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Fan Y, Yuan C, Gu W, Wang Z. A detailed hierarchical model of psychopathology in Chinese clinical sample: Based on the SCL-90-R measure. J Affect Disord 2024; 354:725-734. [PMID: 38503357 DOI: 10.1016/j.jad.2024.03.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 02/28/2024] [Accepted: 03/09/2024] [Indexed: 03/21/2024]
Abstract
OBJECTIVE The Hierarchical Taxonomy of Psychopathology (HiTOP)model is an impressive effort to overcome shortcomings of traditional diagnostic systems. However, almost all of the quantitative empirical evidence used to structure the model comes from Western cultures and is built upon traditional diagnostic categories. This study aims to provide a detailed Chinese version of the HiTOP structure, ranging from symptoms based on The Symptom Checklist 90-R (SCL-90-R) up to the general factor. METHODS We explored the detailed hierarchical structure of the SCL-90-R scale in adult (N = 34,222) and adolescent (N = 1973) clinical sample from Shanghai Mental Health Center, using extended bass-ackwards approach to draw the HiTOP model. RESULTS The Chinese HiTOP structure had a general factor at the top, 4 higher-order spectra (Internalizing, Externalizing, Broad Thought Disorder and Somatization and Somatic Anxiety) and 6 subfactors (Distress, Somatoform, Hostility, Fear, Psychosis and OCD) across both adult and adolescent samples. In addition, the adult sample contained 2 other subfactors: a) Sleep, and b) Suicide and Guilt. At the symptom level, some items were posited to components diverged from the original SCL-90-R subscales. CONCLUSIONS These findings offer the first description of the HiTOP structure in two Chinese samples and demonstrate that the SCL-90-R can be used to examine the HiTOP structure. The Somatization spectrum first emerged as a higher-order dimension, suggesting structural differences between Western and Eastern cultures. The results also suggest that transdiagnostic research should (1) further examine the positioning of somatoform symptoms using measures in other Eastern samples, and (2) place more emphasis on interpreting SCL-90-R results across different cultures.
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Affiliation(s)
- Yinqing Fan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Chenyu Yuan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Wenjie Gu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China; Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, PR China; Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai, PR China.
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2
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Miller ML, Jiang LJ, O'Hara MW. Experiential avoidance as a mediator of risk factors for higher order internalizing psychopathology in the perinatal period. J Clin Psychol 2024; 80:625-645. [PMID: 38265296 DOI: 10.1002/jclp.23644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 11/09/2023] [Accepted: 01/07/2024] [Indexed: 01/25/2024]
Abstract
OBJECTIVES Perinatal psychopathology can be damaging. This study examined the strength of the associations between risk factors and all perinatal mood and anxiety disorder symptoms while assessing the mediating effect of experiential avoidance. METHOD Participants (N = 246) completed assessments during pregnancy (28-32 weeks) and the postpartum (6-8 weeks). Structural equation modeling (SEM) was used to examine associations between risk factors and latent factors: distress (composed of depression, generalized anxiety, irritability, and panic symptoms); fear (social anxiety, agoraphobia, specific phobia, and obsessive-compulsive); and bipolar (mania and obsessive-compulsive). RESULTS During pregnancy, past psychiatric history, anxiety sensitivity, maladaptive coping, and age were significant risk factors. In the postpartum, negative maternal attitudes and past psychiatric history were only risk factors for symptoms that composed distress. Experiential avoidance mediated the relation between maladaptive coping and symptoms that composed fear. CONCLUSION It is important to assess for psychological risk factors starting in pregnancy. This study identified critical risk factors that are associated with the underlying commonality among perinatal mood and anxiety symptoms. Some of the risk factors as well as the mediator are malleable (negative maternal attitudes, experiential avoidance), creating new possibilities for prevention and treatment of perinatal mood and anxiety disorder symptoms.
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Affiliation(s)
- Michelle L Miller
- University of Iowa, Iowa City, Iowa, USA
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Lily J Jiang
- Indiana University-Bloomington, Bloomington, Indiana, USA
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3
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Palumbo IM, Patrick CJ, Latzman RD. Psychopathology in children: The transdiagnostic contribution of affiliative capacity and inhibitory control. Dev Psychopathol 2023; 35:1627-1642. [PMID: 35678172 DOI: 10.1017/s0954579422000347] [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] [Indexed: 11/07/2022]
Abstract
Recent initiatives have focused on integrating transdiagnostic biobehavioral processes or dispositions with dimensional models of psychopathology. Toward this goal, biobehavioral traits of affiliative capacity (AFF) and inhibitory control (INH) hold particular promise as they demonstrate transdiagnostic stability and predictive validity across developmental stages and differing measurement modalities. The current study employed data from different modes of measurement in a sample of 1830 children aged 5-10 years to test for associations of AFF and INH, individually and interactively, with broad dimensions of psychopathology. Low AFF, assessed via parent-report, evidenced predictive relations with distress- and externalizing-related problems. INH as assessed by cognitive-task performance did not relate itself to either psychopathology dimension, but it moderated the effects observed for low AFF, such that high INH protected against distress symptoms in low-AFF participants, whereas low INH amplified distress and externalizing symptoms in low-AFF participants. Results are discussed in the context of the interface of general trait transdiagnostic risk factors with quantitatively derived dimensional models of psychopathology.
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4
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Cooper SE, Hunt C, Stasik-O'Brien SM, Berg H, Lissek S, Watson D, Krueger RF. The Placement of Obsessive-Compulsive Symptoms Within a Five-Factor Model of Maladaptive Personality. Assessment 2023; 30:891-906. [PMID: 35098736 DOI: 10.1177/10731911211070623] [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] [Indexed: 11/15/2022]
Abstract
Dimensional models of obsessive-compulsive (OC) symptoms, as seen in obsessive-compulsive disorder (OCD), are instrumental in explaining the heterogeneity observed in this condition and for informing cutting-edge assessments. Prior structural work in this area finds that OC symptoms cross-load under both Negative Affectivity and Psychoticism traits within the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) Alternative Model of Personality Disorder (AMPD). However, tests of OC symptoms in conjunction with assessments of the full AMPD structure and its 25 lower-level facets representing narrower symptom content are lacking. We applied joint exploratory factor analysis to an AMPD measure (Personality Inventory for DSM-5; PID-5) and OC symptom data from two separate samples (total N = 1,506) to locate OC symptoms within AMPD space. OC symptoms cross-loaded on Negative Affectivity, Psychoticism, and on the low end of Disinhibition. We also report exploratory analyses of OC symptom subscales with PID-5 variables. Results are discussed in the context OC symptoms' location in PID-5 space, implications for assessment, and placement of OCD within the Hierarchical Taxonomy of Psychopathology.
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Affiliation(s)
| | | | | | - Hannah Berg
- University of Minnesota Twin Cities, MN, USA
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5
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Miller ML, O'Hara MW. The structure of mood and anxiety disorder symptoms in the perinatal period. J Affect Disord 2023; 325:231-239. [PMID: 36610596 PMCID: PMC11095580 DOI: 10.1016/j.jad.2022.12.111] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 09/06/2022] [Accepted: 12/23/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND The perinatal period is increasingly recognized as a vulnerable time for the development and exacerbation of psychiatric symptoms. Research has often focused on perinatal depression, with much less information on perinatal anxiety. This study examined the psychometric structure of all internalizing (anxiety and mood disorder symptoms) in the perinatal period. METHODS Participants were primarily community adults receiving prenatal care from an academic medical center (N = 246). Participants completed a structured clinical interview using the Interview for Mood and Anxiety Symptoms (IMAS) during pregnancy (28-32 weeks gestation) and the postpartum (6-8 weeks). Clinical interviews dimensionally assessed all current anxiety, mood, and obsessive-compulsive symptoms as well as lifetime psychiatric diagnoses. RESULTS Confirmatory factor analyses identified three latent factors onto which psychiatric symptoms loaded: Distress (depression, generalized anxiety, irritability, and panic symptoms), Fear (social anxiety, agoraphobia, specific phobia, and obsessive-compulsive symptoms), and Bipolar (mania and obsessive-compulsive symptoms) in both pregnancy and the postpartum. The fit statistics of the models indicated adequate to good fit in both models. LIMITATIONS The IMAS is validated against the DSM-IV-TR rather than the DSM-5 and assessments of psychiatric symptoms were focused only on the current pregnancy. CONCLUSIONS A three-factor model consisting of Distress, Fear and Bipolar latent factors was the best-fitting model in pregnancy and the postpartum period and showed stability across time. The structure of internalizing symptoms has important implications for future perinatal research and can be utilized to guide treatment by highlighting which psychiatric symptoms may be most similar during the perinatal period.
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Affiliation(s)
- Michelle L Miller
- University of Iowa, United States of America; Indiana University School of Medicine, United States of America.
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6
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Ringwald WR, Forbes MK, Wright AGC. Meta-analysis of structural evidence for the Hierarchical Taxonomy of Psychopathology (HiTOP) model. Psychol Med 2023; 53:533-546. [PMID: 33988108 DOI: 10.1017/s0033291721001902] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The Hierarchical Taxonomy of Psychopathology (HiTOP) is a classification system that seeks to organize psychopathology using quantitative evidence - yet the current model was established by narrative review. This meta-analysis provides a quantitative synthesis of literature on transdiagnostic dimensions of psychopathology to evaluate the validity of the HiTOP framework. METHODS Published studies estimating factor-analytic models from diagnostic and statistical manual of mental disorders (DSM) diagnoses were screened. A total of 120,596 participants from 35 studies assessing 23 DSM diagnoses were included in the meta-analytic models. Data were pooled into a meta-analytic correlation matrix using a random effects model. Exploratory factor analyses were conducted using the pooled correlation matrix. A hierarchical structure was estimated by extracting one to five factors representing levels of the HiTOP framework, then calculating congruence coefficients between factors at sequential levels. RESULTS Five transdiagnostic dimensions fit the DSM diagnoses well (comparative fit index = 0.92, root mean square error of approximation = 0.07, and standardized root-mean-square residual = 0.03). Most diagnoses had factor loadings >|0.30| on the expected factors, and congruence coefficients between factors indicated a hierarchical structure consistent with the HiTOP framework. CONCLUSIONS A model closely resembling the HiTOP framework fit the data well and placement of DSM diagnoses within transdiagnostic dimensions were largely confirmed, supporting it as valid structure for conceptualizing and organizing psychopathology. Results also suggest transdiagnostic research should (1) use traits, narrow symptoms, and dimensional measures of psychopathology instead of DSM diagnoses, (2) assess a broader array of constructs, and (3) increase focus on understudied pathologies.
