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Michelini G, Carlisi CO, Eaton NR, Elison JT, Haltigan JD, Kotov R, Krueger RF, Latzman RD, Li JJ, Levin-Aspenson HF, Salum GA, South SC, Stanton K, Waldman ID, Wilson S. Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum. World Psychiatry 2024; 23:333-357. [PMID: 39279404 PMCID: PMC11403200 DOI: 10.1002/wps.21225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/18/2024] Open
Abstract
Features of autism spectrum disorder, attention-deficit/hyperactivity disorder, learning disorders, intellectual disabilities, and communication and motor disorders usually emerge early in life and are associated with atypical neurodevelopment. These "neurodevelopmental conditions" are grouped together in the DSM-5 and ICD-11 to reflect their shared characteristics. Yet, reliance on categorical diagnoses poses significant challenges in both research and clinical settings (e.g., high co-occurrence, arbitrary diagnostic boundaries, high within-disorder heterogeneity). Taking a transdiagnostic dimensional approach provides a useful alternative for addressing these limitations, accounting for shared underpinnings across neurodevelopmental conditions, and characterizing their common co-occurrence and developmental continuity with other psychiatric conditions. Neurodevelopmental features have not been adequately considered in transdiagnostic psychiatric frameworks, although this would have fundamental implications for research and clinical practices. Growing evidence from studies on the structure of neurodevelopmental and other psychiatric conditions indicates that features of neurodevelopmental conditions cluster together, delineating a "neurodevelopmental spectrum" ranging from normative to impairing profiles. Studies on shared genetic underpinnings, overlapping cognitive and neural profiles, and similar developmental course and efficacy of support/treatment strategies indicate the validity of this neurodevelopmental spectrum. Further, characterizing this spectrum alongside other psychiatric dimensions has clinical utility, as it provides a fuller view of an individual's needs and strengths, and greater prognostic utility than diagnostic categories. Based on this compelling body of evidence, we argue that incorporating a new neurodevelopmental spectrum into transdiagnostic frameworks has considerable potential for transforming our understanding, classification, assessment, and clinical practices around neurodevelopmental and other psychiatric conditions.
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Affiliation(s)
- Giorgia Michelini
- Department of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Christina O Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - John D Haltigan
- Department of Psychiatry, Division of Child and Youth Mental Health, University of Toronto, Toronto, ON, Canada
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - James J Li
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Giovanni A Salum
- Child Mind Institute, New York, NY, USA
- Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento para a Infância e Adolescência, São Paulo, Brazil
| | - Susan C South
- Department of Psychological Sciences, College of Health and Human Sciences, Purdue University, West Lafayette, IN, USA
| | - Kasey Stanton
- Department of Psychology, University of Wyoming, Laramie, WY, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sylia Wilson
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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2
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Davis CN, Gizer IR, Agrawal A, Statham DJ, Heath AC, Martin NG, Slutske WS. Genetic and shared environmental factors explain the association between adolescent polysubstance use and high school noncompletion. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2024; 38:114-123. [PMID: 36913302 PMCID: PMC10497723 DOI: 10.1037/adb0000915] [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] [Indexed: 03/14/2023]
Abstract
OBJECTIVE Examine the nature of the relationship between adolescent polysubstance use and high school noncompletion. METHOD Among a sample of 9,579 adult Australian twins (58.63% female, Mage = 30.59), we examined the association between the number of substances used in adolescence and high school noncompletion within a discordant twin design and bivariate twin analysis. RESULTS In individual-level models controlling for parental education, conduct disorder symptoms, childhood major depression, sex, zygosity, and cohort, each additional substance used in adolescence was associated with a 30% increase in the odds of high school noncompletion (OR = 1.30 [1.18, 1.42]). Discordant twin models found that the potentially causal effect of adolescent use on high school noncompletion was nonsignificant (OR = 1.19 [0.96, 1.47]). Follow-up bivariate twin models suggested genetic (35.4%, 95% CI [24.5%, 48.7%]) and shared environmental influences (27.8%, 95% CI [12.7%, 35.1%]) each contributed to the covariation in adolescent polysubstance use and early school dropout. CONCLUSIONS The association between polysubstance use and early school dropout was largely accounted for by genetic and shared environmental factors, with nonsignificant evidence for a potentially causal association. Future research should examine whether underlying shared risk factors reflect a general propensity for addiction, a broader externalizing liability, or a combination of the two. More evidence using finer measurement of substance use is needed to rule out a causal association between adolescent polysubstance use and high school noncompletion. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Christal N. Davis
- University of Missouri, Department of Psychological Sciences, Columbia, MO, 65211, USA
| | - Ian R. Gizer
- University of Missouri, Department of Psychological Sciences, Columbia, MO, 65211, USA
| | - Arpana Agrawal
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, 63110, USA
| | | | - Andrew C. Heath
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, 63110, USA
| | - Nicholas G. Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
| | - Wendy S. Slutske
- University of Wisconsin School of Medicine and Public Health, Center for Tobacco Research and Intervention and Department of Family Medicine and Community Health, Madison, WI, 53711, USA
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3
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Tripp G, Wickens J. Using rodent data to elucidate dopaminergic mechanisms of ADHD: Implications for human personality. PERSONALITY NEUROSCIENCE 2024; 7:e2. [PMID: 38384667 PMCID: PMC10877278 DOI: 10.1017/pen.2023.12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 10/11/2023] [Accepted: 10/22/2023] [Indexed: 02/23/2024]
Abstract
An altered behavioral response to positive reinforcement has been proposed to be a core deficit in attention deficit hyperactivity disorder (ADHD). The spontaneously hypertensive rat (SHR), a congenic animal strain, displays a similarly altered response to reinforcement. The presence of this genetically determined phenotype in a rodent model allows experimental investigation of underlying neural mechanisms. Behaviorally, the SHR displays increased preference for immediate reinforcement, increased sensitivity to individual instances of reinforcement relative to integrated reinforcement history, and a steeper delay of reinforcement gradient compared to other rat strains. The SHR also shows less development of incentive to approach sensory stimuli, or cues, that predict reward after repeated cue-reward pairing. We consider the underlying neural mechanisms for these characteristics. It is well known that midbrain dopamine neurons are initially activated by unexpected reward and gradually transfer their responses to reward-predicting cues. This finding has inspired the dopamine transfer deficit (DTD) hypothesis, which predicts certain behavioral effects that would arise from a deficient transfer of dopamine responses from actual rewards to reward-predicting cues. We argue that the DTD predicts the altered responses to reinforcement seen in the SHR and individuals with ADHD. These altered responses to reinforcement in turn predict core symptoms of ADHD. We also suggest that variations in the degree of dopamine transfer may underlie variations in personality dimensions related to altered reinforcement sensitivity. In doing so, we highlight the value of rodent models to the study of human personality.
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Affiliation(s)
- Gail Tripp
- Human Developmental Neurobiology Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Jeff Wickens
- Neurobiology Research Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
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4
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Jung B, Kim H. The validity of transdiagnostic factors in predicting homotypic and heterotypic continuity of psychopathology symptoms over time. Front Psychiatry 2023; 14:1096572. [PMID: 37275971 PMCID: PMC10235495 DOI: 10.3389/fpsyt.2023.1096572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 05/04/2023] [Indexed: 06/07/2023] Open
Abstract
Studies of the continuity of psychopathology symptoms mainly involved the traditional conceptualization that mental disorders are discrete entities. However, high comorbidity rates suggest a few transdiagnostic factors that underlie individual disorders. Therefore, the present study examined the validity of transdiagnostic factors in predicting homotypic and heterotypic continuity of comorbidity classes across two waves in a nationally representative sample. We conducted a latent transition analysis to investigate how transdiagnostic factors differentially affect the transition probabilities of comorbidity classes across time. Results found a notable predictive validity of transdiagnostic factors: (a) internalizing strongly predicted the stability of the internalizing class and transition from the externalizing class to internalizing class, and (b) externalizing predicted the transition from the internalizing class to externalizing class. The study also found a more dynamic prediction pattern leading to equifinality and multifinality of psychopathology symptoms. The findings suggest that transdiagnostic factors can provide information on how individuals' symptom manifestations change over time, highlighting the potential benefits of incorporating transdiagnostic factors into assessment, treatment, and prevention.
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Affiliation(s)
| | - Hyunsik Kim
- Department of Psychology, Sogang University, Seoul, Republic of Korea
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5
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Dos Santos Afonso Junior A, Machado-Pinheiro W, Osório AAC, Seabra AG, Teixeira MCTV, de Araújo Nascimento J, Carreiro LRR. Association between ADHD symptoms and inhibition-related brain activity using functional near-infrared spectroscopy (fNIRS). Neurosci Lett 2023; 792:136962. [PMID: 36375626 DOI: 10.1016/j.neulet.2022.136962] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/04/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
Abstract
Attention deficit hyperactivity disorder (ADHD) is associated with deficits in inhibitory functions including interference control, inhibition of prepotent/automatic responses and suppression of already initiated responses. This study used functional near-infrared spectroscopy (fNIRS) to investigate the neural basis of these three forms of inhibition assessed by a recently developed behavioral protocol combining the Stroop-matching/stop-signal task in twenty-five young adults with inattention, impulsivity and/or hyperactivity symptoms. The severity of ADHD symptoms was measured using the Adult ADHD Self-Report Scale (ASRS). The concentration of oxygenated hemoglobin (HbO) was assessed in the dorsolateral prefrontal cortex (DLPFC), inferior frontal gyrus (IFG) and temporoparietal regions (TP) during the Stroop-matching/stop-signal task. Correlations yielded significant associations between ASRS scores and HbO concentration in frontal regions during blocks with stop-signal tasks, namely the right IFG, the left DLPFC and the left IFG. This study revealed that different types of inhibition involve unique frontal and temporoparietal activities and linked frontal dysfunction during the suppression of ongoing responses to the severity of ADHD symptoms.
