Chinese Medicine College, Beijing University of Chinese Medicine, Beijing, China.
Chinese Medicine College, Beijing University of Chinese Medicine, Beijing, China.
J Stroke Cerebrovasc Dis. 2024 Oct;33(10):107918. doi: 10.1016/j.jstrokecerebrovasdis.2024.107918. Epub 2024 Aug 9.
Stroke represents a significant health crisis in the United States, claiming approximately 140,000 lives annually and ranking as the fifth leading cause of death.
Utilizing data from the National Health and Nutrition Examination Survey (NHANES) for 2005 to 2008, this study examines the correlation between various sleep characteristics and both stroke morbidity and all-cause mortality among U.S. adults.
We applied logistic regression, Cox regression, and subgroup analyses to a sample of 7,827 adults aged 18 and older from NHANES 2005-2008. The study focused on six sleep characteristics: duration of sleep, sleep onset latency, snoring frequency, number of awakenings, frequency of leg spasms during sleep, and daytime sleepiness, analyzing their impacts on stroke incidence and mortality rates.
Participants had an average age of 45.80 ± 0.45 years, with females accounting for 48.13 % of the sample. Analysis revealed significant associations between sleep duration, onset latency, number of awakenings, leg spasms, and daytime sleepiness with stroke incidence. However, these associations weakened with increasing confounders. Additionally, stroke patients showed a higher likelihood of using sleep aids. The influence of sleep disturbances on stroke appeared more pronounced in females and younger demographics. An association was also noted between the number of awakenings, sleep duration, and stroke mortality rates CONCLUSIONS: The study reinforces the critical role of maintaining healthy sleep patterns in preventing strokes and enhancing stroke prognosis, emphasizing specific sleep disturbances as potential risk factors.
在美国，中风是一项重大的健康危机，每年导致约 14 万人死亡，是第五大致死原因。
本研究利用 2005 年至 2008 年国家健康和营养检查调查（NHANES）的数据，探讨美国成年人各种睡眠特征与中风发病率和全因死亡率之间的相关性。
我们对来自 NHANES 2005-2008 年的 7827 名年龄在 18 岁及以上的成年人样本应用了逻辑回归、Cox 回归和亚组分析。研究重点关注了 6 种睡眠特征：睡眠时间、入睡潜伏期、打鼾频率、觉醒次数、睡眠中腿部痉挛频率和白天嗜睡，分析它们对中风发生率和死亡率的影响。
参与者的平均年龄为 45.80 ± 0.45 岁，女性占样本的 48.13%。分析显示，睡眠时间、入睡潜伏期、觉醒次数、腿部痉挛和白天嗜睡与中风发生率之间存在显著关联。然而，随着混杂因素的增加，这些关联减弱。此外，中风患者更有可能使用助眠药物。睡眠障碍对中风的影响在女性和年轻人群中更为明显。研究还注意到觉醒次数、睡眠时间与中风死亡率之间存在关联。
本研究强调了保持健康睡眠模式在预防中风和改善中风预后方面的关键作用，突显了特定睡眠障碍作为潜在风险因素的重要性。
