Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC Leiden, The Netherlands.
Department of Rehabilitation Medicine, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC Leiden, The Netherlands.
Eur J Prev Cardiol. 2023 Feb 14;30(3):232-240. doi: 10.1093/eurjpc/zwac239.
Little is known about the impact of daily physical activity timing (here referred to as 'chronoactivity') on cardiovascular disease (CVD) risk. We aimed to examined the associations between chronoactivity and multiple CVD outcomes in the UK Biobank.
physical activity data were collected in the UK-Biobank through triaxial accelerometer over a 7-day measurement period. We used K-means clustering to create clusters of participants with similar chronoactivity irrespective of the mean daily intensity of the physical activity. Multivariable-adjusted Cox-proportional hazard models were used to estimate hazard ratios (HRs) comparing the different clusters adjusted for age and sex (model 1), and baseline cardiovascular risk factors (model 2). Additional stratified analyses were done by sex, mean activity level, and self-reported sleep chronotype. We included 86 657 individuals (58% female, mean age: 61.6 [SD: 7.8] years, mean BMI: 26.6 [4.5] kg/m2). Over a follow-up period of 6 years, 3707 incident CVD events were reported. Overall, participants with a tendency of late morning physical activity had a lower risk of incident coronary artery disease (HR: 0.84, 95%CI: 0.77, 0.92) and stroke (HR: 0.83, 95%CI: 0.70, 0.98) compared to participants with a midday pattern of physical activity. These effects were more pronounced in women (P-value for interaction = 0.001). We did not find evidence favouring effect modification by total activity level and sleep chronotype.
Irrespective of total physical activity, morning physical activity was associated with lower risks of incident cardiovascular diseases, highlighting the potential importance of chronoactivity in CVD prevention.
人们对日常体力活动时间(以下简称“时间生物学”)对心血管疾病(CVD)风险的影响知之甚少。本研究旨在英国生物库中研究时间生物学与多种 CVD 结局的相关性。
通过三轴加速度计在 7 天的测量期间收集 UK-Biobank 的体力活动数据。我们使用 K-均值聚类方法创建了参与者的聚类,这些参与者的时间生物学相似,而不论体力活动的日常平均强度如何。多变量调整的 Cox 比例风险模型用于估计不同聚类的危险比(HR),这些聚类是通过年龄和性别(模型 1)以及基线心血管危险因素(模型 2)进行调整后得到的。还按性别、平均活动水平和自我报告的睡眠时型进行了分层分析。我们纳入了 86657 名参与者(58%为女性,平均年龄:61.6[SD:7.8]岁,平均 BMI:26.6[4.5]kg/m2)。在 6 年的随访期间,报告了 3707 例 CVD 事件。总体而言,与具有中午体力活动模式的参与者相比,上午晚些时候进行体力活动的参与者发生冠心病(HR:0.84,95%CI:0.77,0.92)和中风(HR:0.83,95%CI:0.70,0.98)的风险较低。这些作用在女性中更为明显(交互作用 P 值=0.001)。我们没有发现总活动水平和睡眠时型对作用修饰有有利影响的证据。
无论总体力活动水平如何,上午的体力活动与较低的 CVD 发生率风险相关,这突出了时间生物学在 CVD 预防中的潜在重要性。