Key result
Sleep quality scores show no significant correlation with cardiovascular risk factors in university students.
Why the study?
Cardiovascular risk factors may begin during young adulthood, and poor sleep quality is linked to cardiometabolic risk, but evidence among university students remains limited.
Does poor sleep quality correlate with higher cardiovascular risk factors in university students?
Cross-Sectional (n=235)
Yes
Does poor sleep quality correlate with higher cardiovascular risk factors in university students?
Sleep disturbance is common among university students but is not strongly correlated with other early cardiovascular risk domains in unadjusted analyses.
Lack of correlation does not support sleep quality as a concurrent CV risk marker in students; leaves open longitudinal studies to clarify causality.
Background: Cardiovascular risk factors may begin to develop during young adulthood, when sleep habits, dietary behavior, stress exposure, and lifestyle patterns become established. Poor sleep quality has been linked with cardiometabolic risk, but evidence among university students remains limited. Objective: To assess the association between sleep quality and cardiovascular risk-factor domains among university students. Methods: A cross-sectional observational study was conducted among 235 university participants aged 18–26 years. Data were collected from April to June 2024 using a structured questionnaire, the Groningen Sleep Quality Scale, and a cardiovascular risk assessment questionnaire. Demographic characteristics, body mass index category, waist circumference category, sleep-quality responses, and cardiovascular risk domains were analyzed using IBM SPSS Statistics version 25. Frequencies and percentages were used for descriptive analysis, and Pearson correlation was used to assess relationships among nonconstant risk scores. Results: Most participants were female (63.4%) and aged 19–24 years (81.7%). Sleep-related complaints were frequent, including morning tiredness (64.3%), sleep latency longer than 30 minutes (61.3%), insufficient sleep (56.2%), nocturnal rising (53.2%), and sleep duration of five hours or less (51.5%). Sleep-related cardiovascular risk was categorized as medium in 64.3% and high in 11.9%. Sleep score showed weak correlations with lifestyle (r = -0.055, p = 0.404), blood pressure (r = 0.022, p = 0.739), and diet (r = 0.127, p = 0.051). The only statistically significant correlation was between blood-pressure and diet scores (r = 0.198, p = 0.002). Conclusion: Sleep disturbance was common among university students, but sleep score was not strongly associated with other cardiovascular risk domains. The findings support the need for larger studies using validated tools and adjusted analyses to clarify sleep-related cardiovascular risk in young adults
No takes yet. Share an insight, caveat, or question.
Ayub et al. (2026) conducted a cross-sectional in Healthy university students (n=235). Sleep quality was evaluated on Correlation between sleep score and cardiovascular risk domains (lifestyle, blood pressure, diet) (r = 0.022 (blood pressure), r = 0.127 (diet), r = -0.055 (lifestyle), p=0.739 (blood pressure), 0.051 (diet), 0.404 (lifestyle)). Sleep quality scores showed weak and statistically non-significant correlations with lifestyle, blood pressure, and diet risk scores among university students.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: