Health Sciences Department, Franklin Pierce University, Rindge, New Hampshire, USA.
Department of Kinesiology, University of Massachusetts, Amherst, Massachusetts, USA.
Chronobiol Int. 2023 Mar;40(3):324-334. doi: 10.1080/07420528.2023.2170240. Epub 2023 Jan 24.
Cardiovascular physiology and pathophysiology display pronounced circadian rhythms. The study is designed to examine whether the time of day of physical activity is associated with cardiovascular mortality. We analyzed 94,489 UK Biobank adults with objectively measured physical activity, including 53,328 morning-type participants and 30,962 evening-type participants based on self-reported chronotypes. The time of day of peak physical activity was categorized using a machine learning algorithm: early morning (n = 18,477), late morning (n = 25,700), midday (reference) (n = 27,803), and night (n = 22,509). Hazard ratios of cardiovascular mortality were examined using the Cox proportional hazards model. During a median follow-up of 6.9 years (interquartile range, 6.3-7.4 years), we identified 629 cardiovascular deaths. The hazard of cardiovascular mortality was elevated in the early morning group (hazard ratio = 1.56, 95% Confidence Interval [1.23-1.98]) and night group (1.49, [1.18-1.88]) but not in the late morning group (1.21, [0.98-1.47]) compared to the referent midday group. In the chronotype-stratified analysis, the increased cardiovascular mortality in the morning group was only observed in the evening-type participants, while the increased cardiovascular mortality in the night group was only observed in the morning-type participants. In conclusion, optimizing the timing of peak physical activity according to cardiovascular circadian rhythms and individual chronotypes could be a potential therapeutic target that brings additional health benefits.
心血管生理学和病理生理学表现出明显的昼夜节律。本研究旨在探讨体力活动的时间是否与心血管死亡率有关。我们分析了 94489 名英国生物库成年人的体力活动,这些成年人的体力活动是通过客观测量得出的,其中包括 53328 名晨型参与者和 30962 名晚型参与者,这些参与者是根据自我报告的生物钟类型划分的。使用机器学习算法将体力活动峰值时间分类:清晨(n=18477)、上午(n=25700)、中午(参考)(n=27803)和夜间(n=22509)。使用 Cox 比例风险模型检查心血管死亡率的风险比。在中位数为 6.9 年(四分位距,6.3-7.4 年)的随访期间,我们确定了 629 例心血管死亡。与参考的中午组相比,清晨组(风险比=1.56,95%置信区间[1.23-1.98])和夜间组(1.49,[1.18-1.88])的心血管死亡风险升高,但上午组(1.21,[0.98-1.47])没有升高。在生物钟类型分层分析中,只有在晚型参与者中观察到清晨组心血管死亡率的增加,而只有在晨型参与者中观察到夜间组心血管死亡率的增加。总之,根据心血管昼夜节律和个体生物钟类型优化峰值体力活动的时间可能是一个潜在的治疗靶点,可以带来额外的健康益处。