Rocky Mountain MIRECC, 1055 Clermont St., Denver, CO, 80220, USA.
Department of Clinical Psychology, Western Michigan University, 3524 Wood Hall, Mail Stop 5439, Kalamazoo, MI, 49008, USA.
Personal Ment Health. 2017 Nov;11(4):314-334. doi: 10.1002/pmh.1390. Epub 2017 Aug 30.
Dimensional models of personality have been widely acknowledged in the field as alternatives to a trait-based system of nomenclature. While the importance of dimensional models has been established, less is known about the constructs underlying these personality dimensions. Emotion regulation is one such potential construct. The goal of the current study was to examine the relationship between personality dimensions and emotion regulation. More specifically, the predictive capacity of emotion regulation in accounting for personality dimensions and symptoms on the Schedule for Nonadaptive and Adaptive Personality-2 above and beyond a measure of general distress was evaluated. Emotion regulation was found to be predictive of most personality dimensions and symptoms of most personality disorders. Consistent with hypotheses, emotion regulation variables associated with undercontrol of emotions were most predictive of traits associated with Cluster B personality disorders whereas Cluster A and C traits were most associated with emotion regulation related to overcontrol of emotions. These findings provide preliminary evidence that some personality dimensions never assessed in relation to emotion regulation are strongly predicted by emotion regulation variables. Thus, the present study facilitates an initial step in understanding the relationship between personality dimensions and a multidimensional model of emotion regulation. Copyright © 2017 John Wiley & Sons, Ltd.
人格的维度模型在该领域被广泛认为是特质命名系统的替代品。虽然维度模型的重要性已经确立,但关于这些人格维度背后的结构知之甚少。情绪调节就是这样一个潜在的结构。本研究的目的是检验人格维度与情绪调节之间的关系。更具体地说,评估了情绪调节在解释人格维度和非适应及适应人格-2 量表上的症状方面的预测能力,而不仅仅是一般困扰程度的测量。情绪调节被发现可以预测大多数人格维度和大多数人格障碍的症状。与假设一致的是,与情绪失控相关的情绪调节变量与与 B 类人格障碍相关的特质最具预测性,而 A 类和 C 类特质则与与情绪过度控制相关的情绪调节最相关。这些发现初步证明了一些从未与情绪调节相关评估的人格维度可以被情绪调节变量强烈预测。因此,本研究有助于理解人格维度与情绪调节的多维模型之间关系的第一步。版权所有 © 2017 约翰威立父子公司