Evaluating the relationship of sleep quality and sleep duration with Framingham coronary heart disease risk score

医学 匹兹堡睡眠质量指数 弗雷明翰风险评分 睡眠(系统调用) 逻辑回归 弗雷明翰心脏研究 内科学 物理疗法 疾病 失眠症 睡眠质量 精神科 计算机科学 操作系统
作者
Hakan Çakır,Aygül Güneş,Fahri Er,Hilal Çakır,Ali Karagöz,Fatih Yılmaz,Lütfi Öcal,Regayip Zehır,Mehmet Yunus Emiroğlu,Mehmet Demir,Cıhangır Kaymaz,Erhan Tenekecioğlu
出处
期刊:Chronobiology International [Informa]
卷期号:39 (5): 636-643 被引量:2
标识
DOI:10.1080/07420528.2021.2018453
摘要

Sleep is an important modulator of cardiovascular function and is recognized to play an important role in the pathogenesis and progression of cardiovascular disease. However, results of the studies investigating the relationship between sleep complaints and cardiovascular outcomes are still controversial. This study aimed to investigate the associations of sleep duration and sleep quality with Framingham 10-year hard coronary heart disease (CHD) risk score in Turkish adults. We included a total of 362 participants (mean age: 48.5 ± 9.0 years, 50.6% males) and measured sleep quality and sleep duration using Pittsburgh Sleep Quality Index (PSQI). Framingham risk scoring system was utilized to calculate the 10-year hard CHD risk of participants. Binary logistic regression analysis was performed to determine the association between sleep quality, sleep duration, and CHD risk. Both short sleep duration (<6 hours) (OR = 3.858, 95% CI: 1.245-11.956) and long sleep duration (≥8 hours) (OR = 2.944, 95% CI: 1.087-7.967) were identified as the predictors of 10-year hard CHD risk. However, sleep quality was not associated with 10-year CHD risk even as a categorical or continuous variable (OR = 0.864, 95% CI: 0.418-1.787 and OR = 0.985, 95% CI: 0.868-1.117, respectively). Our findings highlighted previous studies demonstrating the U-shaped relationship, with both short and long sleep durations to be associated with a higher CHD risk. Evaluation of habitual sleeping patterns may provide additional information in clinical cardiovascular risk assessment. Future research should investigate whether interventions to optimize sleep duration may help to prevent coronary events in large population-based cohorts.
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