COLLABORATIVE LONGITUDINAL STUDY OF PERSONALITY DISORDER

这项研究的总体目标是全面了解 四种特殊人格障碍(PD)的病程和结果： 分裂型(STPD)、边缘型(BPD)、回避型(AvPD)和强迫型-- 强迫症(OCPD)使用前瞻性的、纵向的、重复的措施 设计我们将发展相同的关于过程和结果的基本知识 对于先前因类似的调查而导致的私隐调查 情感障碍和焦虑症。缺乏可比的数据 被诊断为PDS的人代表着知识上的一个重要差距。 为了实现我们的总体目标，我们提出了三种方法：一、描述性的、 二、预测性；三、验证性。描述性方法将 提供有关精神病理学和社会稳定性的基本数据 允许比较PD和类似数据的减值 I轴紊乱。这种预测性方法将产生基本的临床效果 对PD内部和跨PD的预后决定因素的洞察。这个 验证方法将检查描述性和 DSM系统定义的PDS的纵向特征以及如何 这与其他方案相比。 为了实现这些目标，这项提案要求资金招聘， 严格评估并跟踪调查了750名年龄在18岁至 45个，即四个PD中的每个PD中的150个和具有主要 抑郁障碍(NDD)。样本将足够大，并且 在种族上足够多样化，以获得大多数人都能概括的结果 并对临床设置和应用进行几个维度的考察 接近了。

The overall aim of this study is to provide a comprehensive picture of the course and outcome of four specific personality disorders (PDs): schizotypal (STPD), borderline (BPD), avoidant (AVPD), and obsessive- compulsive (OCPD). Using a prospective longitudinal, repeated measures design we will develop the same basic knowledge about course and outcome for the PDs that has previously resulted from similar investigations of affective and anxiety disorders. The absence of comparable data for individuals diagnosed with PDs represents an important gap in knowledge. To accomplish our overall aim we propose three approaches: I. descriptive, II. predictive, and III. validating. The descriptive approach will provide the basic data on stability of psychopathology and social impairment that allows comparison between the PDs and to similar data from Axis I disorders. The predictive approach will yield basic clinical insights into the determinants of prognosis within and across PDs. The validating approach will examine the homogeneity of descriptive and longitudinal features for the PDs as defined by the DSM system and how this compares with alternative schemes. To accomplish these aims, this proposal requests funds to recruit, rigorously assess, and follow a total sample of 750 subjects, aged 18 to 45, i.e., 150 of each of the four PDs and 150 controls with major depressive disorder (NDD). The sample will be large enough and sufficiently diverse ethnically to attain results generalizable to most clinical settings and to examine the application of several dimensional approaches.