Sheridan, Sinead, McCarren, Andrew ORCID: 0000-0002-7297-0984, Gray, Cleona, Murphy, Ronan, Harrison, Michael, Wong, Stephen and Moyna, Niall ORCID: 0000-0003-1061-8528 (2021) Maximal oxygen consumption and oxygen uptake efficiency in adolescent males. Journal of Exercise Science andFitness, 19 (2). pp. 75-80. ISSN 1728-869X
Abstract
Background/Objective
Measures of oxygen uptake efficiency (OUE) have been used to evaluate
cardiorespiratory fitness (CRF) in adolescents unable to perform maximal exercise.
The oxygen uptake efficiency slope (OUES) and oxygen uptake efficiency plateau
(OUEP) have been proposed as surrogates for maximal oxygen consumption (V̇O
2max ). We assessed the validity of the OUES and OUEP as predictors of V̇O 2max
in healthy male adolescents.
Methods
Sixty-three healthy male adolescents aged 15.40 ± 0.34 years underwent an
incremental treadmill test to determine V̇O 2max , OUES and OUEP. OUE throughout
the test was assessed by dividing each V̇O 2 value by the corresponding minute
ventilation (V̇ E ) value. OUEP was determined as the 90 sec average highest
consecutive values for OUE. OUES was determined using data up to the ventilatory
threshold (VT) by calculating the slope of the linear relation between V̇O 2 and the
logarithm of V̇ E .
Results
Limits of agreement for V̇O 2max predicted by OUES (± 13.3 mL.kg -1 .min -1 )
and OUEP (± 16.7 mL.kg -1 .min -1 ) relative to V̇O 2max were wide and a
magnitude bias was found for OUES and OUEP as predictors of V̇O 2max (p<0.001).
Conclusion
The OUES and OUEP do not accurately predict V̇O 2max in male adolescents and
should not replace V̇O 2max when assessing CRF in this population.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Exercise testing; Oxygen uptake efficiency slope; Oxygen uptake efficiency plateau; Maximal oxygen consumption; Adolescents; Fitness |
Subjects: | Medical Sciences > Exercise Medical Sciences > Health |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance Research Institutes and Centres > INSIGHT Centre for Data Analytics |
Publisher: | Elsevier |
Official URL: | https://dx.doi.org/10.1016/j.jesf.2020.11.001 |
Copyright Information: | © 2021 Elsevier |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 26567 |
Deposited On: | 10 Jan 2022 16:35 by Andrew Mccarren . Last Modified 26 Jul 2022 09:26 |
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