Healthy Sleep Pattern, Metabolic Diseases, and Risk of Stroke: The Kailuan Cohort Study.

IF 3 2区 医学 Q2 CLINICAL NEUROLOGY
Nature and Science of Sleep Pub Date : 2024-08-05 eCollection Date: 2024-01-01 DOI:10.2147/NSS.S468522
Lili Huang, Yesong Liu, Tingting Geng, Nannan Zhang, Liang Sun, Shouling Wu, Xiang Gao
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Abstract

Background: Sleep complaints were reported to be associated with stroke, however, the evidence on the association between healthy sleep pattern and stroke risk in Chinese is limited.

Objective: The aim of this study was to investigate the association between healthy sleep pattern and stroke in Chinese, and the influence of metabolic diseases on the association.

Methods: A total of 11,851 participants from the Kailuan study in China without stroke at baseline were included. We calculated a healthy sleep score according to four sleep factors, and defined the low-risk groups as follows: no insomnia, no excessive daytime sleepiness, no frequent snoring, and sleep 7-8h/d. Each low-risk sleep factor was assigned a score of 1. Cox proportional hazard models were used to assess the association between healthy sleep score and stroke. Mediation analysis was used to estimate the role of metabolic diseases (obesity, diabetes, and hypertension) in the healthy sleep score-stroke association.

Results: During a mean follow-up period of 7.7 years, 504 cases of stroke were identified. A higher healthy sleep score was associated with a lower risk of stroke in a dose-response manner (P-trend=0.03). The adjusted hazard ratio (HR) for participants with a healthy sleep score of 4 versus ≤2 was 0.75 (95% confidence interval [CI]: 0.56, 0.96). In addition, obesity, diabetes, and hypertension collectively explained 21.9% (95% CI: 17.2, 26.5) of the association between healthy sleep score and stroke.

Conclusion: Adherence to healthy sleep pattern was associated with a lower risk of stroke, and the favorable association was partially mediated by metabolic diseases.

健康睡眠模式、代谢性疾病和中风风险:开滦队列研究
背景:据报道,睡眠不适与中风有关:然而,有关中国人健康睡眠模式与脑卒中风险之间关系的证据却很有限:本研究旨在调查中国人健康睡眠模式与脑卒中之间的关系,以及代谢性疾病对这种关系的影响:方法:共纳入 11851 名中国开滦研究的参与者,他们基线时均未患有脑卒中。我们根据四个睡眠因素计算了健康睡眠评分,并将低风险组定义为:无失眠、无白天过度嗜睡、无频繁打鼾、睡眠时间为 7-8 小时/天。每个低风险睡眠因素的得分均为 1。采用 Cox 比例危险模型评估健康睡眠得分与中风之间的关系。使用中介分析估计代谢性疾病(肥胖、糖尿病和高血压)在健康睡眠评分与中风关系中的作用:结果:在平均 7.7 年的随访期间,共发现 504 例中风病例。健康睡眠评分越高,中风风险越低(P-趋势=0.03)。健康睡眠评分为 4 分与≤2 分的参与者的调整后危险比 (HR) 为 0.75(95% 置信区间 [CI]:0.56, 0.96)。此外,肥胖、糖尿病和高血压共同解释了21.9%(95% CI:17.2,26.5)的健康睡眠评分与中风之间的关系:结论:坚持健康睡眠模式与降低中风风险有关,而这种有利的关联部分是由代谢性疾病介导的。
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来源期刊
Nature and Science of Sleep
Nature and Science of Sleep Neuroscience-Behavioral Neuroscience
CiteScore
5.70
自引率
5.90%
发文量
245
审稿时长
16 weeks
期刊介绍: Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep. Specific topics covered in the journal include: The functions of sleep in humans and other animals Physiological and neurophysiological changes with sleep The genetics of sleep and sleep differences The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness Sleep changes with development and with age Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause) The science and nature of dreams Sleep disorders Impact of sleep and sleep disorders on health, daytime function and quality of life Sleep problems secondary to clinical disorders Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health) The microbiome and sleep Chronotherapy Impact of circadian rhythms on sleep, physiology, cognition and health Mechanisms controlling circadian rhythms, centrally and peripherally Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms Epigenetic markers of sleep or circadian disruption.
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