Publications by authors named "Holly Levin-Aspenson"

Article Synopsis
  • The study investigates how using small datasets to select an optimal cutoff score for the Patient Health Questionnaire-9 (PHQ-9) can lead to inaccurate results.
  • Researchers evaluated whether data-driven methods for cutoff selection resulted in scores that were significantly different from the true population optimal score and if these methods produced biased accuracy estimates.
  • Findings showed that many small studies frequently failed to identify the correct optimal cutoff score, particularly in smaller samples, leading to an overestimation of test sensitivity.
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The Hierarchical Taxonomy of Psychopathology (HiTOP) is a dimensional framework for psychopathology advanced by a consortium of nosologists. In the HiTOP system, psychopathology is grouped hierarchically from super-spectra, spectra, and subfactors at the upper levels to homogeneous symptom components and maladaptive traits and their constituent symptoms, and maladaptive behaviors at the lower levels. HiTOP has the potential to improve clinical outcomes by planning treatment based on symptom severity rather than heterogeneous diagnoses, targeting treatment across different levels of the hierarchy, and assessing distress and impairment separately from the observed symptom profile.

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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.

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Objective: Despite considerable research examining the efficacy of psychedelic-assisted therapies (PATs) for treating psychiatric disorders, assessment of adverse events (AEs) in PAT research has lagged. Current AE reporting standards in PAT trials are poorly calibrated to features of PAT that distinguish it from other treatments, leaving many potential AEs unassessed.

Methods: A multidisciplinary working group of experts involved in PAT pooled formally and informally documented AEs observed through research experience and published literature.

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Research on trauma exposure and its consequences has made tremendous progress in elucidating the role of traumatic life events in the development and maintenance of psychopathology as well as in evaluating interventions aimed at addressing the personal and public burden of trauma-related psychopathology. However, there is growing concern that problems with predominant definitions of posttraumatic syndrome (e.g.

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In light of the limitations of dominant psychiatric classification systems such as the (), this special section positions fine-grained clinical phenomena as key to the future of psychopathology research. This shift is necessary given the constraints DSM-based diagnoses place on (a) the specificity of theories and models of psychopathology and (b) efforts to develop alternative paradigms. Fine-grained clinical phenomena offer comparative advantages, but transitioning to their study involves significant challenges.

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The organization of personality pathology into trait domains (vs. specific disorders) in represents an important shift in personality disorder (PD) nosology. However, to facilitate clinical implementation, a bridge is needed between this system and the Section II system familiar to many researchers and clinicians.

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There have been proposals to expand definitions for categorical disorders and dimensionally conceptualized syndromes (e.g., psychopathy) to include negative mood lability and dysregulation (NMD).

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The development of factor analysis is uniquely situated within psychology, and the development of many psychological theories and measures are likewise tethered to the common use of factor analysis. In this article, we review modern methodological controversies and developments of factor analytic techniques through concrete demonstrations that span the exploratory-confirmatory continuum. Also, we provide recommendations for working through common challenges in personality disorders research.

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Background: Quantitatively derived dimensional models of psychopathology enjoy overwhelming empirical support, and a large and active community of psychopathology researchers has been establishing an empirically based dimensional hierarchical taxonomy of psychopathology (or HiTOP) as a strong candidate replacement for the current categorical classification system. The hierarchical nature of this taxonomy implies that different levels of resolution are likely to be optimal for different purposes. Our aim was to identify which level of detail is likely to provide optimal validity and explanatory power with regard to relevant clinical variables.

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Given anger's clinical relevance and adverse impact on functioning, there is a need to examine diagnostically heterogeneous individuals at different levels of anger severity to provide a basis for considering anger severity in clinical research and practice. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services project, we examined the validity of severity classifications based on the Clinically Useful Anger Outcome Scale (CUANGOS) in 1738 clinically heterogeneous psychiatric outpatients. We compared patients reporting no, mild, moderate, or severe anger with regard to demographics, psychosocial morbidity, functioning, and life satisfaction.

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Sudden gains commonly occur among patients receiving psychotherapy for depression and have been found to consistently predict better treatment outcomes. However, the majority of prior research has examined sudden gains primarily in weekly or biweekly treatment settings. Individuals were divided into two groups: those who experienced at least one sudden gain and those who did not.

