Psychology Department, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany.
Faculty of Social Sciences and Cultural Studies, University of Applied Sciences Düsseldorf, Düsseldorf, Germany.
BMC Psychol. 2022 Nov 16;10(1):270. doi: 10.1186/s40359-022-00979-2.
The International Classification of Diseases 11th Revision (ICD-11) personality disorder model comprises, among other elements, five maladaptive personality trait domains (negative affectivity, detachment, dissociality, disinhibition, anankastia). Recently, the personality inventory for ICD-11 (PiCD) has emerged as one of the most widely used measures of these ICD-11 personality trait domains.
The current study contributed to the validation of the PiCD validation by exploring its stability and predictive links with psychological distress over 6 months in a sample of 206 German community adults.
The PiCD trait domain scales displayed strong differential (all r ≥ .80) and absolute stability (all |d| ≤ .09). Additionally, PiCD negative affectivity predicted depression, anxiety, and stress, and PiCD detachment predicted depression over 6 months beyond baseline.
In sum, this study demonstrated the stability of the PiCD trait domain scores, supporting their utility for capturing relatively stable traits as described in the ICD-11. Additionally, we provided the first evidence for the predictive validity of some of the PiCD trait domain scores.
国际疾病分类第 11 次修订版（ICD-11）人格障碍模型包括五个适应不良的人格特质领域（负性情绪、脱抑、反社会、冲动和强迫）。最近，人格障碍诊断问卷第 11 版（PiCD）作为这些 ICD-11 人格特质领域的最广泛使用的测量工具之一而出现。
本研究通过探索 PiCD 特质在德国社区 206 名成年人样本中的稳定性及其与 6 个月心理困扰的预测性联系，为 PiCD 的验证做出了贡献。
PiCD 特质领域量表显示出很强的差异（所有 r≥.80）和绝对稳定性（所有 |d|≤.09）。此外，PiCD 的负性情绪预测了抑郁、焦虑和压力，PiCD 的脱抑预测了抑郁，这些预测在 6 个月内超过了基线。
总之，本研究表明 PiCD 特质领域分数的稳定性，支持了它们在描述 ICD-11 中相对稳定的特质方面的实用性。此外，我们提供了 PiCD 特质领域分数的一些预测有效性的初步证据。
