Objective: To explore the association between social cognition and previous suicide attempts and non-suicidal self-injurious behavior in adults with unipolar depressive disorders. Methods: Seventy-two patients undergoing outpatient treatment for unipolar depression were enrolled in this cross-sectional study. Theory of mind was assessed using the Hinting Task and the Revised Reading the Mind in the Eyes Test. Empathy was evaluated using the Interpersonal Reactivity Index. Lifetime suicide attempts and non-suicidal self-injurious behavior were assessed using the Columbia Suicide Risk Rating Scale. Participants with and without these suicide-related outcomes were compared in terms of social cognition. Results: Patients with previous suicide attempts performed worse on the Reading the Mind in the Eyes Test (p = 0.017). Patients with a history of non-suicidal self-injurious behavior were younger (p = 0.005), had a younger age at first depressive episode (p = 0.017), and scored higher on personal distress in the Interpersonal Reactivity Index (p = 0.027). Only personal distress remained independently associated with non-suicidal self-injurious behavior in multivariable analysis (p = 0.038). Conclusion: Among patients with depression, those with previous suicide attempts or non-suicidal self-injurious behavior showed worse social cognition. These results encourage future research on social cognition deficits as clinical markers of suicide-related behaviors and as targets for interventions.

Objective: The stigma toward individuals with mental disorders is highly prevalent, not only in the general population but among health care providers as well. The aim of this study was to identify subgroups based on stigmatizing beliefs related to psychiatric disorders among Brazilian psychiatrists, as well as to investigate their association with clinical and personality characteristics. Methods: Latent cluster analysis was used to find subgroups of cases in multivariate data according to a psychotic (schizophrenia) and a nonpsychotic disorder (attention-deficit hyperactivity disorder). The clusters for each psychiatric disorder were compared according to sociodemographic, emotional traits, and personality characteristics. Results: A total of 779 psychiatrists answered the questionnaire. Three different subgroups of stigma levels were identified regarding schizophrenia: the highest (n=202 [51.7%]), intermediate (108 [27.6%]), and the lowest (81 [20.7%]). Participants from the highest stigma group had a significantly longer time since graduation, higher anxiety-state scores, and lower positive affect. Two subgroups were identified with respect to attention-deficit hyperactivity disorder, although there were no differences between them in sociodemographic or clinical variables. Conclusion: There were more subgroups of stigmatizing beliefs regarding psychotic disorders. Individual characteristics, such as those related to trait anxiety and affect, can be associated with high stigma toward schizophrenia.

Objective: To explore the role of personality traits in at-risk drinking and current cannabis use among medical students. Methods: This cross-sectional study evaluated 707 medical students from two universities. Multiple logistic regression models for at-risk drinking and current cannabis use were constructed including sociodemographic, psychiatric, and personality variables. Results: At-risk drinking and current cannabis use were reported by 19.3% and 14.9% of participants, respectively. Models including Big Five measures showed associations of at-risk drinking with higher extraversion (p < 0.00001, adjusted odds ratio [AOR] = 1.9) and lower conscientiousness (p = 0.00001, AOR = 0.5); cannabis use was also associated with lower conscientiousness (p = 0.003, AOR = 0.6), besides higher openness to experience (p = 0.002, AOR = 1.9). Models including measures of the Behavioral Inhibition and Activation Systems scales (BIS/BAS) showed associations of at-risk drinking with lower BIS (p = 0.002, AOR = 0.9) and higher BAS fun-seeking (p = 0.0005, AOR = 1.2); cannabis use was also associated with higher BAS fun-seeking (p = 0.008, AOR = 1.2). Personality variables had modest effects on model fit. Conclusion: Specific personality traits were independently associated with at-risk drinking and current cannabis use, albeit with modest effect sizes.

Objective: To evaluate predictors of non-return to work (nRTW) among social, demographic, clinical, and psychiatric variables after severe traumatic brain injury (TBI) in a cohort of Brazilian patients. Methods: Prospective study. Forty-three community-dwelling individuals treated at a Level I trauma center at the time of TBI were evaluated 18 months after trauma. Measures included DSM-IV-TR criteria for personality changes after TBI and Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) to assess psychiatric diagnosis. Hospitalization variables included Glasgow Coma Scale scores, pupil examination findings, associated limb trauma, Marshall computed tomography classification, and blood glucose levels. Results: After multiple logistic regression analysis, only the diagnosis of personality changes was found to be independently associated with nRTW, with an adjusted odds ratio of 10.92 (p = 0.02, 95% confidence interval 1.41-84.28). Conclusions: In this study, personality changes were an independent predictor of nRTW after severe TBI. Ways to predict risk factors associated with personality changes after severe brain injury could aid in identification of early and effective interventions that might ease the burden associated with this condition.

Objective: To evaluate the validity and utility of the Hamilton Rating Scale for Depression (HAM-D), Beck Depression Inventory (BDI), and Hospital Anxiety and Depression Scale (HADS) as screening tools for depression after severe traumatic brain injury (TBI). Methods: Forty-six consecutive survivors of severe TBI were evaluated at a median of 15 months after injury. Receiver operating characteristic (ROC) analysis was performed using HAM-D, BDI, and HADS as predictors, and the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) as gold standard. Results: The area under the curve (AUC) for HAM-D was 0.89, and the optimal cutoff point was 7 (sensitivity 92.9%, specificity 78.1%); for the BDI, the AUC was 0.946 and the optimal cutoff point was 14 (sensitivity 92.3%, specificity 96.7%); for the HADS, the AUC was 0.947 and the optimal cutoff point was 9 (sensitivity 100%, specificity 80.7%); and for the HADS depression subscale, the AUC was 0.937 and the optimal cutoff point was 6 (sensitivity 92.9%, specificity 83.9%). There were no statistically significant differences among the AUCs. Conclusion: Our findings support a high validity and utility for the HAM-D, BDI, and HADS as screening tools for depression in patients with severe TBI, without major changes in standard cutoff points.