dc.contributor.author | Loe, Henrik | |
dc.contributor.author | Nes, Bjarne | |
dc.contributor.author | Wisløff, Ulrik | |
dc.date.accessioned | 2020-04-24T07:16:20Z | |
dc.date.available | 2020-04-24T07:16:20Z | |
dc.date.created | 2016-12-15T13:51:54Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | PLOS ONE. 2016, 11 (1) | en_US |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | https://hdl.handle.net/11250/2652315 | |
dc.description.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 mL⋅kg-1⋅min-1) and 11.5% (SEE = 4.11 mL⋅kg-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 mL⋅kg-1⋅min-1) and 14.4% (SEE = 5.17 mL⋅kg-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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | PLOS, Public Library of Science | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Predicting VO2peak from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.volume | 11 | en_US |
dc.source.journal | PLOS ONE | en_US |
dc.source.issue | 1 | en_US |
dc.identifier.doi | 10.1371/journal.pone.0144873 | |
dc.identifier.cristin | 1413448 | |
dc.description.localcode | Copyright: © 2016 Loe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |