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Cheng G, Xu L, Li H, Cheng Y, Jiang T, Xu Q, Wang J. Causal links between personality disorders and schizophrenia: A Mendelian randomization study. Medicine (Baltimore) 2025; 104:e42532. [PMID: 40388757 PMCID: PMC12091683 DOI: 10.1097/md.0000000000042532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2024] [Accepted: 05/04/2025] [Indexed: 05/21/2025] Open
Abstract
Although observational studies have suggested associations between personality disorders and schizophrenia, the causality of these relationships remains unclear. Determining whether personality disorders causally contribute to schizophrenia could inform early identification and preventive efforts. We performed two-sample Mendelian randomization (MR) analysis using large-scale Genome-wide Association Study data from populations of European ancestry. Because no single nucleotide polymorphism for personality disorders reached the conventional genome-wide significance threshold (P < 5 × 10-8), we sequentially relaxed the criteria (P < 5 × 10-7, P < 5 × 10-6, P < 5 × 10-5) until at least 10 instrumental variables were obtained. Ultimately, 11-95 single nucleotide polymorphism met the relaxed threshold (P < 5 × 10-5), all with F-statistics > 10, thus ensuring robust instrumental variables. The inverse variance weighted method served as our primary MR approach, supplemented by MR-Egger, weighted median, and MR Robust Adjusted Profile Score analyses, to minimize confounding, reverse causation, and weak instrument bias. Inverse variance weighted analysis revealed a significant causal association between genetically predicted personality disorders and schizophrenia (odds ratios = 1.190, 95% confidence intervals: 1.122-1.261, P = 5.51 × 10-9). Additionally, when examining a combined group of specific personality disorders, a similar causal effect was observed (odds ratios = 1.180, 95% confidence intervals: 1.033-1.345, P = .015). The sensitivity analyses showed no evidence of horizontal pleiotropy, thus supporting the robustness of these findings. Our study provides the first genetic evidence that personality disorders may have a causal influence on schizophrenia risk. These results highlight the importance of early screening and targeted interventions in individuals with personality disorders. Future research should expand to more diverse populations, employ dimensional diagnostic frameworks, and investigate the underlying biological and developmental pathways to refine the preventative and therapeutic strategies.
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Affiliation(s)
- Gangming Cheng
- Department of Geriatric Medicine Ward II, Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Department of Geriatric Medicine Ward II, Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei Province, China
| | - Lin Xu
- Department of General Psychiatry Ward IV, Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Hongjie Li
- Department of Geriatric Medicine Ward II, Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Department of Geriatric Medicine Ward II, Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Yuan Cheng
- Department of Geriatric Medicine Ward II, Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Department of Geriatric Medicine Ward II, Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Tao Jiang
- Department of Geriatric Medicine Ward II, Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Department of Geriatric Medicine Ward II, Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Qiong Xu
- Department of Nutrition, Xinzhou District People’s Hospital, Wuhan, Hubei Province, China
| | - Jing Wang
- Department of Geriatric Medicine Ward II, Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Department of Geriatric Medicine Ward II, Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
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Li G, Lin Y, Xu Y, Zhou Y, Wei Y, Xu L, Tang X, Wang Z, Hu Q, Wang J, Wu H, Yi Z, Zhang T. Age-related differences in borderline personality disorder traits and childhood maltreatment: a cross-sectional study. Front Psychiatry 2025; 16:1454328. [PMID: 39911327 PMCID: PMC11794515 DOI: 10.3389/fpsyt.2025.1454328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 01/06/2025] [Indexed: 02/07/2025] Open
Abstract
Introduction This study investigates age-related differences in Borderline Personality Disorder (BPD) traits and childhood maltreatment (CM) experiences among adolescents, young adults, and older adults within a clinical sample. Methods A cross-sectional design was employed, involving 2029 outpatients aged 15-50 years from the Shanghai Mental Health Center. BPD traits were assessed using the Personality Diagnostic Questionnaire 4th Edition Plus (PDQ-4+), and CM experiences were evaluated using the Child Trauma Questionnaire Short Form (CTQ-SF). Participants were categorized into three age groups: adolescents (15-21 years), young adults (22-30 years), and older adults (31-50 years). Results Adolescents reported significantly higher frequencies of BPD traits and diagnoses compared to young adults and older adults (p=0.036). Specifically, identity disturbance and impulsivity were more pronounced in adolescents (p<0.001). Additionally, adolescents reported higher levels of emotional (F=15.987, p<0.001) and physical abuse (F=12.942, p=0.002), while older adults reported higher levels of emotional and physical neglect. Logistic regression analysis identified key BPD criteria and CM subtypes that differentiated adolescents from adults. Discussion The findings underscore the importance of age-specific interventions in treating BPD and addressing childhood maltreatment. Adolescents exhibit distinct patterns of BPD traits and CM experiences, necessitating tailored therapeutic approaches.
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Affiliation(s)
- GuoRong Li
- Department of Psychiatry, Kangci Hospital of Jiaxing, Tongxiang, Zhejiang, China
| | - Yong Lin
- Department of Psychiatry, Kangci Hospital of Jiaxing, Tongxiang, Zhejiang, China
| | - Yun Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai, China
| | - Yong Zhou
- Department of Psychiatry, Kangci Hospital of Jiaxing, Tongxiang, Zhejiang, China
| | - YanYan Wei
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai, China
| | - LiHua Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai, China
| | - XiaoChen Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai, China
| | - Zixuan Wang
- Department of Clinical Psychology, Shanghai Xinlianxin Psychological Counseling Center, Shanghai, China
| | - Qiang Hu
- Department of Psychiatry, ZhenJiang Mental Health Center, Zhenjiang, China
| | - JiJun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai, China
| | - HaiSu Wu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai, China
| | - ZhengHui Yi
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai, China
| | - TianHong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai, China
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Wang QK, Yang Q, Li CX, Qiu YF, Yin XT, Hu JM, Zhang QT, Chen XC. Distinct impulsivity profiles in subtypes of violence among community-dwelling patients with severe mental disorders: a longitudinal study. BMC Psychiatry 2024; 24:590. [PMID: 39215254 PMCID: PMC11365173 DOI: 10.1186/s12888-024-06044-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Although only a few patients with severe mental disorders (SMD) can commit violent behaviour in the community, violent behaviour aggravates the stigma towards patients with SMD. Understanding the subtypes of violent behaviour may be beneficial for preventing violent behaviour among patients with SMD, but it has rarely been studied. METHODS This longitudinal study investigated 1914 patients with SMD in the community at baseline, and the follow-up period ranged from February 2021 to August 2021. The Barratt Impulsiveness Scale Version-11, the Buss-Perry Aggression Questionnaire, the Impulsive/Premeditated Aggression Scale, the Personality Diagnostic Questionnaire and the MacArthur Community Violence Instrument were used at baseline. The Modified Overt Aggression Scale was used to assess the occurrence of violent behaviour (outcome) during the follow-up period. Cox regression models were used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). Latent class analysis was used to characterise the subtypes of patients with SMD who engaged in violent behaviour at follow-up. RESULTS We found that 7.2% of patients with SMD presented violent behaviour within six months in the community. Younger age (OR = 0.98, 95% CI = 0.96-1.00, p = 0.016) and no economic source (OR = 1.60, 95% CI = 1.10-2.33, p = 0.014) were risk factors for violent behaviour. Patients with SMD who engaged in violent behaviour could be classified into three subtypes: one class characterised by a history of violence and impulsivity, another class characterised by high levels of aggression and motor impulsivity, and the last class characterised by median cognitive impulsivity. CONCLUSIONS Socio-demographic factors were risk factors for violent behaviour among patients with SMD, which could eliminate the discrimination toward this group. Impulsivity played a vital role in identifying the three subtypes of patients with SMD who engaged in violent behaviour. These findings may be helpful for the development of a personalised violence risk management plan for patients with SMD who commit violent behaviour in the community.
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Affiliation(s)
- Qi-Kai Wang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, 1347#, West Guangfu Road, Putuo District, Shanghai, China
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, 16#, The Third Section of People South Road, Wuhou District, Chengdu, China
| | - Qin Yang
- The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Cheng-Xian Li
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, 16#, The Third Section of People South Road, Wuhou District, Chengdu, China
| | - Yu-Feng Qiu
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, 16#, The Third Section of People South Road, Wuhou District, Chengdu, China
| | - Xiao-Tong Yin
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, 16#, The Third Section of People South Road, Wuhou District, Chengdu, China
| | - Jun-Mei Hu
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, 16#, The Third Section of People South Road, Wuhou District, Chengdu, China
| | - Qin-Ting Zhang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, 1347#, West Guangfu Road, Putuo District, Shanghai, China.
| | - Xia-Can Chen
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, 16#, The Third Section of People South Road, Wuhou District, Chengdu, China.
