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Abd Elgawad A, Elbatrawy A, Shorub E, Ramadan M, Elkhatib H. Autistic traits and obsessive-compulsive personality traits in OCD patients. MIDDLE EAST CURRENT PSYCHIATRY 2022. [PMCID: PMC9188838 DOI: 10.1186/s43045-022-00213-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background Studies have reported a high prevalence of autism spectrum disorder in young people with obsessive-compulsive disorder with a negative effect on psychosocial functioning. However, the extent to which autism spectrum disorder and obsessive-compulsive personality disorder traits overlap and by inference, the extent to which these separately classified Diagnostic and Statistical Manual of Mental Disorders disorders five (obsessive-compulsive personality disorder, personality disorder, autism spectrum disorder, neurodevelopmental disorder) may share a nosological relationship has not so far been systematically investigated in clinical samples. This study is done to detect the frequency of obsessive-compulsive personality traits and autistic traits in a sample of patients with obsessive-compulsive disorder. Results Results revealed that younger patients had significantly more severe and extreme obsessive-compulsive disorder scores. Moreover, Structured Clinical Interview for DSM-IV (SCID-II) and Autism Spectrum Quotient analysis revealed that younger patients had a significantly higher prevalence of personality traits and autistic traits respectively. Statistical significance as many patients with severe and extreme Yale-Brown Obsessive-Compulsive Scale showed criteria of obsessive-compulsive personality disorder. No association of statistical significance was found between obsessive-compulsive disorder severity and autistic trait presence. On the contrary, statistical significance was found between autistic traits and obsessive-compulsive personality disorder. Conclusions There is the presence of comorbidity of obsessive-compulsive personality traits and autism spectrum traits in obsessive-compulsive disorder patients. Obsessive-compulsive personality traits prevalence in obsessive-compulsive disorder patients was higher than in autistic traits. Several factors of genetic predisposition, environmental factors like education and marital status, employment, and intrinsic factors as age of patients all exhibited a pivotal role in obsessive-compulsive disorder prevalence and severity.
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2
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Reich J, Schatzberg A. Prevalence, Factor Structure, and Heritability of Avoidant Personality Disorder. J Nerv Ment Dis 2021; 209:764-772. [PMID: 34582403 DOI: 10.1097/nmd.0000000000001378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT To review the community prevalence, factor structure, and heritability of avoidant personality disorder (AVPD), we reviewed the literature of empirical studies reported between years 1980 and 2020. Community point prevalence rates ranged from 0.8% to 5%, with one study of women older than 25 years finding a lifetime rate of 9.3%. A weighted point prevalence for studies involving both men and women was 3.3%. All factor analytic studies indicated a one factor solution. The themes were social inadequacy, feeling inferior, and fears of social rejection. Family studies of heritability for AVPD ranged from 0.18 to 0.56. Twin studies ranged from 0.28 to 0.71. The weighted average for heritability was 0.55. AVPD is an important clinical issue because it is prevalent in the community and has high morbidity and high heritability. Its single factor seems to suggest evaluation and treatment should be straightforward, but despite this, it tends to be underdiagnosed and undertreated.
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Affiliation(s)
| | - Alan Schatzberg
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford
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3
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Wang YM, Cai XL, Zhou HY, Zhang RT, Zhang YJ, Wang YY, Cheung EFC, Chan RCK. Altered default mode network functional connectivity in individuals with co-occurrence of schizotypy and obsessive-compulsive traits. Psychiatry Res Neuroimaging 2020; 305:111170. [PMID: 32836136 DOI: 10.1016/j.pscychresns.2020.111170] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 07/03/2020] [Accepted: 07/28/2020] [Indexed: 11/21/2022]
Abstract
In this study, we examined differences in resting-state functional connectivity between sub-regions of the Default Mode Network (DMN) and whole brain voxels in 22 individuals with high schizo-obsessive traits (SOT), 30 with high schizotypal traits (SCT) alone, 20 with high obsessive-compulsive traits (OCT) alone and 30 with low trait scores (LT). We found that the SOT group showed the most reduced functional connectivity within the DMN compared with the other groups. The SOT group also showed increased connectivity between the DMN and the Salience Network, and between the DMN and the Auditory Network compared with the LT group. The SCT group exhibited increased connectivity between the DMN and the Salience Network, and between the DMN and the Executive Control Network (ECN) compared with the LT group. The OCT group exhibited decreased connectivity within the DMN, between the DMN and the Salience Network, and between the DMN and the ECN compared with the LT group. These findings highlight different changes in DMN-related functional connectivity associated with high SOT, SCT and OCT traits and may provide insight into the dysfunctional brain networks in the early stage of schizophrenia spectrum disorders.