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Affiliation(s)
- Whitney R Ringwald
- Department of Psychology, University of Pittsburgh, 4305 Sennott Square, 210 S. Bouquet St., Pittsburgh, PA 15260, USA
| | - Miriam K Forbes
- Department of Psychology, Macquarie University, Balaclava Rd, Macquarie Park, NSW 2109, Australia
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, 4305 Sennott Square, 210 S. Bouquet St., Pittsburgh, PA 15260, USA
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7
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Watson D, Clark LA, Simms LJ, Kotov R. Classification and assessment of fear and anxiety in personality and psychopathology. Neurosci Biobehav Rev 2022; 142:104878. [PMID: 36116575 DOI: 10.1016/j.neubiorev.2022.104878] [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: 06/03/2022] [Revised: 08/30/2022] [Accepted: 09/04/2022] [Indexed: 02/06/2023]
Abstract
We examine fear and anxiety in the context of structural models of personality (the five-factor model, or FFM) and psychopathology (the Hierarchical Taxonomy of Psychopathology, or HiTOP); we also highlight important issues related to their assessment. Anxiety is a sustained, future-oriented response to potential threat. Trait measures of anxiety represent a core facet within the broader domain of neuroticism in the FFM. Anxiety-related symptoms are indicators of the distress subfactor within the internalizing spectrum in HiTOP. In contrast, fear is a brief, present-focused response to an acute threat. We distinguish between two ways of assessing individual differences in fear. The first type assesses phobic responses to specific stimuli. Phobia measures are moderately correlated with measures of neuroticism in the FFM and define the fear subfactor of internalizing in HiTOP. The second type assesses individual differences in harm avoidance versus risk taking. Measures of risk taking (i.e., low fear) are moderately related to disinhibition/low conscientiousness and antagonism/low agreeableness in the FFM and are indicators of the externalizing superspectrum in HiTOP.
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Affiliation(s)
- David Watson
- Department of Psychology, University of Notre Dame, United States.
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, United States
| | - Leonard J Simms
- Department of Psychology, University at Buffalo, United States
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, United States
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8
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Miller ML, Roche AI, Lemon E, O'Hara MW. Obsessive-compulsive and related disorder symptoms in the perinatal period: prevalence and associations with postpartum functioning. Arch Womens Ment Health 2022; 25:771-780. [PMID: 35614279 PMCID: PMC11131363 DOI: 10.1007/s00737-022-01239-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/16/2022] [Indexed: 11/02/2022]
Abstract
Obsessive-compulsive disorder (OCD) symptoms are more likely to develop or be exacerbated during pregnancy and the postpartum period, which can cause significant distress and impairment. However, the disorders grouped with OCD in the DSM-5, obsessive-compulsive and related disorders (OCRD; e.g., hoarding disorder (HD), body dysmorphic disorder (BDD), trichotillomania (TTM), excoriation disorder (ED)), have rarely been examined in the perinatal period. This study aimed to explore (1) the prevalence of all clinically significant OCRD symptoms in pregnancy and the postpartum period and (2) the correlations between OCRD psychopathology and postpartum functioning. Participants were recruited during their second trimester of pregnancy from a Midwestern medical center. Participants completed an online questionnaire and a semi-structured clinical interview during pregnancy (28-32 weeks' gestation, N = 276) and the postpartum period (6-8 weeks, N = 221). BDD and OCD symptoms were the most prevalent. In pregnancy, 14.9% (N = 41) of participants endorsed clinically significant BDD symptoms and 6.2% (N = 17) endorsed clinically significant OCD symptoms. In the postpartum period, 11.8% (N = 26) endorsed clinically significant BDD symptoms and 14% (N = 31) endorsed clinically significant OCD symptoms. Poorer postpartum functioning was associated with elevated OCRD symptoms in pregnancy and postpartum. OCRD symptoms occur during pregnancy and the postpartum period at rates similar or higher than other life periods. Elevated OCRD symptoms are associated with poorer postpartum functioning across domains. Future research should explore how all OCRD symptoms may affect functioning in the perinatal period, not only OCD symptoms.
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Affiliation(s)
- Michelle L Miller
- University of Iowa, Iowa City, USA.
- Indiana University School of Medicine/IU Health Physicians, Goodman Hall/IU Health Neuroscience Center, Suite 2800, 355 W. 16th St, Indianapolis, IN, 46202, USA.
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9
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Correa KA, Li LY, Nelson BD, Shankman SA. Event-related potentials to acoustic startle probes during unpredictable threat are associated with individual differences in intolerance of uncertainty. Int J Psychophysiol 2022; 174:66-75. [PMID: 35143906 PMCID: PMC8923991 DOI: 10.1016/j.ijpsycho.2022.01.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/26/2022] [Accepted: 01/30/2022] [Indexed: 11/28/2022]
Abstract
Individual differences in sensitivity to unpredictable threat may be a critical mechanism for internalizing psychopathology phenotypes. The present study examined whether the startle probe-elicited N100 and P300 during unpredictable threat - two event-related potentials indexing early and elaborative attentional processing of unpredictable threat - may be endophenotypes for internalizing psychopathology, including fear and distress/misery disorders and intolerance of uncertainty (IU), a clinical trait that is transdiagnostically associated with internalizing disorders. A large sample of adult siblings (N = 375) completed the no, predictable, and unpredictable threat task, during which the N100 and P300 were recorded. Relative to the no threat condition, N100 was more strongly enhanced in anticipation of unpredictable than predictable threat while P300 was suppressed to both predictable and unpredictable threat. While neither N100 enhancement nor P300 suppression to unpredictable threat was associated with fear or distress/misery disorders, they were negatively linked to inhibitory IU (a facet of IU). Thus, individuals high in inhibitory IU showed reduced attentional engagement with the threatening context when it was unpredictable. Further, N100 enhancement and, to a lesser degree, P300 suppression to unpredictable threat showed familial aggregation - a key criterion for determining whether a biomarker is an endophenotype. In sum, N100 enhancement and P300 suppression to unpredictable threat may be endophenotypes for dimensional measures of internalizing psychopathology.
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Affiliation(s)
- Kelly A Correa
- Department of Psychology, University of Illinois at Chicago, Chicago, IL, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Lilian Y Li
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Brady D Nelson
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Stewart A Shankman
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA.
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10
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Watson D, Levin-Aspenson HF, Waszczuk MA, Conway CC, Dalgleish T, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Hobbs KA, Michelini G, Nelson BD, Sellbom M, Slade T, South SC, Sunderland M, Waldman I, Witthöft M, Wright AGC, Kotov R, Krueger RF. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum. World Psychiatry 2022; 21:26-54. [PMID: 35015357 PMCID: PMC8751579 DOI: 10.1002/wps.20943] [Citation(s) in RCA: 95] [Impact Index Per Article: 47.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings of traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial heterogeneity within disorders, and diagnostic unreliability over time and across clinicians. This paper reviews evidence on the validity and utility of the internalizing and somatoform spectra of HiTOP, which together provide support for an emotional dysfunction superspectrum. These spectra are composed of homogeneous symptom and maladaptive trait dimensions currently subsumed within multiple diagnostic classes, including depressive, anxiety, trauma-related, eating, bipolar, and somatic symptom disorders, as well as sexual dysfunction and aspects of personality disorders. Dimensions falling within the emotional dysfunction superspectrum are broadly linked to individual differences in negative affect/neuroticism. Extensive evidence establishes that dimensions falling within the superspectrum share genetic diatheses, environmental risk factors, cognitive and affective difficulties, neural substrates and biomarkers, childhood temperamental antecedents, and treatment response. The structure of these validators mirrors the quantitative structure of the superspectrum, with some correlates more specific to internalizing or somatoform conditions, and others common to both, thereby underlining the hierarchical structure of the domain. Compared to traditional diagnoses, the internalizing and somatoform spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and greater clinical applicability. Validated measures are currently available to implement the HiTOP system in practice, which can make diagnostic classification more useful, both in research and in the clinic.
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Affiliation(s)
- David Watson
- Department of Psychology, University of Notre Dame, South Bend, IN, USA
| | | | - Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | | | - Tim Dalgleish
- Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Michael N Dretsch
- US Army Medical Research Directorate - West, Walter Reed Army Institute of Research, Joint Base Lewis-McChord, WA, USA
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | - Kelsey A Hobbs
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Giorgia Michelini
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Brady D Nelson
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia
| | - Susan C South
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia
| | - Irwin Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Michael Witthöft
- Department for Clinical Psychology, Psychotherapy, and Experimental Psychopathology, University of Mainz, Mainz, Germany
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
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11
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Cooper SE, Dunsmoor JE. Fear conditioning and extinction in obsessive-compulsive disorder: A systematic review. Neurosci Biobehav Rev 2021; 129:75-94. [PMID: 34314751 PMCID: PMC8429207 DOI: 10.1016/j.neubiorev.2021.07.026] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 06/04/2021] [Accepted: 07/23/2021] [Indexed: 11/29/2022]
Abstract
Laboratory experiments using fear conditioning and extinction protocols help lay the groundwork for designing, testing, and optimizing innovative treatments for anxiety-related disorders. Yet, there is limited basic research on fear conditioning and extinction in obsessive-compulsive disorder (OCD). This is surprising because exposure-based treatments based on associative learning principles are among the most popular and effective treatment options for OCD. Here, we systematically review and critically assess existing aversive conditioning and extinction studies of OCD. Across 12 studies, there was moderate evidence that OCD is associated with abnormal acquisition of conditioned responses that differ from comparison groups. There was relatively stronger evidence of OCD's association with impaired extinction processes. This included multiple studies finding elevated conditioned responses during extinction learning and poorer threat/safety discrimination during recall, although a minority of studies yielded results inconsistent with this conclusion. Overall, the conditioning model holds value for OCD research, but more work is necessary to clarify emerging patterns of results and increase clinical translational utility to the level seen in other anxiety-related disorders. We detail limitations in the literature and suggest next steps, including modeling OCD with more complex conditioning methodology (e.g., semantic/conceptual generalization, avoidance) and improving individual-differences assessment with dimensional techniques.
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Affiliation(s)
- Samuel E Cooper
- Department of Psychiatry and Behavioral Sciences, University of Texas at Austin, Austin, TX, 78712, USA.
| | - Joseph E Dunsmoor
- Department of Psychiatry and Behavioral Sciences, University of Texas at Austin, Austin, TX, 78712, USA.
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12
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Stein DJ, Craske MG, Rothbaum BO, Chamberlain SR, Fineberg NA, Choi KW, de Jonge P, Baldwin DS, Maj M. The clinical characterization of the adult patient with an anxiety or related disorder aimed at personalization of management. World Psychiatry 2021; 20:336-356. [PMID: 34505377 PMCID: PMC8429350 DOI: 10.1002/wps.20919] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The clinical construct of "anxiety neurosis" was broad and poorly defined, so that the delineation of specific anxiety disorders in the DSM-III was an important advance. However, anxiety and related disorders are not only frequently comorbid, but each is also quite heterogeneous; thus diagnostic manuals provide only a first step towards formulating a management plan, and the development of additional decision support tools for the treatment of anxiety conditions is needed. This paper aims to describe systematically important domains that are relevant to the personalization of management of anxiety and related disorders in adults. For each domain, we summarize the available research evidence and review the relevant assessment instruments, paying special attention to their suitability for use in routine clinical practice. We emphasize areas where the available evidence allows the clinician to personalize the management of anxiety conditions, and we point out key unmet needs. Overall, the evidence suggests that we are becoming able to move from simply recommending that anxiety and related disorders be treated with selective serotonin reuptake inhibitors, cognitive-behavioral therapy, or their combination, to a more complex approach which emphasizes that the clinician has a broadening array of management modalities available, and that the treatment of anxiety and related disorders can already be personalized in a number of important respects.