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Lin Y, Guo Z, Zhou Y, Wei Y, Xu L, Tang X, Wang Z, Hu Y, Wang J, Mei Y, Wu H, Luo Y, Zhang T. Distribution of self-reported borderline personality disorder traits symptoms in a large-scale clinical population. Front Psychiatry 2024; 15:1424966. [PMID: 38988741 PMCID: PMC11234847 DOI: 10.3389/fpsyt.2024.1424966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 06/06/2024] [Indexed: 07/12/2024] Open
Abstract
Introduction Borderline Personality Disorder (BPD) traits play a crucial role in the prognosis of psychiatric disorders, as well as in assessing risks associated with negativity and impulsivity. However, there is a lack of data regarding the distribution characteristics of BPD traits and symptoms within clinical populations. Methods A total of 3015 participants (1321 males, 1694 females) were consecutively sampled from outpatients at the psychiatric and psycho-counseling clinics at the Shanghai Mental Health Center. BPD symptoms were assessed using a self-reported personality diagnostic questionnaire. Having BPD traits is defined as having five or more positive items in self-reported BPD characteristics. Participants were stratified into male and female groups, age groups, and diagnostic groups (schizophrenia, mood disorders, anxiety disorders). Exploratory factor analysis using principal components analysis was conducted. Three factors were identified: "F1: Affective Instability and Impulsivity", "F2: Interpersonal Unstable and Extreme Reactions", and "F3: Identity Disturbance". Results Among 3015 participants, 45.9% of the patients self-reported BPD traits. Comparing of male and female patients, there was no statistically significant difference in the occurrence rate of BPD traits (χ2 = 1.835, p=0.176). However, in terms of symptoms, female patients reported more symptoms than male patients. Female patients also exhibited more pronounced features on F2 compared to male patients (t =-1.972, p=0.049). There is a general decrease in BPD traits, symptoms, and factors with increasing age. Specifically, the proportion of positive BPD traits is approximately halved before the age of 30 and decreases to around one-third after the age of 30. BPD traits were most common in the Mood Disorders group at 55.7%, followed by the Anxiety Disorders group at 44.4%, and Schizophrenia group at 41.5% (χ2 = 38.084, p<0.001). Discussion Our study revealed the pervasive presence of BPD traits and symptoms among psychiatric outpatients, exhibiting distinctive distributions across gender, age, and diagnostic categories. These findings emphasize the significance of identifying and addressing BPD pathology in the clinical care of psychiatric outpatients.
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Affiliation(s)
- Yong Lin
- Department of Psychiatry, Kangci Hospital of Jiaxing, Tongxiang, Zhejiang, China
| | - ZiLei Guo
- Department of Psychiatry, Kangci Hospital of Jiaxing, Tongxiang, Zhejiang, China
| | - Yong Zhou
- Department of Psychiatry, Kangci Hospital of Jiaxing, Tongxiang, Zhejiang, China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Zixuan Wang
- Department of Psychology, Shanghai Xinlianxin Psychological Counseling Center, Shanghai, China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yi Mei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - HaiSu Wu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - YanLi Luo
- Department of Psychological Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
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Wang X, Ni X, Wei Y, Xu L, Tang X, Liu H, Wang Z, Chen T, Wang J, Zhang Q, Zhang T. Sex Differences in Personality Disorder and Childhood Maltreatment of Patients with Schizophrenia. Neuropsychiatr Dis Treat 2024; 20:989-999. [PMID: 38741581 PMCID: PMC11090116 DOI: 10.2147/ndt.s462346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
Introduction Despite numerous studies investigating personality disorder (PD) and childhood maltreatment (CM) characteristics in individuals with schizophrenia (SZ), there remains a scarcity of research focusing on sex differences in PD and CM within large samples of SZ patients. Methods A total of 592 participants (257 males, 335 females) were consecutively sampled from patients diagnosed with SZ at the psychiatric and psycho-counseling clinics at Shanghai Mental Health Center. PDs were assessed using a self-reported personality diagnostic questionnaire and a structured clinical interview, while CMs were evaluated using the Chinese version of the Child Trauma Questionnaire Short Form. Results Male patients exhibited a prominent self-reported trait of antisocial PD (t=1.972, p=0.049), while female patients demonstrated a notable emphasis on histrionic PD traits (t=-2.057, p=0.040). Structured interviews for PD diagnoses further indicated a higher comorbidity of schizotypal (χ2=4.805, p=0.028) and schizoid (χ2=6.957, p=0.008) PDs among male patients compared to female patients. Additionally, male patients reported a higher degree (t=2.957, p=0.003) and proportion (χ2=5.277, p=0.022) of experiences of physical abuse in their self-reported CM. Logistic regression analyses highlight distinct factors: higher antisocial PD traits and physical abuse are associated with male patients, while histrionic PD traits and emotional abuse are associated with female patients. Discussion These findings underscore the importance of recognizing and addressing sex-specific manifestations of personality pathology and the nuanced impact of CM in the clinical management of individuals with SZ. The study advocates for tailored interventions that consider the distinct needs associated with sex differences in both personality traits and CM experiences among SZ patients.
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Affiliation(s)
- XiaoLiang Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - XiaoDong Ni
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - ZiXuan Wang
- Department of Psychology, Shanghai Xinlianxin Psychological Counseling Center, Shanghai, People’s Republic of China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Waterloo, Ontario, Canada
- Labor and Worklife Program, Harvard University, Cambridge, MA, USA
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - Qing Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
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Wang W, Cui Y, Hu Q, Wei Y, Xu L, Tang X, Hu Y, Liu H, Wang Z, Chen T, Wang R, An C, Wang J, Zhang T. Childhood maltreatment and personality disorders in adolescents and adults with psychotic or non-psychotic disorders. Front Psychiatry 2024; 15:1336118. [PMID: 38577403 PMCID: PMC10991748 DOI: 10.3389/fpsyt.2024.1336118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/06/2024] [Indexed: 04/06/2024] Open
Abstract
Introduction While the attention to personality disorders (PD) and childhood maltreatment (CM) has grown in recent years, there remains limited understanding of the prevalence and distinctions of PD and CM in clinical populations of Chinese adolescents in comparison to adults. Methods A total of 1,417 participants were consecutively sampled from patients diagnosed with either psychotic or non-psychotic disorders in the psychiatric and psycho-counseling clinics at Shanghai Mental Health Center. The participants were categorized into two groups based on their age: adolescents (aged 15-21 years) and adults (aged 22-35 years). PDs were evaluated using a self-reported personality diagnostic questionnaire and a structured clinical interview, while CMs were assessed using the Chinese version of the Child Trauma Questionnaire Short Form. Results When comparing self-reported PD traits and CM between adolescents and adults, differences emerge. Adolescents, particularly in the psychotic disorder group, exhibit more pronounced schizotypal PD traits (p=0.029), and this pattern extends to non-psychotic disorders (p<0.001). Adolescents in the non-psychotic disorder group also report higher levels of emotional abuse (p=0.014), with a notable trend in physical abuse experiences compared to adults (p=0.057). Furthermore, the most prevalent PDs in the clinical sample are avoidant, borderline, and obsessive-compulsive PDs. Among patients with psychotic disorders, adolescents exhibit higher rates of schizoid, schizotypal, and obsessive-compulsive PDs compared to adults. Logistic regression analyses highlight distinct predictors for psychotic and non-psychotic disorders in adolescents and adults. Discussion The findings emphasize distinct differences in PDs and CMs between adolescent and adult groups, shedding light on their potential roles in psychotic and non-psychotic disorders.
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Affiliation(s)
- WenZheng Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yin Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Qiang Hu
- Department of Psychiatry, ZhenJiang Mental Health Center, Zhenjiang, China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, China
| | - ZiXuan Wang
- Shanghai Xinlianxin Psychological Counseling Center, Shanghai, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Waterloo, ON, Canada
- Labor and Worklife Program, Harvard University, Cambridge, MA, United States
| | - Ran Wang
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - CuiXia An
- Hebei Technical Innovation Center, Mental Health Assessment and Intervention, Shijiazhuang, Hebei, China
- Hebei Clinical Research Center of Mental Disorders, Institute of Mental Health, Shijiazhuang, Hebei, China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
- Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China
| | - TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
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Meisner MW, Lenzenweger MF, Storebø OJ, Petersen LS, Bach B, Simonsen E. Co-occurrence of borderline and schizotypal personality disorders: a scoping review. Nord J Psychiatry 2024; 78:1-13. [PMID: 37682696 DOI: 10.1080/08039488.2023.2254299] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 08/19/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND The historical concept of borderline conditions refers to the pathology on the border between neurosis and psychosis. In DSM-III the conditions were divided into specific but also somewhat overlapping diagnostic criteria for Borderline Personality Disorder (BPD) and Schizotypal Personality Disorder (SPD). This phenomenological overlap, which results in co-occurrence of the two diagnoses, remains a clinical challenge to this day. METHODS To address this issue we examined the co-occurrence of SPD and BPD according to the established DSM-IV/-5 diagnostic criteria. A literature search was conducted including studies that employed a structured interview with defined BPD and SPD criteria. RESULTS Studies from 20 samples were included (i.e. 15 patients, 3 community and 2 forensic samples). For patients diagnosed primarily with BPD, 1-27% also met the criteria for SPD and for patients diagnosed primarily with SPD, 5 - 33% showed co-occurrence with BPD. In the forensic samples, co-occurrence for primary BPD was 10% and 67 - 82% for primary SPD. In the community samples, co-occurrence for primary BPD was 29% and 50% for primary SPD. The pattern of co-occurrence across community samples was particularly heterogeneous. CONCLUSION The identified co-occurrences for BPD and SPD were considerably sample-dependent, and samples and measurements were generally too heterogeneous for a precise meta-analysis. Forensic and community samples generally showed higher co-occurrences, but these findings were characterized by potential methodological limitations.
