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Journal Article

A three-minute all-out test performed in a remote setting does not provide a valid estimate of the maximum metabolic steady state

Ed Maunder; Jeffrey A. Rothschild; Andrius Ramonas; Matthieu Delcourt; Andrew E. Kilding
European Journal of Applied Physiology · Vol. 122, Issue 11 · pp. 2385-2392 · 2022

Abstract

Purpose The three-minute all-out test (3MT), when performed on a laboratory ergometer in a linear mode, can be used to estimate the heavy–severe-intensity transition, or maximum metabolic steady state (MMSS), using the end-test power output. As the 3MT only requires accurate measurement of power output and time, it is possible the 3MT could be used in remote settings using personal equipment without supervision for quantification of MMSS. Methods The aim of the present investigation was to determine the reliability and validity of remotely performed 3MTs (3MT R ) for estimation of MMSS. Accordingly, 53 trained cyclists and triathletes were recruited to perform one familiarisation and two experimental 3MT R trials to determine its reliability. A sub-group ( N = 10) was recruited to perform three-to-five 30 min laboratory-based constant-work rate trials following completion of one familiarisation and two experimental 3MT R trials. Expired gases were collected throughout constant-work rate trials and blood lactate concentration was measured at 10 and 30 min to determine the highest power output at which steady-state $${{\dot{V}O}}_{2}$$ V ˙ O 2 (MMSS- $${{\dot{V}O}}_{2}$$ V ˙ O 2 ) and blood lactate (MMSS-[La − ]) were achieved. Results The 3MT R end-test power (EP remote ) was reliable (coefficient of variation, 4.5% [95% confidence limits, 3.7, 5.5%]), but overestimated MMSS (EP remote , 283 ± 51 W; MMSS- $${{\dot{V}O}}_{2}$$ V ˙ O 2 , 241 ± 46 W, P = 0.0003; MMSS-[La − ], 237 ± 47 W, P = 0.0003). This may have been due to failure to deplete the finite work capacity above MMSS during the 3MT R . Conclusion These results suggest that the 3MT R should not be used to estimate MMSS in endurance-trained cyclists.

Bibliographic Information

JournalEuropean Journal of Applied Physiology
PublisherSpringer
Publication Date2022-11-01
Publication Year2022
Volume122
Issue11
Pages2385-2392
Document TypeJournal Article
Print ISSN1439-6319
eISSN1439-6327
DOI10.1007/s00421-022-05020-3

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NARA Access Coverage1928-01-01~Current
Journal Homepagehttps://www.springer.com/journal/421
Publisher PageOpen Publisher Page
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