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Affiliation(s)
- Armando Dos Santos Afonso Junior
- Postgraduate Program in Developmental Disorders at Mackenzie Presbyterian University, São Paulo, Brazil; Mackenzie Center for Research in Childhood and Adolescence, São Paulo, Brazil.
| | | | - Ana Alexandra Caldas Osório
- Postgraduate Program in Developmental Disorders at Mackenzie Presbyterian University, São Paulo, Brazil; Mackenzie Center for Research in Childhood and Adolescence, São Paulo, Brazil
| | - Alessandra Gotuzo Seabra
- Postgraduate Program in Developmental Disorders at Mackenzie Presbyterian University, São Paulo, Brazil; Mackenzie Center for Research in Childhood and Adolescence, São Paulo, Brazil
| | - Maria Cristina Triguero Veloz Teixeira
- Postgraduate Program in Developmental Disorders at Mackenzie Presbyterian University, São Paulo, Brazil; Mackenzie Center for Research in Childhood and Adolescence, São Paulo, Brazil
| | | | - Luiz Renato Rodrigues Carreiro
- Postgraduate Program in Developmental Disorders at Mackenzie Presbyterian University, São Paulo, Brazil; Mackenzie Center for Research in Childhood and Adolescence, São Paulo, Brazil
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6
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Astle DE, Holmes J, Kievit R, Gathercole SE. Annual Research Review: The transdiagnostic revolution in neurodevelopmental disorders. J Child Psychol Psychiatry 2022; 63:397-417. [PMID: 34296774 DOI: 10.1111/jcpp.13481] [Citation(s) in RCA: 124] [Impact Index Per Article: 41.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/04/2021] [Indexed: 12/11/2022]
Abstract
Practitioners frequently use diagnostic criteria to identify children with neurodevelopmental disorders and to guide intervention decisions. These criteria also provide the organising framework for much of the research focussing on these disorders. Study design, recruitment, analysis and theory are largely built on the assumption that diagnostic criteria reflect an underlying reality. However, there is growing concern that this assumption may not be a valid and that an alternative transdiagnostic approach may better serve our understanding of this large heterogeneous population of young people. This review draws on important developments over the past decade that have set the stage for much-needed breakthroughs in understanding neurodevelopmental disorders. We evaluate contemporary approaches to study design and recruitment, review the use of data-driven methods to characterise cognition, behaviour and neurobiology, and consider what alternative transdiagnostic models could mean for children and families. This review concludes that an overreliance on ill-fitting diagnostic criteria is impeding progress towards identifying the barriers that children encounter, understanding underpinning mechanisms and finding the best route to supporting them.
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Affiliation(s)
- Duncan E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Joni Holmes
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Rogier Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Susan E Gathercole
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.,Department of Psychiatry, University of Cambridge, Cambridge, UK
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7
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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: 127] [Impact Index Per Article: 42.3] [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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8
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Holmes J, Mareva S, Bennett MP, Black MJ, Guy J. Higher-order dimensions of psychopathology in a neurodevelopmental transdiagnostic sample. JOURNAL OF ABNORMAL PSYCHOLOGY 2021; 130:909-922. [PMID: 34843293 PMCID: PMC8628482 DOI: 10.1037/abn0000710] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 05/13/2021] [Accepted: 07/03/2021] [Indexed: 11/21/2022]
Abstract
Hierarchical dimensional models of psychopathology derived for adult and child community populations offer more informative and efficient methods for assessing and treating symptoms of mental ill health than traditional diagnostic approaches. It is not yet clear how many dimensions should be included in models for youth with neurodevelopmental conditions. The aim of this study was to delineate the hierarchical dimensional structure of psychopathology in a transdiagnostic sample of children and adolescents with learning-related problems, and to test the concurrent predictive value of the model for clinically, socially, and educationally relevant outcomes. A sample of N = 403 participants from the Centre for Attention Learning and Memory (CALM) cohort were included. Hierarchical factor analysis delineated dimensions of psychopathology from ratings on the Conner's Parent Rating Short Form, the Revised Children's Anxiety and Depression Scale, and the Strengths and Difficulties Questionnaire. A hierarchical structure with a general p factor at the apex, broad internalizing and broad externalizing spectra below, and three more specific factors (specific internalizing, social maladjustment, and neurodevelopmental) emerged. The p factor predicted all concurrently measured social, clinical, and educational outcomes, but the other dimensions provided incremental predictive value. The neurodevelopmental dimension, which captured symptoms of inattention, hyperactivity, and executive function and emerged from the higher-order externalizing factor, was the strongest predictor of learning. This suggests that in struggling learners, cognitive and affective behaviors may interact to influence learning outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Joni Holmes
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge
| | - Silvana Mareva
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge
| | - Marc P Bennett
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge
| | - Melissa J Black
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge
| | - Jacalyn Guy
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge
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9
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Hildebrand Karlén M, Stålheim J, Berglund K, Wennberg P. Autistic Personality Traits and Treatment Outcome for Alcohol Use Disorders. J Nerv Ment Dis 2021; 209:665-673. [PMID: 33966015 DOI: 10.1097/nmd.0000000000001357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT The importance of personality traits for the outcome of psychiatric treatment, including treatment for alcohol use disorder (AUD), has been widely acknowledged. Also, research on autism spectrum disorders has evolved in recent years, emphasizing that the behavioral traits within these neuropsychiatric disorders exist on a dimension both within and outside the boundaries of psychopathology. In the present study, the relationship between personality traits associated with autistic functioning and level of alcohol use among patients before and after concluded AUD treatment was investigated. The participants (n = 165, diagnosed with AUD) were part of a longitudinal project on AUD treatment. Data from personality questionnaires (Structured Clinical Interview of Personality Disorders II and Temperament and Character Inventory) were used to assess autistic personality traits (APTs) based on behavior within Wing's triad, which were related to background and treatment outcome. The chosen APT items illustrated a personality functioning with an emphasis on social interaction and rigidity. Only certain included questions were indicative of still having a problematic drinking pattern 2.5 years after treatment entry, which adhered to phobic, obsessive-compulsive, and schizoid personality traits, as well as rigidity/stubbornness. Albeit with modest influence, the degree of APTs was associated with heavier drinking at treatment entry, and symptoms relating to social interaction and rigidity were associated with still having a problematic drinking pattern 2.5 years after treatment entry. A higher degree of such traits may result in having problems taking advice from others and establishing treatment alliance, important parts of treatment efficacy, making assessment of such traits relevant to clinicians.
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Affiliation(s)
| | | | | | - Peter Wennberg
- Department of Public Health Sciences, Stockholm University, Stockholm, Sweden
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10
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Krueger RF, Hobbs KA, Conway CC, Dick DM, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Keyes KM, Latzman RD, Michelini G, Patrick CJ, Sellbom M, Slade T, South S, Sunderland M, Tackett J, Waldman I, Waszczuk MA, Wright AG, Zald DH, Watson D, Kotov R, HiTOP Utility Workgroup. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum. World Psychiatry 2021; 20:171-193. [PMID: 34002506 PMCID: PMC8129870 DOI: 10.1002/wps.20844] [Citation(s) in RCA: 129] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical effort to address limitations of traditional mental disorder diagnoses. These include arbitrary boundaries between disorder and normality, disorder co-occurrence in the modal case, heterogeneity of presentation within dis-orders, and instability of diagnosis within patients. This paper reviews the evidence on the validity and utility of the disinhibited externalizing and antagonistic externalizing spectra of HiTOP, which together constitute a broad externalizing superspectrum. These spectra are composed of elements subsumed within a variety of mental disorders described in recent DSM nosologies, including most notably substance use disorders and "Cluster B" personality disorders. The externalizing superspectrum ranges from normative levels of impulse control and self-assertion, to maladaptive disinhibition and antagonism, to extensive polysubstance involvement and personality psychopathology. A rich literature supports the validity of the externalizing superspectrum, and the disinhibited and antagonistic spectra. This evidence encompasses common genetic influences, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, and treatment response. The structure of these validators mirrors the structure of the phenotypic externalizing superspectrum, with some correlates more specific to disinhibited or antagonistic spectra, and others relevant to the entire externalizing superspectrum, underlining the hierarchical structure of the domain. Compared with traditional diagnostic categories, the externalizing superspectrum conceptualization shows improved utility, reliability, explanatory capacity, and clinical applicability. The externalizing superspectrum is one aspect of the general approach to psychopathology offered by HiTOP and can make diagnostic classification more useful in both research and the clinic.
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Affiliation(s)
| | - Kelsey A. Hobbs
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| | | | - Danielle M. Dick
- Department of PsychologyVirginia Commonwealth UniversityRichmondVAUSA
| | - Michael N. Dretsch
- US Army Medical Research Directorate ‐ WestWalter Reed Army Institute of Research, Joint Base Lewis‐McChordWAUSA
| | | | - Miriam K. Forbes
- Centre for Emotional Health, Department of PsychologyMacquarie UniversitySydneyNSWAustralia
| | | | | | | | - Giorgia Michelini
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCAUSA
| | | | - Martin Sellbom
- Department of PsychologyUniversity of OtagoDunedinNew Zealand
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance UseUniversity of SydneySydneyNSWAustralia
| | - Susan C. South
- Department of Psychological SciencesPurdue UniversityWest LafayetteINUSA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance UseUniversity of SydneySydneyNSWAustralia
| | | | - Irwin Waldman
- Department of PsychologyEmory UniversityAtlantaGAUSA
| | | | | | - David H. Zald
- Department of PsychologyVanderbilt UniversityNashvilleTNUSA
| | - David Watson
- Department of PsychologyUniversity of Notre DameNotre DameINUSA
| | - Roman Kotov
- Department of PsychiatryStony Brook UniversityStony BrookNYUSA
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11
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Stanton K, DeLucia EA, Brown MFD, McDonnell CG. Advancing understanding of the classification of broad autism phenotype and attention-deficit/hyperactivity disorder symptom dimensions within the Hierarchical Taxonomy of Psychopathology. Personal Ment Health 2021; 15:113-123. [PMID: 33225627 DOI: 10.1002/pmh.1498] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 10/29/2020] [Accepted: 11/03/2020] [Indexed: 12/20/2022]
Abstract
Research on personality and psychopathology associations has informed the classification of many symptom dimensions within the Hierarchical Taxonomy of Psychopathology (HiTOP). However, classification of symptom dimensions defining autism and attention-deficit/hyperactivity disorder (ADHD) within the HiTOP framework remains unclear in many ways. To address this issue, we examined the joint factor structure of (a) measures assessing characteristics relevant to ADHD and autism and (b) normal range personality traits in a sample of 547 adults recruited from Amazon Mechanical Turk, many of whom reported elevated autism-relevant and ADHD-relevant characteristics. We also examined how factors identified in these analyses correlated with measures of internalizing symptoms and select externalizing traits. Our results indicated that some measures assessing autism-relevant and ADHD-relevant characteristics (e.g. communication issues, hyperactivity/impulsivity) defined a distinct Attention and Communication Difficulties factor, with scores on this factor correlating strongly with internalizing symptom ratings. However, other relevant characteristics such as aloofness may be indicators of existing HiTOP spectra such as detachment. We discuss how these findings inform classification of autism-relevant and ADHD-relevant characteristics within the HiTOP, as well as key future directions for extending the limited research in this area.