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This study builds upon research indicating that focusing narrowly on model fit when evaluating factor analytic models can lead to problematic inferences regarding the nature of item sets, as well as how models should be applied to inform measure development and validation. To advance research in this area, we present concrete examples relevant to researchers in clinical, personality, and related subfields highlighting two specific scenarios when an overreliance on model fit may be problematic. Specifically, we present data analytic examples showing that focusing narrowly on model fit may lead to (a) incorrect conclusions that heterogeneous item sets reflect narrower homogeneous constructs and (b) the retention of potentially problematic items when developing assessment measures.

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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.

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The personality disorder model is the first fully dimensional assessment of personality pathology. It consists of a personality disorder (PD) dysfunction-severity dimension, which encompasses both self- and interpersonal dysfunction, and six optional qualifiers for five prominent personality traits-Negative Affectivity (NA), Detachment (DET), Dissociality (DSL), Disinhibition (DSN), and Anankastia (ANK)-plus a borderline pattern that is defined by the criteria of borderline PD. This article reports on the development of a new self-report measure to assess self- and interpersonal dysfunction and the five trait qualifiers.

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In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we describe the development and validation of the Clinically Useful Anger Outcome Scale (CUANGOS). Current anger measures vary in their psychometric quality, clinical utility, and clinically relevant content coverage, and no one scale addresses all three of these key considerations. We aimed to develop a brief, clinically useful anger scale that (a) assesses clinically relevant aspects of anger, (b) performs well across different patient populations, and (c) is brief, accessible, and easy to use in routine clinical practice either as a stand-alone measure or as part of an assessment battery.

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As part of a broader project to create a comprehensive self-report measure for the Hierarchical Taxonomy of Psychopathology consortium, we developed preliminary scales to assess internalizing symptoms. The item pool was created in four steps: (a) clarifying the range of content to be assessed, (b) identifying target constructs to guide item writing, (c) developing formal definitions for each construct, and (d) writing multiple items for each construct. This yielded 430 items assessing 57 target constructs.

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Background: Research suggests that re-experiencing and avoidance are "core" PTSD symptoms, but there has been little research explicating their unique connections to psychopathology other than internalizing conditions such as depression and anxiety. We aim to unpack symptom heterogeneity within PTSD by exploring associations between re-experiencing and avoidance clusters and major psychopathology domains in a dimensional metastructural framework (e.g.

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The present study compared the primary models used in research on the structure of psychopathology (i.e., correlated factor, higher-order, and bifactor models) in terms of structural validity (model fit and factor reliability), longitudinal measurement invariance, concurrent and prospective predictive validity in relation to important outcomes, and longitudinal consistency in individuals' factor score profiles.

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Bifactor analyses have become a popular way to model a general psychopathology factor (or ) that accounts for correlations among higher order internalizing, externalizing, and thought-disorder dimensions. However, to advance dimensional nosology and construct validation of the p factor, this body of research needs to be synthesized. This study focuses on the p factor as a substantive construct by testing its consistency across samples and models.

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Article Synopsis
  • - The PHQ-9 is a 9-question tool for identifying and assessing the severity of depression, while the shorter PHQ-2 focuses on the frequency of depressed mood and anhedonia and can serve as an initial screening step.
  • - A study combining data from various sources aimed to evaluate the accuracy of the PHQ-2 alone and alongside the PHQ-9 in detecting major depression through comparisons with validated diagnostic interviews.
  • - Results showed that the PHQ-2 has good sensitivity (91%) but lower specificity (67%) at a score cutoff of 2, with improved performance at a cutoff of 3, indicating it can effectively help in initial screenings for depression when used with interviews.
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We examined the validity of self-report measures of narcissism and mania by relating them to interview-based ratings of psychopathology. Narcissism scales were taken from the Narcissistic Personality Inventory (NPI), the Personality Diagnostic Questionnaire-4+, and the Short Dark Triad. Mania measures included the Altman Self-Rated Mania Scale (ASRM) and scales taken from the Hypomanic Personality Scale (HPS) and Expanded Version of the Inventory of Depression and Anxiety Symptoms.

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Extraversion shows both negative and positive associations with psychopathology. Previous work in this area has focused largely on either a broad higher order extraversion domain score or on specific lower-order extraversion facets. The goal of this study was to explicate how two intermediate of the trait- and -relate to psychopathology.

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Prospective memory (PM) - or memory for tasks to be completed in the future - is essential for daily functioning. Although depression and anxiety have been shown to impair PM performance, few studies have explored the relative contributions of different symptom domains. Here, we examined the relation between anxiety, depression, negative mood, and PM performance using the tripartite model.

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