Objective: This is the first umbrella review to integrate the available research syntheses on the associations between glucagon-like peptide-1 receptor agonists (GLP-1RAs) and suicidality. Methods: A systematic search within the main databases (MedLine, PubMed, PsychInfo, Web of Science, Science Direct, Sage, Wiley, Scopus, Google Scholar, Proquest, and Cochrane Library) was performed using the main key words. Out of a total of 50 initial studies, a final number of 12 reviews and meta-analyses were included in the study. Results: Except for two observational studies, the results consistently found no significant association between GLP-1RAs and suicidality, though improvements in symptomatology (as found in five studies), quality of life (three studies), and diabetes distress (one study) were highlighted. Although no causal effect could be yielded, an association was observed between suicidality and having unrealistic treatment expectations, being underweighted, and being treated with semaglutide and liraglutide (as indicated by two studies). Conclusion: GLP-1RA treatment represents a safe option when treating diabetes/obesity. However, a careful assessment of treatment expectations and of suicide risk is needed in order to attenuate potential suicidal tendencies that already exist.
8 September 2025 in BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
This focused pilot study aimed to explore specific associations between key digital media habits, namely, time spent on social media applications and video gaming, and the severity of depressive symptoms among undergraduate medical and nursing students at the University of Galați during the 2024–2025 academic year. A total of 115 students completed standardised measures assessing time spent on social media and gaming, alongside the Patient Health Questionnaire-9 and data were analysed using SPSS version 27. Descriptive statistics characterised the sample's digital media engagement and varying levels of depressive symptoms (mean PHQ-9 = 9.72 for medical students; mean PHQ-9 = 8.05 for nursing students). Correlational analyses revealed no statistically significant associations between self-reported time spent on social media applications and PHQ-9 scores, nor between time spent on video games and PHQ-9 scores. Regression analyses further indicated that specific screen time metrics were not significant predictors of depressive symptom severity. These findings suggest that screen time, in isolation, may not adequately capture the complexities of mental health outcomes in this population, highlighting the need for larger, more nuanced studies that investigate additional dimensions of digital engagement and contextual factors pertinent to student mental health in Romania.