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

Malcolm H GranatMatthew N AhmadiEmmanuel StamatakisMark Hamer
Published in: Scandinavian journal of medicine & science in sports (2024)
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.
Keyphrases
  • physical activity
  • mental health
  • electronic health record
  • single cell
  • machine learning
  • deep learning
  • data analysis