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Blais MA, Kelley SE, Ruchensky JR, Richardson LA, Massey C, Stein MB. Deriving the Transdiagnostic Scales From the Personality Assessment Inventory and SPECTRA: Indices of Psychopathology: A Demonstration. Clin Psychol Psychother 2024; 31:e2967. [PMID: 38572780 DOI: 10.1002/cpp.2967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 12/21/2023] [Accepted: 02/21/2024] [Indexed: 04/05/2024]
Abstract
Transdiagnostic models of psychopathology address many of the shortcomings common to categorical diagnostic systems. These empirically derived models conceptualize psychopathology as a few broad interrelated and hierarchically arranged dimensions, with an overarching general psychopathology dimension, the p-factor, at the apex. While transdiagnostic models are gaining prominence in mental health research, the lack of available tools has limited their clinical translation. The present study explored the potential of creating transdiagnostic scales from the joint factor structure of the Personality Assessment Inventory, Alternative Model of Personality Disorder trait scales (AMPD), and the clinical scales of the SPECTRA: Indices of Psychopathology (SPECTRA). Exploratory factor analysis in a clinical sample (n = 212) identified five factors corresponding to the Negative Affect/Internalizing, Detachment, Antagonism/Externalizing, Disinhibition/Externalizing, and Thought Disorder transdiagnostic dimensions. Goldberg's "Bass-Ackward" method supported a hierarchical structure. Five composite transdiagnostic scales were created by summing each factor's highest loading PAI and SPECTRA scales. A global psychopathology scale was created by summing the five composite scales. All the composite scales demonstrated adequate internal consistency. Correlations between the composite scales and the NEO Five-Factor Inventory-3 provide initial validity evidence for four composite and global scales. The composite thought disorder scale had no conceptually corresponding NEO domain. Clinical implications and study limitations are discussed.
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Affiliation(s)
- Mark A Blais
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Shannon E Kelley
- Department of Clinical Psychology, William James College, Newton, Massachusetts, USA
| | - Jared R Ruchensky
- Department of Psychology & Philosophy, Sam Houston State University, Huntsville, Texas, USA
| | - Laura A Richardson
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Christina Massey
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Michelle B Stein
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Macina C, Bendel R, Walter M, Wrege JS. Somatization and Somatic Symptom Disorder and its overlap with dimensionally measured personality pathology: A systematic review. J Psychosom Res 2021; 151:110646. [PMID: 34715494 DOI: 10.1016/j.jpsychores.2021.110646] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 10/04/2021] [Accepted: 10/06/2021] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Difficulties in the assessments of Somatoform Disorders (SD) and Personality Disorders (PD) regarding operationalization, arbitrary thresholds, and reliability led to a shift from categorical to dimensional models in the DSM-5. Empirical research data postulates a continuous level of severity in both groups of diseases. The aim of this systematic review was to investigate the overlap between somatization and personality pathology. METHODS Until July 2020, we conducted a systematic literature search with PubMed, Web of Science and SCOPUS. We specifically reviewed current empirical data on the Alternative Model of Personality Disorders (AMPD) and Somatic Symptom Disorder (SSD) and SD. Data was drawn out using predefined data panels. Results were reflected in the context of the Hierarchical Taxonomy of Psychopathology (HiTOP) model. Risk of bias was assessed due to blinding, randomization, selective reporting, incomplete data, and attribution bias. RESULTS A total of eight studies (N = 2979) met the inclusion criteria. Whereas categorical measures revealed mixed results, positive correlations between SD/SSD and dimensionally measured personality functioning were present in four studies (N = 1741). In three studies (N = 2025) correlations between SD/SSD and neuroticism/negative affectivity (d = 0.22-1.041) were present. Moreover, harm avoidant (d = 0.526 - 0.826) and self-defeating traits (d = 0.892) revealed significant associations with somatization. CONCLUSIONS Dimensional personality assessments are highly neglected in patients with SSD and warrant further research. However, in line with the HiTOP model, there is tentative evidence that somatization can be described as an independent personality trait, which shows most striking overlaps with self-pathologies (Criterion A) and the trait of negative affectivity (Criterion B).
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Affiliation(s)
- Caroline Macina
- University Psychiatric Clinics (UPK) Basel, Wilhelm Klein-Strasse 27, 4002 Basel, Switzerland.
| | - Rebecca Bendel
- University Psychiatric Clinics (UPK) Basel, Wilhelm Klein-Strasse 27, 4002 Basel, Switzerland
| | - Marc Walter
- University Psychiatric Clinics (UPK) Basel, Wilhelm Klein-Strasse 27, 4002 Basel, Switzerland.
