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Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry
Peak oxygen uptake (V′(O(2)peak)) is recognised as the best expression of aerobic fitness. Therefore, it is essential that V′(O(2)peak) reference values are accurate for interpreting a cardiopulmonary exercise test (CPET). These values are country specific and influenced by underlying biological age...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441675/ https://www.ncbi.nlm.nih.gov/pubmed/30949491 http://dx.doi.org/10.1183/23120541.00056-2018 |
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author | Mylius, Caspar Frederik Krijnen, Wilhelmus Petrus van der Schans, Cornelis Peter Takken, Tim |
author_facet | Mylius, Caspar Frederik Krijnen, Wilhelmus Petrus van der Schans, Cornelis Peter Takken, Tim |
author_sort | Mylius, Caspar Frederik |
collection | PubMed |
description | Peak oxygen uptake (V′(O(2)peak)) is recognised as the best expression of aerobic fitness. Therefore, it is essential that V′(O(2)peak) reference values are accurate for interpreting a cardiopulmonary exercise test (CPET). These values are country specific and influenced by underlying biological ageing processes. They are normally stratified per paediatric and adult population, resulting in a discontinuity at the transition point between prediction equations. There are currently no age-related reference values available for the lifespan of individuals in the Dutch population. The aim of this study is to determine the best-fitting regression model for V′(O(2)peak) in the healthy Dutch paediatric and adult populations in relation to age. In this retrospective study, CPET cycle ergometry results of 4477 subjects without reported somatic diseases were included (907 females, age 7.9–65.0 years). Generalised additive models were employed to determine the best-fitting regression model. Cross-validation was performed against an independent dataset consisting of 3518 subjects (170 females, age 6.8–59.0 years). An additive model was the best fitting with the largest predictive accuracy in both the primary (adjusted R(2)=0.57, standard error of the estimate (see)=556.50 mL·min(−1)) and cross-validation (adjusted R(2)=0.57, see=473.15 mL·min(−1)) dataset. This study provides a robust additive regression model for V′(O(2)peak) in the Dutch population. |
format | Online Article Text |
id | pubmed-6441675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-64416752019-04-04 Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry Mylius, Caspar Frederik Krijnen, Wilhelmus Petrus van der Schans, Cornelis Peter Takken, Tim ERJ Open Res Original Articles Peak oxygen uptake (V′(O(2)peak)) is recognised as the best expression of aerobic fitness. Therefore, it is essential that V′(O(2)peak) reference values are accurate for interpreting a cardiopulmonary exercise test (CPET). These values are country specific and influenced by underlying biological ageing processes. They are normally stratified per paediatric and adult population, resulting in a discontinuity at the transition point between prediction equations. There are currently no age-related reference values available for the lifespan of individuals in the Dutch population. The aim of this study is to determine the best-fitting regression model for V′(O(2)peak) in the healthy Dutch paediatric and adult populations in relation to age. In this retrospective study, CPET cycle ergometry results of 4477 subjects without reported somatic diseases were included (907 females, age 7.9–65.0 years). Generalised additive models were employed to determine the best-fitting regression model. Cross-validation was performed against an independent dataset consisting of 3518 subjects (170 females, age 6.8–59.0 years). An additive model was the best fitting with the largest predictive accuracy in both the primary (adjusted R(2)=0.57, standard error of the estimate (see)=556.50 mL·min(−1)) and cross-validation (adjusted R(2)=0.57, see=473.15 mL·min(−1)) dataset. This study provides a robust additive regression model for V′(O(2)peak) in the Dutch population. European Respiratory Society 2019-04-01 /pmc/articles/PMC6441675/ /pubmed/30949491 http://dx.doi.org/10.1183/23120541.00056-2018 Text en Copyright ©ERS 2019 http://creativecommons.org/licenses/by-nc/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. |
spellingShingle | Original Articles Mylius, Caspar Frederik Krijnen, Wilhelmus Petrus van der Schans, Cornelis Peter Takken, Tim Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry |
title | Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry |
title_full | Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry |
title_fullStr | Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry |
title_full_unstemmed | Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry |
title_short | Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry |
title_sort | peak oxygen uptake reference values for cycle ergometry for the healthy dutch population: data from the lowlands fitness registry |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441675/ https://www.ncbi.nlm.nih.gov/pubmed/30949491 http://dx.doi.org/10.1183/23120541.00056-2018 |
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