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Affiliation(s)
- Kasey Stanton
- Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.,Department of Psychology, Western University, London, Ontario, Canada
| | - Elizabeth A DeLucia
- Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
| | - Matthew F D Brown
- Department of Psychology, Western University, London, Ontario, Canada
| | - Christina G McDonnell
- Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
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12
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Krueger RF, Kotov R, Watson D, Forbes MK, Eaton NR, Ruggero CJ, Simms LJ, Widiger TA, Achenbach TM, Bach B, Bagby RM, Bornovalova MA, Carpenter WT, Chmielewski M, Cicero DC, Clark LA, Conway C, DeClercq B, DeYoung CG, Docherty AR, Drislane LE, First MB, Forbush KT, Hallquist M, Haltigan JD, Hopwood CJ, Ivanova MY, Jonas KG, Latzman RD, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Ormel J, Patalay P, Patrick CJ, Pincus AL, Regier DA, Reininghaus U, Rescorla LA, Samuel DB, Sellbom M, Shackman AJ, Skodol A, Slade T, South SC, Sunderland M, Tackett JL, Venables NC, Waldman ID, Waszczuk MA, Waugh MH, Wright AG, Zald DH, Zimmermann J. Les progrès dans la réalisation de la classification quantitative de la psychopathologie ☆. ANNALES MEDICO-PSYCHOLOGIQUES 2021; 179:95-106. [PMID: 34305151 PMCID: PMC8309948 DOI: 10.1016/j.amp.2020.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.
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Affiliation(s)
- Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Miriam K. Forbes
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Nicholas R. Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Camilo J. Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Leonard J. Simms
- Department of Psychology, University at Buffalo, State University of New York, New York, NY, USA
| | - Thomas A. Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital, Slagelse, Denmark
| | - R. Michael Bagby
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | | | - David C. Cicero
- Department of Psychology, University of Hawaii, Honolulu, HI, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Christopher Conway
- Department of Psychology, College of William and Mary, Williamsburg, VA, USA
| | - Barbara DeClercq
- Department of Developmental, Personality, and Social Psychology, Ghent University, Ghent, Belgium
| | - Colin G. DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Laura E. Drislane
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Michael B. First
- Department of Psychiatry, Columbia University, New York, NY, USA
| | | | - Michael Hallquist
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - John D. Haltigan
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Masha Y. Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | | | - Robert D. Latzman
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Joshua D. Miller
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Leslie C. Morey
- Department of Psychology, Texas A&M University, College Station, TX, USA
| | | | - Johan Ormel
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Praveetha Patalay
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, United Kingdom
| | | | - Aaron L. Pincus
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - Darrel A. Regier
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Ulrich Reininghaus
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | | | - Douglas B. Samuel
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Andrew Skodol
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Tim Slade
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Susan C. South
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Matthew Sunderland
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | | | - Noah C. Venables
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | | | - Mark H. Waugh
- Oak Ridge National Laboratory, University of Tennessee, Oak Ridge, TN, 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
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DeYoung CG, Chmielewski M, Clark LA, Condon DM, Kotov R, Krueger RF, Lynam DR, Markon KE, Miller JD, Mullins-Sweatt SN, Samuel DB, Sellbom M, South SC, Thomas KM, Watson D, Watts AL, Widiger TA, Wright AGC. The distinction between symptoms and traits in the Hierarchical Taxonomy of Psychopathology (HiTOP). J Pers 2020; 90:20-33. [PMID: 32978977 DOI: 10.1111/jopy.12593] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/10/2020] [Accepted: 09/13/2020] [Indexed: 12/11/2022]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically and quantitatively derived dimensional classification system designed to describe the features of psychopathology and, ultimately, to replace categorical nosologies. Among the constructs that HiTOP organizes are "symptom components" and "maladaptive traits," but past HiTOP publications have not fully explicated the distinction between symptoms and traits. We propose working definitions of symptoms and traits and explore challenges, exceptions, and remaining questions. Specifically, we propose that the only systematic difference between symptoms and traits in HiTOP is one of time frame. Maladaptive traits are dispositional constructs that describe persistent tendencies to manifest features of psychopathology, whereas symptoms are features of psychopathology as they are manifest during any specific time period (from moments to days to months). This has the consequence that almost every HiTOP dimension, at any level of the hierarchy, can be assessed as either a trait or a symptom dimension, by adjusting the framing of the assessment. We discuss the implications of these definitions for causal models of the relations between symptoms and traits and for distinctions between psychopathology, normal personality variation, and dysfunction.
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Affiliation(s)
- Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - David M Condon
- Department of Psychology, University of Oregon, Eugene, OR, USA
| | - Roman Kotov
- Department of Psychiatry and Behavioral Health, State University of New York, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Donald R Lynam
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | | | - Joshua D Miller
- Department of Psychology, University of Georgia, Athens, GA, USA
| | | | - Douglas B Samuel
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Susan C South
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | | | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Ashley L Watts
- Department of Psychology, University of Missouri, Columbia, MO, 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
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14
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Etkin P, Mezquita L, López-Fernández FJ, Ortet G, Ibáñez MI. Five Factor model of personality and structure of psychopathological symptoms in adolescents. PERSONALITY AND INDIVIDUAL DIFFERENCES 2020. [DOI: 10.1016/j.paid.2020.110063] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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15
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Venuleo C, Salvatore G, Ruggieri RA, Marinaci T, Cozzolino M, Salvatore S. Steps Towards a Unified Theory of Psychopathology: The Phase Space of Meaning Model. CLINICAL NEUROPSYCHIATRY 2020; 17:236-252. [PMID: 34908999 PMCID: PMC8629070 DOI: 10.36131/cnfioritieditore20200405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The hypothesis of a general psychopathology factor (p factor) has been advanced in recent years. It is an innovation with breakthrough potential, in the perspective of a unified view of psychopathology; however, what remains a controversial topic is how its nature might be conceptualized. The current paper outlines a semiotic, embodied and psychoanalytic conceptualization of psychopathology - the Phase Space of Meaning (PSM) model - aimed at providing ontological grounds to the p factor hypothesis. Framed within a more general model of how the mind works, the PSM model maintains that the p factor can be conceived as the empirical marker of the degree of rigidity of the meaning-maker's way of interpreting experience, namely of the dimensions of meanings used to map the environment's variability. As to the clinical implications, two main aspects are outlined. First, according PSM model, psychopathology is not an invariant condition, and does not have a set dimensionality, but is able to vary it locally, in order to address the requirement of situated action. Second, psychopathology is conceived as one of the mind's modes of working, rather than the manifestation of its disruption. Finally, the puzzling issue of the interplay between stability and variability in the evolutionary trajectories of patients along with their life events is addressed and discussed.
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Affiliation(s)
- Claudia Venuleo
- Department of History, Society, and Human Studies, University of Salento, Lecce, Italy
| | | | | | - Tiziana Marinaci
- Department of History, Society, and Human Studies, University of Salento, Lecce, Italy
| | - Mauro Cozzolino
- Department of Human, Philosophical and Training Sciences, University of Salerno, Salerno, Italy
| | - Sergio Salvatore
- Department of Dynamic and Clinical Psychology, University La Sapienza, Rome, Italy
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16
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Bailey AJ, Finn PR. Examining the Utility of a General Substance Use Spectrum Using Latent Trait Modeling. Drug Alcohol Depend 2020; 212:107998. [PMID: 32362437 PMCID: PMC7293921 DOI: 10.1016/j.drugalcdep.2020.107998] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Polysubstance use (PSU; lifetime use of multiple substances) is common among individuals with problematic alcohol/substance use and is associated with poor prognosis and poor physical/mental health. Furthermore, simultaneous co-use of substances, such that drug effects overlap, is also common and related to unique risks (e.g. overdose). Despite the importance of PSU, current diagnostic systems continue to conceptualize problems with alcohol/substances as class-specific constructs (e.g. Stimulant Use Disorder), which essentially ignore many unique PSU processes. METHODS The current study modeled problems with alcohol, cannabis, stimulants, sedatives, opiates, and simultaneous co-use of these substances as a manifestation of a general substance use continuum versus as correlated class-specific constructs in a sample of young-adults(n = 2482) using confirmatory factor analysis. Utility of the models was evaluated by examining associations between the general substance use spectrum and class-specific latent factors with measures of anxiety, ADHD, adult antisocial problems, borderline symptoms, neuroticism, and intelligence in a subset of the sample(n=847). RESULTS Findings supported the conceptualization of problems with all substances, including co-use of substances, as being manifestations of a general substance use spectrum, as class-specific constructs were not differentially associated with other measures of psychological dysfunction. Examination of this general substance use spectrum indicated that all substances, separately and co-use, were robustly informative of this spectrum, but tended to discriminate between different severity levels. DISCUSSION The general substance use spectrum allows for integration of information from the use and co-use of all substances to provide better assessment of overall problems with substances compared to class-specific constructs.
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Affiliation(s)
- Allen J Bailey
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, USA; Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA.
| | - Peter R Finn
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, USA; Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA.
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17
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Soe-Agnie SE, Paap MCS, Nijman HLI, De Jong CAJ. Psychometric Properties of the Externalizing Spectrum Inventory: Replication and Extension across Clinical and Non-Clinical Samples. J Pers Assess 2020; 103:332-341. [PMID: 32329635 DOI: 10.1080/00223891.2020.1753752] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The Externalizing Spectrum Inventory aims at assessing personality features that underlie externalizing disorders such as substance abuse and antisocial behaviors. The objective was to replicate the psychometric properties of the 160-item Externalizing Spectrum Inventory in Dutch clinical and non-clinical samples. First, Cronbach's alpha, test-retest reliability and the factor structure were analyzed on a mixed sample of inpatients (n = 149), undergraduates (n = 227), and community participants (n = 178). The factor structure was evaluated through confirmatory and exploratory factor analyses; for the latter Parallel Analysis was used, based on Minimum Rank Factor Analysis. Next, the criterion validity was analyzed using the Aggression Questionnaire and the NEO-Five Factor Inventory as external measures. The Dutch Externalizing Spectrum Inventory subscales showed sufficient reliability (α=.68-.94; ICC=.68-.91), except in the undergraduate sample (α=.49-.96; ICC=.43-.97). The factor structure of the Externalizing Spectrum Inventory was not confirmed and the exploratory analysis yielded different factor solutions across samples. The criterion validity was supported with regard to trait aggression and partly supported with regard to the Five Factor Model. The results suggest that the ESI-160 and its original factor model can be used for prediction purposes. However, further research of the factor structure is strongly recommended.
