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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 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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Zhang T, Zhou L, Wei Y, Tang X, Gao Y, Hu Y, Xu L, Chen T, Liu H, Li C, Lu Z, Wang J. Heart rate variability in patients with psychiatric disorders from adolescence to adulthood. Gen Hosp Psychiatry 2023; 84:179-187. [PMID: 37562346 DOI: 10.1016/j.genhosppsych.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/28/2023] [Accepted: 08/02/2023] [Indexed: 08/12/2023]
Abstract
OBJECTIVE Age is associated with changes in autonomic nervous system activity. These changes are assessed using heart rate variability(HRV) indicators; however, the effect of age on HRV in patients with psychiatric disorders remains unclear. Our study aimed to explore this effect and determine its variance across different lifespans. METHOD Consecutive patients(N = 3315), comprising 1833 patients with psychotic disorders, 1040 with mood disorders, and 442 with anxiety disorders, were recruited. The patients were divided into four age groups: adolescence(10-24 years), early adulthood(25-39 years), middle adulthood(40-59 years), and late adulthood(60+ years). HRV indicators were measured during a 5-min rest period. RESULTS The heart rate and HRV indices were higher in the adolescent and early adulthood groups than they were in the middle and late adulthood groups(increased HRV is beneficial for health, while reduced HRV is detrimental). Age and all the HRV indices were negatively correlated(r-values 0.153-0.350, p < 0.001), with these correlation patterns being more evident in the adolescent and early adulthood groups than in the middle and late adulthood groups. Stratified by sex, the low-frequency/high-frequency ratio was higher in men than in women across most age groups(p < 0.05), except the late adulthood group(p = 0.085). Stratified by diagnosis, most HRV variables(except very low-frequency) were lower in the psychotic disorder group than they were in the mood and anxiety disorder groups, especially in middle and late adulthood patients. After adjusting for confounders, the HRV variables were significantly associated with age, while older age was associated with lower HRV. CONCLUSIONS These results indicate that the substantial reduction in HRV with age in patients with psychiatric disorders. The association remains significant after correction for sex, heart rate, and diagnoses; this may prove useful to clinical practice and further research.
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Affiliation(s)
- 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 200030, China.
| | - LinLin Zhou
- 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 200030, 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 200030, 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 200030, China
| | - YuQing Gao
- 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 200030, 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 200030, 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 200030, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Ontario, Canada; Labor and Worklife Program, Harvard University, MA, United States
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - ChunBo Li
- 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 200030, China
| | - Zheng Lu
- Department of Psychiatry, Tongji Hospital, Tongji University School of Medicine, 389 Xin Cun Road, Shanghai 200065, 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 200030, China; Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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Chen Y, Wang J, Xu L, Wei Y, Tang X, Hu Y, Zhou L, Wang J, Zhang T. Age-related changes in self-reported psychotic experiences in clinical help-seeking population: From 15 to 45 years. Early Interv Psychiatry 2022; 16:1359-1367. [PMID: 35460330 DOI: 10.1111/eip.13285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 02/08/2022] [Accepted: 03/13/2022] [Indexed: 01/15/2023]
Abstract
AIMS Psychotic experiences differ with age. It is currently unknown whether there were specific patterns and associations between the presentation of psychotic experiences and age. This study aimed to explore age-related differences (15-45 years) in self-reported psychotic experiences in a large-scale clinical population. METHODS A total of 2542 consecutive new patients aged 15-45 years were recruited on their first visit to the Shanghai Mental Health Center and screened with the PRIME Screen-Revised (PS-R). According to the clinical diagnostic information of patients from their outpatient medical records compiled by their clinicians, four diagnostic categories were applied: 1) psychotic disorder; 2) mood disorder; 3) anxiety disorder and 4) others. RESULTS The PS-R scores of self-reported psychotic experiences declined with age, except for two age ranges: ≤18 years for overall sample (≤18 vs. 19-34 years: t = 5.531, df = 2202, p < .001) and 37-40 years for female sample (37-40 vs. >40 years: t = 1.985, df = 138, p = .049), which showed upward trends, contrary to those of others. There were no significant differences in self-reported psychotic experiences between age groups in patients with psychotic disorders, while significant age differences were found in all nonpsychotic patients. CONCLUSION These findings support the view that frequent PS-R screening demonstrated that psychotic experiences decline with age in the clinical population. Early detection of psychosis should focus on not only adolescents but also women aged >36 years.