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Affiliation(s)
| | - Mark F Lenzenweger
- Department of Psychology, The State University of New York, Binghamton, NY, USA
- Department of Psychiatry, Weill Cornell Medical College, NY, USA
| | - Ole J Storebø
- Psychiatric Research Unit, Slagelse, Denmark
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Lea S Petersen
- Psychiatric Research Unit, Slagelse, Denmark
- Division of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Bo Bach
- Psychiatric Research Unit, Slagelse, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Erik Simonsen
- Division of Health and Medical Sciences, University of Copenhagen, Denmark
- Research Unit, Mental Health Services, Roskilde, Denmark
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Zhang L, Zhao N, Zhu M, Tang M, Liu W, Hong W. Adverse childhood experiences in patients with schizophrenia: related factors and clinical implications. Front Psychiatry 2023; 14:1247063. [PMID: 37701095 PMCID: PMC10493314 DOI: 10.3389/fpsyt.2023.1247063] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 08/15/2023] [Indexed: 09/14/2023] Open
Abstract
The relationship between adverse childhood experiences (ACEs) and the development of psychotic symptoms is not well understood. Therefore, this study aimed to investigate the frequency and distribution of ACEs among patients with schizophrenia and their potential correlation with symptomatology and personality pathology. We conducted a cross-sectional study involving 571 patients with schizophrenia in Shanghai, China. Symptomatology was assessed using the Positive and Negative Symptoms Scale (PANSS) and personality pathology was assessed using the Personality Diagnostic Questionnaire Fourth Edition Plus (PDQ-4+). ACEs were assessed using the Child Trauma Questionnaire-Short Form (CTQ-SF). ACEs were highly prevalent, with 80.8% of the patients with schizophrenia reporting at least one ACE. The three most common types of ACE were physical neglect (69.8%), emotional neglect (28.2%), and emotional abuse (22.9%). For specific ACE, emotional abuse was significantly associated with PD traits, whereas emotional and physical neglect types of ACE was significantly associated with negative symptoms. A higher level of physical abuse was more commonly reported by men, younger individuals, and those with a higher level of antisocial PD traits. Higher levels of physical neglect were associated with more severe negative symptoms. ACEs are commonly observed in patients with schizophrenia. Therefore, it is strongly recommended that this clinical population be provided with a comprehensive assessment and individualized intervention for those exposed to specific ACEs.
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Affiliation(s)
| | | | | | | | | | - Wenjuan Hong
- Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China
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9
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Wang Y, Li Z, Zhong J. Preliminary psychometric properties of the Chinese version of the structured interview of personality organization (STIPO-CH). BMC Psychiatry 2023; 23:568. [PMID: 37550695 PMCID: PMC10405419 DOI: 10.1186/s12888-023-05041-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 07/20/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Kernberg originally proposed the psychoanalytic concept of personality organization (PO), which measures personality pathology from a dimensional approach with multiple scales and can be evaluated using the Structured Interview of Personality Organization (STIPO) from six domains: identity, object relations, primitive defenses, coping vs. rigidity, aggression, and moral values. The present study translated the original version into the Chinese STIPO (STIPO-CH) version and evaluated its reliability and validity. METHODS The STIPO-CH was administered to 49 non-clinical subjects. They also completed the Chinese version of the Inventory of Personality Organization and the Millon Clinical Multiaxial Inventory to evaluate criterion-related reliability. Interrater reliability was assessed with intraclass correlations. An item analysis was carried out to explore the structure and internal consistency. RESULTS Interrater reliability (intraclass correlations) ranged from 0.98 to 0.99. Results suggested acceptable internal consistency for identity and moral values. The correlations between STIPO-CH domains and self-report questionnaires indicated that construct validity and criterion-related validity were acceptable to good. CONCLUSIONS Overall, this study presents preliminary psychometric properties of STIPO-CH. Limitations regarding the sample, interviewers, and cultural differences are discussed. Future research is highly recommended.
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Affiliation(s)
- Yang Wang
- Beijing Key Laboratory of Behavior and Mental Health Clinical and Health Psychology Department,School of Psychological and Cognitive Science, Peking University, 5 Yiheyuan Road, Beijing, 100871, China
- Civil Aviation Medicine Center of Civil Aviation Administration of China, Beijing, China
| | - Zirong Li
- Beijing Key Laboratory of Behavior and Mental Health Clinical and Health Psychology Department,School of Psychological and Cognitive Science, Peking University, 5 Yiheyuan Road, Beijing, 100871, China
| | - Jie Zhong
- Beijing Key Laboratory of Behavior and Mental Health Clinical and Health Psychology Department,School of Psychological and Cognitive Science, Peking University, 5 Yiheyuan Road, Beijing, 100871, China.
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10
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Jemal M, Tessema W, Agenagnew L. Cluster B personality disorders and its associated factors among psychiatric outpatients in Southwest Ethiopia: institutional-based cross-sectional study. BMC Psychiatry 2022; 22:500. [PMID: 35883168 PMCID: PMC9315846 DOI: 10.1186/s12888-022-04143-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/12/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Diagnosis of co-occurring personality disorders, particularly the most comorbid cluster B personality disorders in psychiatric patients is clinically important because of their association with the duration, recurrence, and outcome of the comorbid disorders. The study aimed to assess the prevalence of cluster B personality disorders and associated factors among psychiatric outpatients in Jimma Medical Center. METHODS An institution-based cross-sectional study was conducted among 404 patients with mental illnesses at Jimma Medical Center from July 15 to September 14, 2021. A systematic random sampling method was used to recruit the participants. Personality disorder questionnaire four (PDQ-4) was used to assess the prevalence of cluster B personality disorders through a face-to-face interview. Data were entered into Epi Data Version 4.6 and exported to SPSS Version 26 for analysis. Logistic regression analysis was done and variables with a p-value less than 0.05 with a 95% confidence interval in the final fitting model were declared as independent predictors of cluster B personality disorders. RESULT Amongst 401 respondents with response rate of 99.3%, slightly less than one-fourth (23.19%, N = 93) were found to have cluster B personality disorders. Unable to read and write(AOR = 3.28, 95%CI = 1.43-7.51), unemployment(AOR = 2.32, 95%CI = 1.19-4.49), diagnosis of depressive (AOR = 3.72, 95%CI = 1.52-9.10) and bipolar-I disorders (AOR = 2.94, 95%CI = 1.37-6.29), longer duration of illness (AOR = 2.44, 95%CI = 1.33-4.47), multiple relapses (AOR = 2.21, 95%CI = 1.18-4.15)), history of family mental illnesses (AOR = 2.05, 95%CI = 1.17-3.62), recent cannabis use (AOR = 4.38, 95%CI = 1.61-11.95), recent use of alcohol (AOR = 2.86, 95%CI = 1.34-6.10), starting to use substance at earlier age (AOR = 4.42, 95%CI = 1.51 -12.96), and suicidal attempt (AOR = 2.24, 95%CI = 1.01-4.96), were the factors significantly associated with cluster B personality disorders. CONCLUSION The prevalence of cluster B personality disorders was high among mentally ill outpatients and found to be important for mental health professionals working in the outpatient departments to screen for cluster B personality disorders as part of their routine activities, particularly those who have mood disorders, longer duration of illness, multiple relapses, history of family mental illnesses, suicidal attempt and are a current user of alcohol and cannabis.
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Affiliation(s)
- Muzeyen Jemal
- College of Health and Medical Science, Department of Psychiatry, Mettu University, Mettu, Ethiopia.
| | - Worknesh Tessema
- Institute of Health, Faculty of Medicine, Department of Psychiatry, Jimma University, Jimma, Ethiopia
| | - Liyew Agenagnew
- Institute of Health, Faculty of Medicine, Department of Psychiatry, Jimma University, Jimma, Ethiopia
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11
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Wu Y, Zheng Y, Wang J, Zhang T. Specific type of childhood trauma and borderline personality disorder in Chinese patients. Front Psychiatry 2022; 13:936739. [PMID: 35958646 PMCID: PMC9360314 DOI: 10.3389/fpsyt.2022.936739] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 06/27/2022] [Indexed: 11/30/2022] Open
Abstract
Background Childhood maltreatment (CM) is a known risk factor for the development of mental disorders. An extensive body of literature about CM and mental health has been developed in wealthy countries, but information about this connection is lacking in developing countries including China. Aims To explore the possible relationship between specific types of CM and borderline personality disorder (BPD) in patients with mental disorders in China. Methods A survey was conducted in 2006, involving over 3,402 Chinese individuals aged 18-60 years who were randomly selected from the outpatients in the Shanghai Mental Health Center. The patients were screened with the Personality Diagnostic Questionnaire and CM was assessed using the Childhood Trauma Questionnaire. The final sample comprised 178 patients with BPD, 178 patients with other personality disorders (PDs), and 178 patients without PDs. Results In Chinese patients, compared to other PDs, patients with BPDs are more likely to have experienced CM. Emotional maltreatment (emotional abuse and neglect) was the strongest predictor of BPD. Female gender and sexual abuse are significant predictors of the self-harm/suicidal risk of BPD patients. Conclusion This is a pioneering study conducted on a large set of Chinese clinical samples with paired controls to establish and compare the associations between specific CM and BPD. Further studies in this field are necessary to elucidate the mechanism of how various types of childhood trauma have influenced PDs.
