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A hierarchical causal taxonomy of psychopathology across the life span.
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of each first-order dimension: Different persons exhibiting similar symptoms may be influenced by different combinations of etiologic influences from each of the 3 levels of the etiologic hierarchy. Furthermore, we relate the proposed causal taxonomy to transdimensional psychobiological processes, which also impact the heterogeneity of each psychopathology dimension. This causal taxonomy implies the need for changes in strategies for studying the etiology, psychobiology, prevention, and treatment of psychopathology. (PsycINFO Database Record
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“Models of psychopathology implicate neuroticism as a key contributor to most psychopathologies, though more clearly with internalizing than with externalizing psychopathologies (Kotov et al., 2017; Lahey et al., 2017).”
From Sluggish Cognitive Tempo and Personality: Links to BIS/BAS Sensitivity and the Five Factor Model (2018) · cites this paper as Lahey et al., 2017
Experimental — accuracy not yet measuredIn the citing paper
“whereas at least 5 of 9 symptoms were needed to identify an adult with SCT [25].”
From Advancing the study of sluggish cognitive tempo via DSM, RDoC, and hierarchical models of psychopathology (2019) · cites this paper as [25]
In the citing paper
“empirically-based SCT scales have been developed and validated [7,9,25-28].”
From Advancing the study of sluggish cognitive tempo via DSM, RDoC, and hierarchical models of psychopathology (2019) · cites this paper as [25]
In the citing paper
“Barkley found that adults with SCT (with or without ADHD) earned less annual income and also had greater difficulties self-organization/problem-solving than controls or adults with ADHD-only [25].”
From Advancing the study of sluggish cognitive tempo via DSM, RDoC, and hierarchical models of psychopathology (2019) · cites this paper as [25]
In the citing paper
“Barkley’s nationally representative studies of SCT in children and adults [25,26] were landmark studies but nevertheless underscore three long-standing issues in categorical-based diagnosis that will likely apply to SCT just as they do to most current DSM-based diagnoses: categorical demarcation of a likely dimensional construct, within-diagnosis heterogeneity, and excessive comorbidity [21,24,105”
From Advancing the study of sluggish cognitive tempo via DSM, RDoC, and hierarchical models of psychopathology (2019) · cites this paper as [25]
In the citing paper
“In line with its symptomatology, the etiology of mental disorders also is highly multifactorial and largely unspecific [7, 8].”
From Using person-specific networks in psychotherapy: challenges, limitations, and how we could use them anyway (2020) · cites this paper as [7]
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Metadata
- Authors
- Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H.
- Affiliations
- University of Chicago (US)
- University of Minnesota (US)
- University of Wisconsin–Madison (US)
- Emory University (US)
- Vanderbilt University (US)
- Venue
- Psychological Bulletin
- Published
- 2017-02
- Volume
- 143
- Issue
- 2
- Pages
- 142-186
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- PMC
- PMC5269437
- OpenAlex
- W2561015403
- Cited by
- 443
- References
- 447
- Citations by year
- 2026: 35 · 2025: 31 · 2024: 44 · 2023: 46 · 2022: 44 · 2021: 48 · 2020: 78 · 2019: 53 · 2018: 49 · 2017: 14
- FWCI
- 54.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Psychological Bulletin (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01-MH098098)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Social Sciences › Psychology › Clinical Psychology › Psychology and Mental Health
- Keywords
- psychopathology, lifespan development, symptom heterogeneity, etiology of mental disorders
- MeSH terms
- Age Factors, Mental Disorders, Classification, Humans, Models, Psychological, Sex Factors, Social Environment, Causality, Multivariate Analysis, Genetic Predisposition to Disease
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