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Affiliation(s)
- Yong-Ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100190, PR China; Sino-Danish Center for Education and Research, Beijing, 100190, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100190, PR China; Sino-Danish Center for Education and Research, Beijing, 100190, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Han-Yu Zhou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Rui-Ting Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Yi-Jing Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Yan-Yu Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, PR China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100190, PR China; Sino-Danish Center for Education and Research, Beijing, 100190, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China.
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4
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Optimism and coping: do they influence health outcomes in women with breast cancer? A systemic review and meta-analysis. Breast Cancer Res Treat 2020; 183:495-501. [DOI: 10.1007/s10549-020-05800-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 07/11/2020] [Indexed: 01/14/2023]
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5
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Gadelkarim W, Shahper S, Reid J, Wikramanayake M, Kaur S, Kolli S, Osman S, Fineberg NA. Overlap of obsessive-compulsive personality disorder and autism spectrum disorder traits among OCD outpatients: an exploratory study. Int J Psychiatry Clin Pract 2019; 23:297-306. [PMID: 31375037 DOI: 10.1080/13651501.2019.1638939] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background: Whereas the phenomenology of obsessive-compulsive personality disorder (OCPD) shows similarities to that of obsessive compulsive and related disorders (OCRDs) as well as with autism spectrum disorder (ASD), the relationship between these disorders is poorly understood.Aims: Within a clinical sample, we aimed to investigate the distribution of OCD, OCPD and ASD symptoms and traits and their interrelationship, as well as to evaluate insight and treatment refractoriness.Methods: Consecutive adult OCD outpatients were assessed for OCPD traits (Compulsive Personality Assessment Scale (CPAS)), OCD symptoms (Yale-Brown Obsessive Compulsive Scale (Y-BOCS)), ASD traits (Autism Spectrum Quotient (AQ)), insight (Brown Assessment of Beliefs Scale (BABS)) and treatment resistance (clinical records). Those scoring highly on the AQ underwent a diagnostic interview for ASD.Results: Sixty-seven consenting individuals completed the CPAS, BABS and AQ, and 65 completed the Y-BOCS. Twenty-four patients (35.8%) were diagnosed with OCPD. Patients with OCPD were less likely to be employed (p=.04). They demonstrated elevated AQ scores (p=.004) and rates of ASD diagnosis (54.2%) (p <.001). OCPD traits (CPAS) showed a highly significant correlation with ASD traits (AQ) (p<.001), and no association with Y-BOCS, BABS or treatment resistance.Conclusions: In an OCD cohort limited by small size, OCPD associated strongly with unemployment and ASD, with implications for diagnosis, treatment and outcome.KEY POINTSClinicians should exercise a high level of vigilance for OCPD and ASD in patients presenting with obsessive compulsive symptoms.The presence of OCPD may indicate a likelihood of disabling ASD traits, including cognitive inflexibility, poor central coherence and poor social communication.These neuropsychological factors may require separate clinical intervention strategies.