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Affiliation(s)
| | | | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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12
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He H, Xu M, Fei Z, Xie Y, Gu X, Zhu H, Wang J. Sex differences in personality disorders in a Chinese clinical population. Front Psychiatry 2022; 13:1006740. [PMID: 36213898 PMCID: PMC9537623 DOI: 10.3389/fpsyt.2022.1006740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 08/09/2022] [Indexed: 11/20/2022] Open
Abstract
INTRODUCTION Sex differences in the frequency and severity of personality disorders (PDs) have been widely reported in Western countries. However, limited literature suggests a similar sex distribution in the Chinese clinical population. This study investigated sex differences in self-reported and interviewed patients with PDs in a clinical population in China. MATERIALS AND METHODS The participants were 1,389 consecutive outpatients with a mean age of 30.5 years, including 634 (45.6%) males and 755 (54.4%) females. Self-reported PD traits were assessed using the Personality Diagnostic Questionnaire Fourth Edition Plus (PDQ-4+). PDs were diagnosed according to the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) Axis II (SCID-II). RESULTS Male outpatients reported more paranoid, schizotypal, antisocial, and passive-aggressive PD traits, whereas females reported more borderline PD traits on the PDQ-4+. Self-reported PD traits in male outpatients were more likely to reach the positive threshold of antisocial PD than in females (χ2 = 5.293, p = 0.021). Males were more likely to meet the criteria for schizoid (χ2 = 5.050, p = 0.025), narcissistic (χ2 = 27.244, p < 0.001), antisocial (χ2 = 11.430, p = 0.001), avoidant (χ2 = 5.098, p = 0.024), and obsessive-compulsive PD (χ2 = 5.496, p = 0.019) diagnoses in the SCID-II. In contrast, females were more likely to meet the criteria of histrionic (χ2 = 12.327, p = 0.001), borderline (χ2 = 28.538, p < 0.001), and dependent (χ2 = 4.919, p = 0.027) diagnoses. DISCUSSION These findings indicate gender differences in the traits, frequency, and pattern of PDs when assessed in a Chinese clinical population.
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Affiliation(s)
- HongZhen He
- Department of Clinical Psychology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Mei Xu
- Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - ZhangYing Fei
- Wujiang Mental Rehabilitation Hospital, Suzhou, China
| | - Yuou Xie
- Department of Clinical Medicine, The First Clinical Medical College of Nanjing Medical University, Nanjing, China
| | - XinYi Gu
- Department of Medical Information Management, Wenzhou Medical University, Wenzhou, China
| | - HongLiang Zhu
- Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - JunJie Wang
- Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
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13
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Wu LZ, Asan AE, Halberstadt AL, Pincus AL. Comparing English-Language and Chinese-Language Assessment of DSM-5 Personality Disorders and Interpersonal Problems in Chinese Bilingual Speakers. J Pers Assess 2021; 104:509-521. [PMID: 34402349 DOI: 10.1080/00223891.2021.1960359] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
A review of the literature on Chinese translations of Western self-report personality disorder assessment measures indicates the need to empirically evaluate the validity of assessing Western personality disorder constructs in Chinese language and culture. The current study presents a novel approach to examining this critical question in cross-cultural clinical assessment science and practice. One hundred and ninety-nine (199) Mandarin Chinese and English bilingual participants (92 males and 107 females) provided both English and Chinese self-report ratings on the Inventory of Interpersonal Problems - Short Circumplex (IIP-SC) and The Personality Diagnostic Questionnaire - 4+ (PDQ-4+). The similarities and differences in associations between Diagnostic and Statistical Manual of Mental Disorders-5th edition (DSM-5) personality disorders and interpersonal problems assessed across languages were examined. The structural summary method (SSM) for circumplex data and a bootstrapping methodology were used to compute confidence intervals around SSM parameters to analyze and compare the interpersonal problems profiles for each personality disorder scale (e.g. narcissistic) derived from English-language and Chinese-language data. The current study found highly similar interpersonal profiles for personality disorder scales assessed in English and Chinese, suggesting Western DSM-5 personality disorder constructs generally emphasize the same interpersonal problems in Chinese language and culture. The method employed in this study also has implications for understanding whether translated measures capture the same personality constructs.
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Affiliation(s)
- Leila Z Wu
- Department of Psychology, The Pennsylvania State University, University Park, PA
| | - A Esin Asan
- Department of Psychology, The Pennsylvania State University, University Park, PA
| | | | - Aaron L Pincus
- Department of Psychology, The Pennsylvania State University, University Park, PA
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14
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Pickard JA, Finch A, Huxley E, Townsend ML, Deuchar S, Lewis KL, Pratt J, Grenyer BFS. Assessing the efficacy of a stepped-care group treatment programme for borderline personality disorder: study protocol for a pragmatic trial. Trials 2021; 22:383. [PMID: 34099033 PMCID: PMC8183092 DOI: 10.1186/s13063-021-05327-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 05/17/2021] [Indexed: 11/12/2022] Open
Abstract
Background Borderline personality disorder (BPD) is a high prevalence and serious mental health disorder that has historically challenged the finite resources of health services. Despite empirical evidence supporting structured psychological therapy as the first line of treatment, there remains significant barriers in providing timely access to evidence-based treatment for this population. The primary aim of this study is to evaluate the effectiveness of providing a stepped-care structured psychological group treatment to individuals with BPD within local mental health services. The secondary aims of the study are to identify the variables that predict the need to step up or down in care and the effectiveness of treatment on psychosocial functioning. Methods Participants seeking treatment at two community mental health services will be invited to participate. Randomised controlled trial assignment will be to either (i) group skills treatment or (ii) treatment as usual. Group treatment will be offered via a stepped-care pathway with participants initially attending a 12-week group with the option of a subsequent 16-week group. The criteria for inclusion in continuing treatment includes meeting > 4 BPD diagnostic criteria or severity on GAF (< 65) at the completion of the 12-week group. Data will be collected at baseline and at five follow-up time points over a 12-month period. Discussion This pragmatic trial will provide valuable information regarding the effectiveness of a progressive stepped-care group treatment for individuals with BPD in the real-world setting of a community mental health service. It will further the current understanding of variables that predict treatment dose and duration. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12618000477224. Registered on 3 April 2018
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Affiliation(s)
- Judy A Pickard
- School of Psychology, University of Wollongong, Wollongong, Australia.
| | - Adam Finch
- Illawarra Shoalhaven Local Health District, Wollongong, Australia
| | - Elizabeth Huxley
- School of Psychology, University of Wollongong, Wollongong, Australia
| | | | | | - Kate L Lewis
- School of Psychology, University of Wollongong, Wollongong, Australia
| | - Jason Pratt
- Illawarra Shoalhaven Local Health District, Wollongong, Australia
| | - Brin F S Grenyer
- School of Psychology, University of Wollongong, Wollongong, Australia
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15
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Qiao Y, Wang J, Hui L, Wang J, Zhou L, Qiao Y, Zhang T. Childhood Adversities in Narcissistic Personality Disorder in China. Psychiatry 2021; 84:81-83. [PMID: 33347381 DOI: 10.1080/00332747.2020.1845023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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16
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Wang Q, Zhang L, Zhang J, Ye Z, Li P, Wang F, Cao Y, Zhang S, Zhou F, Ai Z, Zhao N. Prevalence of Comorbid Personality Disorder in Psychotic and Non-psychotic Disorders. Front Psychiatry 2021; 12:800047. [PMID: 35002814 PMCID: PMC8739447 DOI: 10.3389/fpsyt.2021.800047] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 12/09/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: The burden of personality disorders (PDs) in China is large and the focus on mental health services is increasing. However, there is a lack of sufficient evidence regarding the prevalence of comorbid PD in psychotic and non-psychotic disorders, and whether PDs have different distributions. We aimed to investigate the PD comorbidity distribution pattern between psychotic and non-psychotic disorders using a clinical population-based study. Materials and Methods: We conducted a cross-sectional study of 1,497 patients in Shanghai. PDs were screened using the Personality Diagnostic Questionnaire Fourth Edition Plus (PDQ-4+). All patients were interviewed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) Axis II (SCID-II). We compared the differences in PD comorbidities classified as the 10 types of PDs in the DSM-IV, in 531 patients with psychosis and 966 patients with non-psychotic disorders. Results: More than one-third (37%) of patients with psychotic disorders met the criteria of at least one PD. Approximately half (46%) of patients with non-psychotic disorders met the criteria of at least one PD. Patients with non-psychotic disorders were more likely to meet the criteria of borderline (χ2 = 20.154, p < 0.001) and obsessive-compulsive PD (χ2 = 21.164, p < 0.001) diagnoses compared to those with psychotic disorders. In contrast, patients with psychotic disorders were more likely to meet the criteria of paranoid (χ2 = 11.144, p = 0.001) and schizotypal PD (χ2 = 14.004, p < 0.001) diagnoses than those with non-psychotic disorders. Discussion: PD comorbidity is common and comorbidity distribution pattern is varied in patients with psychotic and non-psychotic disorders, implicating the development of specific strategies that could screen and assess PDs in psychiatric clinical practice.