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Affiliation(s)
- Dan J Stein
- South African Medical Research Council Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Michelle G Craske
- Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, (UCLA), Los Angeles, CA, USA
| | | | - Samuel R Chamberlain
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, and Southern Health NHS Foundation Trust, Southampton, UK
| | - Naomi A Fineberg
- School of Life and Medical Sciences, University of Hertfordshire, and Hertfordshire Partnership University NHS Foundation Trust, Hatfield, UK
- University of Cambridge Clinical Medical School, Cambridge, UK
| | - Karmel W Choi
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Peter de Jonge
- Developmental Psychology, Department of Psychology, Rijksuniversiteit Groningen, Groningen, The Netherlands
| | - David S Baldwin
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, and Southern Health NHS Foundation Trust, Southampton, UK
| | - Mario Maj
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
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13
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Forbes MK, Sunderland M, Rapee RM, Batterham PJ, Calear AL, Carragher N, Ruggero C, Zimmerman M, Baillie AJ, Lynch SJ, Mewton L, Slade T, Krueger RF. A detailed hierarchical model of psychopathology: From individual symptoms up to the general factor of psychopathology. Clin Psychol Sci 2021; 9:139-168. [PMID: 33758691 PMCID: PMC7983870 DOI: 10.1177/2167702620954799] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Much of our knowledge about the relationships among domains of psychopathology is built on the diagnostic categories described in the Diagnostic and Statistical Manual of Mental Disorders (DSM), with relatively little research examining the symptom-level structure of psychopathology. The aim of this study was to delineate a detailed hierarchical model of psychopathology-from individual symptoms up to a general factor of psychopathology-allowing both higher- and lower-order dimensions to depart from the structure of the DSM. We explored the hierarchical structure of hundreds of symptoms spanning 18 DSM disorders, in two large samples-one from the general population in Australia (n = 3175), and the other a treatment-seeking clinical sample from the USA (n = 1775). There was marked convergence between the two samples, offering new perspectives on higher-order dimensions of psychopathology. We also found several noteworthy departures from the structure of the DSM in the symptom-level data.
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Affiliation(s)
- Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
| | - Matthew Sunderland
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Ronald M Rapee
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
| | - Philip J Batterham
- Centre for Mental Health Research, The Australian National University, Canberra, Australia
| | - Alison L Calear
- Centre for Mental Health Research, The Australian National University, Canberra, Australia
| | - Natacha Carragher
- Office of Medical Education, University of New South Wales, Sydney, Australia
- Alcohol, Drugs and Addictive Behaviors, Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland
| | | | | | - Andrew J Baillie
- Sydney School of Health Sciences, The University of Sydney, Sydney, Australia
| | - Samantha J Lynch
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Louise Mewton
- Office of Medical Education, University of New South Wales, Sydney, Australia
| | - Tim Slade
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
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14
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Leyro TM, Versella MV, Yang MJ, Brinkman HR, Hoyt DL, Lehrer P. Respiratory therapy for the treatment of anxiety: Meta-analytic review and regression. Clin Psychol Rev 2021; 84:101980. [PMID: 33540222 PMCID: PMC8302658 DOI: 10.1016/j.cpr.2021.101980] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 11/30/2020] [Accepted: 01/19/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Respiratory abnormalities are a hallmark of anxiety symptomatology and may serve as clinically useful modifiers for alleviating anxiety symptoms. However, gold-standard anxiety treatments (e.g., cognitive-behavioral interventions) often do not directly address respiratory components despite their theoretical utility and clinical accessibility. This review examined the clinical effectiveness of respiratory interventions, interventions that directly target respiration abnormalities and processes, in treating trait anxiety symptoms. METHODS The final analysis included 40 randomized controlled trials including at least one measure of trait anxiety, a respiratory-focused intervention group, and a non-respiratory control-group (active or inactive treatment). Overall effects of respiratory focused interventions were examined, as well as the effect of hypothesized moderators. RESULTS Respiratory component interventions yielded significantly greater improvements (moderate to large effect) in anxiety symptoms than controls, with the stronger effects observed in comparison to inactive, rather than active, control conditions. Significant heterogeneity in findings suggests that variability in intervention design, population, and control comparison may obfuscate interpretation of findings. CONCLUSIONS Evidence supports the clinical utility of respiratory interventions as either an independent anxiety treatment, or as an adjunct to other interventions. Clinical and research implications of findings along with recommendations for ongoing investigations in this domain are discussed.
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Affiliation(s)
- Teresa M Leyro
- Department of Psychology, Rutgers, The State University of New Jersey, United States.
| | - Mark V Versella
- Department of Psychology, Rutgers, The State University of New Jersey, United States
| | - Min-Jeong Yang
- Department of Psychology, Rutgers, The State University of New Jersey, United States; Department of Health Outcomes and Behavior, Moffitt Cancer Center, United States
| | - Hannah R Brinkman
- Department of Psychology, Rutgers, The State University of New Jersey, United States
| | - Danielle L Hoyt
- Department of Psychology, Rutgers, The State University of New Jersey, United States
| | - Paul Lehrer
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, United States
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15
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Faure K, Forbes MK. Clarifying the Placement of Obsessive-Compulsive Disorder in the Empirical Structure of Psychopathology. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2021. [DOI: 10.1007/s10862-021-09868-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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16
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Kotov R, Krueger RF, Watson D, Cicero DC, Conway CC, DeYoung CG, Eaton NR, Forbes MK, Hallquist MN, Latzman RD, Mullins-Sweatt SN, Ruggero CJ, Simms LJ, Waldman ID, Waszczuk MA, Wright AGC. The Hierarchical Taxonomy of Psychopathology (HiTOP): A Quantitative Nosology Based on Consensus of Evidence. Annu Rev Clin Psychol 2021; 17:83-108. [PMID: 33577350 DOI: 10.1146/annurev-clinpsy-081219-093304] [Citation(s) in RCA: 182] [Impact Index Per Article: 60.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.
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Affiliation(s)
- Roman Kotov
- Departments of Psychiatry and Psychology, Stony Brook University, Stony Brook, New York 11794, USA;
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - David C Cicero
- Department of Psychology, University of North Texas, Denton, Texas 76203, USA
| | | | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Nicholas R Eaton
- Departments of Psychiatry and Psychology, Stony Brook University, Stony Brook, New York 11794, USA;
| | - Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Macquarie Park, New South Wales 2109, Australia
| | - Michael N Hallquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, Georgia 30303, USA
| | | | - Camilo J Ruggero
- Department of Psychology, University of North Texas, Denton, Texas 76203, USA
| | - Leonard J Simms
- Department of Psychology, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, Georgia 30322, USA
| | - Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University, North Chicago, Illinois 60064, USA
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
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17
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Cross ES, Ramsey R. Mind Meets Machine: Towards a Cognitive Science of Human-Machine Interactions. Trends Cogn Sci 2020; 25:200-212. [PMID: 33384213 DOI: 10.1016/j.tics.2020.11.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 11/26/2020] [Accepted: 11/28/2020] [Indexed: 12/31/2022]
Abstract
As robots advance from the pages and screens of science fiction into our homes, hospitals, and schools, they are poised to take on increasingly social roles. Consequently, the need to understand the mechanisms supporting human-machine interactions is becoming increasingly pressing. We introduce a framework for studying the cognitive and brain mechanisms that support human-machine interactions, leveraging advances made in cognitive neuroscience to link different levels of description with relevant theory and methods. We highlight unique features that make this endeavour particularly challenging (and rewarding) for brain and behavioural scientists. Overall, the framework offers a way to study the cognitive science of human-machine interactions that respects the diversity of social machines, individuals' expectations and experiences, and the structure and function of multiple cognitive and brain systems.
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Affiliation(s)
- Emily S Cross
- Department of Cognitive Science, Macquarie University, Sydney, Australia; Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland, UK.
| | - Richard Ramsey
- Department of Psychology, Macquarie University, Sydney, Australia
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18
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Hui A. Exploring the utility of RDoC in differentiating effectiveness amongst antidepressants: A systematic review using proposed psychometrics as the unit of analysis for the Negative Valence Systems domain. PLoS One 2020; 15:e0243057. [PMID: 33326436 PMCID: PMC7743972 DOI: 10.1371/journal.pone.0243057] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 11/14/2020] [Indexed: 01/26/2023] Open
Abstract
Background RDoC conceptualises psychopathology as neurobiologically-rooted behavioural psychological “constructs” that span dimensionally from normality to pathology, but its clinical utility remains controversial. Aim To explore RDoC’s potential clinical utility by examining antidepressant effectiveness through Negative Valence Systems (NVS) domain constructs. Method A systematic review was conducted on Web of Science, MEDLINE, EMBASE and PsycINFO for antidepressant trials that included psychometric instruments assessed by Watson, Stanton & Clark (2017) to represent NVS constructs of Acute Threat, Potential Threat and Loss. Results 221 citations were identified; 13 were included in qualitative synthesis, none for quantitative analysis. All suffered from significant bias risks. 9 antidepressants were investigated, most within 1 construct, and most were found to be effective. Paroxetine, citalopram and fluvoxamine were found to be effective for Acute Threat, fluoxetine, desvenlafaxine and sertraline for Potential Threat, and sertraline, fluvoxamine, fluoxetine and desvenlafaxine effective for Loss. Nefazodone was found to be ineffective for acute fear. Conclusion Preliminary evidence supports RDoC NVS constructs’ clinical utility in assessing antidepressant effectiveness, but lack of discriminant validity between Potential Threat and Loss supports their recombination into a single Distress construct. Finding of effectiveness within “normal” construct levels support the utility of a dimensional approach. Testable hypotheses were generated that can further test RDoC’s clinical utility.
