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Author (up) Nes, B.M.; Gutvik, C.R.; Lavie, C.J.; Nauman, J.; Wisloff, U. url  doi
  Title Personalized Activity Intelligence (PAI) for Prevention of Cardiovascular Disease and Promotion of Physical Activity Type Journal Article
  Year 2017 Publication The American Journal of Medicine Abbreviated Journal Am J Med  
  Volume 130 Issue 3 Pages 328-336  
  Keywords Adult; Age Factors; Aged; Algorithms; Cardiovascular Diseases/mortality/*prevention & control; *Exercise; Female; Health Promotion/*methods; Humans; Male; Middle Aged; Proportional Hazards Models; Risk Assessment/*methods; Risk Factors; Sex Factors; Young Adult; Activity tracking; Cardiovascular disease mortality; Physical activity; Prevention  
  Abstract 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 cardiovascular disease mortality were estimated using Cox proportional hazard regressions. RESULTS: After >1 million person-years of observations during a mean follow-up time of 26.2 (SD 5.9) years, there were 10,062 deaths, including 3867 deaths (2207 men and 1660 women) from cardiovascular disease. Men and women with a PAI level >/=100 had 17% (95% confidence interval [CI], 7%-27%) and 23% (95% CI, 4%-38%) reduced risk of cardiovascular disease mortality, respectively, compared with the inactive groups. Obtaining >/=100 PAI was associated with significantly lower risk for cardiovascular disease mortality in all prespecified age groups, and in participants with known cardiovascular disease risk factors (all P-trends <.01). Participants who did not obtain >/=100 PAI had increased risk of dying regardless of meeting the physical activity recommendations. CONCLUSION: PAI may have a huge potential to motivate people to become and stay physically active, as it is an easily understandable and scientifically proven metric that could inform potential users of how much physical activity is needed to reduce the risk of premature cardiovascular disease death.  
  Address K.G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Faculty of Medicine, Trondheim, Norway; School of Human Movement & Nutrition Sciences, University of Queensland, St. Lucia, QLD, Australia  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0002-9343 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:27984009 Approved no  
  Call Number HUNT @ maria.stuifbergen @ Serial 1964  
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