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Affiliation(s)
- YingMei Chen
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - JunJie Wang
- Institute of Mental Health, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - LinLin Zhou
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Beijing, China.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai, China
| | - TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
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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: 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: 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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Saini B, Bansal PD, Bahetra M, Sharma A, Bansal P, Singh B, Moria K, Kumar R. Relationship Pattern of Personality Disorder Traits in Major Psychiatric Disorders: A Cross-Sectional Study. Indian J Psychol Med 2021; 43:516-524. [PMID: 35210680 PMCID: PMC8826195 DOI: 10.1177/0253717621999537] [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] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Normal personality development, gone awry due to genetic or environmental factors, results in personality disorders (PD). These often coexist with other psychiatric disorders, affecting their outcome adversely. Considering the heterogeneity of data, more research is warranted. METHODS This was a cross-sectional study on personality traits in psychiatric patients of a tertiary hospital, over 1 year. Five hundred and twenty-five subjects, aged 18-45 years, with substance, psychotic, mood, or neurotic disorders were selected by convenience sampling. They were evaluated for illness-related variables using psychiatric pro forma; diagnostic confirmation and severity assessment were done using ICD-10 criteria and suitable scales. Personality assessment was done using the International Personality Disorder Examination after achieving remission. RESULTS Prevalence of PD traits and PDs was 56.3% and 4.2%, respectively. While mood disorders were the diagnostic group with the highest prevalence of PD traits, it was neurotic disorders for PDs. Patients with PD traits had a past psychiatric history and upper middle socioeconomic status (SES); patients with PDs were urban and unmarried. Both had a lower age of onset of psychiatric illness. Psychotic patients with PD traits had higher and lower PANSS positive and negative scores, respectively. The severity of personality pathology was highest for mixed cluster and among neurotic patients. Clusterwise prevalence was cluster C > B > mixed > A (47.1%, 25.2%, 16.7%, and 11.4%). Among subtypes, anankastic (18.1%) and mixed (16.7%) had the highest prevalence. Those in the cluster A group were the least educated and with lower SES than others. CONCLUSIONS PD traits were present among 56.3% of the patients, and they had many significant sociodemographic and illness-related differences from those without PD traits. Cluster C had the highest prevalence. Among patients with psychotic disorders, those with PD traits had higher severity of psychotic symptoms.
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Affiliation(s)
- Bhavneesh Saini
- Dept. of Psychiatry, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India
| | - Pir Dutt Bansal
- Dept. of Psychiatry, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India
| | - Mamta Bahetra
- Dept. of Psychiatry, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India
| | - Arvind Sharma
- Dept. of Psychiatry, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India
| | - Priyanka Bansal
- Dept. of Psychiatry, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India
| | - Baltej Singh
- Dept. of Community Medicine, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India
| | - Kavita Moria
- Dept. of Psychiatry, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India
| | - Rakesh Kumar
- Dept. of Psychiatry, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India
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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: 1.0] [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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8
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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: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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9
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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: 4] [Impact Index Per Article: 0.8] [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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10
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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: 5] [Impact Index Per Article: 1.0] [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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11
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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: 13] [Impact Index Per Article: 2.6] [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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12
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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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13
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Smulevich AB, Romanov DV, Voronova EI, Mukhorina AK, Chitlova VV, Sorokina OY. Evolution of the schizophrenic deficit concept. Zh Nevrol Psikhiatr Im S S Korsakova 2017; 117:4-14. [DOI: 10.17116/jnevro2017117914-14] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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14
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Diagnostic Stability of Psychiatric Disorders in Baqiyatallah Hospital from 1997 to 2015. HOSPITAL PRACTICES AND RESEARCH 2016. [DOI: 10.20286/hpr-010387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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15
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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: 1.9] [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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16
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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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17
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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: 20] [Impact Index Per Article: 2.2] [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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