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Affiliation(s)
- Andrew Hui
- NorthWestern Mental Health, The Royal Melbourne Hospital, Melbourne, Australia
- * E-mail:
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19
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Lace JW, Merz ZC. DSM-5 Level 1 cross-cutting measure in an online sample: evaluating its latent dimensionality and utility detecting nonspecific psychological distress. Psychiatry Res 2020; 294:113529. [PMID: 33137552 DOI: 10.1016/j.psychres.2020.113529] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 10/20/2020] [Indexed: 01/22/2023]
Abstract
Included in the most recent Diagnostic and Statistical Manual of Mental Disorders is the Level 1 Cross-Cutting Symptom Measure (CCSM), a self-report checklist with 23 items assessing 13 major psychiatric symptom clusters. To date, minimal literature has examined the factor structure of the CCSM and its utility identifying significant psychological distress, and existing studies pose notable limitations. Four hundred (400) American adults (M age = 34.13; 50.2% female) participated online via Amazon Mechanical Turk as part of a larger study, which included the CCSM. The sample was randomly split to conduct exploratory and confirmatory factor analyses (EFAs and CFAs). EFAs revealed structures with one (general psychopathology) and two (externalizing/serious mental illness and internalizing/affective) factors accounting for 67.3% and 73.7% of the variance, respectively. CFAs indicated good fit for both models, though statistical comparison of the models via χ2 difference test revealed the two-factor model provided significantly better fit. Areas under the receiver operating curve (AUCs) suggested that all CCSM variables of interest poorly differentiated those currently receiving mental health treatment from those who have never received mental health treatment (AUCs ranged from .57 to .68). Implications of these findings, various limitations, and recommendations for future lines of inquiry were discussed.
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Affiliation(s)
- John W Lace
- Cleveland Clinic, Department of Neurology, Section of Neuropsychology, Cleveland, OH, USA.
| | - Zachary C Merz
- Moses H. Cone Memorial Hospital, LeBauer Department of Neurology, Greensboro, NC, USA
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20
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Macatee RJ, Correa KA, Carrillo VL, Berenz E, Shankman SA. Distress Tolerance as a Familial Vulnerability for Distress-Misery Disorders. Behav Ther 2020; 51:905-916. [PMID: 33051033 PMCID: PMC7573202 DOI: 10.1016/j.beth.2019.12.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 12/16/2019] [Accepted: 12/18/2019] [Indexed: 11/19/2022]
Abstract
Low perceived distress tolerance (DT), a trait-like individual difference factor reflecting one's perceived ability to withstand aversive affective states, has been linked with current internalizing and substance use disorders (SUDs). However, perceived DT has not been systematically evaluated as a familial, transdiagnostic vulnerability factor for internalizing and SUDs. The current study tested whether perceived DT runs in families and whether it is reduced among individuals with versus without remitted internalizing/SUD psychopathology. Perceived DT and internalizing/SUDs were measured in 638 individuals (nested within 256 families). Analyses also adjusted for the effects of neuroticism to test whether DT was a specific vulnerability factor independent of temperamental negative affect. Analyses revealed that perceived DT was lower in individuals with remitted distress (i.e., major depression, generalized anxiety disorder, posttraumatic stress disorder) but not fear disorders (i.e., panic disorder, social anxiety disorder, specific phobia, obsessive-compulsive spectrum disorders) relative to healthy controls, and the effect of distress-misery disorder history remained significant when adjusting for neuroticism. Perceived DT was not significantly different among individuals with versus without a remitted SUD. There were no effects for comorbid SUD and distress-misery disorders. Finally, perceived DT was also significantly correlated within families, suggesting that it runs in families. Overall, results suggest that independent of neuroticism, low perceived DT is a familial vulnerability for distress (but not fear or substance use) disorders.
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21
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Parental internalizing disorder and the developmental trajectory of infant self-regulation: The moderating role of positive parental behaviors. Dev Psychopathol 2020; 34:1-17. [PMID: 32958086 DOI: 10.1017/s0954579420001042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Child self-regulation (SR), a key indicator for later optimal developmental outcomes, may be compromised in the presence of parental mental disorders, especially those characterized by affective dysregulation. However, positive parental behaviors have been shown to buffer against such negative effects, especially during infancy when SR shows great plasticity to environmental inputs. The current study investigated the effect of maternal and paternal lifetime and current internalizing disorders on the developmental trajectory of infant SR from 3 to 24 months, and the potential moderating role of positive parental behaviors. A latent growth model revealed that SR increased overall from 3 to 24 months. Mothers' positive parental behaviors demonstrated significant moderation effects, such that maternal lifetime internalizing disorder was associated with higher SR intercept only among those with low levels of positive parental behavior. Mothers' lifetime internalizing disorder was also associated with a lower linear slope in SR development with a moderate effect size. Fathers' current internalizing disorder was significantly associated with a higher intercept and lower linear slope of the SR trajectory. The current study expands the infant SR literature by describing its early developmental trajectory as well as early risk and protective factors within the parent-infant environment, taking into consideration developmental inputs from both parents.
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22
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Perinatal anxiety and depressive symptoms and perception of child behavior and temperament in early motherhood. J Dev Orig Health Dis 2020; 12:513-522. [PMID: 32907691 DOI: 10.1017/s2040174420000781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The perinatal period is a vulnerable time for the development of psychopathology, particularly mood and anxiety disorders. In the study of maternal anxiety, important questions remain regarding the association between maternal anxiety symptoms and subsequent child outcomes. This study examined the association between depressive and anxiety symptoms, namely social anxiety, panic, and agoraphobia disorder symptoms during the perinatal period and maternal perception of child behavior, specifically different facets of development and temperament. Participants (N = 104) were recruited during pregnancy from a community sample. Participants completed clinician-administered and self-report measures of depressive and anxiety symptoms during the third trimester of pregnancy and at 16 months postpartum; child behavior and temperament outcomes were assessed at 16 months postpartum. Child development areas included gross and fine motor skills, language and problem-solving abilities, and personal/social skills. Child temperament domains included surgency, negative affectivity, and effortful control. Hierarchical multiple regression analyses demonstrated that elevated prenatal social anxiety symptoms significantly predicted more negative maternal report of child behavior across most measured domains. Elevated prenatal social anxiety and panic symptoms predicted more negative maternal report of child effortful control. Depressive and agoraphobia symptoms were not significant predictors of child outcomes. Elevated anxiety symptoms appear to have a distinct association with maternal report of child development and temperament. Considering the relative influence of anxiety symptoms, particularly social anxiety, on maternal report of child behavior and temperament can help to identify potential difficulties early on in mother-child interactions as well as inform interventions for women and their families.
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23
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Hartmann AS, Staufenbiel T, Bielefeld L, Buhlmann U, Heinrichs N, Martin A, Ritter V, Kollei I, Grocholewski A. An empirically derived recommendation for the classification of body dysmorphic disorder: Findings from structural equation modeling. PLoS One 2020; 15:e0233153. [PMID: 32492037 PMCID: PMC7269265 DOI: 10.1371/journal.pone.0233153] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 04/29/2020] [Indexed: 01/10/2023] Open
Abstract
Body dysmorphic disorder (BDD), together with its subtype muscle dysmorphia (MD), has been relocated from the Somatoform Disorders category in the DSM-IV to the newly created Obsessive-Compulsive and Related Disorders category in the DSM-5. Both categorizations have been criticized, and an empirically derived classification of BDD is lacking. A community sample of N = 736 participants completed an online survey assessing different psychopathologies. Using a structural equation modeling approach, six theoretically derived models, which differed in their allocation of BDD symptoms to various factors (i.e. general psychopathology, somatoform, obsessive-compulsive and related disorders, affective, body image, and BDD model) were tested in the full sample and in a restricted sample (n = 465) which indicated primary concerns other than shape and weight. Furthermore, measurement invariance across gender was examined. Of the six models, only the body image model showed a good fit (CFI = 0.972, RMSEA = 0.049, SRMR = 0.027, TLI = 0.959), and yielded better AIC and BIC indices than the competing models. Analyses in the restricted sample replicated these findings. Analyses of measurement invariance of the body image model showed partial metric invariance across gender. The findings suggest that a body image model provides the best fit for the classification of BDD and MD. This is in line with previous studies showing strong similarities between eating disorders and BDD, including MD. Measurement invariance across gender indicates a comparable presentation and comorbid structure of BDD in males and females, which also corresponds to the equal prevalence rates of BDD across gender.
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Affiliation(s)
| | | | - Lukas Bielefeld
- Institute of Psychology, Osnabrück University, Osnabrück, Germany
| | - Ulrike Buhlmann
- Institute of Psychology, Münster University, Münster, Germany
| | - Nina Heinrichs
- Department of Psychology, University of Bremen, Bremen, Germany
| | - Alexandra Martin
- Institute of Psychology, Wuppertal University, Wuppertal, Germany
| | - Viktoria Ritter
- Institute of Psychology, Goethe University Frankfurt, Frankfurt, Germany
| | - Ines Kollei
- Institute of Psychology, Otto-Friedrich-University of Bamberg, Bamberg, Germany
| | - Anja Grocholewski
- Institute of Psychology, Technische Universität Braunschweig, Brunswick, Germany
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24
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Kotov R, Jonas KG, Carpenter WT, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Hobbs K, Reininghaus U, Slade T, South SC, Sunderland M, Waszczuk MA, Widiger TA, Wright AGC, Zald DH, Krueger RF, Watson D. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum. World Psychiatry 2020; 19:151-172. [PMID: 32394571 PMCID: PMC7214958 DOI: 10.1002/wps.20730] [Citation(s) in RCA: 139] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a scientific effort to address shortcomings of traditional mental disorder diagnoses, which suffer from arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. This paper synthesizes evidence on the validity and utility of the thought disorder and detachment spectra of HiTOP. These spectra are composed of symptoms and maladaptive traits currently subsumed within schizophrenia, other psychotic disorders, and schizotypal, paranoid and schizoid personality disorders. Thought disorder ranges from normal reality testing, to maladaptive trait psychoticism, to hallucinations and delusions. Detachment ranges from introversion, to maladaptive detachment, to blunted affect and avolition. Extensive evidence supports the validity of thought disorder and detachment spectra, as each spectrum reflects common genetics, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, biomarkers, and treatment response. Some of these characteristics are specific to one spectrum and others are shared, suggesting the existence of an overarching psychosis superspectrum. Further research is needed to extend this model, such as clarifying whether mania and dissociation belong to thought disorder, and explicating processes that drive development of the spectra and their subdimensions. Compared to traditional diagnoses, the thought disorder and detachment spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and higher acceptability to clinicians. Validated measures are available to implement the system in practice. The more informative, reliable and valid characterization of psychosis-related psychopathology offered by HiTOP can make diagnosis more useful for research and clinical care.