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Affiliation(s)
- Qiang Wang
- Department of Medical Statistics, Tongji University School of Medicine, Shanghai, China.,Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Lei Zhang
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Jiechun Zhang
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Zhihao Ye
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Ping Li
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Feng Wang
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Yili Cao
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Shaojun Zhang
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Fang Zhou
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Zisheng Ai
- Department of Medical Statistics, Tongji University School of Medicine, Shanghai, China
| | - Nan Zhao
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
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17
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Zhao N, Shi D, Huang J, Chen Q, Wang Q. Comparing the Self-Reported Personality Disorder Traits and Childhood Traumatic Experiences Between Patients With Schizophrenia Vs. Major Depressive Disorder. Front Psychiatry 2021; 12:754174. [PMID: 34671281 PMCID: PMC8520909 DOI: 10.3389/fpsyt.2021.754174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Personality disorder (PD) and childhood traumatic experience (CTE) are well- recognized risk factors for the development of schizophrenia (SZ) and major depressive disorder (MDD). The relationship between CTE and PD is extremely close, and both conditions can affect subsequent psychiatric disorders. Little is known about the differences of these factors in patients with SZ and those with MDD. Materials and Methods: A total of 1,026 outpatients participated in the study, including 533 (51.9%) with SZ and 493 (48.1%) with MDD who were sequentially sampled. The PD traits were assessed using the Personality Diagnostic Questionnaire Fourth Edition Plus (PDQ-4+). The Child Trauma Questionnaire Short Form (CTQ-SF) was used to assess childhood adversities. The scores and associations of PDQ-4+ and CTQ-SF between patients with SZ and those with MDD were compared. Results: The MDD group exhibited more PD traits and more childhood emotional neglect than the SZ group. In patients with MDD, the correlation between PD traits and CTE was significantly higher than that in patients with SZ. Patients with SZ vs. those with MDD showed different PD traits and CTE. The schizotypal and antisocial PD traits, as well as sexual abuse and physical neglect CTE, were significantly related to SZ. In contrast, the borderline, narcissistic and avoidant PD traits, and emotional abuse/neglect CTE were significantly associated with MDD. Discussion: These findings indicated a robust relationship between CTE and PD traits. Moreover, patients with SZ or MDD, have different interactive patterns. Both CTE and PD traits have the potential to be premorbid risk factors that could be targeted for preventative interventions.
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Affiliation(s)
- Nan Zhao
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Dianhong Shi
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Juan Huang
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Qiuying Chen
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Qiang Wang
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
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18
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Huang L, Wei W, Liu Z, Zhang T, Wang J, Xu L, Chen W, Le Meur O. Effective schizophrenia recognition using discriminative eye movement features and model-metric based features. Pattern Recognit Lett 2020. [DOI: 10.1016/j.patrec.2020.09.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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19
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Huang L, Wang Y, Liu J, Ye P, Chen X, Xu H, Qu H, Ning G. Factors Influencing Anxiety of Health Care Workers in the Radiology Department with High Exposure Risk to COVID-19. Med Sci Monit 2020; 26:e926008. [PMID: 32710536 PMCID: PMC7401832 DOI: 10.12659/msm.926008] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background During the outbreak of COVID-19, health care workers in the radiology department frequently interact with suspected patients and face a higher risk of infection and sudden surges in workload. High anxiety levels seriously harm physical and mental health and affect work efficiency and patient safety. Therefore, it is critical to determine anxiety levels of health care workers and explore its risk factors. Material/Methods Self-Rating Anxiety Scale and Connor-Davidson Resilience Scale were used to evaluate the anxiety and resilience of 364 health care workers with high exposure risk from the radiology departments of 32 public hospitals in Sichuan Province, China. Multivariate linear regression was used to analyze factors related to anxiety. Results The mean anxiety score was 44.28±8.93 and 23.4% of our study participants reported mild (n=63), moderate (n=19), or severe (n=3) anxiety. Multiple linear regression analysis showed that age, job position, availability of protective materials, signs of suspected symptoms, and susceptibility to emotions and behaviors of people around them were identified as risk factors for anxiety, whereas psychological resilience was identified as a protective factor. Conclusions Our study suggests that the anxiety level of health care workers in the radiology department with a high exposure risk to COVID-19 was high in the early stage of the outbreak, although the majority remained within normal limits. Timely assessment and effective intervention measures can improve the mental health of these at-risk populations.
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Affiliation(s)
- Lei Huang
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Medical College, Xuchang University, Xuchang, Henan, China (mainland)
| | - Yun Wang
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Juan Liu
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Pengfei Ye
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Xijian Chen
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Huayan Xu
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Haibo Qu
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Gang Ning
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
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20
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Huang L, Wang Y, Liu J, Ye P, Cheng B, Xu H, Qu H, Ning G. Factors Associated with Resilience Among Medical Staff in Radiology Departments During The Outbreak of 2019 Novel Coronavirus Disease (COVID-19): A Cross-Sectional Study. Med Sci Monit 2020; 26:e925669. [PMID: 32468998 PMCID: PMC7282347 DOI: 10.12659/msm.925669] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Background A growing body of evidence suggests that in the face of life adversity, threats, or other major stressful events, resilience is more conducive to individual adaptation and growth. Material/Methods The Connor-Davidson Resilience Scale and the Chinese Perceived Stress Scale were used to evaluate the resilience and perceived stress of 600 medical staff members from the radiology departments in 32 public hospitals in Sichuan Province, China, respectively. Multiple linear regression was used to analyze factors related to resilience. Results The total resilience score was 65.76±17.26, wherein the toughness dimension score was 33.61±9.52, the strength dimension score was 21.25±5.50, and the optimism dimension score was 10.91±3.15. There was a significant negative correlation between perceived stress and resilience (r=−0.635, P<0.001). According to multivariate analysis, the total perceived stress score (β=−1.318, P<0.001), gender (β=−4.738, P<0.001), knowledge of COVID-19 (β=2.884, P=0.043), knowledge of COVID-19 protective measures (β=3.260, P=0.042), and availability of adequate protective materials (β=−1.268, P=0.039) were independent influencing factors for resilience. Conclusions The resilience level of the medical staff in the radiology departments during the outbreak of COVID-19 was generally low, particularly regarding toughness. More attention should be paid to resilience influence factors such as high perceived stress, female gender, lack of understanding of COVID-19 and protective measures, and lack of protective materials, and targeted interventions should be undertaken to improve the resilience level of the medical staff in the radiology departments during the outbreak of COVID-19.
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Affiliation(s)
- Lei Huang
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Xuchang University, Xuchang, Henan, China (mainland)
| | - Yun Wang
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Juan Liu
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Pengfei Ye
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Bochao Cheng
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Huayan Xu
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Haibo Qu
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
| | - Gang Ning
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China (mainland)
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21
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Wang J, Sun W, Tang X, Xu L, Wei Y, Cui H, Tang Y, Hui L, Jia Q, Zhu H, Wang J, Zhang T. Transdiagnostic Dimensions towards Personality Pathology and Childhood Traumatic Experience in a Clinical Sample: Subtype Classification by a Cross-sectional Analysis. Sci Rep 2019; 9:11248. [PMID: 31375755 PMCID: PMC6677786 DOI: 10.1038/s41598-019-47754-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 07/23/2019] [Indexed: 12/23/2022] Open
Abstract
Psychiatric disorders are highly heterogeneous syndromes often explained by underlying and internalized personality disorder(PD) traits that are affected by externalized childhood trauma experiences(CTE). The present study investigated the differential subtype model by examining the association between PD traits and CTE in a clinical sample with transdiagnostic psychopathology. Outpatients(n = 2090) presenting for psychiatric treatment completed self-reported measures of PD traits(Personality Diagnostic Questionnaire) and the childhood adversity(Child Trauma Questionnaire). Canonical variates were generated by canonical correlation analysis(CCA) and then used for hierarchical cluster analysis to produce subtypes. A support vector machine(SVM) model was used and validated using a linear kernel to assess the utility of the extracted subtypes of outpatients in clinical diagnosis classifications. The CCA determined two linear combinations: emotional abuse related dissociality PD traits(antisocial and paranoid PD) and emotional neglect related sociality PD traits(schizoid, passive-aggressive, depressive, histrionic, and avoidant PD). A cluster analysis revealed three subtypes defined by distinct and relatively homogeneous patterns along two dimensions, and comprising 17.5%(cluster-1, n = 365), 34.8%(cluster-2, n = 727), and 47.8%(cluster-3, n = 998) of the sample, each with distinctive features of PD traits and CTE. These subtypes suggest more distinct PD trait correlates of CTE manifestations than were captured by clinical phenomenological diagnostic definitions. Our results highlight important subtypes of psychiatric patients that highlight PD traits and CTE that transcend current diagnostic boundaries. The three different subtypes reflect significant differences in PD and CTE characteristics and lend support to efforts to develop PD and childhood trauma targeted psychotherapy that extends to clinical diagnosis-based interventions.
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Affiliation(s)
- JunJie Wang
- Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow Unversity, Soochow Unversity, Suzhou, Jiangsu, 215137, China
| | - Wei Sun
- Department of Neurosurgery, Pu Nan Hospital, Shanghai, 200125, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, P.R. China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, P.R. China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, P.R. China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, P.R. China
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, P.R. China
| | - Li Hui
- Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow Unversity, Soochow Unversity, Suzhou, Jiangsu, 215137, China
| | - QiuFang Jia
- Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow Unversity, Soochow Unversity, Suzhou, Jiangsu, 215137, China
| | - Hongliang Zhu
- Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow Unversity, Soochow Unversity, Suzhou, Jiangsu, 215137, China.
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, P.R. China. .,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai, P.R. China. .,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.
| | - TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, P.R. China.