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Affiliation(s)
- W Gadelkarim
- Rosanne House, Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK.,Derwent Centre, Essex Partnership University NHS Foundation Trust, Harlow, UK
| | - S Shahper
- Department of Life and Medical Science, University of Hertfordshire, Hatfield, UK
| | - J Reid
- Highly Specialised OCD/BDD Services, Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK
| | - M Wikramanayake
- Cavell Centre, Cambridgeshire and Peterborough NHS Foundation Trust, Peterborough, UK
| | - S Kaur
- Highly Specialised OCD/BDD Services, Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK
| | - S Kolli
- East London NHS Foundation Trust, Bedford, UK
| | - S Osman
- Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - N A Fineberg
- Highly Specialised OCD/BDD Services, Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK.,Postgraduate Medical School, University of Hertfordshire, Hatfield, UK.,University of Cambridge, School of Clinical Medicine, Cambridge, UK
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6
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Jayaweera K, Craig JM, Zavos HMS, Abeysinghe N, De Alwis S, Andras A, Dissanayake L, Dziedzic K, Fernando B, Glozier N, Hewamalage A, Ives J, Jordan KP, Kodituwakku G, Mallen C, Rahman O, Zafar S, Saxena A, Rijsdijk F, Saffery R, Simonoff E, Yusuf R, Sumathipala A. Protocol for establishing a child and adolescent twin register for mental health research and capacity building in Sri Lanka and other low and middle-income countries in South Asia. BMJ Open 2019; 9:e029332. [PMID: 31619420 PMCID: PMC6797400 DOI: 10.1136/bmjopen-2019-029332] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Worldwide, 10%-20% of children and adolescents experience mental health conditions. However, most such disorders remain undiagnosed until adolescence or adulthood. Little is known about the factors that influence mental health in children and adolescents, especially in low and middle-income countries (LMIC), where environmental threats, such as poverty and war, may affect optimal neurodevelopment. Cohort studies provide important information on risks and resilience across the life course by enabling tracking of the effects of early life environment on health during childhood and beyond. Large birth cohort studies, including twin cohorts that can be aetiologically informative, have been conducted within high-income countries but are not generalisable to LMIC. There are limited longitudinal birth cohort studies in LMIC. METHODS We sought to enhance the volume of impactful research in Sri Lanka by establishing a Centre of Excellence for cohort studies. The aim is to establish a register of infant, child and adolescent twins, including mothers pregnant with twins, starting in the districts of Colombo (Western Province) and Vavuniya (Northern Province). We will gain consent from twins or parents for future research projects. This register will provide the platform to investigate the aetiology of mental illness and the impact of challenges to early brain development on future mental health. Using this register, we will be able to conduct research that will (1) expand existing research capacity on child and adolescent mental health and twin methods; (2) further consolidate existing partnerships and (3) establish new collaborations. The initiative is underpinned by three pillars: high-quality research, ethics, and patient and public involvement and engagement (PPIE). ETHICS AND DISSEMINATION Ethical approval for this study was obtained from the Ethics Review Committee of Sri Lanka Medical Association and Keele University's Ethical Review Panel. In addition to journal publications, a range of PPIE activities have been conducted.