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Affiliation(s)
- Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Katherine G Jonas
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | | | - Michael N Dretsch
- Walter Reed Army Institute of Research, US Army Medical Research Directorate - West, Silver Spring, MD, USA
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Miriam K Forbes
- Department of Psychology, Macquarie University, Sydney, Australia
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | - Kelsey Hobbs
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
- ESRC Centre for Society and Mental Health, King's College London, London, UK
- Centre for Epidemiology and Public Health, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance Abuse, University of Sydney, Sydney, NSW, Australia
| | - Susan C South
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance Abuse, University of Sydney, Sydney, NSW, Australia
| | - Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Thomas A Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, South Bend, IN, USA
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25
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Sellbom M, Carragher N, Sunderland M, Calear AL, Batterham PJ. The role of maladaptive personality domains across multiple levels of the HiTOP structure. Personal Ment Health 2020; 14:30-50. [PMID: 31397079 DOI: 10.1002/pmh.1461] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 06/05/2019] [Accepted: 06/10/2019] [Indexed: 11/11/2022]
Abstract
This study aimed to examine associations between maladaptive personality traits and psychopathology from the perspective of the hierarchical taxonomy of psychopathology (HiTOP). We tested hierarchical structural models to further validate a portion of the structural components of HiTOP. We also tested a priori personality and psychopathology associations with three levels of the HiTOP hierarchy: general psychopathology, spectra and syndromes/disorders. We used a large sample from the general Australian population who completed a large set of personality and psychopathology inventories online. Confirmatory factor analyses indicated that internalizing, externalizing and thought dysfunction spectra emerged structurally, as expected per HiTOP, but also revealed that obsessive-compulsive disorder loaded on both internalizing and thought dysfunction and attention deficit hyperactivity disorder on both externalizing and internalizing. Furthermore, results indicated that almost all personality and psychopathology hypotheses were supported, although trait antagonism did not predict externalizing to the degree initially expected. Implications for personality and psychopathology are discussed. © 2019 John Wiley & Sons, Ltd.
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Affiliation(s)
- Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Natacha Carragher
- Prince of Wales Clinical School, University of New South Wales, Sydney, Australia
| | - Matthew Sunderland
- NHMRC Centre of Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia
| | - Alison L Calear
- Centre for Mental Health Research, Research School of Population Health, The Australian National University, Canberra, Australia
| | - Philip J Batterham
- Centre for Mental Health Research, Research School of Population Health, The Australian National University, Canberra, Australia
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Clark LA, Watson D. Constructing validity: New developments in creating objective measuring instruments. Psychol Assess 2019; 31:1412-1427. [PMID: 30896212 PMCID: PMC6754793 DOI: 10.1037/pas0000626] [Citation(s) in RCA: 290] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In this update of Clark and Watson (1995), we provide a synopsis of major points of our earlier article and discuss issues in scale construction that have become more salient as clinical and personality assessment has progressed over the past quarter-century. It remains true that the primary goal of scale development is to create valid measures of underlying constructs and that Loevinger's theoretical scheme provides a powerful model for scale development. We still discuss practical issues to help developers maximize their measures' construct validity, reiterating the importance of (a) clear conceptualization of target constructs, (b) an overinclusive initial item pool, (c) paying careful attention to item wording, (d) testing the item pool against closely related constructs, (e) choosing validation samples thoughtfully, and (f) emphasizing unidimensionality over internal consistency. We have added (g) consideration of the hierarchical structures of personality and psychopathology in scale development, discussion of (h) codeveloping scales in the context of these structures, (i) "orphan," and "interstitial" constructs, which do not fit neatly within these structures, (j) problems with "conglomerate" constructs, and (k) developing alternative versions of measures, including short forms, translations, informant versions, and age-based adaptations. Finally, we have expanded our discussions of (l) item-response theory and of external validity, emphasizing (m) convergent and discriminant validity, (n) incremental validity, and (o) cross-method analyses, such as questionnaires and interviews. We conclude by reaffirming that all mature sciences are built on the bedrock of sound measurement and that psychology must redouble its efforts to develop reliable and valid measures. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Carvalho L, Costa A, Otoni F, Junqueira P. Obsessive–compulsive personality disorder screening cut-off for the Conscientiousness dimension of the Dimensional Clinical Personality Inventory 2. THE EUROPEAN JOURNAL OF PSYCHIATRY 2019. [DOI: 10.1016/j.ejpsy.2019.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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Conway CC, Forbes MK, Forbush KT, Fried EI, Hallquist MN, Kotov R, Mullins-Sweatt SN, Shackman AJ, Skodol AE, South SC, Sunderland M, Waszczuk MA, Zald DH, Afzali MH, Bornovalova MA, Carragher N, Docherty AR, Jonas KG, Krueger RF, Patalay P, Pincus AL, Tackett JL, Reininghaus U, Waldman ID, Wright AG, Zimmermann J, Bach B, Bagby RM, Chmielewski M, Cicero DC, Clark LA, Dalgleish T, DeYoung CG, Hopwood CJ, Ivanova MY, Latzman RD, Patrick CJ, Ruggero CJ, Samuel DB, Watson D, Eaton NR. A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2019; 14:419-436. [PMID: 30844330 PMCID: PMC6497550 DOI: 10.1177/1745691618810696] [Citation(s) in RCA: 190] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
For more than a century, research on psychopathology has focused on categorical diagnoses. Although this work has produced major discoveries, growing evidence points to the superiority of a dimensional approach to the science of mental illness. Here we outline one such dimensional system-the Hierarchical Taxonomy of Psychopathology (HiTOP)-that is based on empirical patterns of co-occurrence among psychological symptoms. We highlight key ways in which this framework can advance mental-health research, and we provide some heuristics for using HiTOP to test theories of psychopathology. We then review emerging evidence that supports the value of a hierarchical, dimensional model of mental illness across diverse research areas in psychological science. These new data suggest that the HiTOP system has the potential to accelerate and improve research on mental-health problems as well as efforts to more effectively assess, prevent, and treat mental illness.
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Affiliation(s)
- Christopher C. Conway
- Department of Psychological Sciences, College of William & Mary, Williamsburg, VA, USA
| | - Miriam K. Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
| | | | - Eiko I. Fried
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Michael N. Hallquist
- Department of Psychology, The Pennsylvania State University, State College, PA, USA
| | - Roman Kotov
- Department of Psychiatry, State University of New York, Stony Brook, NY, USA
| | | | - Alexander J. Shackman
- Department of Psychology and Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD, USA
| | - Andrew E. Skodol
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Susan C. South
- Purdue University, Department of Psychological Sciences, West Lafayette, IN, USA
| | - Matthew Sunderland
- NHMRC Centre for Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia
| | - Monika A. Waszczuk
- Department of Psychiatry, State University of New York, Stony Brook, NY, USA
| | - David H. Zald
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | | | | | - Natacha Carragher
- Medical Education and Student Office, Faculty of Medicine, University of New South Wales Australia, Sydney, New South Wales, Australia
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Katherine G. Jonas
- Department of Psychiatry, State University of New York, Stony Brook, NY, USA
| | - Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Praveetha Patalay
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK
| | - Aaron L. Pincus
- Department of Psychology, The Pennsylvania State University, State College, PA, USA
| | | | - Ulrich Reininghaus
- Department of Psychiatry and Psychology, School for Mental Health and Neuroscience, Maastricht University, The Netherlands
- Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | | | - Aidan G.C. Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital, Slagelse, Denmark
| | - R. Michael Bagby
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada
| | | | - David C. Cicero
- Department of Psychology, University of Hawaii at Manoa, HI, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Tim Dalgleish
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK
| | - Colin G. DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - Masha Y. Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Robert D. Latzman
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Camilo J. Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Douglas B. Samuel
- Purdue University, Department of Psychological Sciences, West Lafayette, IN, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Nicholas R. Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
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Bullis JR, Boettcher H, Sauer‐Zavala S, Farchione TJ, Barlow DH. What is an emotional disorder? A transdiagnostic mechanistic definition with implications for assessment, treatment, and prevention. CLINICAL PSYCHOLOGY-SCIENCE AND PRACTICE 2019. [DOI: 10.1111/cpsp.12278] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Jacqueline R. Bullis
- Center for Anxiety and Related Disorders Boston University Boston Massachusetts
- Division of Depression and Anxiety Disorders Harvard Medical School McLean Hospital Belmont Massachusetts
| | - Hannah Boettcher
- Center for Anxiety and Related Disorders Boston University Boston Massachusetts
| | | | - Todd J. Farchione
- Center for Anxiety and Related Disorders Boston University Boston Massachusetts
| | - David H. Barlow
- Center for Anxiety and Related Disorders Boston University Boston Massachusetts
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The role of intolerance of uncertainty in current and remitted internalizing and externalizing psychopathology. J Anxiety Disord 2019; 62:68-76. [PMID: 30639836 DOI: 10.1016/j.janxdis.2019.01.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 12/18/2018] [Accepted: 01/02/2019] [Indexed: 12/12/2022]
Abstract
Intolerance of uncertainty (IU) is a putative key, transdiagnostic factor in internalizing psychopathologies. However, it is unclear if elevated levels of IU, as measured by the Intolerance of Uncertainty Scale, short form (IUS-12) and its subscales (prospective and inhibitory IU), persist into remission of internalizing psychopathologies (or particular types of internalizing psychopathologies; e.g., fear vs. distress-misery disorders). It is also unknown if IU is specifically characteristic of internalizing (vs. externalizing) psychopathology and whether this relationship is independent of neuroticism/negative affectivity (N/NA). A large community sample (n = 517) completed a diagnostic interview and self-report measures of IU and N/NA. Results indicated that, independent of N/NA, IU was elevated in current fear and distress/misery disorders, but not externalizing disorders. Individuals with remitted fear disorders also displayed significantly elevated levels of IU in comparison to healthy controls after adjusting for levels of N/NA. In terms of subscales, elevated levels of inhibitory IU, and not prospective IU, demonstrated more reliable relationships with internalizing psychopathologies. In summary, IU was more consistently related to fear disorders, demonstrated incremental validity over and above the effects of N/NA, and may be a key, transdiagnostic mechanism in fear disorders.
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31
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Huprich SK. Moving beyond categories and dimensions in personality pathology assessment and diagnosis. Br J Psychiatry 2018; 213:685-689. [PMID: 30106357 DOI: 10.1192/bjp.2018.149] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
It has been suggested that a dimensional model of personality pathology should be adopted for the development and refinement of personality disorder classification. In this article, the advantages and challenges of moving toward a dimensional model are briefly reviewed. However, it is suggested that although categories and dimensions are valuable frameworks for personality pathology diagnosis, an expansion beyond categories and dimensions is needed to improve the shortcoming seen in current diagnostic systems. Ideas and examples are offered for how this might occur.Declaration of interestNone.
