Literature DB >> 31017559

A Strategy to Address High Comorbidity of Personality Disorders in a Chinese Population: A Principal and Subordinate Diagnostic Model.

JunJie Wang, Zheng Chen, Wei Sun, YuChen Zheng, Li Hui, XiaoHua Liu, JiJun Wang, HaiSu Wu, Yi Qiao, TianHong Zhang.   

Abstract

Objective: Multiple and overlapping diagnoses of personality disorders (PDs) have been a major obstacle in clinical practice and research. This study aims to investigate the comorbidity of PDs in a sample of a high-risk clinical population. We propose a diagnostic model to address this critical issue.
Methods: The sample population included 982 PD patients. The PD diagnoses were concluded based on self-reported and face-to-face interviews. To address the issue of overlapping PD diagnoses, we defined the criteria for clinically distinguishing principal and subordinate PDs, and determined the frequency of each condition.
Results: Diagnostic overlap among PDs was quite common across all categories. Of all 982 PD patients, 436 (44.4%) met the criteria for more than one PD. In terms of specific PD diagnoses, the comorbidity rate of each PD was nearly 47.1-74.7%. The principal and subordinate PDs were distinguished accordingly. Avoidant, obsessive-compulsive, and borderline PD remain the most prevalent types of principal PD in this clinical population. Conclusions: The principal/subordinate model may be one strategy of resolving the issue of PD comorbidity in Chinese clinical settings.

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Year:  2019        PMID: 31017559     DOI: 10.1080/00332747.2019.1600218

Source DB:  PubMed          Journal:  Psychiatry        ISSN: 0033-2747            Impact factor:   2.458


  2 in total

1.  Prevalence of Comorbid Personality Disorder in Psychotic and Non-psychotic Disorders.

Authors:  Qiang Wang; Lei Zhang; Jiechun Zhang; Zhihao Ye; Ping Li; Feng Wang; Yili Cao; Shaojun Zhang; Fang Zhou; Zisheng Ai; Nan Zhao
Journal:  Front Psychiatry       Date:  2021-12-24       Impact factor: 4.157

2.  Sex differences in personality disorders in a Chinese clinical population.

Authors:  HongZhen He; Mei Xu; ZhangYing Fei; Yuou Xie; XinYi Gu; HongLiang Zhu; JunJie Wang
Journal:  Front Psychiatry       Date:  2022-09-23       Impact factor: 5.435

  2 in total

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