Resiliency and Promotive Factors in Polyvictimized Youth

 描述（由申请人提供）：本提案描述了一项计划，以测试风险和保护因素的青年多受害和酒精和药物（AOD）使用多层次建模方法与数据从城市青少年的样本。调查与多重受害有关的因素的研究往往忽视了促进因素， 保护青年免受受害风险。此外，在研究青少年受害和AOD使用之间的关系的风险/保护因素的影响，很少有探讨风险和保护因素之间的互动过程纵向的机制。最后，我们对青年多重受害的理解大多是通过调查数据获得的;很少有研究人员使用地理空间方法来更深入地了解青年受害的背景及其与AOD结果的关系。为了解决文献中的这些空白，我们将在600名14-24岁的青少年/年轻人的纵向样本中研究受害的模式和后果， 在弗林特地区的急诊室接受治疗。使用弹性理论，以确定轨迹的促进因素，我们将研究是什么保护儿童免受伤害（如社会融合和应对），以及与多受害（如酗酒，非法药物使用）的AOD后果。在这些分析中将使用生长曲线建模、空间分析和半参数混合建模。从这个次要数据分析的结果将告知我们如何青少年的经验受害的理解，确定个人和上下文的途径，从多受害的AOD使用， 强调促进遭受暴力青年复原力的因素。

 DESCRIPTION (provided by applicant): This proposal describes a plan to test risk and protective factors for youth polyvictimization and alcohol and drug (AOD) use using a multi-level modeling approach with data from a sample of urban adolescents. Studies investigating the factors associated with polyvictimization have often overlooked promotive factors that can protect youth against risks of victimization. Moreover, among the studies examining the effects of risk/protective factors on the relationship between adolescent victimization and AOD use, few have explored the mechanisms of an interactive process between risk and protective factors longitudinally. Finally, much of our understanding of youth polyvictimization is obtained through survey data; fewer researchers have used geo-spatial approaches to gain a richer understanding of the context in which youth experience victimization and its relationship to AOD outcomes. To address these gaps in the literature, we will examine patterns and consequences of victimization in a longitudinal sample of 600 adolescent/young adults aged 14-24 who received treatment in a Flint area emergency department. Using resiliency theory to identify trajectories promotive factors, we will examine what protects children from victimization (e.g. social integration and coping), as well as the AOD consequences associated with polyvictimization (e.g. binge drinking, illicit drug use). Growth curve modeling, spatial analyses and semi-parametric mixture modeling will be utilized in these analyses. Results from this secondary data analysis will inform our understanding of how adolescents experience victimization, identify individual and contextual pathways from polyvictimization to AOD use, and highlight factors that promote resiliency among youth exposed to violence.