Comparison of Suicidal Ideation and Depressive Symptoms Between Medical and Pharmacy Students.

Objective. The purpose of the study was to compare suicidal ideation among medical and pharmacy students and characterize related symptoms.Methods. The authors conducted a cross-sectional, retrospective study to compare suicidal ideation among medical and pharmacy students at a single public university during 2009 to 2020. Respondents' voluntary and anonymous responses to the Interactive Screening Program (ISP) Stress and Depression Questionnaire are reported.Results. The authors analyzed responses from 619 medical and 214 pharmacy students collected over 11 academic years. There was no significant difference between medical and pharmacy students who endorsed suicidal ideation (13.5% vs 17.3%, respectively). The Patient Health Questionnaire-9 (PHQ-9) scores were significantly different between medical and pharmacy students, with more pharmacy students reporting moderate to severe depression (24.3% for medical vs 35.1% for pharmacy). Compared to medical students, more pharmacy students also endorsed anhedonia, a reduced capacity for pleasure (13.4% vs 24.3%, respectively), sleep problems (29.6% vs 42.6%, respectively), and fatigue (46% vs 64.4%, respectively). Pharmacy students also reported more intense affective states such as "feeling your life is too stressful" and "feeling intensely anxious or having anxiety attacks." Relationships and physical/mental health/substance abuse were common themes that emerged from the qualitative data.Conclusion. While there was no significant difference in suicidal ideation between pharmacy and medical students, the prevalence is alarming compared to the general population. More pharmacy students endorsed symptoms of depression and intense affective states that could impair functioning. Future studies may focus on mitigation strategies for suicidal ideation among health professions students.

Factors Affecting Antidepressant Response Trajectories: A Veterans Affairs Augmentation and Switching Treatments for Improving Depression Outcomes Trial Report.

Background: In this secondary analysis of the VA Augmentation and Switching Treatments for Improving Depression Outcomes (VAST-D) study we used antidepressant response trajectories to assess the association of treatment and multiple clinical/demographic factors with the probability of response. Methods: Using data from VAST-D, a multi-site, randomized, single-blind trial with parallel-assignment to one of three treatment interventions in 1522 Veterans whose major depressive disorder was unresponsive to at least one antidepressant trial, we evaluated response patterns using group-based trajectory modeling (GBTM). A weighted multinomial logistic regression analysis with backward elimination and additional exploratory analyses were performed to evaluate the association of multiple clinical/demographic factors with the probability of inclusion into specific trajectories. Additional exploratory analyses were used to identify factors associated with trajectory group membership that could have been missed in the primary analysis. Results: GBTM showed the best fit for depression symptom change was comprised of six trajectories, with some trajectories demonstrating minimal improvement and others showing a high probability of remission. High baseline depression and anxiety severity scores decreased, and early improvement increased, the likelihood of inclusion into the most responsive trajectory in both the GBTM and exploratory analyses. Conclusion: While multiple factors influence responsiveness, the probability of inclusion into a specific depression symptom trajectory is most strongly influenced by three factors: baseline depression, baseline anxiety, and the presence of early improvement.

Schizotypy versus openness and intelligence as predictors of creativity.

Schizophrenia-spectrum risk alleles may persist in the population, despite their reproductive costs in individuals with schizophrenia, through the possible creativity benefits of mild schizotypy in non-psychotic relatives. To assess this creativity-benefit model, we measured creativity (using 6 verbal and 8 drawing tasks), schizotypy, Big Five personality traits, and general intelligence in 225 University of New Mexico students. Multiple regression analyses showed that openness and intelligence, but not schizotypy, predicted reliable observer ratings of verbal and drawing creativity. Thus, the 'madness-creativity' link seems mediated by the personality trait of openness, and standard creativity-benefit models seem unlikely to explain schizophrenia's evolutionary persistence.