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Hanegraaf L, Hohwy J, Verdejo-Garcia A. Latent classes of maladaptive personality traits exhibit differences in social processing. J Pers 2021; 90:615-630. [PMID: 34714935 PMCID: PMC9545362 DOI: 10.1111/jopy.12686] [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] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/22/2021] [Accepted: 10/24/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Social processing (SP) deficits manifest across numerous mental disorders. However, this research has been plagued by heterogeneity and a piecemeal approach whereby skills are examined in isolation rather than as part of an integrated cognitive system. Here, we combined two dimensional frameworks of psychopathology to address these limitations. METHOD We utilized the Alternative Model for Personality Disorders (AMPD) to distill trait-related heterogeneity within a community sample (n = 200), and the Research Domain Criteria (RDoC) 'Systems for Social Processes' to comprehensively assess SP. We first applied latent class analyses (LCA) to derive AMPD-based groups and subsequently contrasted the performance of these groups on a SP test battery that we developed to align with the RDoC SP constructs. RESULTS Our LCA yielded four distinct subgroups. The recognizable trait profiles and psychopathological symptoms of these classes suggested they were clinically meaningful. The subgroups differed in their SP profiles: one displayed deficits regarding the self, a second displayed deficits in understanding others, a third displayed more severe deficits including affiliation problems, whilst the fourth showed normal performance. CONCLUSIONS Our results support the link between clusters of maladaptive personality traits and distinctive profiles of SP deficits, which may inform research on disorders involving SP dysfunctions.
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Affiliation(s)
- Lauren Hanegraaf
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Jakob Hohwy
- Cognition and Philosophy Lab, Philosophy Department, Monash University, Clayton, Victoria, Australia
| | - Antonio Verdejo-Garcia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
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Perkins ER, Joyner KJ, Patrick CJ, Bartholow BD, Latzman RD, DeYoung CG, Kotov R, Reininghaus U, Cooper SE, Afzali MH, Docherty AR, Dretsch MN, Eaton NR, Goghari VM, Haltigan JD, Krueger RF, Martin EA, Michelini G, Ruocco AC, Tackett JL, Venables NC, Waldman ID, Zald DH. Neurobiology and the Hierarchical Taxonomy of Psychopathology: progress toward ontogenetically informed and clinically useful nosology
. DIALOGUES IN CLINICAL NEUROSCIENCE 2021; 22:51-63. [PMID: 32699505 PMCID: PMC7365294 DOI: 10.31887/dcns.2020.22.1/eperkins] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical structural
model of psychological symptoms formulated to improve the reliability and
validity of clinical assessment. Neurobiology can inform assessments of early
risk and intervention strategies, and the HiTOP model has greater potential to
interface with neurobiological measures than traditional categorical diagnoses
given its enhanced reliability. However, one complication is that observed
biological correlates of clinical symptoms can reflect various factors, ranging
from dispositional risk to consequences of psychopathology. In this paper, we
argue that the HiTOP model provides an optimized framework for conducting
research on the biological correlates of psychopathology from an ontogenetic
perspective that distinguishes among indicators of liability, current symptoms,
and consequences of illness. Through this approach, neurobiological research can
contribute more effectively to identifying individuals at high dispositional
risk, indexing treatment-related gains, and monitoring the consequences of
mental illness, consistent with the aims of the HiTOP framework.
