Document Type : Original Article
Authors
1 Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
2 Non-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
3 Department of Community Medicine, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
Abstract
Background: Cardiovascular Diseases (CVDs) are now among the most common chronic conditions and are the leading cause of disability, morbidity, and mortality worldwide. Also, sleep
duration is considered a neglected modifiable risk factor for CVDs. Therefore, this study aimed to investigate the association between sleep duration and the prevalence of CVD in a large scale of the Iranian population.
Methods: In this cross-sectional study, baseline data from 9,632 participants aged 40 to 70 years were collected between 2014 and 2016 and analyzed. Sleep duration was categorized into five groups (<6, 6–6.9, 7–7.9, 8–8.9, and ≥9 hours). The association between categorized sleep duration and the prevalence of CVD was assessed using both crude and adjusted multiple logistic
regression models. In addition, a sensitivity analysis was performed.
Results: In the crude analysis, both males and females who slept <6 hours showed similar odds ratios for CVD (males: OR=1.42, P=0.046; females: OR=1.44, P<0.001). In the adjusted model, both short (<6 hours) and long (≥9 hours) sleep durations were associated with increased odds of CVD for both genders, reaching statistical significance exclusively in females. A sensitivity analysis was then performed, which resulted in modest attenuation of the associations in both genders.
Conclusion: Overall, our findings indicate that both short and long sleep duration are associated with an increased risk of CVD, particularly among females. These results emphasize the importance of maintaining a balanced sleep duration for cardiovascular health and support the potential benefit of sleep related interventions in reducing CVD risk.
Highlights
Alireza Dehghani (Google Scholar)
Mozhgan Seif (Google Scholar)
Keywords
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