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Affiliation(s)
- Sabrina E Soe-Agnie
- Behavioural Science Institute (BSI), Faculty of Clinical Psychology, Radboud University, Nijmegen, The Netherlands
| | - Muirne C S Paap
- Nieuwenhuis Institute for Educational Research, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands.,Clinic Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Henk L I Nijman
- Behavioural Science Institute (BSI), Faculty of Clinical Psychology, Radboud University, Nijmegen, The Netherlands.,Forensic psychiatric institute Fivoor, Den Dolder, The Netherlands
| | - Cornelis A J De Jong
- Behavioural Science Institute (BSI), Faculty of Clinical Psychology, Radboud University, Nijmegen, The Netherlands.,Nijmegen Institute for Scientist-Practitioners in Addiction (NISPA), Radboud University, Nijmegen, The Netherlands
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18
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Ruggero CJ, Kotov R, Hopwood CJ, First M, Clark LA, Skodol AE, Mullins-Sweatt SN, Patrick CJ, Bach B, Cicero DC, Docherty A, Simms LJ, Bagby RM, Krueger RF, Callahan JL, Chmielewski M, Conway CC, De Clercq B, Dornbach-Bender A, Eaton NR, Forbes MK, Forbush KT, Haltigan JD, Miller JD, Morey LC, Patalay P, Regier DA, Reininghaus U, Shackman AJ, Waszczuk MA, Watson D, Wright AGC, Zimmermann J. Integrating the Hierarchical Taxonomy of Psychopathology (HiTOP) into clinical practice. J Consult Clin Psychol 2020; 87:1069-1084. [PMID: 31724426 DOI: 10.1037/ccp0000452] [Citation(s) in RCA: 152] [Impact Index Per Article: 30.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE Diagnosis is a cornerstone of clinical practice for mental health care providers, yet traditional diagnostic systems have well-known shortcomings, including inadequate reliability, high comorbidity, and marked within-diagnosis heterogeneity. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a data-driven, hierarchically based alternative to traditional classifications that conceptualizes psychopathology as a set of dimensions organized into increasingly broad, transdiagnostic spectra. Prior work has shown that using a dimensional approach improves reliability and validity, but translating a model like HiTOP into a workable system that is useful for health care providers remains a major challenge. METHOD The present work outlines the HiTOP model and describes the core principles to guide its integration into clinical practice. RESULTS Potential advantages and limitations of the HiTOP model for clinical utility are reviewed, including with respect to case conceptualization and treatment planning. A HiTOP approach to practice is illustrated and contrasted with an approach based on traditional nosology. Common barriers to using HiTOP in real-world health care settings and solutions to these barriers are discussed. CONCLUSIONS HiTOP represents a viable alternative to classifying mental illness that can be integrated into practice today, although research is needed to further establish its utility. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University
| | | | - Michael First
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University
| | | | | | | | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital
| | | | | | - Leonard J Simms
- Department of Psychology, University at Buffalo, The State University of New York
| | - R Michael Bagby
- Departments of Psychology and Psychiatry, University of Toronto
| | | | | | | | | | - Barbara De Clercq
- Department of Developmental, Personality, and Social Psychology, Ghent University
| | | | | | - Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University
| | | | | | | | | | - Praveetha Patalay
- Centre for Longitudinal Studies and MRC Unit for Lifelong Health and Ageing, University College London
| | - Darrel A Regier
- Department of Psychiatry, Center for the Study of Traumatic Stress, Uniformed Services University
| | | | | | | | - David Watson
- Department of Psychology, University of Notre Dame
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Watson D, Clark LA. Personality traits as an organizing framework for personality pathology. Personal Ment Health 2020; 14:51-75. [PMID: 31309725 PMCID: PMC6960378 DOI: 10.1002/pmh.1458] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 05/23/2019] [Accepted: 05/28/2019] [Indexed: 12/12/2022]
Abstract
We review evidence establishing important parallels between the general structure of psychopathology, the more specific structure of personality pathology and the structure of normal-range personality. We then present data to explicate the nature of associations between the alternative model of personality disorder (AMPD)-as operationalized by the Personality Inventory for DSM-5-and the domains and facets subsumed within the five-factor model of personality. Our data demonstrate substantial links between four of the five domains within these models but also indicate that the AMPD could be realigned to enhance its convergence with the five-factor model of personality. Based on our data, we tentatively propose an expanded four-facet model of AMPD Negative Affectivity (Anxiousness, Depressivity, Hostility and Emotional Lability); an alternative bipolar scheme for Detachment that includes two positively keyed (Withdrawal and Anhedonia) and two negatively keyed (Risk Taking and Attention Seeking) facets; a broader five-facet model of Antagonism (Deceitfulness, Manipulativeness, Callousness, Grandiosity and Suspiciousness); and a reduced two-facet model of Disinhibition (Irresponsibility and Impulsivity). These alternative scores generally showed superior convergent and discriminant validity when compared with current measures of the AMPD domains but also raise other issues. Our findings highlight the strong overlap between normal and pathological personality and clarify the nature of the associations between them. © 2019 John Wiley & Sons, Ltd.
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Affiliation(s)
- David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
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20
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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: 26] [Impact Index Per Article: 5.2] [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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21
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Bailey AJ, Farmer EJ, Finn PR. Patterns of polysubstance use and simultaneous co-use in high risk young adults. Drug Alcohol Depend 2019; 205:107656. [PMID: 31706247 PMCID: PMC6901131 DOI: 10.1016/j.drugalcdep.2019.107656] [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] [Received: 08/01/2019] [Revised: 09/12/2019] [Accepted: 09/13/2019] [Indexed: 11/27/2022]
Abstract
BACKGROUND Polysubstance use (PSU) is associated with worse prognosis and poorer physical and mental health compared to single substance use. The current study provides information about PSU patterns by examining a diverse range of alcohol/substance use behaviors ranging from low-level experimentation to indicators of severe abuse. In addition, the current study, for the first time, examines how simultaneous co-use of multiple substances cluster with other more commonly studied PSU behaviors. METHODS Latent Class Analysis was used to identify patterns of substance use, in a sample of young-adults (n = 2098), using 25 items from the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA-II) including: items assessing severity of problems with alcohol, cannabis, stimulants, opiates, and sedatives; items assessing # of lifetime uses; items assessing simultaneous co-use of all combinations of substances. Then the association of class membership and age, antisocial and impulsive personality, experience seeking, anxiety, and neuroticism was examined using Multinomial Regression. RESULTS Fit indices (i.e. AIC, SSABIC, and entropy) and interpretability of classes supported a five-class solution: "Low Problems" (32% of sample), "Alcohol Primary" (11%), "Alcohol and Cannabis" (25%), "Moderate PSU" (23%), and "Severe PSU" (9%). Simultaneous co-use behaviors discriminated between lower and higher severity groups. Externalizing personality constructs robustly predicted membership in the "Moderate" and "Severe" PSU classes compared to the "Alcohol Primary" class. CONCLUSIONS PSU patterns followed an additive pattern of use with lower severity classes using alcohol/cannabis and more severe classes using other illicit substances in addition. Co-use items provided valuable information about PSU severity.
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Affiliation(s)
- Allen J Bailey
- Department of Psychological and Brain Sciences, Indiana University-Bloomington, 1101 East 10th Street, Bloomington, IN 47405, USA.
| | - Eli J Farmer
- Department of Psychological and Brain Sciences, Indiana University-Bloomington, 1101 East 10th Street, Bloomington, IN 47405, USA.
| | - Peter R Finn
- Department of Psychological and Brain Sciences, Indiana University-Bloomington, 1101 East 10th Street, Bloomington, IN 47405, USA.
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22
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Delineating and validating higher-order dimensions of psychopathology in the Adolescent Brain Cognitive Development (ABCD) study. Transl Psychiatry 2019; 9:261. [PMID: 31624235 PMCID: PMC6797772 DOI: 10.1038/s41398-019-0593-4] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 09/09/2019] [Accepted: 09/24/2019] [Indexed: 01/03/2023] Open
Abstract
Hierarchical dimensional systems of psychopathology promise more informative descriptions for understanding risk and predicting outcome than traditional diagnostic systems, but it is unclear how many major dimensions they should include. We delineated the hierarchy of childhood and adult psychopathology and validated it against clinically relevant measures. Participants were 9987 9- and 10-year-old children and their parents from the Adolescent Brain Cognitive Development (ABCD) study. Factor analyses of items from the Child Behavior Checklist and Adult Self-Report were run to delineate hierarchies of dimensions. We examined the familial aggregation of the psychopathology dimensions, and the ability of different factor solutions to account for risk factors, real-world functioning, cognitive functioning, and physical and mental health service utilization. A hierarchical structure with a general psychopathology ('p') factor at the apex and five specific factors (internalizing, somatoform, detachment, neurodevelopmental, and externalizing) emerged in children. Five similar dimensions emerged also in the parents. Child and parent p-factors correlated highly (r = 0.61, p < 0.001), and smaller but significant correlations emerged for convergent dimensions between parents and children after controlling for p-factors (r = 0.09-0.21, p < 0.001). A model with child p-factor alone explained mental health service utilization (R2 = 0.23, p < 0.001), but up to five dimensions provided incremental validity to account for developmental risk and current functioning in children (R2 = 0.03-0.19, p < 0.001). In this first investigation comprehensively mapping the psychopathology hierarchy in children and adults, we delineated a hierarchy of higher-order dimensions associated with a range of clinically relevant validators. These findings hold important implications for psychiatric nosology and future research in this sample.
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Kaye S, Ramos-Quiroga JA, van de Glind G, Levin FR, Faraone SV, Allsop S, Degenhardt L, Moggi F, Barta C, Konstenius M, Franck J, Skutle A, Bu ET, Koeter MWJ, Demetrovics Z, Kapitány-Fövény M, Schoevers RA, van Emmerik-van Oortmerssen K, Carpentier PJ, Dom G, Verspreet S, Crunelle CL, Young JT, Carruthers S, Cassar J, Fatséas M, Auriacombe M, Johnson B, Dunn M, Slobodin O, van den Brink W. Persistence and Subtype Stability of ADHD Among Substance Use Disorder Treatment Seekers. J Atten Disord 2019; 23:1438-1453. [PMID: 26922805 PMCID: PMC5002258 DOI: 10.1177/1087054716629217] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective: To examine ADHD symptom persistence and subtype stability among substance use disorder (SUD) treatment seekers. Method: In all, 1,276 adult SUD treatment seekers were assessed for childhood and adult ADHD using Conners' Adult ADHD Diagnostic Interview for Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; CAADID). A total of 290 (22.7%) participants met CAADID criteria for childhood ADHD and comprise the current study sample. Results: Childhood ADHD persisted into adulthood in 72.8% (n = 211) of cases. ADHD persistence was significantly associated with a family history of ADHD, and the presence of conduct disorder and antisocial personality disorder. The combined subtype was the most stable into adulthood (78.6%) and this stability was significantly associated with conduct disorder and past treatment of ADHD. Conclusion: ADHD is highly prevalent and persistent among SUD treatment seekers and is associated with the more severe phenotype that is also less likely to remit. Routine screening and follow-up assessment for ADHD is indicated to enhance treatment management and outcomes.
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Affiliation(s)
| | | | - Geurt van de Glind
- ICASA Foundation, Amsterdam, The Netherlands,University of Amsterdam, Amsterdam, The Netherlands
| | | | | | | | - Louisa Degenhardt
- University of New South Wales, Sydney, Australia,University of Melbourne, Australia
| | - Franz Moggi
- University of Bern, Switzerland,University of Fribourg, Switzerland
| | | | | | | | | | | | | | | | - Máté Kapitány-Fövény
- Eötvös Loránd University, Budapest, Hungary,Nyírő Gyula Hospital Drug Outpatient and Prevention Center, Budapest, Hungary
| | | | | | | | - Geert Dom
- University of Antwerp, Belgium,Psychiatric Center Alexian Brothers, Boechout, Belgium
| | - Sofie Verspreet
- University of Antwerp, Belgium,Psychiatric Center Alexian Brothers, Boechout, Belgium
| | | | - Jesse T. Young
- Curtin University, Perth, Australia,University of Melbourne, Australia,The University of Western Australia, Perth, Australia
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24
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Wendt LP, Wright AGC, Pilkonis PA, Nolte T, Fonagy P, Montague PR, Benecke C, Krieger T, Zimmermann J. The latent structure of interpersonal problems: Validity of dimensional, categorical, and hybrid models. JOURNAL OF ABNORMAL PSYCHOLOGY 2019; 128:823-839. [PMID: 31556632 PMCID: PMC6816327 DOI: 10.1037/abn0000460] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Interpersonal problems are key transdiagnostic constructs in psychopathology. In the past, investigators have neglected the importance of operationalizing interpersonal problems according to their latent structure by using divergent representations of the construct: (a) computing scores for severity, agency, and communion (“dimensional approach”), (b) classifying persons into subgroups with respect to their interpersonal profile (“categorical approach”). This hinders cumulative research on interpersonal problems, because findings cannot be integrated both from a conceptual and a statistical point of view. We provide a comprehensive evaluation of interpersonal problems by enlisting several large samples (Ns = 5,400, 491, 656, and 712) to estimate a set of latent variable candidate models, covering the spectrum of purely dimensional (i.e., confirmatory factor analysis using Gaussian and nonnormal latent t-distributions), hybrid (i.e., semiparametric factor analysis), and purely categorical approaches (latent class analysis). Statistical models were compared with regard to their structural validity, as evaluated by model fit (corrected Akaike’s information criterion and the Bayesian information criterion), and their concurrent validity, as defined by the models’ ability to predict relevant external variables. Across samples, the fully dimensional model performed best in terms of model fit, prediction, robustness, and parsimony. We found scant evidence that categorical and hybrid models provide incremental value for understanding interpersonal problems. Our results indicate that the latent structure of interpersonal problems is best represented by continuous dimensions, especially when one allows for nonnormal latent distributions. This study suggests that interpersonal problems are best characterized by continuous differences in severity and interpersonal style (i.e., agency and communion), and not by “types” of people.
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Affiliation(s)
| | | | - Paul A Pilkonis
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Tobias Nolte
- Anna Freud National Centre for Children and Families
| | - Peter Fonagy
- Anna Freud National Centre for Children and Families
| | - P Read Montague
- Research Department of Clinical, Educational, and Health Psychology, University College London
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25
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Kamradt JM, Nikolas MA, Burns GL, Garner AA, Jarrett MA, Luebbe AM, Becker SP. Barkley Deficits in Executive Functioning Scale (BDEFS): Validation in a Large Multisite College Sample. Assessment 2019; 28:964-976. [PMID: 31431045 DOI: 10.1177/1073191119869823] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Despite the importance of daily life executive functioning (EF) for college students' success, few measures exist that have been validated in college students specifically. This study examined the factor structure of the Barkley Deficits in Executive Functioning Scale (BDEFS) in college students. Participants were 1,311 students (ages 18-28 years, 65% female) from five universities in the United States. Additionally, the study examined invariance across sex, age, and attention-deficit/hyperactivity disorder symptoms. Exploratory structural equation modeling provided strong support for the BDEFS five-factor structure though some items had high cross-loadings on multiple factors. Findings generally supported invariance across sex and age; however, loadings, thresholds, and factor means differed based on attention-deficit/hyperactivity disorder symptoms. Stronger support for invariance across sex emerged for a reduced item version that eliminated cross-loading items. Overall, findings provide support for the validity and utility of the BDEFS in college students.
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Affiliation(s)
| | | | | | | | | | | | - Stephen P Becker
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,University of Cincinnati, Cincinnati, OH, USA
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26
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Becker SP, Willcutt EG. Advancing the study of sluggish cognitive tempo via DSM, RDoC, and hierarchical models of psychopathology. Eur Child Adolesc Psychiatry 2019; 28:603-613. [PMID: 29524018 PMCID: PMC6131087 DOI: 10.1007/s00787-018-1136-x] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 02/23/2018] [Indexed: 02/06/2023]
Abstract
Sluggish cognitive tempo (SCT) is separable from attention-deficit/hyperactivity disorder (ADHD) and other psychopathologies, and growing evidence demonstrates SCT to be associated with impairment in both children and adults. However, it remains unclear how SCT should optimally be conceptualized. In this article, we argue that multiple models of psychopathology should be leveraged to make substantive advances to our understanding of SCT. Both categorical and dimensional approaches should be used, including the Diagnostic and Statistical Manual of Mental Disorders (DSM) nosology, the Research Domain Criteria (RDoC) initiative, and hierarchical models of psychopathology. Studies are needed to determine whether individuals categorized with SCT can be reliably identified and differentiated from individuals without SCT in pathophysiological, neuropsychological, behavioral, and daily life functioning. Studies are also needed to evaluate the validity and utility of SCT as a transdiagnostic and dimensional construct. In considering SCT as a dimensional and potentially transdiagnostic construct, we describe ways in which SCT might be examined within the RDoC framework, including negative valence systems, cognitive systems, and arousal/regulatory systems, as well as within hierarchical models of psychopathology. Conceptualizing SCT within both categorical and dimensional models of psychopathology will help to better understand the causes, developmental pathways, and clinical implications of SCT, both as a construct in its own right and also in relation to other psychopathologies.
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Affiliation(s)
- Stephen P Becker
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, USA.
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue MLC 10006, Cincinnati, OH, 45229, USA.
| | - Erik G Willcutt
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, USA
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27
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Baker JH, Higgins Neyland MK, Thornton LM, Runfola CD, Larsson H, Lichtenstein P, Bulik C. Body dissatisfaction in adolescent boys. Dev Psychol 2019; 55:1566-1578. [PMID: 30985163 DOI: 10.1037/dev0000724] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Body dissatisfaction is a significant mental health symptom present in adolescent girls and boys. However, it is often either disregarded in adolescent boys or examined using assessments that may not resonate with males. The present study addresses these issues, examining the manifestation, etiology, and correlates of 3 facets of body dissatisfaction in adolescent boys. Adolescent male twins aged 16- to 17-years-old from the Swedish Twin Study of Child and Adolescent Development were included along with a female comparison group: 915 monozygotic and 671 dizygotic same-sex twins. Body dissatisfaction was defined using measures of height dissatisfaction, muscle dissatisfaction, and the body dissatisfaction subscale of the Eating Disorder Inventory (EDI-BD). We examined the prevalence of body dissatisfaction, whether the facets of body dissatisfaction were phenotypically and etiologically distinct, and associations with specific externalizing and internalizing symptoms. For boys, muscle dissatisfaction scores were greater than height dissatisfaction scores. Results also indicated that height and muscle dissatisfaction were phenotypically and etiologically distinct from the EDI-BD. Unique associations were observed with externalizing and internalizing symptoms: muscle dissatisfaction with symptoms of bulimia nervosa and the EDI-BD with internalizing symptoms, body mass index, and drive for thinness. The facets of body dissatisfaction were also largely distinct in girls and unique between-sex associations with externalizing and internalizing symptoms emerged. Overall, male-oriented aspects of body dissatisfaction are distinct from female-oriented aspects of body dissatisfaction. To capture the full picture of male body dissatisfaction, multiple facets must be addressed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
| | - Cynthia Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
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28
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Hilger K, Fiebach CJ. ADHD symptoms are associated with the modular structure of intrinsic brain networks in a representative sample of healthy adults. Netw Neurosci 2019; 3:567-588. [PMID: 31089485 PMCID: PMC6497005 DOI: 10.1162/netn_a_00083] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 03/06/2019] [Indexed: 12/13/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders with significant and often lifelong effects on social, emotional, and cognitive functioning. Influential neurocognitive models of ADHD link behavioral symptoms to altered connections between and within functional brain networks. Here, we investigate whether network-based theories of ADHD can be generalized to understanding variations in ADHD-related behaviors within the normal (i.e., clinically unaffected) adult population. In a large and representative sample, self-rated presence of ADHD symptoms varied widely; only 8 out of 291 participants scored in the clinical range. Subject-specific brain network graphs were modeled from functional MRI resting-state data and revealed significant associations between (nonclinical) ADHD symptoms and region-specific profiles of between-module and within-module connectivity. Effects were located in brain regions associated with multiple neuronal systems including the default-mode network, the salience network, and the central executive system. Our results are consistent with network perspectives of ADHD and provide further evidence for the relevance of an appropriate information transfer between task-negative (default-mode) and task-positive brain regions. More generally, our findings support a dimensional conceptualization of ADHD and contribute to a growing understanding of cognition as an emerging property of functional brain networks.
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Affiliation(s)
- Kirsten Hilger
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
- IDeA Center for Individual Development and Adaptive Education, Frankfurt am Main, Germany
| | - Christian J. Fiebach
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
- IDeA Center for Individual Development and Adaptive Education, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University Frankfurt, Frankfurt am Main, Germany
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29
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Affiliation(s)
- Colin G. DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
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30
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Rabinowitz JA, Musci RJ, Milam AJ, Benke K, Uhl GR, Sisto DY, Ialongo NS, Maher BS. The interplay between externalizing disorders polygenic risk scores and contextual factors on the development of marijuana use disorders. Drug Alcohol Depend 2018; 191:365-373. [PMID: 30195949 PMCID: PMC8005265 DOI: 10.1016/j.drugalcdep.2018.07.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Revised: 07/13/2018] [Accepted: 07/18/2018] [Indexed: 12/28/2022]
Abstract
Externalizing disorders have been extensively linked to substance use problems. However, less is known about whether genetic factors underpinning externalizing disorders and environmental features interact to predict substance use disorders (i.e., marijuana abuse and dependence) among urban African Americans. We examined whether polygenic risk scores (PRS) for conduct disorder (CD) and attention-deficit hyperactivity disorder (ADHD) interacted with contextual factors (i.e., parental monitoring, community disadvantage) to influence risk for marijuana use disorders in a sample of African American youth. Participants (N=1,050; 44.2% male) were initially recruited for an elementary school-based universal prevention trial in a Mid-Atlantic city and followed through age 20. Participants reported on their parental monitoring in sixth grade and whether they were diagnosed with marijuana abuse or dependence at age 20. Blood or saliva samples were genotyped using the Affymetrix 6.0 microarrays. The CD and ADHD PRS were created based on genome-wide association studies conducted by Dick et al. (2010) and Demontis et al. (2017), respectively. Community disadvantage was calculated based on census data when participants were in sixth grade. There was an interaction between the CD PRS and community disadvantage such that a higher CD PRS was associated with greater risk for a marijuana use disorder at higher levels of neighborhood disadvantage. This finding should be interpreted with caution owing to the number of significance tests performed. Implications for etiological models and future research directions are presented.
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Affiliation(s)
- Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States.
| | - Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - Adam J Milam
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - George R Uhl
- New Mexico VA Healthcare System, 1501 San Pedro Drive, SE, Albuquerque, NM, 87108 United States
| | - Danielle Y Sisto
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - Nicholas S Ialongo
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
| | - Brion S Maher
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD 21205, United States
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31
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Krueger RF, Kotov R, Watson D, Forbes MK, Eaton NR, Ruggero CJ, Simms LJ, Widiger TA, Achenbach TM, Bach B, Bagby RM, Bornovalova MA, Carpenter WT, Chmielewski M, Cicero DC, Clark LA, Conway C, DeClercq B, DeYoung CG, Docherty AR, Drislane LE, First MB, Forbush KT, Hallquist M, Haltigan JD, Hopwood CJ, Ivanova MY, Jonas KG, Latzman RD, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Ormel J, Patalay P, Patrick CJ, Pincus AL, Regier DA, Reininghaus U, Rescorla LA, Samuel DB, Sellbom M, Shackman AJ, Skodol A, Slade T, South SC, Sunderland M, Tackett JL, Venables NC, Waldman ID, Waszczuk MA, Waugh MH, Wright AGC, Zald DH, Zimmermann J. Progress in achieving quantitative classification of psychopathology. World Psychiatry 2018; 17:282-293. [PMID: 30229571 PMCID: PMC6172695 DOI: 10.1002/wps.20566] [Citation(s) in RCA: 269] [Impact Index Per Article: 38.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 06/13/2018] [Accepted: 06/13/2018] [Indexed: 12/13/2022] Open
Abstract
Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.
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Affiliation(s)
- Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Miriam K Forbes
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Camilo J Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Leonard J Simms
- Department of Psychology, University at Buffalo, State University of New York, New York, NY, USA
| | - Thomas A Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital, Slagelse, Denmark
| | - R Michael Bagby
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | | | - David C Cicero
- Department of Psychology, University of Hawaii, Honolulu, HI, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Christopher Conway
- Department of Psychology, College of William and Mary, Williamsburg, VA, USA
| | - Barbara DeClercq
- Department of Developmental, Personality, and Social Psychology, Ghent University, Ghent, Belgium
| | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Anna R Docherty
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Laura E Drislane
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Michael B First
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | - Michael Hallquist
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - John D Haltigan
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Masha Y Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Katherine G Jonas
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Joshua D Miller
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Leslie C Morey
- Department of Psychology, Texas A&M University, College Station, TX, USA
| | | | - Johan Ormel
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Praveetha Patalay
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK
| | | | - Aaron L Pincus
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - Darrel A Regier
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Ulrich Reininghaus
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | | | - Douglas B Samuel
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Andrew Skodol
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Tim Slade
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Susan C South
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Matthew Sunderland
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | | | - Noah C Venables
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Mark H Waugh
- Oak Ridge National Laboratory, University of Tennessee, Oak Ridge, TN, 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
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32
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Zimmerman M, Morgan TA, Stanton K. The severity of psychiatric disorders. World Psychiatry 2018; 17:258-275. [PMID: 30192110 PMCID: PMC6127765 DOI: 10.1002/wps.20569] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 06/13/2018] [Accepted: 06/13/2018] [Indexed: 12/19/2022] Open
Abstract
The issue of the severity of psychiatric disorders has great clinical importance. For example, severity influences decisions about level of care, and affects decisions to seek government assistance due to psychiatric disability. Controversy exists as to the efficacy of antidepressants across the spectrum of depression severity, and whether patients with severe depression should be preferentially treated with medication rather than psychotherapy. Measures of severity are used to evaluate outcome in treatment studies and may be used as meaningful endpoints in clinical practice. But, what does it mean to say that someone has a severe illness? Does severity refer to the number of symptoms a patient is experiencing? To the intensity of the symptoms? To symptom frequency or persistence? To the impact of symptoms on functioning or on quality of life? To the likelihood of the illness resulting in permanent disability or death? Putting aside the issue of how severity should be operationalized, another consideration is whether severity should be conceptualized similarly for all illnesses or be disorder specific. In this paper, we examine how severity is characterized in research and contemporary psychiatric diagnostic systems, with a special focus on depression and personality disorders. Our review shows that the DSM-5 has defined the severity of various disorders in different ways, and that researchers have adopted a myriad of ways of defining severity for both depression and personality disorders, although the severity of the former was predominantly defined according to scores on symptom rating scales, whereas the severity of the latter was often linked with impairments in functioning. Because the functional impact of symptom-defined disorders depends on factors extrinsic to those disorders, such as self-efficacy, resilience, coping ability, social support, cultural and social expectations, as well as the responsibilities related to one's primary role function and the availability of others to assume those responsibilities, we argue that the severity of such disorders should be defined independently from functional impairment.
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Affiliation(s)
- Mark Zimmerman
- Department of Psychiatry and Human BehaviorBrown University School of Medicine, Rhode Island HospitalProvidenceRIUSA
| | - Theresa A. Morgan
- Department of Psychiatry and Human BehaviorBrown University School of Medicine, Rhode Island HospitalProvidenceRIUSA
| | - Kasey Stanton
- Department of Psychiatry and Human BehaviorBrown University School of Medicine, Rhode Island HospitalProvidenceRIUSA
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33
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Meier SM, Pavlova B, Dalsgaard S, Nordentoft M, Mors O, Mortensen PB, Uher R. Attention-deficit hyperactivity disorder and anxiety disorders as precursors of bipolar disorder onset in adulthood. Br J Psychiatry 2018; 213:555-560. [PMID: 29925436 DOI: 10.1192/bjp.2018.111] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Attention-deficit hyperactivity disorder (ADHD) and anxiety disorders have been proposed as precursors of bipolar disorder, but their joint and relative roles in the development of bipolar disorder are unknown.AimsTo test the prospective relationship of ADHD and anxiety with onset of bipolar disorder. METHOD We examined the relationship between ADHD, anxiety disorders and bipolar disorder in a birth cohort of 2 409 236 individuals born in Denmark between 1955 and 1991. Individuals were followed from their sixteenth birthday or from January 1995 to their first clinical contact for bipolar disorder or until December 2012. We calculated incidence rates per 10 000 person-years and tested the effects of prior diagnoses on the risk of bipolar disorder in survival models. RESULTS Over 37 394 865 person-years follow-up, 9250 onsets of bipolar disorder occurred. The incidence rate of bipolar disorder was 2.17 (95% CI 2.12-2.19) in individuals with no prior diagnosis of ADHD or anxiety, 23.86 (95% CI 19.98-27.75) in individuals with a prior diagnosis of ADHD only, 26.05 (95% CI 24.47-27.62) in individuals with a prior diagnosis of anxiety only and 66.16 (95% CI 44.83-87.47) in those with prior diagnoses of both ADHD and anxiety. The combination of ADHD and anxiety increased the risk of bipolar disorder 30-fold (95% CI 21.66-41.40) compared with those with no prior ADHD or anxiety. CONCLUSIONS Early manifestations of both internalising and externalising psychopathology indicate liability to bipolar disorder. The combination of ADHD and anxiety is associated with a very high risk of bipolar disorder.Declaration of interestNone.
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Affiliation(s)
- Sandra M Meier
- Postdoctoral Fellow, Child and Adolescent Mental Health Centre-Mental Health Services Capital Region,Copenhagen Region,Psychosis Research Unit,Aarhus University HospitalandThe Lundbeck Foundation Initiative for Integrative Psychiatric Research,iPSYCH,Denmark
| | - Barbara Pavlova
- Assistant Professor,Department of Psychiatry,Dalhousie University and Nova Scotia Health Authority,Canada
| | - Søren Dalsgaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research,iPSYCH,National Centre for Register-Based Research, NCRR,Aarhus University,DenmarkandDepartment for Child and Adolescent Psychiatry,Hospital of Telemark,Norway
| | - Merete Nordentoft
- Professor, The Lundbeck Foundation Initiative for Integrative Psychiatric Research,iPSYCH, and Copenhagen University Hospital, Mental Health Center Copenhagen,Denmark
| | - Ole Mors
- Professor, Psychosis Research Unit,Aarhus University Hospital andThe Lundbeck Foundation Initiative for Integrative Psychiatric Research,iPSYCH,Denmark
| | - Preben B Mortensen
- Professor, The Lundbeck Foundation Initiative for Integrative Psychiatric Research,iPSYCH,National Centre for Register-Based Research, NCRR,Aarhus UniversityandCIRRAU - Centre for Integrated Register-based Research,Aarhus University
| | - Rudolf Uher
- Professor, Department of Psychiatry,Dalhousie University and Senior Researcher, Nova Scotia Health Authority,Canada
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Flores-Mendoza C, Escorial S, Herrero O, Colom R. The Dissociation between Adult Intelligence and Personality with Respect to Maltreatment Episodes and Externalizing Behaviors Occurring in Childhood. J Intell 2018; 6:E31. [PMID: 31162458 PMCID: PMC6480752 DOI: 10.3390/jintelligence6030031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 07/02/2018] [Accepted: 07/05/2018] [Indexed: 11/16/2022] Open
Abstract
Here we analyze the simultaneous relationships among five variables. Two refer to childhood (episodes of various forms of maltreatment and externalizing behaviors), whereas three refer to early adulthood (intelligence, personality, and socialization difficulties). The 120 individuals considered for the present report were invited from the 650 schoolchildren participating in the Longitudinal Study of Intelligence and Personality (Minas Gerais, Brazil). The complete sample was recruited in 2002 (T1; mean age = 10.0; standard deviation (SD) = 2.2) and 120 were tested again in 2014-17 (T2; mean age = 23.5; SD = 2.2). Externalizing behaviors were registered at T1, whereas the remaining variables were obtained at T2. These were the main results: (1) externalizing behaviors predict future social effectiveness (as estimated by the general factor of personality derived from the NEO Personality Inventory-Revised (NEO-PI-R) and socialization difficulties computed from the socialization scale (SOC)) and future intelligence performance (as assessed by a set of fluid and crystallized tests); (2) episodes of self-reported childhood maltreatment predict social effectiveness, but not intelligence; (3) maltreatment and externalizing behaviors are unrelated; and (4) social effectiveness (personality) and intelligence are unrelated. Therefore, the findings support the dissociation between adult intelligence and personality with respect to maltreatment episodes and externalizing behaviors occurring in childhood. Implications of these findings for social policies aimed at preventing adult socially ineffective personalities are underscored.
