Fang Shulin, Ouyang Zirong, Zhang Panwen, He Jiayue, Fan Lejia, Luo Xingwei, Zhang Jianghua, Xiong Yan, Luo Fusheng, Wang Xiaosheng, Yao Shuqiao, Wang Xiang
Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Hunan Biological and Electromechanical Polytechnic, Changsha, China.
Front Psychiatry. 2021 Mar 26;12:635214. doi: 10.3389/fpsyt.2021.635214. eCollection 2021.
The Personality Inventory for the DSM-5 (PID-5) is an established tool for assessing personality disorder (PD) traits that was developed based on section III of the DSM-5. It is composed of 220 items, organized into 25 facets, which are distributed among five domains. The psychometric properties of the Chinese version of the PID-5 remain to be demonstrated. Two samples were embodied in this study that included 3,550 undergraduates and 406 clinical patients. To probe the structure of the PID-5, parallel analyses were conducted to explore the unidimensionality of its 25 facets and a series of confirmatory factor analyses (CFAs) were carried out to confirm the 25 lower-order facets and their distribution among five higher-order domains. Then, the PID-5 was employed to measure the DSM-5 and ICD-11 trait models and to explore the relationship of DSM-IV categorical PDs with DSM-5 and ICD-11 personality traits. Correlation and regression analyses were conducted to probe how well DSM-IV categorical PDs correspond with maladaptive personality traits specified in the DSM-5 and five ICD-11 domains. The respective average internal reliability coefficients of the 25 facets obtained for undergraduate and clinical patient samples were 0.76 and 0.81, those obtained for the five DSM-5 domains were 0.89 and 0.91, and those obtained for the five ICD-11 domains were 0.87 and 0.89. Serial CFAs confirmed the rationality of the PID-5's lower-order 25-facet structure and higher-order five-domain structure in both samples. Correlation and regression analyses showed that DSM-5 specified traits explain the variance in PD presentation with a manifold stronger correlation ( = 0.24-0.44) than non-specified traits ( = 0.04-0.12). Overall, the PID-5 was shown to be a reliable, stable, and structurally valid assessment tool that captures pathological personality traits related to DSM-5 and ICD-11 PDs.
《精神疾病诊断与统计手册》第五版人格量表(PID - 5)是一种基于《精神疾病诊断与统计手册》第五版第三部分开发的用于评估人格障碍(PD)特质的既定工具。它由220个项目组成,分为25个面,分布在五个领域。PID - 5中文版的心理测量特性仍有待证明。本研究纳入了两个样本,包括3550名本科生和406名临床患者。为探究PID - 5的结构,进行了平行分析以探索其25个面的单维性,并进行了一系列验证性因素分析(CFA)以确认25个低阶面及其在五个高阶领域中的分布。然后,使用PID - 5来测量《精神疾病诊断与统计手册》第五版和《国际疾病分类》第11版的特质模型,并探究《精神疾病诊断与统计手册》第四版分类人格障碍与《精神疾病诊断与统计手册》第五版和《国际疾病分类》第11版人格特质之间的关系。进行了相关分析和回归分析,以探究《精神疾病诊断与统计手册》第四版分类人格障碍与《精神疾病诊断与统计手册》第五版和《国际疾病分类》第11版五个领域中规定的适应不良人格特质的对应程度。本科生样本和临床患者样本中25个面各自获得的平均内部信度系数分别为0.76和0.81,《精神疾病诊断与统计手册》第五版五个领域获得的平均内部信度系数分别为0.89和0.91,《国际疾病分类》第11版五个领域获得的平均内部信度系数分别为0.87和0.89。系列验证性因素分析证实了PID - 5的低阶25面结构和高阶五领域结构在两个样本中的合理性。相关分析和回归分析表明,《精神疾病诊断与统计手册》第五版规定的特质解释人格障碍表现的方差的相关性(r = 0.24 - 0.44)比未规定的特质(r = 0.04 - 0.12)强得多。总体而言,PID - 5被证明是一种可靠、稳定且结构有效的评估工具,能够捕捉与《精神疾病诊断与统计手册》第五版和《国际疾病分类》第11版人格障碍相关的病理性人格特质。