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Affiliation(s)
- Steven K Huprich
- Professor, Department of Psychology,University of Detroit Mercy,USA
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32
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de Jonge P, Wardenaar KJ, Lim CCW, Aguilar-Gaxiola S, Alonso J, Andrade LH, Bunting B, Chatterji S, Ciutan M, Gureje O, Karam EG, Lee S, Medina-Mora ME, Moskalewicz J, Navarro-Mateu F, Pennell BE, Piazza M, Posada-Villa J, Torres Y, Kessler RC, Scott K. The cross-national structure of mental disorders: results from the World Mental Health Surveys. Psychol Med 2018; 48:2073-2084. [PMID: 29254513 PMCID: PMC6008201 DOI: 10.1017/s0033291717003610] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND The patterns of comorbidity among mental disorders have led researchers to model the underlying structure of psychopathology. While studies have suggested a structure including internalizing and externalizing disorders, less is known with regard to the cross-national stability of this model. Moreover, little data are available on the placement of eating disorders, bipolar disorder and psychotic experiences (PEs) in this structure. METHODS We evaluated the structure of mental disorders with data from the World Health Organization Composite International Diagnostic Interview, including 15 lifetime mental disorders and six PEs. Respondents (n = 5478-15 499) were included from 10 high-, middle- and lower middle-income countries across the world aged 18 years or older. Confirmatory factor analyses (CFAs) were used to evaluate and compare the fit of different factor structures to the lifetime disorder data. Measurement invariance was evaluated with multigroup CFA (MG-CFA). RESULTS A second-order model with internalizing and externalizing factors and fear and distress subfactors best described the structure of common mental disorders. MG-CFA showed that this model was stable across countries. Of the uncommon disorders, bipolar disorder and eating disorder were best grouped with the internalizing factor, and PEs with a separate factor. CONCLUSIONS These results indicate that cross-national patterns of lifetime common mental-disorder comorbidity can be explained with a second-order underlying structure that is stable across countries and can be extended to also cover less common mental disorders.
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Affiliation(s)
- Peter de Jonge
- Developmental Psychology,Department of Psychology,Rijksuniversiteit Groningen,Groningen,Netherlands
| | - Klaas J Wardenaar
- Department of Psychiatry,Interdisciplinary Center Psychopathology and Emotion Regulation,University Medical Center Groningen,Groningen,Netherlands
| | - Carmen C W Lim
- Department of Psychological Medicine,University of Otago,Dunedin, Otago,New Zealand
| | - Sergio Aguilar-Gaxiola
- Center for Reducing Health Disparities,UC Davis Health System,Sacramento, California,USA
| | - Jordi Alonso
- Health Services Research Unit,IMIM-Hospital del Mar Medical Research Institute,Barcelona,Spain
| | - Laura Helena Andrade
- Núcleo de Epidemiologia Psiquiátrica - LIM 23,Instituto de Psiquiatria Hospital das Clinicas da Faculdade de Medicina da Universidade,de São Paulo,Brazil
| | | | - Somnath Chatterji
- Department of Information,Evidence and Research, World Health Organization,Geneva,Switzerland
| | - Marius Ciutan
- National School of Public Health,Management and Development,Bucharest,Romania
| | - Oye Gureje
- Department of Psychiatry,University College Hospital,Ibadan,Nigeria
| | - Elie G Karam
- Department of Psychiatry and Clinical Psychology,St George Hospital University Medical Center, Balamand University,Faculty of Medicine,Beirut,Lebanon
| | - Sing Lee
- Department of Psychiatry,Chinese University of Hong Kong,Tai Po,Hong Kong
| | | | | | - Fernando Navarro-Mateu
- UDIF-SM, Subdirección General de Planificación, Innovación y Cronicidad, Servicio Murciano de Salud; IMIB-Arrixaca; CIBERESP-Murcia,Murcia,Spain
| | - Beth-Ellen Pennell
- Survey Research Center,Institute for Social Research,University of Michigan,Ann Arbor, Michigan,USA
| | | | - José Posada-Villa
- Colegio Mayor de Cundinamarca University, Faculty of Social Sciences,Bogota,Colombia
| | - Yolanda Torres
- Center for Excellence on Research in Mental Health, CES University,Medellin,Colombia
| | - Ronald C Kessler
- Department of Health Care Policy,Harvard Medical School,Boston, Massachusetts,USA
| | - Kate Scott
- Department of Psychological Medicine,University of Otago,Dunedin, Otago,New Zealand
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Kotov R, Ruggero CJ, Krueger RF, Watson D, Zimmerman M. The perils of hierarchical exclusion rules: A further word of caution. Depress Anxiety 2018; 35:903-904. [PMID: 30178498 DOI: 10.1002/da.22826] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 07/11/2018] [Indexed: 11/06/2022] Open
Affiliation(s)
- Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Camilo J Ruggero
- Department of Psychology, University of North Texas, Denton, Texas
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana
| | - Mark Zimmerman
- Department of Psychiatry and Human Behavior, Brown Medical School, Rhode Island Hospital, Providence, Rhode Island
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Schneider SC, Baillie AJ, Mond J, Turner CM, Hudson JL. The classification of body dysmorphic disorder symptoms in male and female adolescents. J Affect Disord 2018; 225:429-437. [PMID: 28858657 DOI: 10.1016/j.jad.2017.08.062] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 08/10/2017] [Accepted: 08/20/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND Body dysmorphic disorder (BDD) was categorised in DSM-5 within the newly created 'obsessive-compulsive and related disorders' chapter, however this classification remains subject to debate. Confirmatory factor analysis was used to test competing models of the co-occurrence of symptoms of BDD, obsessive-compulsive disorder, unipolar depression, anxiety, and eating disorders in a community sample of adolescents, and to explore potential sex differences in these models. METHODS Self-report questionnaires assessing disorder symptoms were completed by 3149 Australian adolescents. The fit of correlated factor models was calculated separately in males and females, and measurement invariance testing compared parameters of the best-fitting model between males and females. RESULTS All theoretical models of the classification of BDD had poor fit to the data. Good fit was found for a novel model where BDD symptoms formed a distinct latent factor, correlated with affective disorder and eating disorder latent factors. Metric non-invariance was found between males and females, and the majority of factor loadings differed between males and females. Correlations between some latent factors also differed by sex. LIMITATIONS Only cross-sectional data were collected, and the study did not assess a broad range of DSM-5 defined eating disorder symptoms or other disorders in the DSM-5 obsessive-compulsive and related disorders chapter. CONCLUSIONS This study is the first to statistically evaluate competing models of BDD classification. The findings highlight the unique features of BDD and its associations with affective and eating disorders. Future studies examining the classification of BDD should consider developmental and sex differences in their models.
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Affiliation(s)
- Sophie C Schneider
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
| | - Andrew J Baillie
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia; NHMRC Centre of Research Excellence in Mental Health and Substance Use, Australia
| | - Jonathan Mond
- Centre for Rural Health, School of Health Sciences, University of Tasmania, Launceston, Australia; Centre for Health Research, School of Medicine, Western Sydney University, Sydney, Australia
| | - Cynthia M Turner
- School of Psychology, Australian Catholic University, Brisbane, Australia
| | - Jennifer L Hudson
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia.
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Dornbach-Bender A, Ruggero CJ, Waszczuk MA, Gamez W, Watson D, Kotov R. Mapping emotional disorders at the finest level: Convergent validity and joint structure based on alternative measures. Compr Psychiatry 2017; 79:31-39. [PMID: 28754505 DOI: 10.1016/j.comppsych.2017.06.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Revised: 05/15/2017] [Accepted: 06/22/2017] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Traditional categorization of emotional disorders suffers from within-disorder heterogeneity and excessive comorbidity. Quantitative nosology instead proposes grouping homogenous components of these disorders within a higher order internalizing dimension. However, the precise number, composition, and hierarchical structure of these components remains unclear and varies based on assessment tools. METHODS The present study jointly examined two assessment systems with the broadest coverage of homogeneous emotional disorder components-the revised Interview for Mood and Anxiety Symptoms (IMAS-R) and the self-report-based expanded version of the Inventory of Depression and Anxiety Symptoms (IDAS-II)-to map their convergent and discriminant validity and joint structure in outpatient (N=426) and treated student (N=306) samples. RESULTS Results identified 33 non-redundant components of emotional disorders. Most demonstrated strong convergent and discriminant validity between these two instruments. However, the IMAS-R provided more detailed and differentiated characterization of the content subsumed within three IDAS-II scales, and seven of the 33 components were unique to one measure or the other. Joint analysis of scales from both measures supported a four factor (i.e., distress, fear, OCD, mania) mid-level structure of emotional disorders. CONCLUSIONS Using multiple measures, methods, and samples, the present study provided evidence for the validity of core lower order components of the internalizing dimension and suggested they cluster into as many as four distinct factors reflecting distress, fear, OCD, and mania.
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Affiliation(s)
- Allison Dornbach-Bender
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX 76203, United States.
| | - Camilo J Ruggero
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX 76203, United States.
| | - Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, HSC, Level T-10, Room 060F, Stony Brook, NY 11794-8101, United States.
| | - Wakiza Gamez
- Department of Psychology, University of Iowa, Iowa City, IA, USA.
| | - David Watson
- Department of Psychology, 118 Haggar Hall, University of Notre Dame, Notre Dame, IN 46556, United States.
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, HSC, Level T-10, Room 060H, Stony Brook, NY 11794-8101, United States.
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Forbush KT, Hagan KE, Kite BA, Chapa DAN, Bohrer BK, Gould SR. Understanding eating disorders within internalizing psychopathology: A novel transdiagnostic, hierarchical-dimensional model. Compr Psychiatry 2017; 79:40-52. [PMID: 28755757 DOI: 10.1016/j.comppsych.2017.06.009] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 05/22/2017] [Accepted: 06/22/2017] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Several problems with the classification and diagnosis of eating disorders (EDs) have been identified, including proliferation of 'other specified' diagnoses, within-disorder heterogeneity, and frequent diagnostic migration over time. Beyond problems within EDs, past research suggested that EDs fit better in a spectrum of internalizing psychopathology (characterized by mood and anxiety disorders) than in a separate diagnostic class. PURPOSE To develop a transdiagnostic, hierarchical-dimensional model relevant to ED psychopathology that: 1) reduces diagnostic heterogeneity, 2) includes important dimensions of internalizing psychopathology that are often excluded from ED diagnostic models, and 3) predicts clinical impairment. PROCEDURES Goldberg's (2006) method and exploratory structural equation modeling were used to identify a hierarchical model of internalizing in community-recruited adults with EDs (N=207). FINDINGS The lowest level of the hierarchy was characterized by 15 factors that defined specific aspects of eating, mood, and anxiety disorders. At the two-factor level, Internalizing bifurcated into Distress (low well-being, body dissatisfaction, suicidality, dysphoria, ill temper, traumatic intrusions) and Fear-Avoidance (claustrophobia, social avoidance, panic symptoms, dietary restricting, excessive exercise, and compulsions). Results showed that the lowest level of the hierarchy predicted 67.7% of the variance in clinical impairment. In contrast, DSM eating, mood, and anxiety disorders combined predicted 10.6% of the variance in impairment secondary to an ED. CONCLUSIONS The current classification model represents an improvement over traditional nosologies for predicting clinically relevant outcomes for EDs.
