Personalized Activity Intelligence (PAI) for Prevention of Cardiovascular Disease and Promotion of Physical Activity.

@article{Nes2017PersonalizedAI,
  title={Personalized Activity Intelligence (PAI) for Prevention of Cardiovascular Disease and Promotion of Physical Activity.},
  author={Bjarne Martens Nes and Christian R. Gutvik and Carl J. Lavie and Javaid Nauman and Ulrik Wisl\off},
  journal={The American journal of medicine},
  year={2017},
  volume={130 3},
  pages={328-336}
}
PURPOSE To derive and validate a single metric of activity tracking that associates with lower risk of cardiovascular disease mortality. METHODS We derived an algorithm, Personalized Activity Intelligence (PAI), using the HUNT Fitness Study (n = 4631), and validated it in the general HUNT population (n = 39,298) aged 20-74 years. The PAI was divided into three sex-specific groups (≤50, 51-99, and ≥100), and the inactive group (0 PAI) was used as the referent. Hazard ratios for all-cause and… CONTINUE READING
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