Leota Josh, Czeisler Mark É, Le Flora, Presby David M, Capodilupo Emily R, Scott Hannah, Wiley Joshua F, Drummond Sean P A, Rajaratnam Shantha M W, Facer-Childs Elise R
Sleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia.
Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115.
Proc Natl Acad Sci U S A. 2025 Jul 8;122(27):e2420846122. doi: 10.1073/pnas.2420846122. Epub 2025 Jun 30.
Sleep and physical activity (PA) are pillars of health. However, the temporal dynamics between these two behaviors remain poorly understood. This research aims to examine the independent and interactive between- and within-person associations of sleep duration and sleep onset timing on next-day PA duration in two large, longitudinal samples of adults under free-living conditions. In the primary study, participants (N = 19,963; 5,995,080 person-nights) wore a validated biometric device (WHOOP) for 1 y (01/09/2021 to 31/08/2022). Objective sleep and PA metrics were derived from the wrist-worn device. Generalized additive mixed models assessed between- and within-person associations between sleep and PA variables, adjusted for age, sex, Body Mass Index, weekday/weekend, seasonal effects, biometric feedback, and autocorrelated errors. Between participants, longer sleep duration and later sleep onset timing were associated with decreased moderate-to-vigorous PA (MVPA) and overall PA duration ( < 0.001). Within participants, sleeping shorter-than-usual and falling asleep earlier-than-usual were associated with increased next-day MVPA and overall PA, whereas sleeping longer-than-usual, or falling asleep later-than-usual, showed the opposite relationship ( < 0.001). Next-day MVPA duration was highest following earlier-than-usual sleep onset timing with one's typical sleep duration. Results were consistent but smaller in magnitude in the external validation study (N = 5,898; 635,477 person-nights) using Fitbit data from the All of Us Research Program. Individuals may sacrifice time in one health behavior for time in the other. Interventions promoting exercise and holistic public health messaging should consider the temporal dynamics between sleep and next-day PA outcomes.
睡眠和身体活动(PA)是健康的支柱。然而,这两种行为之间的时间动态关系仍知之甚少。本研究旨在考察在自由生活条件下的两个大型成年人纵向样本中,睡眠时间和入睡时间与次日PA时长之间的个体间及个体内的独立关联和交互作用。在主要研究中,参与者(N = 19963;5995080人/夜)佩戴经过验证的生物识别设备(WHOOP)长达1年(2021年9月1日至2022年8月31日)。客观的睡眠和PA指标来自腕戴设备。广义相加混合模型评估了睡眠和PA变量之间的个体间及个体内关联,并对年龄、性别、体重指数、工作日/周末、季节效应、生物识别反馈和自相关误差进行了调整。在参与者之间,较长的睡眠时间和较晚的入睡时间与中度至剧烈PA(MVPA)及总体PA时长的减少相关(<0.001)。在个体内部,睡眠时间比平时短以及入睡时间比平时早与次日MVPA和总体PA的增加相关,而睡眠时间比平时长或入睡时间比平时晚则呈现相反的关系(<0.001)。在睡眠时间为个人典型时长的情况下,入睡时间比平时早之后的次日MVPA时长最高。在使用来自“我们所有人研究计划(All of Us Research Program)”的Fitbit数据进行的外部验证研究(N = 5898;635477人/夜)中,结果一致,但幅度较小。个体可能会在一种健康行为上牺牲时间以换取另一种健康行为的时间。促进锻炼的干预措施和全面的公共卫生信息应考虑睡眠与次日PA结果之间的时间动态关系。