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Affiliation(s)
- Carmen Flores-Mendoza
- Department of Psychology-Laboratory of the Individual Differences Assessment, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627-Pampulha, Belo Horizonte 31270-901, Minas Gerais, Brazil.
| | - Sergio Escorial
- Department of Methodology, Faculty of Psychology, Universidad Complutense, Av. Séneca, 2, 28040 Madrid, Spain.
| | - Oscar Herrero
- Penintentiary Center of Cáceres, Arroyo Valhondo, 1, 10004 Cáceres, Spain.
| | - Roberto Colom
- Department of Biological Psychology and Health, Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain.
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Castagna PJ, Roye S, Calamia M. The Compensatory ADHD Behaviors Scale (CABS): Development and Initial Validation. Assessment 2018; 26:783-798. [PMID: 29754497 DOI: 10.1177/1073191118774841] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Several measures are available that assess inattention, hyperactivity/impulsivity, and executive functioning deficits. Treatments for adults with attention-deficit/hyperactivity disorder (ADHD) and skill-based academic interventions focus on improving compensatory strategies to ameliorate functional impairment; however, no measure exists that examines the compensatory behaviors adults utilize to compensate for the functional deficits associated with inattention and hyperactivity/impulsivity. The current study aimed to determine the psychometric properties of the Compensatory ADHD Behaviors Scale (CABS). Five-hundred participants (Mage = 36.83, SD = 11.57) completed measures of ADHD symptomatology, executive functioning, functional impairment, mood disorder symptoms, and the CABS. Analyses revealed that scales assessing both use and effectiveness of compensatory behaviors subscales had similar factor structures, reflecting present- and future-oriented behaviors. The present-, but not future-oriented, behaviors significantly related to ADHD symptomatology, executive dysfunction, and functional impairment; effectiveness of present-oriented compensatory behaviors demonstrated incremental validity in predicting impairment. Compensatory strategies may be a useful variable to measure when examining functional impairment associated with inattention and hyperactivity/impulsivity. The current study provides preliminary evidence of the ability of CABS to validly measure various strategies associated with (clinical and subclinical) ADHD symptomatology, executive functioning, and overall impairment.
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Affiliation(s)
| | - Scott Roye
- 1 Louisiana State University, Baton Rouge, LA, USA
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Kotov R, Foti D, Li K, Bromet EJ, Hajcak G, Ruggero CJ. Validating dimensions of psychosis symptomatology: Neural correlates and 20-year outcomes. JOURNAL OF ABNORMAL PSYCHOLOGY 2018; 125:1103-1119. [PMID: 27819471 DOI: 10.1037/abn0000188] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Heterogeneity of psychosis presents significant challenges for classification. Between 2 and 12 symptom dimensions have been proposed, and consensus is lacking. The present study sought to identify uniquely informative models by comparing the validity of these alternatives. An epidemiologic cohort of 628 first-admission inpatients with psychosis was interviewed 6 times over 2 decades and completed an electrophysiological assessment of error processing at year 20. We first analyzed a comprehensive set of 49 symptoms rated by interviewers at baseline, progressively extracting from 1 to 12 factors. Next, we compared the ability of resulting factor solutions to (a) account for concurrent neural dysfunction and (b) predict 20-year role, social, residential, and global functioning, and life satisfaction. A four-factor model showed incremental validity with all outcomes, and more complex models did not improve explanatory power. The 4 dimensions-reality distortion, disorganization, inexpressivity, and apathy/asociality-were replicable in 5 follow-ups, internally consistent, stable across assessments, and showed strong discriminant validity. These results reaffirm the value of separating disorganization and reality distortion, are consistent with recent findings distinguishing inexpressivity and apathy/asociality, and suggest that these 4 dimensions are fundamental to understanding neural abnormalities and long-term outcomes in psychosis. (PsycINFO Database Record
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Affiliation(s)
- Roman Kotov
- Department of Psychiatry, Stony Brook University
| | - Dan Foti
- Department of Psychology, Purdue University
| | - Kaiqiao Li
- Department of Psychology, Stony Brook University
| | | | - Greg Hajcak
- Department of Psychology, Stony Brook University
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Eaton NR. Advances in transdiagnostic psychopathology research: Introduction to the special issue. Compr Psychiatry 2017; 79:1-3. [PMID: 28943035 DOI: 10.1016/j.comppsych.2017.09.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
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Mental disorder comorbidity and treatment utilization. Compr Psychiatry 2017; 79:89-97. [PMID: 28215792 PMCID: PMC5550376 DOI: 10.1016/j.comppsych.2017.02.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 01/31/2017] [Accepted: 02/04/2017] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE Effective interventions have been developed for myriad common psychological and substance use disorders, though they remain highly underutilized. Previous research has shown that the likelihood of treatment utilization varies across disorder diagnosis. However, studies that focus on individual disorders have resulted in a large, piecemeal literature that neglects the high rates of multivariate comorbidity. The current study investigated the association between treatment utilization and transdiagnostic comorbidity factors. METHODS In a nationally representative sample of the United States adult population (N=34,653), we applied the internalizing-externalizing latent comorbidity model to examine its association with lifetime utilization of various treatments for mood, anxiety, and substance use disorders. RESULTS Both internalizing and externalizing transdiagnostic factors were positively associated with all forms of treatment utilization. Stronger within-domain domain (e.g., internalizing's association with mood or anxiety treatment) than between-domain (e.g., internalizing's association with substance use disorder treatment) associations were found. Significant antagonistic internalizing-by-externalizing interactions were also observed. CONCLUSIONS These results underscore the importance of applying a nuanced approach to modeling comorbidity when predicting treatment utilization. Clinical implications are discussed.
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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: 51] [Impact Index Per Article: 6.4] [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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Niarchou M, Moore TM, Tang SX, Calkins ME, McDonald-McGuinn DM, Zackai EH, Emanuel BS, Gur RC, Gur RE. The dimensional structure of psychopathology in 22q11.2 Deletion Syndrome. J Psychiatr Res 2017; 92:124-131. [PMID: 28433949 DOI: 10.1016/j.jpsychires.2017.04.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Revised: 02/24/2017] [Accepted: 04/13/2017] [Indexed: 01/21/2023]
Abstract
BACKGROUND 22q11.2 Deletion Syndrome (22q11.2DS) is one of the strongest known genetic risk factors for developing schizophrenia. Individuals with 22q11.2DS have high rates of neurodevelopmental disorders in childhood, while in adulthood ∼25% develop schizophrenia. Similar to the general population, high rates of comorbidity are common in 22q11.2DS. Employing a dimensional approach where psychopathology is examined at the symptom-level as complementary to diagnostic categories in a population at such high genetic risk for schizophrenia can help gain a better understanding of how psychopathology is structured as well as its genetic underpinnings. This is the first study to examine the dimensional structure of a wide spectrum of psychopathology in the context of a homogeneous genetic etiology like 22q11.2DS. METHODS We evaluated 331 individuals with 22q11.2DS, mean age (SD) = 16.9(8.7); 51% males, who underwent prospective comprehensive phenotyping. We sought to replicate previous findings by examining a bi-factor model that derives a general factor of psychopathology in addition to more specific dimensions of psychopathology (i.e., internalizing, externalizing and thought disorder). RESULTS Psychopathology in 22q11.2DS was divided into one 'general psychopathology' factor and four specific dimensions (i.e., 'anxiety', 'mood', 'ADHD' and 'psychosis'). The 'psychosis' symptoms loaded strongly on the 'general psychopathology' factor. CONCLUSIONS The similarity of the symptom structure of psychopathology between 22q11.2DS and community and clinical populations without the deletion indicate that 22q11.2DS can provide a model to explore alternative approaches to our current nosology. Our findings add to a growing literature indicating the need to reorganize current diagnostic classification systems.
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Affiliation(s)
- Maria Niarchou
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Tyler M Moore
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sunny X Tang
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Monica E Calkins
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Donna M McDonald-McGuinn
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elaine H Zackai
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Beverly S Emanuel
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Raquel E Gur
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Child and Adolescent Psychiatry, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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Reward-related ventral striatum activity links polygenic risk for attention-deficit/hyperactivity disorder to problematic alcohol use in young adulthood. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 2:180-187. [PMID: 28825048 DOI: 10.1016/j.bpsc.2016.10.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Problematic alcohol use in adolescence and adulthood is a common and often debilitating correlate of childhood attention-deficit/hyperactivity disorder (ADHD). Converging evidence suggests that ADHD and problematic alcohol use share a common additive genetic basis, which may be mechanistically related to reward-related brain function. In the current study, we examined whether polygenic risk for childhood ADHD is linked to problematic alcohol use in young adulthood through alterations in reward-related activity of the ventral striatum, a neural hub supporting appetitive behaviors and reinforcement learning. METHODS Genomic, neuroimaging, and self-report data were available for 404 non-Hispanic European-American participants who completed the ongoing Duke Neurogenetics Study. Polygenic risk scores for childhood ADHD were calculated based on a genome-wide association study meta-analysis conducted by the Psychiatric Genomics Consortium and tested for association with reward-related ventral striatum activity, measured using a number-guessing functional magnetic resonance imaging paradigm, and self-reported problematic alcohol use. A mediational model tested whether ventral striatum activity indirectly links polygenic risk for ADHD to problematic alcohol use. RESULTS Despite having no main effect on problematic alcohol use, polygenic risk for childhood ADHD was indirectly associated with problematic alcohol use through increased reward-related ventral striatum activity. CONCLUSIONS Individual differences in reward-related brain function may, at least in part, mechanistically link polygenic risk for childhood ADHD to problematic alcohol use.
