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The five-factor model and personality disorder empirical literature: A meta-analytic review.
Clinical Psychology Review ( IF 12.8 ) Pub Date : 2004-01-20 , DOI: 10.1016/j.cpr.2002.09.001
Lisa M Saulsman 1 , Andrew C Page
Affiliation  

The current meta-analysis reviews research examining the relationships between each of the five-factor model personality dimensions and each of the 10 Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) personality disorder diagnostic categories. Effect sizes representing the relationships between these two constructs were compiled from 15 independent samples. Results were analyzed both within each individual personality disorder category and across personality disorders, indicating how personality disorders are different and similar, respectively, with regard to underlying personality traits. In terms of how personality disorders differ, the results showed that each disorder displays a five-factor model profile that is meaningful and predictable given its unique diagnostic criteria. With regard to their similarities, the findings revealed that the most prominent and consistent personality dimensions underlying a large number of the personality disorders are positive associations with Neuroticism and negative associations with Agreeableness. Extraversion appears to be a more discriminating dimension, as indicated by prominent but directionally variable associations with the personality disorders. The implications of these meta-analytic findings for clinical application and the advancement of future research are discussed.

中文翻译:

五因素模型与人格障碍的经验文献:荟萃分析。

当前的荟萃分析综述了研究五因素模型人格维度中的每一个与《精神障碍诊断和统计手册》第四版(DSM-IV)人格障碍诊断类别中的每一个之间的关系的研究。从15个独立样本中汇编了代表这两种构建体之间关系的效应量。在每个人格障碍类别内以及在整个人格障碍中都对结果进行了分析,表明人格障碍在基本人格特征方面分别是如何不同和相似。就人格障碍的差异而言,结果表明,每种疾病均显示出五因素模型特征,鉴于其独特的诊断标准,该特征是有意义且可预测的。关于它们的相似性,研究结果表明,在许多人格障碍中,最突出和最一致的人格维度是与神经质的正相关和与宜人性的负相关。外向性似乎是一个更具区分性的维度,这与人格障碍的突出但有方向性的可变性关联表明。讨论了这些荟萃分析结果对临床应用的意义以及未来研究的进展。如与人格障碍的突出但方向性可变的关联所表明。讨论了这些荟萃分析结果对临床应用的意义以及未来研究的进展。如与人格障碍的突出但方向性可变的关联所表明。讨论了这些荟萃分析结果对临床应用的意义以及未来研究的进展。
更新日期:2019-11-01
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