《ICD-11 人格量表的六个月稳定性和预测效度》。
Six-month stability and predictive validity of the personality inventory for ICD-11.
机构信息
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.
出版信息
BMC Psychol. 2022 Nov 16;10(1):270. doi: 10.1186/s40359-022-00979-2.
BACKGROUND
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.
METHODS
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.
RESULTS
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.
CONCLUSION
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.
背景
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。
方法
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。
结果
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。
结论
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。
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