Resiliency and Promotive Factors in Polyvictimized Youth

 说明(由申请人提供)：本提案描述了一项计划，利用城市青少年样本数据，采用多层次建模方法，测试青少年多受害和酗酒吸毒的风险和保护因素。调查与多受害者行为相关的因素的研究往往忽略了可能 保护青年免受受害风险。此外，在研究风险/保护因素对青少年受害和AOD使用之间关系的影响的研究中，很少有人纵向探讨风险和保护因素之间相互作用的机制。最后，我们对青年多受害行为的大部分了解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丰富地了解青年遭受受害的背景及其与AOD结果的关系。为了解决文献中的这些差距，我们将在600名14-24岁的青少年/年轻人的纵向样本中检查受害的模式和后果。 在弗林特地区的急诊科接受治疗。我们将使用复原力理论来确定轨迹促进因素，研究是什么保护儿童免受伤害(例如，社会融合和应对)，以及与多个受害者相关的AOD后果(例如，酗酒、非法药物使用)。在这些分析中将使用增长曲线建模、空间分析和半参数混合建模。这个二次数据分析的结果将有助于我们理解青少年如何经历受害，识别从多个受害到使用AOD的个人和背景路径，以及 强调在遭受暴力的青年中促进复原力的因素。

 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.