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Affiliation(s)
- Kaushalya Jayaweera
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
| | - Jeffrey M Craig
- Centre for Molecular and Medical Research, School of Medicine, Faculty of Health, Deakin University, Geelong, Victoria, Australia
| | - Helena M S Zavos
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, United Kingdom
| | - Nihal Abeysinghe
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
| | - Sunil De Alwis
- Ministry of Health, Nutrition and Indigenous Medicine, Colombo, Sri Lanka
| | - Alina Andras
- Research Institute of Primary Care and Health Sciences, Keele University, Newcastle-under-Lyme, Staffordshire, United Kingdom
| | - Lasith Dissanayake
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
| | - Krysia Dziedzic
- Arthritis Research Campaign National Primary Care Centre, Stoke on Trent, UK
| | - Buddhika Fernando
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
- Research Institute of Primary Care and Health Sciences, Keele University, Newcastle-under-Lyme, Staffordshire, United Kingdom
| | - Nick Glozier
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Asiri Hewamalage
- Ministry of Health, Nutrition and Indigenous Medicine, Colombo, Sri Lanka
| | - Jonathan Ives
- Department of Population Health Sciences, Centre for Ethics in Medicine, University of Bristol, Bristol, UK
| | - Kelvin P Jordan
- Primary Care and Health Sciences, Keele University, Keele, UK
| | - Godwin Kodituwakku
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
| | - Christian Mallen
- Arthritis Research UK Primary Care Centre, Keele University, Keele, UK
| | - Omar Rahman
- Public Health, Independent University, Dhaka, Bangladesh
| | - Shamsa Zafar
- Centre of Excellence in MNCH, Health Services Academy, Islamabad, Pakistan
| | - Alka Saxena
- Genomic Research Platform and Single Cell Laboratory, Biomedical Research Centre, Guy's and Saint Thomas' Hospitals NHS Trust, London, UK
| | - Fruhling Rijsdijk
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Richard Saffery
- Cancer and Disease Epigenetics, Murdoch Childrens Research Institute, Parkville, Victoria, Australia
- Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Emily Simonoff
- Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Rita Yusuf
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | - Athula Sumathipala
- Institute for Research and Development in Health and Social Care, Colombo, Sri Lanka
- Research Institute of Primary Care and Health Sciences, Keele University, Newcastle-under-Lyme, Staffordshire, United Kingdom
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7
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Reichborn-Kjennerud T, Krueger RF, Ystrom E, Torvik FA, Rosenström TH, Aggen SH, South SC, Neale MC, Knudsen GP, Kendler KS, Czajkowski NO. Do DSM-5 Section II personality disorders and Section III personality trait domains reflect the same genetic and environmental risk factors? Psychol Med 2017; 47:2205-2215. [PMID: 28414014 DOI: 10.1017/s0033291717000824] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND DSM-5 includes two conceptualizations of personality disorders (PDs). The classification in Section II is identical to the one found in DSM-IV, and includes 10 categorical PDs. The Alternative Model (Section III) includes criteria for dimensional measures of maladaptive personality traits organized into five domains. The degree to which the two conceptualizations reflect the same etiological factors is not known. METHODS We use data from a large population-based sample of adult twins from the Norwegian Institute of Public Health Twin Panel on interview-based DSM-IV PDs and a short self-report inventory that indexes the five domains of the DSM-5 Alternative Model plus a domain explicitly targeting compulsivity. Schizotypal, Paranoid, Antisocial, Borderline, Avoidant, and Obsessive-compulsive PDs were assessed at the same time as the maladaptive personality traits and 10 years previously. Schizoid, Histrionic, Narcissistic, and Dependent PDs were only assessed at the first interview. Biometric models were used to estimate overlap in genetic and environmental risk factors. RESULTS When measured concurrently, there was 100% genetic overlap between the maladaptive trait domains and Paranoid, Schizotypal, Antisocial, Borderline, and Avoidant PDs. For OCPD, 43% of the genetic variance was shared with the domains. Genetic correlations between the individual domains and PDs ranged from +0.21 to +0.91. CONCLUSION The pathological personality trait domains, which are part of the Alternative Model for classification of PDs in DSM-5 Section III, appears to tap, at an aggregate level, the same genetic risk factors as the DSM-5 Section II classification for most of the PDs.
