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 disorders, 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… Show more
“…This approach maximizes coherence of constructs and distinctiveness between them. Moreover, extensive evidence indicates that such constructs capture information about common genetics, risk factors, biomarkers, and treatment response shared by cooccurring forms of psychopathology (Kotov et al, 2020;Krueger et al, 2021;Watson et al, 2022). The DSM attempts to achieve something similar, but it often groups symptoms and disorders in ways that do not reflect empirical reality.…”
Section: Are Descriptive Nosologies Useful?mentioning
confidence: 99%
“…Both structural and validity evidence are considered when evaluating constructs for inclusion in HiTOP (Kotov et al, 2017(Kotov et al, , 2021. Validation of HiTOP is an ongoing process, but it has already produced a substantial body of evidence reviewed in consortium publications (see especially Kotov et al, 2020;Krueger et al, 2021;Watson et al, 2022). We highlight two specific examples of HiTOP's validity and utility for research.…”
Section: Is Hitop Sufficiently Valid To Facilitate Psychopathology Re...mentioning
confidence: 99%
“…consortium (e.g., Kotov et al, 2017Kotov et al, , 2020Kotov et al, , 2021Krueger et al, 2021;Watson et al, 2022).…”
In this commentary, we discuss questions and misconceptions about the Hierarchical Taxonomy of Psychopathology (HiTOP) raised by Haeffel et al. We explain what the system classifies and why it is descriptive and atheoretical, and we highlight benefits and limitations of this approach. We clarify why the system is organized according to patterns of covariation or comorbidity among signs and symptoms of psychopathology, and we discuss how it is designed to be falsifiable and revised in a manner that is responsive to data. We refer to the body of evidence for HiTOP’s external validity and for its scientific and clinical utility. We further describe how the system is currently used in clinics. In sum, many of Haeffel et al.’s concerns about HiTOP are unwarranted, and for those concerns that reflect real current limitations of HiTOP, our consortium is working to address them, with the aim of creating a nosology that is comprehensive and useful to both scientists and clinicians.
“…This approach maximizes coherence of constructs and distinctiveness between them. Moreover, extensive evidence indicates that such constructs capture information about common genetics, risk factors, biomarkers, and treatment response shared by cooccurring forms of psychopathology (Kotov et al, 2020;Krueger et al, 2021;Watson et al, 2022). The DSM attempts to achieve something similar, but it often groups symptoms and disorders in ways that do not reflect empirical reality.…”
Section: Are Descriptive Nosologies Useful?mentioning
confidence: 99%
“…Both structural and validity evidence are considered when evaluating constructs for inclusion in HiTOP (Kotov et al, 2017(Kotov et al, , 2021. Validation of HiTOP is an ongoing process, but it has already produced a substantial body of evidence reviewed in consortium publications (see especially Kotov et al, 2020;Krueger et al, 2021;Watson et al, 2022). We highlight two specific examples of HiTOP's validity and utility for research.…”
Section: Is Hitop Sufficiently Valid To Facilitate Psychopathology Re...mentioning
confidence: 99%
“…consortium (e.g., Kotov et al, 2017Kotov et al, , 2020Kotov et al, , 2021Krueger et al, 2021;Watson et al, 2022).…”
In this commentary, we discuss questions and misconceptions about the Hierarchical Taxonomy of Psychopathology (HiTOP) raised by Haeffel et al. We explain what the system classifies and why it is descriptive and atheoretical, and we highlight benefits and limitations of this approach. We clarify why the system is organized according to patterns of covariation or comorbidity among signs and symptoms of psychopathology, and we discuss how it is designed to be falsifiable and revised in a manner that is responsive to data. We refer to the body of evidence for HiTOP’s external validity and for its scientific and clinical utility. We further describe how the system is currently used in clinics. In sum, many of Haeffel et al.’s concerns about HiTOP are unwarranted, and for those concerns that reflect real current limitations of HiTOP, our consortium is working to address them, with the aim of creating a nosology that is comprehensive and useful to both scientists and clinicians.
“…The Externalizing Spectrum Inventory (ESI-BF) (Patrick et al, 2013) assesses a range of traits and behaviors in the domain of deficient impulse control. Consistent with current clinical models, items cluster along three higher order dimensions reflecting general disinhibition, callous aggression, and substance use (Patrick et al, 2013; see also Kotov et al, 2017;Krueger et al, 2021). We used the 160-item brief form version of the ESI.…”
Guided by principles from life-history theory, theories of adaptive calibration provide an overarching theoretical framework for understanding the developmental roots of impulsivity and externalizing psychopathology. The current research provides evidence for robust associations between perceptions of childhood unpredictability, delay discounting (Studies 1a and 1b), and adult externalizing traits and behaviors (Study 2). Both associations were observed while controlling for perceptions of the harshness of childhood environments, as well as a range of demographic characteristics. The association with externalizing traits and behavior was observed over and above current mood and depressive symptoms. Study 2 also replicated a previously documented association between changes in maternal employment, residence, and cohabitation during childhood and externalizing behavior and, furthermore, suggested that this association was mediated by perceptions of unpredictability. These studies provided no evidence for links between perceived childhood unpredictability and basic forms of risk-taking (Studies 1a and 1c). This research adds to a growing body of work leveraging principles from life-history theory to demonstrate links between childhood experiences, impulsivity, and potentially debilitating forms of mental illness. This work also highlights the value of assessing people’s perceptions of their childhood environments.
“…To put the tutorials in context, we begin with a brief review of the motivation behind and makeup of the HiTOP model of psychopathology. We refer readers to prior consortium publications for the full account of HiTOP’s dimensional structure (Kotov et al, 2017, 2020; Krueger et al, 2018, 2021; Watson et al, 2022) and its implications for substantive research on the origins, development, consequences, and treatment of psychopathology (Conway et al, 2019; Latzman et al, 2020; Ruggero et al, 2019; Waszczuk et al, 2020).…”
Mental health research is at an important crossroads as the field seeks more reliable and valid phenotypes to study. Dimensional approaches to quantifying mental illness operate outside the confines of traditional categorical diagnoses, and they are gaining traction as a way to advance research on the causes and consequences of mental illness. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a leading dimensional research paradigm that synthesizes decades of data on the major dimensions of psychological disorders. In this article, we demonstrate how to use the HiTOP model to formulate and test research questions through a series of tutorials. To boost accessibility, data and annotated code for each tutorial are included at OSF ( https://osf.io/8myzw ). After presenting the tutorials, we outline how investigators can use these ideas and tools to generate new insights in their own substantive research programs.
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