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Affiliation(s)
- Emily R Perkins
- Department of Psychology, Florida State University, Tallahassee, Florida, US. Authors contributed equally to manuscript
| | - Keanan J Joyner
- Department of Psychology, Florida State University, Tallahassee, Florida, US. Authors contributed equally to manuscript
| | | | - Bruce D Bartholow
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri, US
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, Georgia, US
| | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, US
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, New York, US
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Samuel E Cooper
- Department of Psychiatry, University of Texas at Austin, Texas, US
| | | | - Anna R Docherty
- DDepartment of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, US
| | - Michael N Dretsch
- US Army Medical Research Directorate - West, Walter Reed Army Institute for Research, Joint Base Lewis-McCord, Washington, US
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, New York, US
| | - Vina M Goghari
- Department of Psychology and Graduate Department of Psychological Clinical Science, University of Toronto, Ontario, Canada
| | - John D Haltigan
- DDepartment of Psychiatry, University of Toronto, and Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Robert F Krueger
- DDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota, US
| | - Elizabeth A Martin
- DDepartment of Psychological Science, University of California, Irvine, California, US
| | - Giorgia Michelini
- Department of Psychiatry, Stony Brook University, Stony Brook, New York, US
| | - Anthony C Ruocco
- Department of Psychology and Graduate Department of Psychological Clinical Science, University of Toronto, Ontario, Canada
| | - Jennifer L Tackett
- Department of Psychology, Northwestern University, Evanston, Illinois, US
| | - Noah C Venables
- DMinneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota, US
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, Georgia, US
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, US
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Langwerden RJ, van der Heijden PT, Egger JIM, Derksen JJL. Robustness of the Maladaptive Personality Plaster: An Investigation of Stability of the PSY-5-r in Adults over 20 Years. J Pers Assess 2020; 103:27-32. [PMID: 32125195 DOI: 10.1080/00223891.2020.1729772] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The long-term stability of maladaptive personality traits in the general population has been under-investigated. The current study examined the longitudinal 20-year mean-level stability and rank-order consistency of five maladaptive personality traits-as measured with the Personality Psychopathology-5-r scales. Correlations and regression analysis were conducted to test both types of stability comparing raw scores of scale administrations in a general population sample in both 1992 and 2012 (N = 65). Repeated measures analysis of variance demonstrated significant mean-level stability of the PSY-5-r traits over 20 years. The PSY-5-r scales demonstrated significant rank-order consistency as evidenced by correlational analyses and reliability coefficients. The scales Aggressiveness-r (r = .73), Neuroticism/Negative Emotionality-r (r = .65), Introversion/Low Positive Emotionality-r (r = .63), and Disconstraint-r (r = .56), evidenced strong rank-order stability, whereas Psychoticism-r (r = .3) showed moderate rank-order consistency. The results of the present study indicate that maladaptive personality traits as measured with the PSY-5-r scales are relatively stable over 20 years in an adult community population.
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Affiliation(s)
- Robbert J Langwerden
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Community-Based Research Institute, Florida International University, Miami, Florida
| | - Paul T van der Heijden
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.,Centre for Adolescent Psychiatry, Reinier van Arkel Mental Health Institute, 's-Hertogenbosch, The Netherlands
| | - Jos I M Egger
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Centers of Excellence for Neuropsychiatry, Vincent van Gogh Mental Health Institute, Venray, The Netherlands.,Stevig Specialized and Forensic Care for People with Intellectual Disabilities, Oostrom, The Netherlands
| | - Jan J L Derksen
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.,Faculty of Psychology and Educational Sciences, Department of Clinical and Life Span Psychology, Vrije Universiteit Brussel, Brussels, Belgium
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Rodriguez-Seijas C, Ruggero C, Eaton NR, Krueger RF. The DSM-5 Alternative Model for Personality Disorders and Clinical Treatment: a Review. ACTA ACUST UNITED AC 2019. [DOI: 10.1007/s40501-019-00187-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Zimmermann J, Kerber A, Rek K, Hopwood CJ, Krueger RF. A Brief but Comprehensive Review of Research on the Alternative DSM-5 Model for Personality Disorders. Curr Psychiatry Rep 2019; 21:92. [PMID: 31410586 DOI: 10.1007/s11920-019-1079-z] [Citation(s) in RCA: 147] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Both the Alternative DSM-5 Model for Personality Disorders (AMPD) and the chapter on personality disorders (PD) in the recent version of ICD-11 embody a shift from a categorical to a dimensional paradigm for the classification of PD. We describe these new models, summarize available measures, and provide a comprehensive review of research on the AMPD. RECENT FINDINGS A total of 237 publications on severity (criterion A) and maladaptive traits (criterion B) of the AMPD indicate (a) acceptable interrater reliability, (b) largely consistent latent structures, (c) substantial convergence with a range of theoretically and clinically relevant external measures, and (d) some evidence for incremental validity when controlling for categorical PD diagnoses. However, measures of criterion A and B are highly correlated, which poses conceptual challenges. The AMPD has stimulated extensive research with promising findings. We highlight open questions and provide recommendations for future research.
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Affiliation(s)
- Johannes Zimmermann
- Department of Psychology, University of Kassel, Holländische Str. 36-38, 34127, Kassel, Germany.
| | | | - Katharina Rek
- Max-Planck-Institut für Psychiatrie, Munich, Germany
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