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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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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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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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GÖKDAĞ C, KIZILTEPE R. Risk Factors in Depression and Anxiety Disorders from the Framework of Developmental Psychopathology. PSIKIYATRIDE GUNCEL YAKLASIMLAR - CURRENT APPROACHES IN PSYCHIATRY 2023. [DOI: 10.18863/pgy.1118163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
Abstract
Depression and anxiety disorders are among the most prevalent psychiatric disorders that negatively affect individuals’ life in many ways. Understanding how these highly comorbid emotional disorders develop and persist might guide prevention, intervention, and treatment studies. Some common vulnerability factors underlie depression and anxiety disorders. Developmental psychopathology deals with these vulnerabilities and risk factors from a lifetime perspective. The aim of this review is to present the risk factors associated with depression and anxiety from the perspective of developmental psychopathology. For this purpose, we discussed genetic and biological factors, temperament, negative childhood experiences, family and peer relationships, and some cognitive and emotional factors as risk factors. Also, we discussed how these risk factors lead to depression and anxiety disorders. This review emphasizes that some common transdiagnostic risk factors underlie emotional disorders and highlights the importance of a developmental psychopathology perspective to understand the developmental pathways of depression and anxiety disorders.
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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: 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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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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Wang Q, Liu G, Li J, Zhang M, Chen H, Chen C, Wang C, Liu N, Zhang N. Effects of interaction of NOS1AP gene polymorphisms and childhood abuse on paranoid personality disorder features among male violent offenders in China. J Psychiatr Res 2020; 130:180-186. [PMID: 32828023 DOI: 10.1016/j.jpsychires.2020.07.026] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 07/02/2020] [Accepted: 07/20/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Paranoid Personality Disorder (PPD) results from a complex synergy between genetic and environmental factors. Childhood abuse is one of risk factors. Nitric Oxide Synthase 1 Adaptor Protein (NOS1AP) is a candidate gene of schizophrenia, which has similar pathophysiology to PPD. This study investigated the role of NOS1AP gene polymorphisms and a history of childhood abuse in predicting PPD features among male violent offenders in the Chinese Han population. METHOD Four NOS1AP Single Nucleotide Polymorphisms (SNPs), rs4145621, rs3751284, rs348624 and rs6680461 were genotyped in a sample of 423 male prisoners. Participant evaluations included demographic information, measures of childhood abuse (Child Trauma Questionnaire, CTQ), and PPD features (Personality Diagnostic Questionnaire-4, PDQ-4). Participants were divided into a PPD group and non-PPD group assessed by PDQ-4. RESULTS Regression analysis revealed that emotional abuse, NOS1AP SNPs rs348624 and rs4145621 predicted PPD features (P < 0.05) among prison samples. Significant interactions between childhood abuse history and NOS1AP SNPs rs3751284 and rs6680461 were also observed. Individuals carrying the C allele of rs3751284 were susceptible to PPD features when exposed to higher levels of emotional neglect (P < 0.05); Individuals with the G allele of rs6680461 were susceptible to PPD features when exposed to higher levels of emotional, physical and sexual abuse (P < 0.01). CONCLUSIONS These results suggest that the interaction between childhood abuse and NOS1AP gene polymorphisms may have an influence on PPD features, at least in male violent offenders.
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Affiliation(s)
- Qiuyu Wang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Gang Liu
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jinyang Li
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Min Zhang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Haocheng Chen
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; The Forth School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Chen Chen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Chun Wang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.
| | - Na Liu
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Ning Zhang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China
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The feasibility and survival mechanism of a large free flap supported by a novel hybrid perfusion mode. Oral Oncol 2019; 101:104506. [PMID: 31863964 DOI: 10.1016/j.oraloncology.2019.104506] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 10/31/2019] [Accepted: 11/26/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVES In this study, we presented a novel hybrid perfusion mode in an attempt to provide a new strategy to improve the survival of an extended large flap and discuss its possible mechanisms. MATERIALS AND METHODS A 14 × 10 cm flap was designed on the rabbit abdomen. Ninety-six rabbits were randomly divided into three groups based on the flap perfusion mode: control group I (CON 1, physiological perfusion mode with bilateral deep inferior epigastric vascular pedicles intact), control group II (CON 2, physiological perfusion mode with single deep inferior epigastric vascular pedicle intact), hybrid nourished group (physiological perfusion as in CON 2 combined with arterialized venous nonphysiological perfusion mode, referred to as a hybrid perfusion mode). Flap survival, status of vascular perfusion, microvasculature, histopathology, expression of CD34, eNOs, VEGF and metabolic status of the flaps by LC-MS were assessed in each group. RESULTS The results of "hybrid nourished" flaps were similar to the traditional flaps in terms of flap survival, level of vascular perfusion and microvasculature except the status of metabolites. CONCLUSIONS The feasibility of this novel hybrid perfusion mode will greatly extend the indications of flap transfer and efficiently improve the survival reliability of large flaps. In a sense, this mode will be an ideological emancipation for the field of flap surgery.
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