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22
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Jiang X, Wang J, Sun W, Xu L, Tang X, Cui H, Wei Y, Hui L, Qiao Y, Wang J, Zhang T. Frequency of narcissistic personality disorder in a counseling center population in China. BMC Psychiatry 2019; 19:212. [PMID: 31277613 PMCID: PMC6612070 DOI: 10.1186/s12888-019-2185-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 06/17/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Narcissistic personality disorder (NPD) has never been applied in Chinese clinical practice, and the distribution of NPD in the clinical population of China is largely unknown. The current study uses two-stage clinic-based screening to investigate the frequency and clinical features of NPD in a Chinese help-seeking sample. METHODS A total of 1402 consecutive outpatients ages 18-60 were recruited during their visit to the Shanghai Mental Health Center and screened with the Personality Diagnostic Questionnaire Fourth Edition Plus (PDQ-4+) and Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) Axis II (SCID-II). The structured clinical interview was administered to estimate the rate of NPD and the frequency of each disorder criterion. RESULTS The frequency estimate of NPD in the total sample was 4.0%. Among the 56 outpatients who met the criteria for NPD, there were more males than females, and many had a better educational background. The SCID-II interviews revealed high frequencies of diagnostic criterion 1 ("exaggerated sense of self-importance. NPD likely overlaps with Histrionic PD, Borderline PD, and Paranoid PD. This two stage screening method can enhance detection of Chinese NPD patients in clinical settings. CONCLUSIONS Narcissism pathology is not rare in the Chinese psychiatric community when using the DSM-IV NPD criteria. Existing evidence suggests, at least indirectly, that there are important benefits of NPD diagnosis in psychiatric practice.
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Affiliation(s)
- XueFeng Jiang
- 0000 0004 1782 6212grid.415630.5Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030 People’s Republic of China
| | - JunJie Wang
- 0000 0004 1782 6212grid.415630.5Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030 People’s Republic of China ,0000 0001 0198 0694grid.263761.7Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow University, Suzhou, 215137 Jiangsu China
| | - Wei Sun
- Department of Neurosurgery, Pu Nan Hospital, Shanghai, 200125 China
| | - LiHua Xu
- 0000 0004 1782 6212grid.415630.5Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030 People’s Republic of China
| | - XiaoChen Tang
- 0000 0004 1782 6212grid.415630.5Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030 People’s Republic of China
| | - HuiRu Cui
- 0000 0004 1782 6212grid.415630.5Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030 People’s Republic of China
| | - YanYan Wei
- 0000 0004 1782 6212grid.415630.5Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030 People’s Republic of China
| | - Li Hui
- 0000 0001 0198 0694grid.263761.7Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Soochow University, Suzhou, 215137 Jiangsu China
| | - Yi Qiao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030, People's Republic of China.
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030, People's Republic of China. .,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, People's Republic of China. .,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), 600 Wanping Nan Road, Shanghai, 200030, People's Republic of China.
| | - TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), 600 Wanping Nan Road, Shanghai, 200030, People's Republic of China.
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23
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Wang J, Chen Z, Sun W, Zheng Y, Hui L, Liu X, Wang J, Wu H, Qiao Y, Zhang T. A Strategy to Address High Comorbidity of Personality Disorders in a Chinese Population: A Principal and Subordinate Diagnostic Model. Psychiatry 2019; 82:272-282. [PMID: 31017559 DOI: 10.1080/00332747.2019.1600218] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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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Zheng Y, Severino F, Hui L, Wu H, Wang J, Zhang T. Co-Morbidity of DSM-IV Personality Disorder in Major Depressive Disorder Among Psychiatric Outpatients in China: A Further Analysis of an Epidemiologic Survey in a Clinical Population. Front Psychiatry 2019; 10:833. [PMID: 31798478 PMCID: PMC6863182 DOI: 10.3389/fpsyt.2019.00833] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 10/21/2019] [Indexed: 01/03/2023] Open
Abstract
Introduction: It is common that personality disorder (PD) co-occurs with major depressive disorder (MDD). In the current literature, there is a dearth of information on the co-occurrence of PD and MDD among Chinese population. Materials and Methods: 609 individuals were randomly sampled from outpatients diagnosed as MDD in Shanghai Mental Health Center. Co-morbidity of PDs was assessed using the Personality Diagnostic Questionnaire Fourth Edition Plus (PDQ-4+) and eligible subjects were interviewed with the Structured Clinical Interview for DSM-IV Axis II (SCID-II). The score of PDQ-4+ and the rate of SCID-II PD between subjects diagnosed with MDD and those with anxiety disorders (AD) were compared. Results: Two hundred fifty-eight outpatients (42.36%) with MDD were recognized to possess at least one criterion of diagnosis for PD, according to the DSM-IV. The most prevalent PD was depressive PD (14.61%), followed by avoidant (11.49%) and borderline (11.49%) PD. Cluster C PDs (anxious and panic PD) were the most common PD types (12.12%) when compared to other clusters. Compared to patients with AD, individuals with MDD were significantly more likely to have paranoid PD (6.6% vs. 3.3%, p = 0.011), borderline PD (11.5% vs. 3.7%, p = 0.000), passive-aggressive PD (5.6% vs. 2.4%, p = 0.007), and depressive PD (14.6% vs. 7.8%, p = 0.000). Discussion: The finding indicates that there is a high prevalence of PD among patients with MDD. More significant co-morbidity rates of PDs in MDD have been found when compared with AD. Further studies for the longitudinal impact of the PD-MDD co-morbidity are in need.
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Affiliation(s)
- Yuchen Zheng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Francesca Severino
- Department of Public Health, Laboratory for Mother and Child Health, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Li Hui
- Institute of Mental Health, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Chinaz
| | - HaiSu Wu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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25
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Gaines AD. The Heart of the Meaning: Honoring the Work of Byron J. Good. Cult Med Psychiatry 2018; 42:740-754. [PMID: 30465230 DOI: 10.1007/s11013-018-9610-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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26
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Innocent S, Podder P, Ram JR, Barnicot K, Sen P. Using the SAPAS to identify risk for personality disorders among psychiatric outpatients in India: A feasibility study. Personal Ment Health 2018; 12:15-24. [PMID: 29052355 DOI: 10.1002/pmh.1394] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Revised: 06/22/2017] [Accepted: 07/30/2017] [Indexed: 11/09/2022]
Abstract
Personality disorders (PDs) are common among psychiatric outpatients and are associated with increased morbidity and worse treatment outcomes. Epidemiological research conducted among this population in Asian countries is limited, reflecting a significant gap in the current literature. One barrier to this research is the lack of appropriate screening tools. The current research assessed the feasibility of using the SAPAS (Standardized Assessment of Personality-Abbreviated Scale) screening tool to identify individuals at high risk of PD in an Indian psychiatric outpatient population and provides an initial estimate of PD prevalence by using a validated diagnostic interview, the ICD-10 International Personality Disorder Examination. The findings suggest that whilst use of the SAPAS was feasible, acceptable to patients and led to clinically useful findings, when using the recommended cut-off score of 4, the SAPAS largely overdiagnoses the risk for PD in psychiatric outpatients in India (positive predictive value = 26.3%). The estimated prevalence of personality disorder in the sample was 11.1%, based on administering the International Personality Disorder Examination diagnostic interview to high-risk patients scoring 4 and above on the SAPAS, which is higher than previous estimates for this population and still likely to be an underestimation. Future studies should translate the measure into Bengali and evaluate its sensitivity and specificity at different cut-off points in order to optimize its use in Indian populations. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
| | - Priyanka Podder
- Mental Health Foundation, University of Calcutta, Kolkata, India
| | | | | | - Piyal Sen
- Elysium Healthcare, King's College London, London, UK
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A compromise solution between overlapping and overlooking DSM personality disorders in Chinese psychiatric practice. Soc Psychiatry Psychiatr Epidemiol 2018; 53:99-106. [PMID: 28956087 DOI: 10.1007/s00127-017-1444-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Accepted: 09/22/2017] [Indexed: 10/18/2022]
Abstract
OBJECTIVE This study aimed to examine the overlaps between the Diagnostic and Statistical Manual-5 (DSM-5) Personality Disorders (PDs) in a high-risk clinical population and to explore a transitional model for implementing DSM-5 PDs. METHOD A sample population of 982 outpatients with at least one diagnosed PD was selected from 3,075 outpatients of the Shanghai Mental Health Center. The diagnostic process comprised of a personality diagnostic questionnaire and a structured clinical interview. RESULTS 685 (22.3%) patients were diagnosed with at least one of six PDs (antisocial, avoidant, borderline, narcissistic, obsessive-compulsive, and schizotypal) under the alternative DSM-5 model for personality disorders proposed in Section III of the DSM-5. Nearly 20.3% of the subjects with PD met criteria for at least two PDs (of the 685 PD patients/6 PD model). Cluster and principal component analyses suggest a transitional model for the 7 specific PD categories (among the 722 PD patients, the overlapping rate was 24.1%) will be more appropriate for PD diagnosis in China. CONCLUSIONS Using the simplified PD categories in the alternative DSM-5 model for personality disorders will reduce the overlaps in PD diagnoses in Chinese psychiatric practice, and should be preferred over the DSM-5 PD diagnostic system.
