Clinical Psychological Science最新文献

An experimental paradigm with subjective and objective assessments was used to further explicate the role of positive emotion dysregulation on risky behavior. Participants were 151 community women currently experiencing intimate partner violence and using substances (M_age = 40.81, 43.0% white). Participants were randomly assigned to positive, negative, and neutral idiographic emotion inductions. Subjective (state self-report) and objective (high frequency heart rate variability [hfHRV], skin conductance response, and salivary cortisol) markers of emotion dysregulation were assessed, following which participants completed subjective (state urges for substances) and objective (Balloon Analogue Risk Task) measures of risky behavior. Results showed (a) greater self-reported state emotion dysregulation and lower hfHRV predicted more urges for substances in the positive (versus negative and neutral) emotion induction conditions; and (b) lower hfHRV predicted more behavioral risk-taking propensity in the positive (versus neutral) emotion induction condition. Findings provide additional support for the influence of positive emotion dysregulation on risky behavior.

Proper diagnosis of ADHD is costly, requiring in-depth evaluation via interview, multi-informant and observational assessment, and scrutiny of possible other conditions. The increasing availability of data may allow the development of machine-learning algorithms capable of accurate diagnostic predictions using low-cost measures to supplement human decision-making. We report on the performance of multiple classification methods used to predict a clinician-consensus ADHD diagnosis. Methods ranged from fairly simple (e.g., logistic regression) to more complex (e.g., random forest), while emphasizing a multi-stage Bayesian approach. Classifiers were evaluated in two large (N>1000), independent cohorts. The multi-stage Bayesian classifier provides an intuitive approach consistent with clinical workflows, and was able to predict expert consensus ADHD diagnosis with high accuracy (>86%)-though not significantly better than other methods. Results suggest that parent and teacher surveys are sufficient for high-confidence classifications in the vast majority of cases, while an important minority require additional evaluation for accurate diagnosis.

Factor-analytic studies are needed in global samples to advance understanding of psychopathology. We aimed to examine the structure of psychopathology and a general psychopathology ('p') factor using data from a cross-sectional study of 971 adults (63% women) from Maputo City, Mozambique. We used confirmatory factor analyses of symptoms from 15 psychiatric disorders to test common models of the structure of psychopathology. Models including internalizing, substance use, and thought disorder factors as well as a general p-factor fit the data well. Measurement invariance testing revealed that factor loadings on p differed by gender. Higher levels of p, internalizing, and thought disorder factors were associated with greater suicide risk, psychiatric comorbidity, chronic medical illnesses, and poorer functioning. A general psychopathology ('p') factor and internalizing, substance use, and thought disorder factors are identifiable in this Mozambican sample. Understanding psychopathology dimensions is a step toward building more scalable mental health service approaches globally.

Empathic accuracy, the ability to accurately understand others' emotions, is typically viewed as beneficial for mental health. However, empathic accuracy may be problematic when a close relational partner is depressed because it promotes shared depression. Across two studies, we measured empathic accuracy using laboratory tasks that capture the ability to rate others' emotional valence accurately over time: first, in a sample of 156 neurotypical married couples (Study 1; Total N=312), and then in a sample of 102 informal caregivers of individuals with dementia (Study 2). Across both studies, the association between empathic accuracy and depressive symptoms varied as a function of a partner's level of depressive symptoms. Greater empathic accuracy was associated with (a) fewer depressive symptoms when a partner lacked depressive symptoms, but (b) more depressive symptoms when a partner had high levels of depressive symptoms. Accurately detecting changes in others' emotional valence may underpin shared depressive symptoms.