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A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behavior.

Michael KebedeAnnie Green HowardYumeng RenBlake AnuskiewiczChongzhi DiMelissa A TroesterKelly R Evenson
Published in: PloS one (2024)
This review explored the application of LCA to physical activity and sedentary behavior and identified areas of improvement for future studies leveraging LCA. LCA was used to identify unique groupings as a data reduction tool, to combine self-report and accelerometry, and to combine different physical activity intensities and sedentary behavior in one LCA model or separate models.
Keyphrases
  • physical activity
  • body mass index
  • sleep quality
  • electronic health record
  • current status
  • machine learning
  • depressive symptoms
  • case control