Abstract
Depression and suicide attempts are reported to be high among medical students. It has also been reported that depression, suicide attempts, and autistic traits may be significantly related. The aim of this study was to determine the suicide probability and autistic traits of medical students with and without depression symptoms, and to examine the relationship between depression symptoms, suicide probability, and autistic traits together in these students. This cross-sectional study was conducted among 313 medical students, 206 female, and 107 male, who, according to the sociodemographic form, did not have any current psychiatric diagnosis, chronic medical or neurological disorders requiring treatment, or regular use of psychotropic medications, and who completed the forms in full. All the study participants completed a sociodemographic form, the Beck depression inventory (BDI), the suicide probability scale (SPS), and the autism spectrum quotient (ASQ).The entire study sample was divided into 2 groups: students with and without symptoms of depression, based on BDI scores. In the multivariate analysis, independent predictors of depression symptoms were examined using logistic regression analysis. The BDI total points (z = -13.99, P < .001), SPS total points (z = 10.61, P < .001), and subscale points of hopelessness (z = -9.28, P < .001), suicidal ideation (z = 8.48, P < .001), negative self-evaluation (z = -9.26, P < .001), and hostility (z = -8.10, P < .001), and the ASQ subscale points of communication (z = -5.05, P < .001), social skills (z = -6.05, P < .001), imagination (z = -3.27, P = .001), attention shifting (z = -4.35, P < .001), and ASQ total points (z = -6.64, P < .001) were significantly higher for the participants with BDI total points above the cutoff value compared to those with BDI total points below the cutoff value. Statistically significant positive correlations were found between BDI total points and SPS total points (R = 0.710, P < .001), ASQ total points (R = 0.451, P < .001), and between ASQ total points and SPS total points (R = 0.534, P < .001). The contribution of age, gender, ASQ, and SPS total points to explaining depression symptoms was evaluated using logistic regression analysis. This analysis showed that the SPS total points could be a significant predictor of depression symptoms (B = 0.112, P < .001). The findings of this study showed that the probability of suicide and the ASQ total and subscale points of communication, social skills, imagination, and attention shifting were significantly higher in medical students with symptoms of depression compared to those without depressive symptoms. Given the important relationship between symptoms of depression, suicidality, and autistic traits, it is crucial to raise awareness of these issues among medical education departments, health practitioners, medical students, and to provide the necessary guidance and clinical support for medical students to address these problems.