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Affiliation(s)
| | - R F Krueger
- Department of Psychology,University of Minnesota,Minneapolis,MN,USA
| | - E Ystrom
- Department of Mental Disorders,Norwegian Institute of Public Health,Oslo,Norway
| | - F A Torvik
- Department of Mental Disorders,Norwegian Institute of Public Health,Oslo,Norway
| | - T H Rosenström
- Department of Mental Disorders,Norwegian Institute of Public Health,Oslo,Norway
| | - S H Aggen
- Virginia Institute for Psychiatric and Behavioral Genetics,Richmond,VA,USA
| | - S C South
- Department of Psychological Sciences,Purdue University,IN,USA
| | - M C Neale
- Virginia Institute for Psychiatric and Behavioral Genetics,Richmond,VA,USA
| | - G P Knudsen
- Department of Mental Disorders,Norwegian Institute of Public Health,Oslo,Norway
| | - K S Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics,Richmond,VA,USA
| | - N O Czajkowski
- Department of Mental Disorders,Norwegian Institute of Public Health,Oslo,Norway
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Anxiety-related experience-dependent white matter structural differences in adolescence: A monozygotic twin difference approach. Sci Rep 2017; 7:8749. [PMID: 28821748 PMCID: PMC5562810 DOI: 10.1038/s41598-017-08107-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 07/14/2017] [Indexed: 01/16/2023] Open
Abstract
Anxiety is linked to deficits in structural and functional connectivity between limbic structures and pre-frontal cortices. We employed a monozygotic (MZ) twin difference design to examine the relationship between structural characteristics of the uncinate fasciculus (UF) measured by Diffusion Tensor Imaging (DTI) and anxiety symptoms in a sample of N = 100 monozygotic (genetically identical), adolescent twins. The MZ difference design allowed us focus on environmental factors that vary within twin pairs while controlling for genetic and environmental factors shared by twin pairs. Twins aged 13-18 years reported on symptoms of generalized anxiety and social phobia prior to participating in a neuroimaging visit. Regions of interest from the JHU ICBM atlas, including uncinate fasciculus and sagittal stratum as a control tract, were registered to the study template. We incorporated multiple diffusion tensor measures to characterize the white matter differences. Within twin pairs, the more anxious twin exhibited decreased fractional anisotropy (t = -2.22, p = 0.032) and axial diffusivity (t = -2.38, p = 0.022) in the left UF compared to the less anxious twin, controlling for age and gender. This study demonstrated the feasibility and advantages of adopting the MZ twin design for DTI measures in neuroimaging research.
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Baljé A, Greeven A, van Giezen A, Korrelboom K, Arntz A, Spinhoven P. Group schema therapy versus group cognitive behavioral therapy for social anxiety disorder with comorbid avoidant personality disorder: study protocol for a randomized controlled trial. Trials 2016; 17:487. [PMID: 27717405 PMCID: PMC5055701 DOI: 10.1186/s13063-016-1605-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 09/09/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Social anxiety disorder (SAD) with comorbid avoidant personality disorder (APD) has a high prevalence and is associated with serious psychosocial problems and high societal costs. When patients suffer from both SAD and APD, the Dutch multidisciplinary guidelines for personality disorders advise offering prolonged cognitive behavioral therapy (CBT). Recently there is increasing evidence for the effectiveness of schema therapy (ST) for personality disorders such as borderline personality disorder and cluster C personality disorders. Since ST addresses underlying personality characteristics and maladaptive coping strategies developed in childhood, this treatment might be particularly effective for patients with SAD and comorbid APD. To our knowledge, there are no studies comparing CBT with ST in this particular group of patients. This superiority trial aims at comparing the effectiveness of these treatments. As an additional goal, predictors and underlying mechanisms of change will be explored. METHODS/DESIGN The design of the study is a multicentre two-group randomized controlled trial (RCT) in which the treatment effect of group cognitive behavioral therapy (GCBT) will be compared to that of group schema therapy (GST) in a semi-open group format. A total of 128 patients aged 18-65 years old will be enrolled. Patients will receive 30 sessions of GCBT or GST during a period of approximately 9 months. Primary outcome measures are the Liebowitz Social Anxiety Scale Self-Report (LSAS-SR) for social anxiety disorder and the newly developed Avoidant Personality Disorder Severity Index (AVPDSI) for avoidant personality disorder. Secondary outcome measures are the MINI section SAD, the SCID-II section APD, the Schema Mode Inventory (SMI-2), the Inventory of Depressive Symptomatology Self-Report (IDS-SR), the World Health Organization Quality of Life-BREF (WHOQOL-BREF), the Difficulties in Emotion Regulation Scale (DERS), the Rosenberg Self-Esteem Scale (RSES) and the Acceptance and Action Questionnaire (AAQ-II). Data will be collected at the start, halfway and at the end of the treatment, followed by measurements at 3, 6 and 12 months post-treatment. DISCUSSION The trial will increase our knowledge on the effectiveness and applicability of both treatment modalities for patients suffering from both diagnoses. TRIAL REGISTRATION Dutch Trial Register: NTR3921 . Registered on 25 March 2013.
