PSYCHOPATHOLOGY IN YOUNG PEOPLE WITH MENTAL RETARDATION

描述（由申请人提供）：本申请的目的是支持一项正在进行的研究计划，旨在确定国际上独特的智力迟钝年轻人队列中精神病理学演变的风险和弹性因素，该队列形成了澳大利亚儿童到成人发展（ACAD）研究。本申请的主要目的是：1）研究精神发育迟滞儿童的精神病理学过程和模式; 2）检查可能与精神病理学相关的潜在生物心理社会风险和保护因素; 3）评价和改进DEC的测量特性，DEC是本研究中用于评估精神病理学的主要工具，在国际上广泛使用。 ACAD研究的第四波（14年随访）现已完成，并允许分析从儿童期到青春期到青年期的精神病理学发展。先进的统计方法，包括增长混合模型，将被用来确定这些群体的情绪和行为障碍的发展轨迹，调查风险，中介和调节因素，并根据经验描绘亚群显示出不同的变化模式随着时间的推移。一个单独的目的是评估和完善的心理测量特性的发展行为检查表（DEC）在纵向ACAD研究和几个国际横断面数据集。DEC的心理测量特性的分析将使用新的发展，多组因素分析的分类数据和项目反应模型，以构建和评估一个简短的精神病理学措施。 这一应用程序提供了一个非凡的机会，以评估这一弱势群体的心理健康途径，通过过渡到成年。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调查结果。

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.