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Lung function parameters improve prediction of VO(2peak) in an elderly population: The Generation 100 study

Peak oxygen uptake (VO(2peak)) is an indicator of cardiovascular health and a useful tool for risk stratification. Direct measurement of VO(2peak) is resource-demanding and may be contraindicated. There exist several non-exercise models to estimate VO(2peak) that utilize easily obtainable health par...

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Autores principales: Hassel, Erlend, Stensvold, Dorthe, Halvorsen, Thomas, Wisløff, Ulrik, Langhammer, Arnulf, Steinshamn, Sigurd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358855/
https://www.ncbi.nlm.nih.gov/pubmed/28319189
http://dx.doi.org/10.1371/journal.pone.0174058
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author Hassel, Erlend
Stensvold, Dorthe
Halvorsen, Thomas
Wisløff, Ulrik
Langhammer, Arnulf
Steinshamn, Sigurd
author_facet Hassel, Erlend
Stensvold, Dorthe
Halvorsen, Thomas
Wisløff, Ulrik
Langhammer, Arnulf
Steinshamn, Sigurd
author_sort Hassel, Erlend
collection PubMed
description Peak oxygen uptake (VO(2peak)) is an indicator of cardiovascular health and a useful tool for risk stratification. Direct measurement of VO(2peak) is resource-demanding and may be contraindicated. There exist several non-exercise models to estimate VO(2peak) that utilize easily obtainable health parameters, but none of them includes lung function measures or hemoglobin concentrations. We aimed to test whether addition of these parameters could improve prediction of VO(2peak) compared to an established model that includes age, waist circumference, self-reported physical activity and resting heart rate. We included 1431 subjects aged 69-77 years that completed a laboratory test of VO(2peak), spirometry, and a gas diffusion test. Prediction models for VO(2peak) were developed with multiple linear regression, and goodness of fit was evaluated. Forced expiratory volume in one second (FEV(1)), diffusing capacity of the lung for carbon monoxide and blood hemoglobin concentration significantly improved the ability of the established model to predict VO(2peak). The explained variance of the model increased from 31% to 48% for men and from 32% to 38% for women (p<0.001). FEV(1), diffusing capacity of the lungs for carbon monoxide and hemoglobin concentration substantially improved the accuracy of VO(2peak) prediction when added to an established model in an elderly population.
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spelling pubmed-53588552017-04-06 Lung function parameters improve prediction of VO(2peak) in an elderly population: The Generation 100 study Hassel, Erlend Stensvold, Dorthe Halvorsen, Thomas Wisløff, Ulrik Langhammer, Arnulf Steinshamn, Sigurd PLoS One Research Article Peak oxygen uptake (VO(2peak)) is an indicator of cardiovascular health and a useful tool for risk stratification. Direct measurement of VO(2peak) is resource-demanding and may be contraindicated. There exist several non-exercise models to estimate VO(2peak) that utilize easily obtainable health parameters, but none of them includes lung function measures or hemoglobin concentrations. We aimed to test whether addition of these parameters could improve prediction of VO(2peak) compared to an established model that includes age, waist circumference, self-reported physical activity and resting heart rate. We included 1431 subjects aged 69-77 years that completed a laboratory test of VO(2peak), spirometry, and a gas diffusion test. Prediction models for VO(2peak) were developed with multiple linear regression, and goodness of fit was evaluated. Forced expiratory volume in one second (FEV(1)), diffusing capacity of the lung for carbon monoxide and blood hemoglobin concentration significantly improved the ability of the established model to predict VO(2peak). The explained variance of the model increased from 31% to 48% for men and from 32% to 38% for women (p<0.001). FEV(1), diffusing capacity of the lungs for carbon monoxide and hemoglobin concentration substantially improved the accuracy of VO(2peak) prediction when added to an established model in an elderly population. Public Library of Science 2017-03-20 /pmc/articles/PMC5358855/ /pubmed/28319189 http://dx.doi.org/10.1371/journal.pone.0174058 Text en © 2017 Hassel 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
Hassel, Erlend
Stensvold, Dorthe
Halvorsen, Thomas
Wisløff, Ulrik
Langhammer, Arnulf
Steinshamn, Sigurd
Lung function parameters improve prediction of VO(2peak) in an elderly population: The Generation 100 study
title Lung function parameters improve prediction of VO(2peak) in an elderly population: The Generation 100 study
title_full Lung function parameters improve prediction of VO(2peak) in an elderly population: The Generation 100 study
title_fullStr Lung function parameters improve prediction of VO(2peak) in an elderly population: The Generation 100 study
title_full_unstemmed Lung function parameters improve prediction of VO(2peak) in an elderly population: The Generation 100 study
title_short Lung function parameters improve prediction of VO(2peak) in an elderly population: The Generation 100 study
title_sort lung function parameters improve prediction of vo(2peak) in an elderly population: the generation 100 study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358855/
https://www.ncbi.nlm.nih.gov/pubmed/28319189
http://dx.doi.org/10.1371/journal.pone.0174058
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