艾滋病毒的风险谁最近的刑事司法系统的参与（n=530）。作为艾滋病毒和暴力干预研究的一部分，（R01 DA 012572），使用时间轴随访方法在4个不同时间点收集30天内的物质使用数据（酒精使用、药物使用、注射和共用针头）、性行为（性交类型、安全套使用、伴侣类型、性交换和强迫性行为），暴力经历（与施暴者的关系以及受害者和施暴者使用药物）。混合模型将被用来描述物质使用，性风险行为和暴力之间的事件水平和个人水平的协会。对重大事件数据的进一步分析将用于证实这些调查结果。

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.