PSYCHOPATHOLOGY IN YOUNG PEOPLE WITH MENTAL RETARDATION

描述(申请人提供)：本申请的目的是支持一项正在进行的研究计划，该计划旨在确定澳大利亚儿童到成人发展(ACAD)研究中国际上独一无二的精神发育迟滞青年队列中精神病理演变中的风险和韧性因素。这项应用的主要目的是1)研究精神发育迟滞儿童的精神病理学的过程和模式；2)检查可能与精神病理学有关的潜在生物-心理-社会风险和保护因素；以及3)评估和完善DEC的测量特性，DEC是本研究中和国际上广泛使用的评估精神病理学的主要工具。 ACAD的第四波研究(14年的跟踪调查)现已完成，可以分析从童年到青春期再到成年的精神病理学的发展。先进的统计方法，包括生长混合模型，将被用来识别这些群体中情绪和行为障碍的发展轨迹，调查风险、中介和调节因素，并经验性地描绘出显示出随时间变化的不同模式的亚群。另一个单独的目的是评估和完善纵向ACAD研究和几个国际横断面数据集中的发展行为检查表(DEC)的心理测量学特性。DEC的心理测量学特性分析将使用分类数据的多组因素分析和项目反应模型的新发展来构建和评估精神病理学的简短测量。 这一应用程序提供了一个非同寻常的机会来评估这一弱势群体在过渡到成年期期间的心理健康途径。该项目的统一目的是将先进的统计建模技术应用于现有的ACAD数据，并通过纳入在其他一些国家收集的可比数据来加强研究结果。

DESCRIPTION (provided by applicant): The purpose of this application is to support an ongoing program of research aimed at determining risk and resilience factors in the evolution of psychopathology in an internationally unique cohort of young people with mental retardation that forms the Australian Child to Adult Development (ACAD) Study. The broad aims of this application are to 1) study the course and pattern of psychopathology in children with mental retardation; 2) examine potential biopsychosocial risk and protective factors which may be associated with psychopathology; and 3) evaluate and refine the measurement properties of the DEC, the principal instrument used to assess psychopathology in this study and in broad use internationally. The fourth wave of the ACAD study (14 years of follow-up) has now been completed and permits analysis of the development of psychopathology from childhood through adolescence to young adulthood. Advanced statistical methods, including growth mixture models, will be used to identify developmental trajectories of emotional and behavioral disturbance in these groups, to investigate risk, mediating and moderating factors, and to empirically delineate subpopulations showing distinct patterns of change over time. A separate aim is to evaluate and refine the psychometric properties of the Developmental Behavioral Checklist (DEC) in the longitudinal ACAD study and in several international cross-sectional datasets. The analysis of psychometric properties of the DEC will use new developments for multiple-group factor analysis of categorical data and item-response models to construct and evaluate a short-form measure of psychopathology. This application provides an extraordinary opportunity to evaluate the mental health pathway of this vulnerable population through the transition into adulthood. The unifying purpose of this project is to apply advanced statistical modeling techniques to the existing ACAD data and to strengthen the findings by incorporating comparable data collected in a number of other countries.