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Affiliation(s)
- Astrid Baljé
- Department of Anxiety, PsyQ, Lijnbaan 4, 2512 VA The Hague, The Netherlands
| | - Anja Greeven
- Department of Anxiety, PsyQ, Lijnbaan 4, 2512 VA The Hague, The Netherlands
- Institute of Psychology, Section of Clinical Psychology, Leiden University, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands
| | - Anne van Giezen
- Department of Anxiety, PsyQ, Lijnbaan 4, 2512 VA The Hague, The Netherlands
- Institute of Psychology, Section of Clinical Psychology, Leiden University, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands
| | - Kees Korrelboom
- Department of Anxiety, PsyQ, Lijnbaan 4, 2512 VA The Hague, The Netherlands
- Department of Medical and Clinical Psychology Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands
| | - Arnoud Arntz
- Department of Clinical Psychology, University of Amsterdam, PO Box 15933, 1001 NK Amsterdam, The Netherlands
| | - Philip Spinhoven
- Department of Anxiety, PsyQ, Lijnbaan 4, 2512 VA The Hague, The Netherlands
- Institute of Psychology, Section of Clinical Psychology, Leiden University, Wassenaarseweg 52, 2333 AK Leiden, The Netherlands
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10
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Ma G, Fan H, Shen C, Wang W. Genetic and Neuroimaging Features of Personality Disorders: State of the Art. Neurosci Bull 2016; 32:286-306. [PMID: 27037690 DOI: 10.1007/s12264-016-0027-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 03/03/2016] [Indexed: 12/11/2022] Open
Abstract
Personality disorders often act as a common denominator for many psychiatric problems, and studies on personality disorders contribute to the etiopathology, diagnosis, and treatment of many mental disorders. In recent years, increasing evidence from various studies has shown distinctive features of personality disorders, and that from genetic and neuroimaging studies has been especially valuable. Genetic studies primarily target the genes encoding neurotransmitters and enzymes in the serotoninergic and dopaminergic systems, and neuroimaging studies mainly focus on the frontal and temporal lobes as well as the limbic-paralimbic system in patients with personality disorders. Although some studies have suffered due to unclear diagnoses of personality disorders and some have included few patients for a given personality disorder, great opportunities remain for investigators to launch new ideas and technologies in the field.
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Affiliation(s)
- Guorong Ma
- Department of Clinical Psychology and Psychiatry, Zhejiang University School of Medicine, Hangzhou, 310058, China.,Department of Psychology and Behavioral Sciences, Zhejiang University College of Science, Hangzhou, 310007, China
| | - Hongying Fan
- Department of Clinical Psychology and Psychiatry, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Chanchan Shen
- Department of Psychology and Behavioral Sciences, Zhejiang University College of Science, Hangzhou, 310007, China
| | - Wei Wang
- Department of Clinical Psychology and Psychiatry, Zhejiang University School of Medicine, Hangzhou, 310058, China. .,Department of Psychology and Behavioral Sciences, Zhejiang University College of Science, Hangzhou, 310007, China.
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11
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Abstract
This review focuses on recent research on diagnostic aspects, etiology, and treatment of avoidant personality disorder (AVPD). Current studies stress the close relation between AVPD and social anxiety disorder, the influence of genetic factors in the development of AVPD, and the relative stability of symptoms. Treatment approaches should target the pervasive patterns of social inhibition, feelings of inadequacy, and hypersensitivity to negative evaluation. Empirical evidence for cognitive-behavior and schema therapy is promising. Few other therapeutic approaches have been developed, but until now, these have only been investigated in case studies. We conclude that AVPD qualifies as a neglected disorder and that more research specifically on avoidant personality disorder symptoms and its treatment is needed.
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