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Wei Y, Zhang T, Chow A, Tang Y, Xu L, Dai Y, Liu X, Su T, Pan X, Cui Y, Li Z, Jiang K, Xiao Z, Tang Y, Wang J. Co-morbidity of personality disorder in schizophrenia among psychiatric outpatients in China: data from epidemiologic survey in a clinical population. BMC Psychiatry 2016; 16:224. [PMID: 27391323 PMCID: PMC4939030 DOI: 10.1186/s12888-016-0920-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2015] [Accepted: 06/22/2016] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The reported rates of personality disorder (PD) in subjects with schizophrenia (SZ) are quite varied across different countries, and less is known about the heterogeneity of PD among subjects with SZ. We examined the co-morbidity of PD among patients who are in the stable phase of SZ. METHOD 850 subjects were randomly sampled from patients diagnosed with SZ in psychiatric and psycho-counseling clinics at Shanghai Mental Health Center. Co-morbidity of PDs was assessed through preliminary screening and patients were administered several modules of the SCID-II. Evidence of heterogeneity was evaluated by comparing patients diagnosed with SZ with those who presented with either affective disorder or neurosis (ADN). RESULTS 204 outpatients (24.0 %) in the stable phase of SZ met criteria for at least one type of DSM-IV PD. There was a higher prevalence of Cluster-A (odd and eccentric PD) and C (anxious and panic PD) PDs in SZ (around 12.0 %). The most prevalent PD was the paranoid subtype (7.65 %). Subjects with SZ were significantly more likely to have schizotypal PD (4.4 % vs. 2.1 %, p = 0.003) and paranoid PD (7.6 % vs. 5.4 %, p = 0.034), but much less likely to have borderline, obsessive-compulsive, depressive, narcissistic and histrionic PD. CONCLUSIONS These findings suggest that DSM-IV PD is common in patients with SZ than in the general population. Patterns of co-morbidity with PDs in SZ are different from ADN.
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Affiliation(s)
- YanYan Wei
- Department of Medical Psychology, Faculty of Mental Health, Second Military Medical University, Shanghai, 200433 People’s Republic of China ,Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030 People’s Republic of China
| | - TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030 People’s Republic of China
| | - Annabelle Chow
- Department of Psychological Medicine, Changi General Hospital, Singapore, Singapore
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030 People’s Republic of China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030 People’s Republic of China
| | - YunFei Dai
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030 People’s Republic of China
| | - XiaoHua Liu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030 People’s Republic of China
| | - Tong Su
- Department of Medical Psychology, Faculty of Mental Health, Second Military Medical University, Shanghai, 200433 People’s Republic of China
| | - Xiao Pan
- Department of Medical Psychology, Faculty of Mental Health, Second Military Medical University, Shanghai, 200433 People’s Republic of China
| | - Yi Cui
- Department of Medical Psychology, Faculty of Mental Health, Second Military Medical University, Shanghai, 200433 People’s Republic of China
| | - ZiQiang Li
- Department of Medical Psychology, Faculty of Mental Health, Second Military Medical University, Shanghai, 200433 People’s Republic of China
| | - KaiDa Jiang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030 People’s Republic of China
| | - ZePing Xiao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030 People’s Republic of China
| | - YunXiang Tang
- Department of Medical Psychology, Faculty of Mental Health, Second Military Medical University, Shanghai, 200433, People's Republic of China.
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, 600 South Wanping Road, Shanghai, 200030, People's Republic of China. .,Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai, People's Republic of China.
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Dépistage des troubles de la personnalité avec la version française du Personality Diagnostic Questionnaire-4+ dans une population psychiatrique : une étude préliminaire. ANNALES MEDICO-PSYCHOLOGIQUES 2016. [DOI: 10.1016/j.amp.2014.10.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Comorbidity of personality disorder in obsessive-compulsive disorder: special emphases on the clinical significance. CNS Spectr 2015; 20:466-8. [PMID: 26425800 DOI: 10.1017/s1092852915000607] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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31
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Zhang T, Li H, Tang Y, Li H, Zheng L, Guo Q, Zhao S, Zhuo K, Qian Z, Wang L, Dai Y, Chow A, Li C, Jiang K, Wang J, Xiao Z. Screening schizotypal personality disorder for detection of clinical high risk of psychosis in Chinese mental health services. Psychiatry Res 2015; 228:664-70. [PMID: 26165958 DOI: 10.1016/j.psychres.2015.04.049] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Revised: 03/13/2015] [Accepted: 04/20/2015] [Indexed: 11/28/2022]
Abstract
Schizotypal personality disorder (SPD) is viewed as a marker of prodromal psychosis. However, information regarding genetic risk (e.g. SPD) is often overlooked in the identification process. This study assessed whether SPD screening questionnaire help the prodromal psychosis (also widely applied "clinical high risk" (CHR) for clinical sample) detection in Chinese mental health service. This work also examined whether SPD had higher frequency in genetic risk population and CHR subjects. Two wave studies concerning the SPD identification was used for analysis. Wave 1 survey: 3075 subjects were assessed by Personality Diagnostic Questionnaire for SPD (PDQ-SPD) and Structured Clinical Interview for DSM-IV Axis II (SCID-II). Wave 2 survey: 2113 subjects screened with the prodromal questionnaire -brief version (PQ-B), PDQ-SPD, and interviewed by Structured Interview for Prodromal Symptoms (SIPS). Subjects with family history of mental disorders or with psychosis reported significantly higher scores in SPD. Receiver operating characteristic curves suggested that PDQ-SPD had moderate sensitivity and specificity for identifying CHR subjects. There was significant higher on SPD features in subjects with early stage (Course less than 1 year) of psychosis. Identifying SPD may be useful in early detection of psychosis especially in detecting the genetic risk syndromes and can be integrated with existing prodromal screen tools to improve its efficiency.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - HuiJun Li
- Florida A & M University, Department of Psychology, Tallahassee, FL 32307, USA
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - Hui Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - LiNa Zheng
- Liaocheng People׳s Hospital, Shandong, PR China
| | - Qian Guo
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - ShanShan Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - KaiMing Zhuo
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - ZhenYing Qian
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - LanLan Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - YunFei Dai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - Annabelle Chow
- Changi General Hospital, Department of Psychological Medicine, Singapore
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - KaiDa Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China.
| | - ZePing Xiao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China.
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Wongpakaran N, Wongpakaran T, Boonyanaruthee V, Pinyopornpanish M, Intaprasert S. Comorbid personality disorders among patients with depression. Neuropsychiatr Dis Treat 2015; 11:1091-6. [PMID: 25945052 PMCID: PMC4407757 DOI: 10.2147/ndt.s82884] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
PURPOSE To investigate the personality disorders (PDs) diagnosed in patients with depressive disorders. MATERIAL AND METHODS This study included a cross-sectional analysis, and was an extension of the Thai Study of Affective Disorder (THAISAD) project. Eighty-five outpatients with depressive disorders were interviewed using the Mini International Neuropsychiatric Inventory to assess for depression, in accordance with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision and using the Thai version of the Structured Clinical Interview for PDs to assess for PD. RESULTS Seventy-seven percent of the patients had at least one PD, 40% had one PD and 60% had two or more PDs (mixed cluster). The most common PDs found were borderline PD (20%) and obsessive-compulsive PD (10.6%), while the occurrence of avoidant PD was low when compared to the findings of previous, related studies. Among the mixed cluster, cluster A combined with cluster C was the common mix. Both dysthymic disorder and double depression were found to have a higher proportion of PDs than major depressive disorder (85.7% versus 76.1%). Dependent PD was found to be less common in this study than in previous studies, including those carried out in Asia. CONCLUSION The prevalence of PDs among those with depressive disorder varied, and only borderline PD seems to be consistently high within and across cultures. Mixed cluster plays a prominent role in depression, so more attention should be paid to patients in this category.
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Affiliation(s)
- Nahathai Wongpakaran
- Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Tinakon Wongpakaran
- Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | | | - Manee Pinyopornpanish
- Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Suthi Intaprasert
- Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
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de Bernier GL, Kim YR, Sen P. A systematic review of the global prevalence of personality disorders in adult Asian populations. Personal Ment Health 2014; 8:264-75. [PMID: 25182011 DOI: 10.1002/pmh.1270] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2013] [Revised: 07/14/2014] [Accepted: 07/19/2014] [Indexed: 11/06/2022]
Abstract
BACKGROUND No systematic reviews have been conducted into the prevalence of personality disorders (PD) in Asian populations. This review aims to investigate the prevalence of all PD subtypes within community and clinical Asian (Chinese, Indian, Japanese and South Korean) populations worldwide. METHOD Seven databases were searched in addition to manual examination and reference tracking. Exclusion criteria were applied with the remaining studies subjected to quality appraisal. RESULTS Nineteen studies were included for review. Results were grouped by community studies in Asian countries, clinical studies in Asian countries and comparative studies. Prevalence of PD assessed by clinical judgement was lower than that by diagnostic tools. The highest rates of PD were found in suicidal cohorts within the various countries. Four of the five comparative studies found lower prevalence rates of PD in Asians compared with the overall sample. CONCLUSION Insufficient consistent research has been published to ascertain the prevalence of PD in Asians and whether it is higher or lower than in Western cohorts. Asians presenting with suicidal ideation may benefit from PD assessment.
