Social Determinants Predicting Trajectories of HIV with Recent Latina Immigrants

这一拟议的基于社区的参与式研究子项目是我们的P20竞争性更新申请的一部分，该申请由NIMHD资助，位于佛罗里达国际大学（FIU）的美国拉丁美洲人药物使用和艾滋病研究中心（C-SALUD）。拟议的纵向研究包括4年一次的评估，最近的拉丁移民（N=600;年龄18-23）。通过与当地社区组织合作，我们的跨学科研究团队将：（1）阐明与文化相关的 责任的先行社会决定因素（2）确定二元依恋的调节作用（女儿-父亲，女儿-母亲，女儿-同龄人，女儿-浪漫伴侣） 不利的社会决定因素与艾滋病毒/艾滋病风险行为和SUS的早期成人轨迹之间的关系，（3）临床验证酒精加9种药物类，HIV-EIA和STD的实验室测试（唾液，尿液和血液）的结果，以及（4）根据所获得的结果（风险和弹性的拉丁筛查指数-LaSIRR）创建心理测量学上合理和文化相关的筛查工具， 可以用来识别最近的拉丁裔移民在高风险屈服于艾滋病毒/艾滋病和SUD。 纵向统计分析将捕捉变化过程和因果网络之间的动态系统相互作用，以阐明跨4年波的建模变量之间的相互作用。将对基线评估时获得的数据进行因子分析，以得出初步的LaSIRR，从而预测3次随访评估中的HIV和SUD结局。

This proposed community-based participatory research subproject is part of our P20 competitive renewal application of the NIMHD-funded Center for Substance Use and AIDS Research on Latinos in the United States (C-SALUD) at Florida International University (FIU). The proposed longitudinal study consists of 4-annual assessments of recent Latina immigrants (N=600; ages of 18-23). By partnering with local community-based organizations, our multi-disciplinary research team will: (1) elucidate culturally relevant antecedent social determinants of liability (consisting of individual, cultural, interpersonal and community/institutional determinants collectively referred to as social determinants) which predict HIV/AIDS risk behaviors (HIVR), concomitant substance use severity (SUS), HIV/AIDS diagnoses, substance use disorders (SUDs) and access to health care resources (HCR), (2) determine the moderating effects of dyadic attachments (daughter-father, daughter-mother, daughter-peers, daughter-romantic partner) on the relationship between adverse social determinants and early adult trajectories of HIV/AIDS risk behaviors and SUS, (3) clinically validate outcomes with laboratory tests (saliva, urine and blood) for alcohol plus 9-drug classes, HIV-EIA and STDs and (4) create a psychometrically sound and culturally relevant screening instrument derived from the obtained results (Latina Screening Index of Risk and Resilience-LaSIRR) which may be employed to identify recent Latina immigrants at high risk to succumb to HIV/AIDS and SUDs. Longitudinal statistical analyses will capture dynamic system interactions between change processes and causal networks to elucidate interactions among the modeled variables across 4-annual waves. Factor analyses will be applied to data obtained at baseline assessment to derive a preliminary LaSIRR to predict HIV and SUD outcomes across 3 follow-up assessments.