Objective: To determine the sleep quality of postgraduate health students in Bogotá, Colombia. Methods: This observational, descriptive, cross-sectional study included 223 postgraduate health students in Bogotá, Colombia, in 2023. Participants completed an online survey reporting demographic variables, postgraduate program characteristics, as well as coffee consumption, the sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Associations between these variables were evaluated using a lineal regression model. Results: A significant majority of participants (91.03%) reported poor sleep quality. Statistically significant differences in sleep quality were observed when comparing groups based on specific factors: students exclusively dedicated to their studies and those in medical-surgical specializations exhibited worse sleep scores. Additionally, while the bivariate analysis showed a negative association between working while studying and sleep quality, this association was not significant in the linear regression model. No significant differences in PSQI scores were found when comparing by gender or coffee consumption. Discussion: This research revealed that age and exclusive dedication to studies are significantly associated with lower sleep quality among postgraduate health students in Bogotá, Colombia. This finding is consistent with previous studies highlighting academic stress as a risk factor for insomnia in university populations. Interestingly, although most of the respondents indicated that they worked while studying, this factor did not show a significant association with sleep quality in the linear model. Coffee consumption, a known stimulant with the potential to disrupt sleep, was associated with an increase in PSQI scores, aligning with literature documenting coffee's effects on sleep latency and continuity. These results underscore the importance of addressing lifestyles and academic demands in student wellness interventions to improve sleep quality. Given the study's cross-sectional nature, the conduct of longitudinal research is recommended for a deeper understanding of the causality and dynamics over time of these risk factors.