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Waszczuk MA, Zimmerman M, Ruggero C, Li K, MacNamara A, Weinberg A, Hajcak G, Watson D, Kotov R. What do clinicians treat: Diagnoses or symptoms? The incremental validity of a symptom-based, dimensional characterization of emotional disorders in predicting medication prescription patterns. Compr Psychiatry 2017; 79:80-88. [PMID: 28495012 PMCID: PMC5643213 DOI: 10.1016/j.comppsych.2017.04.004] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 04/14/2017] [Accepted: 04/14/2017] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Although practice guidelines are based on disorders specified in diagnostic manuals, such as the DSM, practitioners appear to follow symptoms when making treatment decisions. Psychiatric medication is generally prescribed in a transdiagnostic manner, further highlighting how symptoms, not diagnoses, often guide clinical practice. A quantitative approach to nosology promises to provide better guidance as it describes psychopathology dimensionally and its organization reflects patterns of covariation among symptoms. AIM To investigate whether a quantitative classification of emotional disorders can account for naturalistic medication prescription patterns better than traditional diagnoses. METHODS Symptom dimensions and DSM diagnoses of emotional disorders, as well as prescribed medications, were assessed using interviews in a psychiatric outpatient sample (N=318, mean age 42.5years old, 59% female, 81% Caucasian). RESULTS Each diagnosis was associated with prescription of multiple medication classes, and most medications were associated with multiple disorders. This was largely due to heterogeneity of clinical diagnoses, with narrow, homogenous dimensions underpinning diagnoses showing different medication profiles. Symptom dimensions predicted medication prescription better than DSM diagnoses, irrespective of whether this was examined broadly across all conditions, or focused on a specific disorder and medication indicated for it. CONCLUSIONS Psychiatric medication was prescribed in line with symptoms rather than DSM diagnoses. A quantitative approach to nosology may better reflect treatment planning and be a more effective guide to pharmacotherapy than traditional diagnoses. This adds to a diverse body of evidence about superiority of the quantitative system in practical applications and highlights its potential to improve psychiatric care.
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Affiliation(s)
- Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Mark Zimmerman
- Department of Psychiatry and Human Behavior, Brown Medical School, Providence, RI, USA; Department of Psychiatry, Rhode Island Hospital, Providence, RI, USA
| | - Camilo Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Kaiqiao Li
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Annmarie MacNamara
- Department of Psychology, Texas A&M University, College Station, TX, USA
| | - Anna Weinberg
- Department of Psychology, McGill University, Montreal, Canada
| | - Greg Hajcak
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA.
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38
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Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span. Dev Psychopathol 2017; 28:971-986. [PMID: 27739384 DOI: 10.1017/s0954579416000651] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
We propose a novel developmentally informed framework to push research beyond a focus on comorbidity between discrete diagnostic categories and to move toward research based on the well-validated dimensional and hierarchical structure of psychopathology. For example, a large body of research speaks to the validity and utility of the internalizing and externalizing spectra as organizing constructs for research on common forms of psychopathology. The internalizing and externalizing spectra act as powerful explanatory variables that channel the psychopathological effects of genetic and environmental risk factors, predict adaptive functioning, and account for the likelihood of disorder-level manifestations of psychopathology. As such, our proposed theoretical framework uses the internalizing and externalizing spectra as central constructs to guide future psychopathology research across the life span. The framework is particularly flexible, because any of the facets or factors from the dimensional and hierarchical structure of psychopathology can form the focus of research. We describe the utility and strengths of this framework for developmental psychopathology in particular and explore avenues for future research.
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Jeronimus BF, Kotov R, Riese H, Ormel J. Neuroticism's prospective association with mental disorders halves after adjustment for baseline symptoms and psychiatric history, but the adjusted association hardly decays with time: a meta-analysis on 59 longitudinal/prospective studies with 443 313 participants. Psychol Med 2016; 46:2883-2906. [PMID: 27523506 DOI: 10.1017/s0033291716001653] [Citation(s) in RCA: 150] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND This meta-analysis seeks to quantify the prospective association between neuroticism and the common mental disorders (CMDs, including anxiety, depression, and substance abuse) as well as thought disorders (psychosis/schizophrenia) and non-specific mental distress. Data on the degree of confounding of the prospective association of neuroticism by baseline symptoms and psychiatric history, and the rate of decay of neuroticism's effect over time, can inform theories about the structure of psychopathology and role of neuroticism, in particular the vulnerability theory. METHOD This meta-analysis included 59 longitudinal/prospective studies with 443 313 participants. RESULTS The results showed large unadjusted prospective associations between neuroticism and symptoms/diagnosis of anxiety, depression, and non-specific mental distress (d = 0.50-0.70). Adjustment for baseline symptoms and psychiatric history reduced the associations by half (d = 0.10-0.40). Unadjusted prospective associations for substance abuse and thought disorders/symptoms were considerably weaker (d = 0.03-0.20), but were not attenuated by adjustment for baseline problems. Unadjusted prospective associations were four times larger over short (<4 year) than long (⩾4 years) follow-up intervals, suggesting a substantial decay of the association with increasing time intervals. Adjusted effects, however, were only slightly larger over short v. long time intervals. This indicates that confounding by baseline symptoms and psychiatric history masks the long-term stability of the neuroticism vulnerability effect. CONCLUSION High neuroticism indexes a risk constellation that exists prior to the development and onset of any CMD. The adjusted prospective neuroticism effect remains robust and hardly decays with time. Our results underscore the need to focus on the mechanisms underlying this prospective association.
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Affiliation(s)
- B F Jeronimus
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| | - R Kotov
- Department of Psychiatry,Stony Brook University,NY,USA
| | - H Riese
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| | - J Ormel
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
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Jenkins LM, Barba A, Campbell M, Lamar M, Shankman SA, Leow AD, Ajilore O, Langenecker SA. Shared white matter alterations across emotional disorders: A voxel-based meta-analysis of fractional anisotropy. NEUROIMAGE-CLINICAL 2016; 12:1022-1034. [PMID: 27995068 PMCID: PMC5153602 DOI: 10.1016/j.nicl.2016.09.001] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Revised: 08/30/2016] [Accepted: 09/01/2016] [Indexed: 02/02/2023]
Abstract
Background White matter (WM) integrity may represent a shared biomarker for emotional disorders (ED). Aims: To identify transdiagnostic biomarkers of reduced WM by meta-analysis of findings across multiple EDs. Method Web of Science was searched systematically for studies of whole brain analysis of fractional anisotropy (FA) in adults with major depressive disorder, bipolar disorder, social anxiety disorder, obsessive-compulsive disorder or posttraumatic stress disorder compared with a healthy control (HC) group. Peak MNI coordinates were extracted from 37 studies of voxel-based analysis (892 HC and 962 with ED) and meta-analyzed using seed-based d Mapping (SDM) Version 4.31. Separate meta-analyses were also conducted for each disorder. Results In the transdiagnostic meta-analysis, reduced FA was identified in ED studies compared to HCs in the left inferior fronto-occipital fasciculus, forceps minor, uncinate fasciculus, anterior thalamic radiation, superior corona radiata, bilateral superior longitudinal fasciculi, and cerebellum. Disorder-specific meta-analyses revealed the OCD group had the most similarities in reduced FA to other EDs, with every cluster of reduced FA overlapping with at least one other diagnosis. The PTSD group was the most distinct, with no clusters of reduced FA overlapping with any other diagnosis. The BD group were the only disorder to show increased FA in any region, and showed a more bilateral pattern of WM changes, compared to the other groups which tended to demonstrate a left lateralized pattern of FA reductions. Conclusions Distinct diagnostic categories of ED show commonalities in WM tracts with reduced FA when compared to HC, which links brain networks involved in cognitive and affective processing. This meta-analysis facilitates an increased understanding of the biological markers that are shared by these ED. A meta-analysis of FA in MDD, bipolar, social anxiety disorder, OCD and PTSD Reduced FA in left superior longitudinal and inferior fronto-occipital fasciculi Distinct diagnostic categories show commonalities of white matter changes. Differences among diagnostic categories also found, PTSD most distinct White matter integrity may be a shared biomarker for emotional disorders.
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Affiliation(s)
| | - Alyssa Barba
- The University of Illinois at Chicago, Department of Psychiatry
| | | | - Melissa Lamar
- The University of Illinois at Chicago, Department of Psychiatry
| | | | - Alex D Leow
- The University of Illinois at Chicago, Department of Psychiatry
| | - Olusola Ajilore
- The University of Illinois at Chicago, Department of Psychiatry
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Sugiura T, Sugiura Y. Relationships Between Refraining From Catastrophic Thinking, Repetitive Negative Thinking, and Psychological Distress. Psychol Rep 2016; 119:374-94. [DOI: 10.1177/0033294116663511] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Skills to refrain from catastrophic thinking were negatively related to worry and a wide range of psychological distress. Repetitive negative thinking (including worry) is proposed as a common etiological factor for a wide range of psychological distress. Therefore, reduced repetitive negative thinking would mediate the negative relation between refraining from catastrophic thinking and psychological distress (depression, social anxiety, phobia, generalized anxiety, and obsessions and compulsions). As an overlap between five indices of psychological distress was expected, we first computed latent factors underlying them, which were then predicted by refraining from catastrophic thinking and repetitive negative thinking. Cross-sectional questionnaire data from 125 nonclinical voluntarily participating students ( M age = 19.0 years, SD = 3.6; 54% women) supported the predictions: refraining from catastrophic thinking was negatively correlated with depression, social anxiety, phobia, generalized anxiety, and obsession and compulsion. Repetitive negative thinking mediated the negative relationship between refraining from catastrophic thinking and latent factors underlying psychological distress (Fear and Distress). Refraining from catastrophic thinking may be negatively correlated with psychological distress due to its negative relation to repetitive negative thinking.
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Affiliation(s)
- Tomoko Sugiura
- Graduate School of Integrated Arts and Sciences, Hiroshima University, Higashi-Hiroshima, Japan
| | - Yoshinori Sugiura
- Graduate School of Integrated Arts and Sciences, Hiroshima University, Higashi-Hiroshima, Japan
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Shackman AJ, Fox AS. Contributions of the Central Extended Amygdala to Fear and Anxiety. J Neurosci 2016; 36:8050-63. [PMID: 27488625 PMCID: PMC4971357 DOI: 10.1523/jneurosci.0982-16.2016] [Citation(s) in RCA: 191] [Impact Index Per Article: 23.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Revised: 05/30/2016] [Accepted: 06/03/2016] [Indexed: 01/01/2023] Open
Abstract
It is widely thought that phasic and sustained responses to threat reflect dissociable circuits centered on the central nucleus of the amygdala (Ce) and the bed nucleus of the stria terminalis (BST), the two major subdivisions of the central extended amygdala. Early versions of this hypothesis remain highly influential and have been incorporated into the National Institute of Mental Health Research Research Domain Criteria framework. However, new observations encourage a different perspective. Anatomical studies show that the Ce and BST form a tightly interconnected unit, where different kinds of threat-relevant information can be integrated and used to assemble states of fear and anxiety. Imaging studies in humans and monkeys show that the Ce and BST exhibit similar functional profiles. Both regions are sensitive to a range of aversive challenges, including uncertain or temporally remote threat; both covary with concurrent signs and symptoms of fear and anxiety; both show phasic responses to short-lived threat; and both show heightened activity during sustained exposure to diffusely threatening contexts. Mechanistic studies demonstrate that both regions can control the expression of fear and anxiety during sustained exposure to diffuse threat. These observations compel a reconsideration of the central extended amygdala's contributions to fear and anxiety and its role in neuropsychiatric disease.
