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Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study.

María ÓskarsdóttirAnna Sigridur IslindElias AugustErna Sif ArnardóttirFrançois PatouAnja M Maier
Published in: JMIR formative research (2022)
We demonstrate that >2 months' worth of self-tracking data are needed to provide a representative summary of daily activity and sleep patterns. By doing so, we challenge the current standard of 3 to 14 days for sleep quality assessment and call for the rethinking of standards when collecting data for research purposes. Seasonal patterns and daylight saving time clock change are also important aspects that need to be taken into consideration when choosing a period for collecting data and designing studies on sleep. Furthermore, we suggest using self-trackers (wearable and nearable ones) to support longer-term evaluations of sleep and physical activity for research purposes and, possibly, clinical purposes in the future.
Keyphrases
  • sleep quality
  • physical activity
  • electronic health record
  • depressive symptoms
  • big data
  • body mass index
  • cross sectional
  • machine learning
  • blood pressure
  • data analysis
  • current status
  • heart rate