The Effect of Using Anchored Wake Time to Derive 24-h Device Measured Circadian Physical Behavior Patterns.

Autor: Granat MH; School of Health and Society, University of Salford, Salford, UK., Ahmadi MN; Faculty of Medicine and Health, Charles Perkins Centre, School of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.; Mackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia., Stamatakis E; Faculty of Medicine and Health, Charles Perkins Centre, School of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.; Mackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia., Hamer M; Division of Surgery & Interventional Science, Faculty of Medical Sciences, Institute Sport Exercise & Health, University College London, London, UK.
Jazyk: angličtina
Zdroj: Scandinavian journal of medicine & science in sports [Scand J Med Sci Sports] 2024 Jul; Vol. 34 (7), pp. e14684.
DOI: 10.1111/sms.14684
Abstrakt: Introduction: Tailoring physical activity interventions to individual chronotypes and preferences by time of day could promote more effective and sustainable behavior change; however, our understanding of circadian physical behavior patterns is very limited.
Objective: To characterize and compare 24-h physical behavior patterns expressed relative to clock time (the standard measurement of time-based on a 24-h day) versus wake-up time in a large British cohort age 46.
Methods: Data were analyzed from 4979 participants in the age 46 sweep of the 1970 British Cohort Study who had valid activPAL accelerometer data across ≥4 days. Average steps and upright time (time standing plus time stepping) per 30-min interval were determined for weekdays and weekends, both in clock time and synchronized to individual wake-up times.
Results: The mean weekday steps were 9588, and the mean weekend steps were 9354. The mean weekday upright time was 6.6 h, and the mean weekend upright time was 6.4 h. When synchronized to wake-up time, steps peaked 1 h after waking on weekdays and 2.5 h after waking on weekends. Upright time peaked immediately, in the first 30-min window, after waking on both weekdays and weekends.
Conclusions: Aligning accelerometer data to wake-up times revealed distinct peaks in stepping and upright times shortly after waking. Activity built up more gradually across clock time in the mornings, especially on weekends. Synchronizing against wake-up times highlighted the importance of circadian rhythms and personal schedules in understanding population 24-h physical behavior patterns, and this may have important implications for promoting more effective and sustainable behavior change.
(© 2024 The Author(s). Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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