External validation of VO2max prediction models based on recreational and elite endurance athletes.
In recent years, numerous prognostic models have been developed to predict VO2max. Nevertheless, their accuracy in endurance athletes (EA) stays mostly unvalidated. This study aimed to compare predicted VO2max (pVO2max) with directly measured VO2max by assessing the transferability of the currently...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0280897 |
_version_ | 1811176366339522560 |
---|---|
author | Szczepan Wiecha Przemysław Seweryn Kasiak Igor Cieśliński Tim Takken Tomasz Palka Beat Knechtle Pantelis Τ Nikolaidis Łukasz A Małek Marek Postuła Artur Mamcarz Daniel Śliż |
author_facet | Szczepan Wiecha Przemysław Seweryn Kasiak Igor Cieśliński Tim Takken Tomasz Palka Beat Knechtle Pantelis Τ Nikolaidis Łukasz A Małek Marek Postuła Artur Mamcarz Daniel Śliż |
author_sort | Szczepan Wiecha |
collection | DOAJ |
description | In recent years, numerous prognostic models have been developed to predict VO2max. Nevertheless, their accuracy in endurance athletes (EA) stays mostly unvalidated. This study aimed to compare predicted VO2max (pVO2max) with directly measured VO2max by assessing the transferability of the currently available prediction models based on their R2, calibration-in-the-large, and calibration slope. 5,260 healthy adult EA underwent a maximal exertion cardiopulmonary exercise test (CPET) (84.76% male; age 34.6±9.5 yrs.; VO2max 52.97±7.39 mL·min-1·kg-1, BMI 23.59±2.73 kg·m-2). 13 models have been selected to establish pVO2max. Participants were classified into four endurance subgroups (high-, recreational-, low- trained, and "transition") and four age subgroups (18-30, 31-45, 46-60, and ≥61 yrs.). Validation was performed according to TRIPOD guidelines. pVO2max was low-to-moderately associated with direct CPET measurements (p>0.05). Models with the highest accuracy were for males on a cycle ergometer (CE) (Kokkinos R2 = 0.64), females on CE (Kokkinos R2 = 0.65), males on a treadmill (TE) (Wasserman R2 = 0.26), females on TE (Wasserman R2 = 0.30). However, selected models underestimated pVO2max for younger and higher trained EA and overestimated for older and lower trained EA. All equations demonstrated merely moderate accuracy and should only be used as a supplemental method for physicians to estimate CRF in EA. It is necessary to derive new models on EA populations to include routinely in clinical practice and sports diagnostic. |
first_indexed | 2024-04-10T19:50:16Z |
format | Article |
id | doaj.art-16747e54330546c8a0bc02aacb2f2320 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-10T19:50:16Z |
publishDate | 2023-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-16747e54330546c8a0bc02aacb2f23202023-01-28T05:30:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01181e028089710.1371/journal.pone.0280897External validation of VO2max prediction models based on recreational and elite endurance athletes.Szczepan WiechaPrzemysław Seweryn KasiakIgor CieślińskiTim TakkenTomasz PalkaBeat KnechtlePantelis Τ NikolaidisŁukasz A MałekMarek PostułaArtur MamcarzDaniel ŚliżIn recent years, numerous prognostic models have been developed to predict VO2max. Nevertheless, their accuracy in endurance athletes (EA) stays mostly unvalidated. This study aimed to compare predicted VO2max (pVO2max) with directly measured VO2max by assessing the transferability of the currently available prediction models based on their R2, calibration-in-the-large, and calibration slope. 5,260 healthy adult EA underwent a maximal exertion cardiopulmonary exercise test (CPET) (84.76% male; age 34.6±9.5 yrs.; VO2max 52.97±7.39 mL·min-1·kg-1, BMI 23.59±2.73 kg·m-2). 13 models have been selected to establish pVO2max. Participants were classified into four endurance subgroups (high-, recreational-, low- trained, and "transition") and four age subgroups (18-30, 31-45, 46-60, and ≥61 yrs.). Validation was performed according to TRIPOD guidelines. pVO2max was low-to-moderately associated with direct CPET measurements (p>0.05). Models with the highest accuracy were for males on a cycle ergometer (CE) (Kokkinos R2 = 0.64), females on CE (Kokkinos R2 = 0.65), males on a treadmill (TE) (Wasserman R2 = 0.26), females on TE (Wasserman R2 = 0.30). However, selected models underestimated pVO2max for younger and higher trained EA and overestimated for older and lower trained EA. All equations demonstrated merely moderate accuracy and should only be used as a supplemental method for physicians to estimate CRF in EA. It is necessary to derive new models on EA populations to include routinely in clinical practice and sports diagnostic.https://doi.org/10.1371/journal.pone.0280897 |
spellingShingle | Szczepan Wiecha Przemysław Seweryn Kasiak Igor Cieśliński Tim Takken Tomasz Palka Beat Knechtle Pantelis Τ Nikolaidis Łukasz A Małek Marek Postuła Artur Mamcarz Daniel Śliż External validation of VO2max prediction models based on recreational and elite endurance athletes. PLoS ONE |
title | External validation of VO2max prediction models based on recreational and elite endurance athletes. |
title_full | External validation of VO2max prediction models based on recreational and elite endurance athletes. |
title_fullStr | External validation of VO2max prediction models based on recreational and elite endurance athletes. |
title_full_unstemmed | External validation of VO2max prediction models based on recreational and elite endurance athletes. |
title_short | External validation of VO2max prediction models based on recreational and elite endurance athletes. |
title_sort | external validation of vo2max prediction models based on recreational and elite endurance athletes |
url | https://doi.org/10.1371/journal.pone.0280897 |
work_keys_str_mv | AT szczepanwiecha externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT przemysławsewerynkasiak externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT igorcieslinski externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT timtakken externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT tomaszpalka externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT beatknechtle externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT pantelistnikolaidis externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT łukaszamałek externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT marekpostuła externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT arturmamcarz externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes AT danielsliz externalvalidationofvo2maxpredictionmodelsbasedonrecreationalandeliteenduranceathletes |