The Diagnostic and Statistical Manual of Mental Disorders arranges co-occurring clusters of symptoms into distinct disorder categories, which theoretically have specific etiologies, pathologies, and treatments. However, researchers and clinicians alike have consistently found DSM diagnoses to have high rates of comorbidity, low diagnostic specificity, and no disorder has proven to be a discrete category. There is mounting evidence that dimensional taxonomies more accurately capture the underlying structure of mental illness and clinical presentations. The recently proposed hierarchical taxonomy of psychopathology presumes to address the issues of categorical nosologies using a data driven approach to create a dimensional model of psychopathology. However, heretofore there are no empirical examinations of HiTOP's ability to predict psychotherapy treatment outcomes. This study compared the predictive validity DSM, RDoC, and HiTOP criteria using natural language processing on free text narrative notes. Of the three GMM run, only the model using DSM criteria as predictors had adequate model fit. Additionally, none of the nosologies significantly predicted treatment course. Implications for the application of RDoC and HiTOP are discussed.

Based on a step-wedge randomized control trial (intervention n = 136; comparison n = 137), this study investigated the impact of a peer mentor intervention for youth living with HIV aged 15-24 years in Ndola, Zambia. Using piecewise hierarchical linear modeling (HLM), change in internalized stigma predicted change in mindfulness, and mindfulness was a significant predictor of better self-reported adherence to antiretroviral therapy (ART) across both intervention groups. Intervention group membership did not predict rate of change in mindfulness, but predicted a reduction in internalized stigma and an increase in self-reported ART adherence. Following the peer mentor intervention, internalized stigma was significantly lower in the intervention group than the comparison group. Findings highlight the need to develop and implement interventions specific to adolescents living with HIV with a biopsychosocial approach that attends to both the physical and psychological needs specific to adolescents. Our findings support the inclusion of mindfulness-based components in interventions targeting ART adherence for adolescents living with HIV.

This person-centered analytic approach identifies homogeneous offender subtypes in terms of psychopathic trait profiles and facilitates examination of correlates that may be linked with specific subtypes. Prosody is an external correlate that contains a wealth of information relevant to disruptions in cognition and affect and may offer novel insight into different psychopathic subtypes. The current study examined prosodic output in a male offender sample (n = 469) within the context of the clinical Psychopathy Checklist – Revised interview (PCL-R; Hare, 2003). Audio recorded speech samples were drawn from offender responses to affectively-charged PCL-R interview questions representing differing levels of valence and arousal. Generally consistent with previous literature, LPA results indicated that a four-class solution yielded the best model fit for the allocation of individual cases to subtypes with high overall classification accuracy (85%). Results of external validation analyses using mixed effects multivariate analysis of variance revealed significant two- and three-way interactions (psychopathy subtype x valence x arousal) for both speech production and variability indices that helped differentiate the subtypes. Overall, the current study suggests that meaningful differences exist in terms of prosodic output within psychopathic offender subtypes, which may be related to dysfunction in underlying affective processes. Implications of these …