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Affiliation(s)
- Alexander J Shackman
- Department of Psychology, Neuroscience and Cognitive Science Program, and Maryland Neuroimaging Center, University of Maryland, College Park, Maryland 20742, and
| | - Andrew S Fox
- Department of Psychology and California National Primate Research Center, University of California, Davis, California 95616
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Kapfhammer HP, Fitz W, Huppert D, Grill E, Brandt T. Visual height intolerance and acrophobia: distressing partners for life. J Neurol 2016; 263:1946-53. [PMID: 27383642 PMCID: PMC5037147 DOI: 10.1007/s00415-016-8218-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 06/23/2016] [Accepted: 06/23/2016] [Indexed: 11/25/2022]
Abstract
The course of illness, the degree of social impairment, and the rate of help-seeking behavior was evaluated in a sample of individuals with visual height intolerance (vHI) and acrophobia. On the basis of a previously described epidemiological sample representative of the German general population, 574 individuals with vHI were identified, 128 fulfilled the DSM-5 diagnostic criteria of acrophobia. The illness of the majority of all susceptible individuals with vHI ran a year-long chronic course. Two thirds were in the category “persistent/worse”, whereas only one third was in the category “improved/remitted”. Subjects with acrophobia showed significantly more traumatic triggers of onset, more signs of generalization to other height stimuli, higher rates of increasing intensity of symptom load, higher grades of social impairment, and greater overall negative impact on the quality of life than those with pure vHI. An unfavorable course of illness in pure vHI was predicted by major depression, agoraphobia, social phobia, posttraumatic stress, initial traumatic trigger, and female sex; an unfavorable course in acrophobia was predicted by major depression, chronic fatigue, panic attacks, initial traumatic trigger, social phobia, other specific phobic fears, and female sex. Help-seeking behavior was astonishingly low in the overall sample of individuals with vHI. The consequences of therapeutic interventions if complied with at all were quite modest. In adults pure vHI and even more so acrophobia are by no means only transitionally distressing states. In contrast to their occurrence in children they are more often persisting and disabling conditions. Both the utilization of and adequacy of treatment of these illnesses pose major challenges within primary and secondary neurological and psychiatric medical care.
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Affiliation(s)
- Hans-Peter Kapfhammer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Auenbruggerplatz 31, 8036, Graz, Austria.
| | - Werner Fitz
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Auenbruggerplatz 31, 8036, Graz, Austria
| | - Doreen Huppert
- Institute for Clinical Neurosciences and German Dizziness Center, Ludwig-Maximilians University, Munich, Germany
| | - Eva Grill
- Institute for Medical Information Processing, Biometrics and Epidemiology (IBE), German Dizziness Center, Ludwig-Maximilians University, Munich, Germany
| | - Thomas Brandt
- Institute for Clinical Neurosciences and German Dizziness Center, Ludwig-Maximilians University, Munich, Germany
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Panic disorder and agoraphobia: A direct comparison of their multivariate comorbidity patterns. J Affect Disord 2016; 190:75-83. [PMID: 26480214 DOI: 10.1016/j.jad.2015.09.060] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Revised: 09/04/2015] [Accepted: 09/25/2015] [Indexed: 12/16/2022]
Abstract
BACKGROUND Scientific debate has long surrounded whether agoraphobia is a severe consequence of panic disorder or a frequently comorbid diagnosis. Multivariate comorbidity investigations typically treat these diagnoses as fungible in structural models, assuming both are manifestations of the fear-subfactor in the internalizing-externalizing model. No studies have directly compared these disorders' multivariate associations, which could clarify their conceptualization in classification and comorbidity research. METHODS In a nationally representative sample (N=43,093), we examined the multivariate comorbidity of panic disorder (1) without agoraphobia, (2) with agoraphobia, and (3) regardless of agoraphobia; and (4) agoraphobia without panic. We conducted exploratory and confirmatory factor analyses of these and 10 other lifetime DSM-IV diagnoses in a nationally representative sample (N=43,093). RESULTS Differing bivariate and multivariate relations were found. Panic disorder without agoraphobia was largely a distress disorder, related to emotional disorders. Agoraphobia without panic was largely a fear disorder, related to phobias. When considered jointly, concomitant agoraphobia and panic was a fear disorder, and when panic was assessed without regard to agoraphobia (some individuals had agoraphobia while others did not) it was a mixed distress and fear disorder. LIMITATIONS Diagnoses were obtained from comprehensively trained lay interviewers, not clinicians and analyses used DSM-IV diagnoses (rather than DSM-5). CONCLUSIONS These findings support the conceptualization of agoraphobia as a distinct diagnostic entity and the independent classification of both disorders in DSM-5, suggesting future multivariate comorbidity studies should not assume various panic/agoraphobia diagnoses are invariably fear disorders.
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MacNamara A, Kotov R, Hajcak G. Diagnostic and symptom-based predictors of emotional processing in generalized anxiety disorder and major depressive disorder: An event-related potential study. COGNITIVE THERAPY AND RESEARCH 2015; 40:275-289. [PMID: 27346901 DOI: 10.1007/s10608-015-9717-1] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The delineation of specific versus overlapping mechanisms in GAD and MDD could shed light on the integrity of these diagnostic categories. For example, negative emotion generation is one mechanism that may be especially relevant to both disorders. Emotional processing abnormalities were examined among 97 outpatients with generalized anxiety disorder (GAD) or major depressive disorder (MDD) and 25 healthy adults, using the late positive potential (LPP), an event-related potential that is larger for emotional versus neutral stimuli. GAD and MDD were also assessed dimensionally across all participants. Both MDD diagnosis and dimensional depression scores were associated with reduced ΔLPP. When controlling for MDD diagnosis/dimension, both the diagnosis and dimension of GAD were associated with increased ΔLPP. Both MDD and GAD dimensions, but not diagnoses, were associated with increased ΔRT to targets that followed emotional pictures. Therefore, MDD and GAD have distinguishable and opposing features evident in neural measures of emotion processing.
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Affiliation(s)
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University
| | - Greg Hajcak
- Department of Psychology, Stony Brook University
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46
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Nelson BD, Perlman G, Hajcak G, Klein DN, Kotov R. Familial risk for distress and fear disorders and emotional reactivity in adolescence: an event-related potential investigation. Psychol Med 2015; 45:2545-2556. [PMID: 25851615 PMCID: PMC4702485 DOI: 10.1017/s0033291715000471] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND The late positive potential (LPP) is an event-related potential component that is sensitive to the motivational salience of stimuli. Children with a parental history of depression, an indicator of risk, have been found to exhibit an attenuated LPP to emotional stimuli. Research on depressive and anxiety disorders has organized these conditions into two empirical classes: distress and fear disorders. The present study examined whether parental history of distress and fear disorders was associated with the LPP to emotional stimuli in a large sample of adolescent girls. METHOD The sample of 550 girls (ages 13.5-15.5 years) with no lifetime history of depression completed an emotional picture-viewing task and the LPP was measured in response to neutral, pleasant and unpleasant pictures. Parental lifetime history of psychopathology was determined via a semi-structured diagnostic interview with a biological parent, and confirmatory factor analysis was used to model distress and fear dimensions. RESULTS Parental distress risk was associated with an attenuated LPP to all stimuli. In contrast, parental fear risk was associated with an enhanced LPP to unpleasant pictures but was unrelated to the LPP to neutral and pleasant pictures. Furthermore, these results were independent of the adolescent girls' current depression and anxiety symptoms and pubertal status. CONCLUSIONS The present study demonstrates that familial risk for distress and fear disorders may have unique profiles in terms of electrocortical measures of emotional information processing. This study is also one of the first to investigate emotional/motivational processes underlying the distress and fear disorder dimensions.
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Affiliation(s)
- B D Nelson
- Department of Psychology,Stony Brook University,Stony Brook,NY 11794,USA
| | - G Perlman
- Department of Psychology,Stony Brook University,Stony Brook,NY 11794,USA
| | - G Hajcak
- Department of Psychology,Stony Brook University,Stony Brook,NY 11794,USA
| | - D N Klein
- Department of Psychology,Stony Brook University,Stony Brook,NY 11794,USA
| | - R Kotov
- Department of Psychology,Stony Brook University,Stony Brook,NY 11794,USA
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Ruggero CJ, Kotov R, Watson D, Kilmer JN, Perlman G, Liu K. Beyond a single index of mania symptoms: structure and validity of subdimensions. J Affect Disord 2014; 161:8-15. [PMID: 24751301 DOI: 10.1016/j.jad.2014.02.044] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2014] [Accepted: 02/28/2014] [Indexed: 11/18/2022]
Abstract
BACKGROUND DSM-5 portrays mania as unitary despite evidence of distinct symptom clusters. Studies investigating the structure of mania have been inconsistent, in part because many relied on instruments not designed for this question. The present work used a clinical interview designed for structural analysis in order to identify and validate subdimensions specific to mania symptoms. METHODS Psychiatric outpatients (N=422) and undergraduates with a history of mental health treatment (N=306) were interviewed with a comprehensive measure of mood and anxiety that included 24 manic symptoms. Patients completed additional measures of symptoms and functioning, and a semi-structured diagnostic interview. RESULTS A 4-factor model of mania replicated across independent samples and was superior in fit to competing models, including the unidimensional model implied whenever researchers or clinicians use only a total score for mania. The factors were only moderately correlated, and three of the four ("Irritability" was the exception) showed a strong criterion, convergent and discriminant validity, suggesting they are specific to mania. Subdimensions showed distinct and meaningful associations with functioning. LIMITATIONS Symptoms of psychosis and depression are important features of manic episodes, but were not included in the present study since they lack specificity to mania. CONCLUSIONS Mania is multifaceted. At least three subdimensions specific to mania were identified ("Euphoric Activation," "Hyperactive Cognition" and "Reckless Overconfidence"). Use of subdimensions, in addition to overall mania severity, may enhance the ability of studies to detect meaningful biological correlates of bipolar disorder. Moreover, their different associations with functioning suggest assessing subdimensions has clinical utility as well.
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Affiliation(s)
- Camilo J Ruggero
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX 76203, USA.
| | - Roman Kotov
- Department of Psychiatry and Behavioral Sciences, Stony Brook University, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, USA
| | - Jared N Kilmer
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX 76203, USA
| | - Greg Perlman
- Department of Psychiatry and Behavioral Sciences, Stony Brook University, USA
| | - Keke Liu
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX 76203, USA
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