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.
The current study compared two competing theories of the stress generation model of depression (stress causation vs. stress continuation) using interview-based measures of episodic life stress, as well as interpersonal and noninterpersonal chronic life stress. We also expanded on past research by examining anxiety disorders as well as depressive disorders. In addition, we examined the role of neuroticism and extraversion in these relationships. Participants were 627 adolescents enrolled in a two-site, longitudinal study of risk factors for depressive and anxiety disorders. Baseline and follow-up assessments were approximately one year apart. Results supported the stress causation theory for episodic stress generation for anxiety disorders, with neuroticism partially accounting for this relationship. The stress causation theory was also supported for depression, but only for more moderate to severe stressors; neuroticism partially accounted for this relationship as well. Finally, we found evidence for interpersonal and noninterpersonal chronic life stress continuation in both depressive and anxiety disorders. The present findings have implications regarding the specificity of the stress generation model to depressive disorders, as well as variables involved in the stress generation process.
Though there is a considerable amount of research supporting the association between stressful life events and major depression, there is a paucity of research concerning a range of other life stress constructs, non-depressive disorders, the role of stable personality traits, and gender differences. This study addresses these deficits by: (a) focusing on the association between interpersonal and non-interpersonal chronic life stress (CLS) and both depressive and anxiety disorders, (b) examining the roles of neuroticism and low extraversion in these associations, and (c) assessing gender differences. Participants were 603 adolescents from a study examining risk factors for emotional disorders. Depression and social phobia were associated with interpersonal CLS, with neuroticism partially accounting for these associations. Low extraversion partially accounted for the association between social phobia and interpersonal CLS. Depression was also associated with non-interpersonal CLS, but only in females. This study provides preliminary evidence for the importance of personality variables in explaining shared associations between stress and depression. Additionally, the stress-social phobia relationship is highlighted, with no evidence supporting an association between other anxiety disorders and CLS.
This study examines whether content overlap artificially inflates estimates of the associations of emotional disorders with neuroticism and whether disorder-specificity of prediction exists. We demonstrated a statistical approach for testing the validity of hypothesized facets of neuroticism. In a sample of 627 adolescents, we indentified six facets of neuroticism, one intermediate facet, and a general neuroticism factor (GNF). Only the GNF and the depression facet were significantly associated with depressive symptomatology. The GNF and all facets significantly predicted anxiety symptomatology. This study offers a new statistical approach for addressing content overlap, testing for disorder specific prediction and identifying facets of a broad personality trait, while indicating that content overlap does not largely explain the associations of neuroticism with psychopathology.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.