比较《精神疾病诊断与统计手册》第五版第二部分人格障碍和第三部分人格领域与精神病患者样本临床功能障碍的关联。

R Michael Bagby, Sharlane C L Lau, Carolyn A Watters, Lena C Quilty, Martin Sellbom
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摘要

在本研究中,我们以精神科门诊病人样本(185 人)为研究对象,比较了《精神疾病诊断与统计手册》第五版文本修订版(DSM-5-TR)第二部分人格障碍(SII-PDs)与人格障碍替代模式(AMPD)第三部分特质域的增量预测能力。为此,我们进行了一系列分层回归分析,将 10 个 SII-PDs 和五个 AMPD 特质领域作为预测变量,五个临床功能障碍领域作为标准变量。每个标准变量有两个模型。在模型 A 中,10 个 PDs 被作为一个分块输入,然后是特质域的分块输入;在模型 B 中,这些预测变量的分块输入是相反的。由于 AMPD 的设计是为了弥补 SII-PDs 的不足,因此假设 AMPD 的特质域与 SII-PDs 相比将显示出更强的预测能力,具体表现为:(a)当首先输入模型时,与首先输入 SII-PDs 时相比,AMPD 能解释每个标准变量更多的总体方差;(b)当分块输入模型时,与 SII-PDs 相比,AMPD 能解释更多的增量方差。这些假设得到了部分支持。总体而言,AMPD 特质领域比 SII-PDs 预测了更多的变异,并对三个标准变量表现出更好的模型拟合度和更强的预测能力。同样,在三个标准变量中,AMPD 特质域比 SII-PDs 预测的方差有显著但适度的增加。我们的结论是,还需要做更多的工作来改进 AMPD,特别是在评估与临床功能障碍有关的外化心理病理学方面。(PsycInfo Database Record (c) 2024 APA,保留所有权利)。
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A comparison of the associations of the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, Section II personality disorders and Section III personality domains with clinical dysfunction in a psychiatric patient sample.

In this study, we compare the incremental predictive capacities of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR) Section II personality disorders (SII-PDs) with Section III trait domains of the Alternative Model of Personality Disorders (AMPD) in a psychiatric outpatient sample (N = 185). To this end, a series of hierarchical regression analyses was conducted in which the 10 SII-PDs and the five AMPD trait domains served as the predictor variables and five areas of clinical dysfunction as the criterion variables. Two models for each criterion were tested. In Model A, the 10 PDs were entered as a block, followed by the block entry of trait domains; in Model B, the block entry of these predictors was reversed. As the AMPD was designed to address the shortcomings of the SII-PDs, it was hypothesized that the AMPD trait domains would show greater predictive capacity vis-à-vis the latter by (a) explaining more overall variance for each criterion variables when entered first into the model versus when SII-PDs was entered first and (b) explaining more incremental variance than SII-PDs when block was entered second. These hypotheses were partially supported. Overall, the AMPD trait domains predicted more variance than SII-PDs and demonstrated better model fit and more predictive power for three of the criterion variables. Similarly, the AMPD domains predicted a significant but modest incremental increase in variance over that of the SII-PDs for three of the criterion variables. We conclude that more work needs to be done to improve the AMPD, particularly in the assessment of externalizing psychopathology as it relates to clinical dysfunction. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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