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Is high aerobic workload at work associated with leisure time physical activity and sedentary behaviour among blue-collar workers? A compositional data analysis based on accelerometer data.

Charlotte Lund RasmussenJavier Palarea-AlbaladejoMette KorshøjNidhi GuptaKirsten Nabe-NielsenAndreas HoltermannMarie Birk Jørgensen
Published in: PloS one (2019)
Our result highlights the need for considering work-related barriers for an active leisure time in high-risk populations. Longitudinal studies are warranted to disentangle the relationship between physically demanding work characteristics and leisure time movement behaviours in such populations.
Keyphrases
  • physical activity
  • data analysis
  • sleep quality
  • genetic diversity
  • electronic health record
  • high intensity
  • machine learning
  • deep learning