Cargando…

Predicting VO(2peak) from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway

PURPOSE: Peak oxygen uptake (VO(2peak)) 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 VO(2peak) prediction models for men and women based on directly measured VO(2peak) from a large heal...

Descripción completa

Detalles Bibliográficos
Autores principales: Loe, Henrik, Nes, Bjarne M., Wisløff, Ulrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721596/
https://www.ncbi.nlm.nih.gov/pubmed/26794677
http://dx.doi.org/10.1371/journal.pone.0144873
_version_ 1782411244510117888
author Loe, Henrik
Nes, Bjarne M.
Wisløff, Ulrik
author_facet Loe, Henrik
Nes, Bjarne M.
Wisløff, Ulrik
author_sort Loe, Henrik
collection PubMed
description PURPOSE: Peak oxygen uptake (VO(2peak)) 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 VO(2peak) prediction models for men and women based on directly measured VO(2peak) from a large healthy population METHODS: VO(2peak) 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 VO(2peak) accurately classified 91% of the participants within the correct or nearest quintile of measured VO(2peak). CONCLUSION: Judicious use of the exercise prediction models presented in this study offers valuable information in providing a fairly accurate assessment of VO(2peak), which may be beneficial for risk stratification in health care settings.
format Online
Article
Text
id pubmed-4721596
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-47215962016-01-30 Predicting VO(2peak) from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway Loe, Henrik Nes, Bjarne M. Wisløff, Ulrik PLoS One Research Article PURPOSE: Peak oxygen uptake (VO(2peak)) 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 VO(2peak) prediction models for men and women based on directly measured VO(2peak) from a large healthy population METHODS: VO(2peak) 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 VO(2peak) accurately classified 91% of the participants within the correct or nearest quintile of measured VO(2peak). CONCLUSION: Judicious use of the exercise prediction models presented in this study offers valuable information in providing a fairly accurate assessment of VO(2peak), which may be beneficial for risk stratification in health care settings. Public Library of Science 2016-01-21 /pmc/articles/PMC4721596/ /pubmed/26794677 http://dx.doi.org/10.1371/journal.pone.0144873 Text en © 2016 Loe et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Loe, Henrik
Nes, Bjarne M.
Wisløff, Ulrik
Predicting VO(2peak) from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway
title Predicting VO(2peak) from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway
title_full Predicting VO(2peak) from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway
title_fullStr Predicting VO(2peak) from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway
title_full_unstemmed Predicting VO(2peak) from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway
title_short Predicting VO(2peak) from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway
title_sort predicting vo(2peak) from submaximal- and peak exercise models: the hunt 3 fitness study, norway
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721596/
https://www.ncbi.nlm.nih.gov/pubmed/26794677
http://dx.doi.org/10.1371/journal.pone.0144873
work_keys_str_mv AT loehenrik predictingvo2peakfromsubmaximalandpeakexercisemodelsthehunt3fitnessstudynorway
AT nesbjarnem predictingvo2peakfromsubmaximalandpeakexercisemodelsthehunt3fitnessstudynorway
AT wisløffulrik predictingvo2peakfromsubmaximalandpeakexercisemodelsthehunt3fitnessstudynorway