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Quinn PD, Pettersson E, Lundström S, Anckarsäter H, Långström N, Gumpert CH, Larsson H, Lichtenstein P, D’Onofrio BM. Childhood attention-deficit/hyperactivity disorder symptoms and the development of adolescent alcohol problems: A prospective, population-based study of Swedish twins. Am J Med Genet B Neuropsychiatr Genet 2016; 171:958-70. [PMID: 26714985 PMCID: PMC5300044 DOI: 10.1002/ajmg.b.32412] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 12/03/2015] [Indexed: 11/05/2022]
Abstract
Children with attention-deficit/hyperactivity disorder (ADHD) are at increased risk of problematic alcohol and other substance use in adolescence. This study used data from an ongoing, prospective, population-based twin study of Swedish children and adolescents to evaluate the extent to which the association between ADHD symptoms and alcohol problems reflects a unique source of genetic or environmental risk related to ADHD versus a broader predisposition to youth externalizing behavior. We used all available data from same-sex monozygotic (MZ) and dizygotic (DZ) twins on ADHD symptoms in childhood (age 9/12; N = 15,549) and alcohol problems in late adolescence (age 18; N = 2,564). Consistent with prior longitudinal studies, the phenotypic association between hyperactive/impulsive ADHD symptoms and alcohol problems was small in magnitude, whereas the association for inattentive symptoms was even weaker. Additive genetic influences explained 99.8% of the association between hyperactive/impulsive symptoms and alcohol problems. Furthermore, we found that the genetic risk specifically associated with hyperactive/impulsive symptoms was attenuated when estimated in the context of externalizing behavior liability during childhood, of which ADHD symptoms were specific expressions. In sensitivity analyses exploring hyperactivity in mid-adolescence, we found a similar pattern of genetic associations. These results are consistent with previous findings of genetically driven overlap in the etiology of ADHD and problematic alcohol use. At least some of this co-occurrence may result from a general predisposition to externalizing behaviors in youth. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Patrick D. Quinn
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN
| | - Erik Pettersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Henrik Anckarsäter
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Niklas Långström
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brian M. D’Onofrio
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN
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Ryan J, Ross S, Reyes R, Kosmerly S, Rogers M. Social functioning among college students diagnosed with ADHD and the mediating role of emotion regulation. EMOTIONAL AND BEHAVIOURAL DIFFICULTIES 2016. [DOI: 10.1080/13632752.2016.1235329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Goldstein RB, Smith SM, Dawson DA, Grant BF. Sociodemographic and psychiatric diagnostic predictors of 3-year incidence of DSM-IV substance use disorders among men and women in the National Epidemiologic Survey on Alcohol and Related Conditions. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2016; 29:924-32. [PMID: 26727008 DOI: 10.1037/adb0000080] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Incidence rates of alcohol and drug use disorders (AUDs and DUDs) are consistently higher in men than women, but information on whether sociodemographic and psychiatric diagnostic predictors of AUD and DUD incidence differ by sex is limited. Using data from Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions, sex-specific 3-year incidence rates of AUDs and DUDs among United States adults were compared by sociodemographic variables and baseline psychiatric disorders. Sex-specific logistic regression models estimated odds ratios for prediction of incident AUDs and DUDs, adjusting for potentially confounding baseline sociodemographic and diagnostic variables. Few statistically significant sex differences in predictive relationships were identified and those observed were generally modest. Prospective research is needed to identify predictors of incident DSM-5 AUDs and DUDs and their underlying mechanisms, including whether there is sex specificity by developmental phase, in the role of additional comorbidity in etiology and course, and in outcomes of prevention and treatment.
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Affiliation(s)
- Risë B Goldstein
- Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research
| | - Sharon M Smith
- Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research
| | - Deborah A Dawson
- Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research
| | - Bridget F Grant
- Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research
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Luo X, Donnellan MB, Burt SA, Klump KL. The dimensional nature of eating pathology: Evidence from a direct comparison of categorical, dimensional, and hybrid models. JOURNAL OF ABNORMAL PSYCHOLOGY 2016; 125:715-26. [PMID: 27214062 DOI: 10.1037/abn0000174] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Eating disorders are conceptualized as categorical rather than dimensional in the current major diagnostic system (Diagnostic and Statistical Manual of Mental Disorders; 5th ed.; American Psychiatric Association, 2013) and in many previous studies. However, previous research has not critically evaluated this assumption or tested hybrid models (e.g., modeling latent variables with both dimensional and categorical features). Accordingly, the current study directly compared categorical, dimensional, and hybrid models for eating pathology in a large, population-based sample. Participants included 3,032 female and male twins (ages 9-30 years) from the Michigan State University Twin Registry. The Minnesota Eating Behaviors Survey was used to assess disordered eating symptoms including body dissatisfaction, weight preoccupation, binge eating, and compensatory behaviors. Results showed that dimensional models best fit the data in the overall sample as well as across subgroups divided by sex and pubertal status (e.g., prepubertal vs. postpubertal). It is interesting to note that the results favored more categorical models when using a case-control subset of our sample with participants who either endorsed substantial eating pathology or no/little eating pathology. Overall, findings provide support for a dimensional conceptualization of eating pathology and underscore the importance of using community samples to capture the full range of severity of eating pathology when investigating questions about taxonomy. (PsycINFO Database Record
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Affiliation(s)
- Xiaochen Luo
- Department of Psychology, Michigan State University
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Personality and Sexual Offending; Non-Sexual Motivators and Disinhibition in Context. SEXUAL OFFENDING 2016. [DOI: 10.1007/978-1-4939-2416-5_8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
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Hasin DS, Grant BF. The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings. Soc Psychiatry Psychiatr Epidemiol 2015; 50:1609-40. [PMID: 26210739 PMCID: PMC4618096 DOI: 10.1007/s00127-015-1088-0] [Citation(s) in RCA: 292] [Impact Index Per Article: 29.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 06/28/2015] [Indexed: 01/12/2023]
Abstract
PURPOSE The NESARC, a "third-generation" psychiatric epidemiologic survey that integrated detailed measures of alcohol and drug use and problems has been the data source for over >850 publications. A comprehensive review of NESARC findings and their implications is lacking. METHOD NESARC was a survey of 43,093 participants that covered alcohol, drug and psychiatric disorders, risk factors, and consequences. Wave 1 of the NESARC was conducted in 2001-2002. Three years later, Wave 2 follow-up re-interviews were conducted with 34,653 of the original participants. Scopus and Pubmed were used to search for NESARC papers, which were sorted into topic areas and summarized. RESULT The most common disorders were alcohol and posttraumatic stress disorders, and major depression. Females had more internalizing disorders and males had more externalizing disorders, although the preponderance of males with alcohol disorders (the "gender gap") was less pronounced than it was in previous decades. A race/ethnic "paradox" (lower risk among disadvantaged minorities than whites) remains unexplained. Younger participants had higher risk for substance and personality disorders, but not unipolar depressive or anxiety disorders. Psychiatric comorbidity was extensive and often formed latent trans-diagnostic domains. Since 1991-1992, risk for marijuana and prescription drug disorders increased, while smoking decreased, although smoking decreases were less pronounced among those with comorbidity. A nexus of comorbidity, social support, and stress predicted transitions in diagnostic status between Waves 1 and 2. Childhood maltreatment predicted psychopathology. Alcohol and drug use disorders were seldom treated; attitudinal barriers (little perceived need, perceived alcoholism stigma, pessimism about efficacy) were more important in predicting non-treatment than financial barriers. CONCLUSIONS Understanding comorbidity and the effects of early stressors will require research incorporating biologic components, e.g., genetic variants and brain imaging. The lack of treatment for alcohol and drug disorders, predicted by attitudinal rather than financial variables, suggests an urgent need for public and professional education to reduce the stigma associated with these disorders and increase knowledge of treatment options.
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Affiliation(s)
- Deborah S Hasin
- Department of Psychiatry, College of Physicians and Surgeons, New York, NY, 10032, USA
- Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
- New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Bridget F Grant
- Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 5635 Fishers Lane, Room 3077, Rockville, MD, 20852, USA.
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Adult ADHD: Associations with Personality and Other Psychopathology. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2015. [DOI: 10.1007/s10862-015-9519-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Ingole R, Ghosh A, Malhotra S, Basu D. Externalizing spectrum or spectra? Underlying dimensions of the externalizing spectrum. Asian J Psychiatr 2015; 15:25-31. [PMID: 26003778 DOI: 10.1016/j.ajp.2015.04.011] [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: 01/22/2015] [Revised: 04/21/2015] [Accepted: 04/26/2015] [Indexed: 11/19/2022]
Abstract
BACKGROUND Major psychiatric disorders have been conceptualized to comprise of two dimensions namely, the internalizing and externalizing spectrum. Externalizing spectrum disorders consist of childhood disruptive behaviour disorders (DBD), antisocial personality disorder (ASPD) and substance use disorders. They are supposed to share common underlying personality traits. However, there is a need to explore the underlying dimensionality of externalizing spectrum of both disorders and traits in a mixed clinical and nonclinical sample from a non-western cultural-ethnic backdrop. MATERIALS AND METHODS One hundred consecutive subjects with alcohol dependence (AD) and an equal number of biologically unrelated non-substance-dependent control subjects were recruited for the study. Subjects were examined for evidence of DBD and ASPD using Semi-Structured Assessment for Genetics of Alcoholism (SSAGA-IV). Validated instruments were used for the assessment of impulsivity, sensation seeking and hostility. Continuous scores generated from these instruments were converted to standardized Z scores to ensure comparability among different types of scales. Data were tested for normality of distribution by Kolmogorov-Smirnov test. Analysis was done by using principal component factor analysis with varimax rotation. RESULTS Factor analysis revealed two broad factors underlying the externalizing spectrum. The first factor included conduct, antisocial personality and oppositional defiant disorder. This factor was labelled as disruptive-dissocial. The second factor, which included AD and all personality traits, was labelled as impulsive-hostile. CONCLUSION Within the externalizing spectrum, there are at least two distinct underlying dimensions: disruptive-dissocial and impulsive-hostile. If confirmed in other samples as well, this may have important implications for understanding and managing psychiatric and psychological issues.
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Affiliation(s)
- Ratnarakshit Ingole
- Drug De-addiction & Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| | - Abhishek Ghosh
- Drug De-addiction & Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| | - Savita Malhotra
- Drug De-addiction & Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| | - Debasish Basu
- Drug De-addiction & Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India.
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Factors of psychological distress: clinical value, measurement substance, and methodological artefacts. Soc Psychiatry Psychiatr Epidemiol 2015; 50:515-24. [PMID: 25682108 DOI: 10.1007/s00127-015-1022-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 02/07/2015] [Indexed: 12/11/2022]
Abstract
PURPOSE Psychometric models and statistical techniques are cornerstones of research into latent structures of specific psychopathology and general mental health. We discuss "pivot points" for future research efforts from a psychometric epidemiology perspective, emphasising sampling and selection processes of both indicators that guide data collection as well as samples that are confronted with them. METHOD First, we discuss how a theoretical model of psychopathology determines which empirical indicators (questions, diagnoses, etc.) and modelling methods are appropriate to test its implications. Second, we deal with how different research designs introduce different (co-)variances between indicators, potentially leading to a different understanding of latent structures. Third, we discuss widening the range of statistical models available within the "psychometrics class": the inclusion of categorical approaches can help to enlighten the debate on the structure of psychopathology and agreement on a minimal set of models might lead to greater convergence between studies. Fourth, we deal with aspects of methodology that introduce spurious (co-)variance in latent structure analysis (response styles, clustered data) and differential item functioning to gather more detailed information and to guard against over-generalisation of results, which renders assessments unfair. CONCLUSIONS Building on established insights, future research efforts should be more explicit about their theoretical understanding of psychopathology and how the analysis of a given indicator-respondent set informs this theoretical model. A coherent treatment of theoretical assumptions, indicators, and samples holds the key to building a comprehensive account of the latent structures of different types of psychopathology and mental health in general.
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