Introduction: Sleep is a fundamental biological process essential for cognitive performance, emotional regulation, and physical health. However, among university students, sleep disturbances and irregular sleep patterns have become increasingly prevalent due to academic stress, poor lifestyle choices, and environmental factors. Aim: This study investigated the relationship between anthropometric body composition and sleep quality among university students. The research aimed to assess how specific anthropometric indices such as Body Mass Index (BMI), waist circumference, neck circumference, and waist-to-hip ratio (WHR)—influence sleep quality and duration. Methods: A cross-sectional descriptive design was employed, involving 423 participants selected through stratified sampling across various faculties. Anthropometric data were collected using standard procedures, while sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), a widely validated tool. Results: Descriptive analysis showed that 33.6% of the participants were either overweight or obese, with a mean BMI of 23.8 ± 3.7 kg/m². Furthermore, 59.3% of the students reported poor sleep quality (PSQI score > 5), and the mean sleep duration was 6.6 ± 1.2 hours, which falls below the optimal range for young adults. Correlation analysis revealed significant positive associations between anthropometric indices and PSQI scores (p < 0.001), indicating that increased body fat is related to poorer sleep quality. Notably, neck circumference (r = 0.42), BMI (r = 0.39), and waist circumference (r = 0.33) were strongly associated with sleep disturbances. Multiple regression analysis confirmed that BMI (β = 0.26), neck circumference (β = 0.33), and waist circumference (β = 0.15) significantly predicted poor sleep quality, accounting for approximately 29% of the variance in sleep outcomes (R² = 0.29, p < 0.001). WHR, however, did not emerge as a significant predictor. Conclusion: The study concludes that poor anthropometric profiles are strongly associated with sleep disruption among university students.

Depression in adolescents has become a major social issue and, in most cases, leads to permanent functional impairment in adulthood. Since then, the discipline has successfully overcome the naive nature versus nurture controversy and embraced dynamic models of integration. This review contributes to a developmental-transactional model, which assumes that depressive outcomes are a result of the interaction of diffuse genetic vulnerabilities and powerful interpersonal stressors. In this case, genetic predisposition creates a risk gradient of probability, which often is manifested as increased sensitivity to the environment, especially the relationship landscapes of family and peers. Genetic factors can affect reactivity to adversity and determine the stressors people face in a systematic manner through gene-environment correlation and interaction mechanisms. A dual-pronged intervention approach is thus needed: to decrease the modifiable social risks and at the same time increase the environmental buffers to reduce the inherent biological vulnerability.