Introduction: University students often describe their academic years as a period of continuous personal change, which may increase vulnerability to unhealthy lifestyle habits. These habits can influence body composition and are associated with both physical conditions (e.g., overweight, sedentary behavior) and psychological well-being, including suicide risk. Method: A quantitative, non-experimental, cross-sectional, descriptive–comparative–correlational design was employed, using a non-probabilistic intentional sample of 174 university students. Data were collected using the OMRON 514C body composition monitor, the Difficulties in Emotional Regulation Scale (DERS-E), and Plutchik’s Suicide Risk Scale. Statistical analyses included descriptive statistics, independent samples t-tests for gender comparisons, Pearson’s correlation analyses, and multiple linear regression analyses to examine whether the observed bivariate associations remained significant after controlling for gender. Results: Descriptive analyses showed variability in body composition, emotional dysregulation, and suicide risk. Gender comparisons indicated that men presented higher weight, height, skeletal muscle mass, visceral fat level, and basal metabolic rate, whereas women reported higher body fat percentage, greater emotional dysregulation, and higher suicide risk. Correlation analyses revealed that suicide risk was negatively associated with skeletal muscle mass (r = −0.24, p = 0.002), basal metabolic rate (r = −0.21, p = 0.006), height (r = −0.27, p 0.05). In contrast, emotional dysregulation dimensions, particularly emotional rejection, maintained significant associations with suicide risk after adjustment for gender. Additionally, negative associations were found between BMI and emotional dysregulation, and between height and emotional clarity, even after controlling for gender. Discussion: The findings highlight emotional dysregulation as a central and robust factor associated with suicide risk in university students, whereas body composition indicators appear to play a more limited and gender-dependent role. The fact that associations between physical markers (skeletal muscle, basal metabolism) and suicide risk were mediated by gender underscores the importance of considering sociodemographic factors when interpreting body–mental health relationships. These results support the need for integrated biopsychosocial prevention strategies that address emotional regulation within the university context, while considering the differential impact of gender on both physical and psychological risk factors.
Arevalo et al. (Thu,) studied this question.