Evidence map›Paper›PMID 33841206›Full record

ArticleFrontiers in psychiatry2021

Personality Inventory for DSM-5 in China: Evaluation of DSM-5 and ICD-11 Trait Structure and Continuity With Personality Disorder Types.

Shulin Fang, Zirong Ouyang, Panwen Zhang, Jiayue He, Lejia Fan, Xingwei Luo, Jianghua Zhang, Yan Xiong, Fusheng Luo, Xiaosheng Wang and 2 more

Abstract read
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Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Shulin FangMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Zirong OuyangHunan Biological and Electromechanical Polytechnic, Changsha, China.
Panwen ZhangMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Jiayue HeMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Lejia FanMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Xingwei LuoMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Jianghua ZhangStudent Affairs Department, Central South University, Changsha, China.
Yan XiongStudent Affairs Department, Central South University, Changsha, China.
Fusheng LuoStudent Affairs Department, Central South University of Forestry and Technology, Changsha, China.
Xiaosheng WangDepartment of Human Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, China.
Shuqiao YaoMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Xiang WangMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 (

Indexed as

dimensional trait modelDSM-5factor structureICD-11personality disorders

Identifiers

PMID33841206
PMCPMC8033014

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