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Defining Activity Thresholds Triggering a "Stand Hour" for Apple Watch Users: Cross-Sectional Study.

Katy LyonsAlison Hau Hei ManDavid BoothGraham Rena
Published in: JMIR formative research (2024)
The findings of this study reveal the pivotal role of AE and SC measurements in the algorithm underlying the SH recording; however, our findings also suggest that a recording of an SH is influenced by more than one factor. Irrespective of the internal validity of the SH metric, it is representative of light physical activity and might, therefore, have use in encouraging individuals through various means, for example, notifications, to reduce their levels of SB.
Keyphrases
  • physical activity
  • machine learning
  • blood pressure
  • body mass index
  • deep learning
  • genome wide
  • cross sectional
  • single cell
  • depressive symptoms