Mapping Substance Abuse Service Use

描述：(申请人提供) 近年来，方法学的进步为研究人员提供了 改进了建模和研究纵向数据的技术。该计划的目的是 建议的研究是应用通用生长混合模型(GGMM)，其中之一 这些新技术。两种类型的纵向物质使用(SU)数据- 使用SU服务并参与SU。具体目标包括 应用GGMM将个人随时间接受服务的情况分类为 具有相似成长轨迹的潜在类别的个体，然后 将这些以人为中心的变化模式与重要的背景联系起来 变量(例如，性别。家庭凝聚力)。类似的分析将会进行。 关于SU参与的增长轨迹。这项研究将使用现有数据 在大约800名患有严重疾病的儿童、青少年和年轻人中 情绪障碍，研究开始时年龄为818岁，世卫组织 参加了为期7年的全国青少年和儿童治疗研究 一种测试GGMM分析SU服务和SU效用的有效方法 参与其中。这项研究的结果应该为以下方面提供实质性的知识 从业者关于哪些类别的参与者受益于SU服务，如 以及对SU服务研究人员使用 GGMM。

DESCRIPTION: (provided by applicant) In recent years, methodological advances have provided researchers with improved techniques to model and study longitudinal data. The purpose of the proposed research is to apply general growth mixture modeling (GGMM), one of these new techniques. to two types of longitudinal substance use (SU) data - use of SU services and involvement with SU. Specific aims include the application of GGMM to classify individuals' receipt of services over time into latent classes of individuals with similar growth trajectories and then to relate these person-centered patterns of change to important contextual variables (e.g., gender. family cohesion). Similar analyses will be conducted on the growth trajectories for SU involvement. The study will use existing data of approximately 800 children, adolescents, and young adults with serious emotional disturbances, aged 818 years at the start of the study, who participated in the 7-year National Adolescent and Child Treatment Study as a cost-effective way to test the utility of GGMM for analyzing SU services and SU involvement. Results from this study should provide substantive knowledge to practitioners about which classes of participants benefit from SU services, as well as methodological recommendations to SU service researchers on the use of GGMM.