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Author (up) Loe, H.; Nes, B.M.; Wisloff, U. url  doi
  Title Predicting VO2peak from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway Type Journal Article
  Year 2016 Publication PLoS One Abbreviated Journal PloS one  
  Volume 11 Issue 1 Pages e0144873  
  Keywords Adult; Body Weight; *Exercise Test; Female; Heart Rate; Humans; Linear Models; Male; Middle Aged; *Models, Biological; Norway; Oxygen Consumption/*physiology; Reproducibility of Results  
  Abstract PURPOSE: Peak oxygen uptake (VO2peak) is seldom assessed in health care settings although being inversely linked to cardiovascular risk and all-cause mortality. The aim of this study was to develop VO2peak prediction models for men and women based on directly measured VO2peak from a large healthy population. METHODS: VO2peak prediction models based on submaximal- and peak performance treadmill work were derived from multiple regression analysis. 4637 healthy men and women aged 20-90 years were included. Data splitting was used to generate validation and cross-validation samples. RESULTS: The accuracy for the peak performance models were 10.5% (SEE = 4.63 mLkg(-1)min(-1)) and 11.5% (SEE = 4.11 mLkg(-1)min(-1)) for men and women, respectively, with 75% and 72% of the variance explained. For the submaximal performance models accuracy were 14.1% (SEE = 6.24 mLkg(-1)min(-1)) and 14.4% (SEE = 5.17 mLkg(-1)min(-1)) for men and women, respectively, with 55% and 56% of the variance explained. The validation and cross-validation samples displayed SEE and variance explained in agreement with the total sample. Cross-classification between measured and predicted VO2peak accurately classified 91% of the participants within the correct or nearest quintile of measured VO2peak. CONCLUSION: Judicious use of the exercise prediction models presented in this study offers valuable information in providing a fairly accurate assessment of VO2peak, which may be beneficial for risk stratification in health care settings.  
  Corporate Author Thesis  
  Publisher Place of Publication K.G. Jebsen Center of Exercise in Medicine at Department of Circulation and Medical Imaging, Norwegi Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Loe, HenrikNes, Bjarne MWisloff, UlrikengResearch Support, Non-U.S. Gov't2016/01/23 06:00PLoS One. 2016 Jan 21;11(1):e0144873. doi: 10.1371/journal.pone.0144873. eCollection 2016. Approved no  
  Call Number HUNT @ maria.stuifbergen @ Loe2016 Serial 1767  
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