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Beckwith H, Moran PF, Reilly J. Personality disorder prevalence in psychiatric outpatients: a systematic literature review. Personal Ment Health 2014; 8:91-101. [PMID: 24431304 DOI: 10.1002/pmh.1252] [Citation(s) in RCA: 93] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2013] [Revised: 11/05/2013] [Accepted: 12/02/2013] [Indexed: 11/09/2022]
Abstract
INTRODUCTION A systematic literature review of studies measuring the prevalence of personality disorder in community secondary care is needed to identify both the met and unmet needs and plan services accordingly. METHODS PsycINFO, MEDLINE and EMBASE databases were searched using NHS Evidence. Only studies assessing overall personality disorder prevalence within help-seeking, outpatient populations were included. Papers were excluded for focusing solely on the prevalence of specific personality disorders or comorbid prevalence within specific populations. RESULTS A total of 269 papers were identified. Nine papers met criteria and were critically appraised, showing a high level of heterogeneity with regards to methods, inclusion criteria, source of information, time of assessment, instruments used and overall quality of research. Prevalence estimates in Europe varied between 40% and 92%, were more consistently approximated between 45% and 51% in the USA and differed significantly in the two Asian studies: 1.07% (India) and 60% (Pakistan). CONCLUSIONS The prevalence of personality disorder in community mental health care appears to be substantial, but better estimates will only emerge from high quality studies with greater consistency of method. Implementing screening tools within outpatient or community services may result in high rates of personality disorder identification, with both clinical and service implications.
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Affiliation(s)
- Helen Beckwith
- Mental Health Research Centre, Durham University, Stockton-on-Tees, TS17 6BH, UK
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Zhang T, Li H, Woodberry KA, Seidman LJ, Zheng L, Li H, Zhao S, Tang Y, Guo Q, Lu X, Zhuo K, Qian Z, Chow A, Li C, Jiang K, Xiao Z, Wang J. Prodromal psychosis detection in a counseling center population in China: an epidemiological and clinical study. Schizophr Res 2014; 152:391-9. [PMID: 24387999 PMCID: PMC4441955 DOI: 10.1016/j.schres.2013.11.039] [Citation(s) in RCA: 110] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2013] [Revised: 11/17/2013] [Accepted: 11/29/2013] [Indexed: 12/28/2022]
Abstract
BACKGROUND To investigate through a two-stage clinic-based screening, the frequency and clinical features of risk for psychosis syndromes in a Chinese help-seeking sample. METHOD 2101 consecutive new patients ages 15-45 were recruited at their first visit to the Shanghai Mental Health Center (SMHC) and screened with the Prodromal Questionnaire-Brief version (PQ-B) and questions about genetic risk. The Structured Interview for Prodromal Syndromes (SIPS) was administered to a sub-sample to estimate rates of psychosis and clinical high risk (CHR) for psychosis syndromes. RESULTS The frequency estimate of CHR syndromes in the total sample was 4.2%. Among 89 CHR patients, more than two-thirds met the criteria for Attenuated Positive Symptom Syndrome (APSS); and nearly a quarter met the criteria for Genetic Risk and Deterioration Syndrome (GRDS). The frequency of CHR syndromes peaked between the ages of 16 and 21years old and declined with subsequent age. The mean total and distress scores on the PQ-B in subjects with APSS and psychosis were significantly higher than in individuals with GDRS and patients without psychosis or CHR. High frequencies and strong correlations were found among some positive and non-specific symptoms in SIPS interviews. Among the 53 CHR participants who were followed-up for two years, 14 (26.4%) converted to psychosis. Of the non-converters, 53.8% were diagnosed with Axis I disorders. CONCLUSIONS This two stage screening method can enhance detection of Chinese CHR patients in clinical settings. The validity of the procedures for detecting CHR is supported by rates of transition to psychosis and of non-converter Axis I disorders that are comparable to those reported in meta-analyses.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - HuiJun Li
- Florida A & M University, Department of Psychology, Tallahassee, Florida 32307, USA,Harvard Medical School Department of Psychiatry, Beth Israel Deaconess Medical Center, 75 Fenwood Rd, Boston, MA 02115, USA
| | - Kristen A. Woodberry
- Harvard Medical School Department of Psychiatry, Beth Israel Deaconess Medical Center, 75 Fenwood Rd, Boston, MA 02115, USA
| | - Larry J. Seidman
- Harvard Medical School Department of Psychiatry, Beth Israel Deaconess Medical Center, 75 Fenwood Rd, Boston, MA 02115, USA
| | - LiNa Zheng
- Liaocheng People’s Hosptial, Shandong, PR China
| | - Hui Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - ShanShan Zhao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - Qian Guo
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - Xi Lu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - KaiMing Zhuo
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - ZhenYing Qian
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - Annabelle Chow
- Changi General Hospital, Department of psychological medicine, Singapore
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - KaiDa Jiang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - ZePing Xiao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China,Corresponding author JiJun Wang MD, PhD, or Co-corresponding author ZePing Xiao, MD, PhD, Shanghai Mental Health Center, 600 South Wanping Road, Shanghai 200030, PR China., or , Tel: +86-21-34289888 Ext.3065 Fax: +86-21-64387986
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China,Corresponding author JiJun Wang MD, PhD, or Co-corresponding author ZePing Xiao, MD, PhD, Shanghai Mental Health Center, 600 South Wanping Road, Shanghai 200030, PR China., or , Tel: +86-21-34289888 Ext.3065 Fax: +86-21-64387986
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Zhang T, Chow A, Wang L, Yu J, Dai Y, Lu X, Good MJD, Good BJ, Xiao Z. Childhood maltreatment profile in a clinical population in China: a further analysis with existing data of an epidemiologic survey. Compr Psychiatry 2013; 54:856-64. [PMID: 23597603 PMCID: PMC4144995 DOI: 10.1016/j.comppsych.2013.03.014] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2012] [Revised: 02/20/2013] [Accepted: 03/04/2013] [Indexed: 10/27/2022] Open
Abstract
To determine the lifetime prevalence and diverse profiles of types of childhood maltreatment (CM) in a high-risk clinical sample using standardized assessment tools (Child Trauma Questionnaire, CTQ) in China, Shanghai, 2090 subjects were sampled from the Shanghai Mental Health Centre. Personality disorder (PD) was assessed using the Personality Diagnostic Questionnaire (PDQ-4+) and subjects were interviewed using the Structured Clinical Interview (SCID-II). CTQ was used to assess CM in five domains (emotional abuse, EA; physical abuse, PA; sexual abuse, SA; emotional neglect, EN; and physical neglect, PN). The prevalence estimate of EA in the sample is 22.2%, followed by 17.8% of PA, and 12.5% of SA. The prevalence estimate was more frequent in PN (65.0%) and in EN (34.0%) than in childhood abuse (EA, PA and SA). It seems that males reported more PA and females reported more SA, the older subjects reported more neglect and the younger subjects reported more abuse. There was a higher prevalence of EA and SA in borderline PD patients (44.4%, 22.5%), PA in antisocial PD patients (38.9%). Multi-PD patients reported more forms of CM in childhood. Additionally, factor analysis of CTQ items confirmed factorial validity by identifying a five-factor structure that explained 50% of the total variance. These findings support the view that prevalence of CM was commonly experienced in clinical population during their childhood, especially for subjects with PDs. Factorial validity in PN needs to be further improved, and can in part be culturally explained.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - Annabelle Chow
- Deakin University, School of Psychology, Melbourne, Australia
| | - LanLan Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - JunHan Yu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - YunFei Dai
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - Xi Lu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China
| | - Mary-Jo D. Good
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Byron J. Good
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - ZePing Xiao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, PR China, Correspondence to Zeping Xiao, MD, PhD, Shanghai Mental Health Center, 600 South Wanping Road, Shanghai 200030, PR China. , or
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Zhang T, Good MJD, Good BJ, Chow A, Wang L, Dai Y, Xiao Z. Age and remission of personality pathology in the psychotic disorders compared to mood and/or anxiety disorders. Int J Psychiatry Med 2012; 44:241-55. [PMID: 23586279 PMCID: PMC4144994 DOI: 10.2190/pm.44.3.e] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
In order to explore age-related differences in personality pathology between psychotic disorder (PSD) and mood and/or anxiety disorder (MAD) among psychiatric outpatients, 2,354 subjects were sampled randomly from outpatients in Shanghai and divided into two groups: PSD (N = 951) and MAD (N = 1403). Dimensional scores for personality disorder (PD) traits were assessed by using a self-reported personality diagnostic questionnaire (PDQ4+). Significant age differences were observed in most of the PD traits in MAD patients. Cluster B and C PD traits displayed an apparent decrease with age in MAD group, but such decline trend was not evident in PSD group. In both groups, the decline of self-reported Cluster A PD traits were less visible than the other clusters. Age-related mellowing of some PD traits such as "dramatic, erratic, anxious" occurred primarily in MAD patients; however the same traits in PSD patients appear to be less resistant to aging. Besides, "old eccentric" PD traits in both MAD and PSD patients seem to be maintained and less modified by aging.
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Affiliation(s)
| | - Mary-Jo D. Good
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Byron J. Good
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Annabelle Chow
- Deakin University, School of Psychology, Melbourne, Australia
| | - Lanlan Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, China 200030
| | - Yunfei Dai
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, China 200030
| | - Zeping Xiao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, China 200030, Correspondence to Zeping Xiao, MD, PhD, or Tianhong Zhang, M.D. Shanghai Mental Health Center, 600 South Wanping Road, Shanghai 200030, PR China.
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