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European Journal of Applied Physiology

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Open Access 10-08-2022 | Original Article

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

Authors: Ed Maunder, Jeffrey A. Rothschild, Andrius Ramonas, Matthieu Delcourt, Andrew E. Kilding

Published in: European Journal of Applied Physiology | Issue 11/2022

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 \({{\dot{V}O}}_{2}\) (MMSS-\({{\dot{V}O}}_{2}\)) 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-\({{\dot{V}O}}_{2}\), 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.

Barker T, Poole DC, Noble ML, Barstow TJ (2006) Human critical power-oxygen uptake relationship at different pedalling frequencies. Exp Physiol 91:621–632. https://doi.org/10.1113/expphysiol.2005.032789CrossRefPubMed

Black MI, Jones AM, Blackwell JR et al (2017) Muscle metabolic and neuromuscular determinants of fatigue during cycling in different exercise intensity domains. J Appl Physiol 122:446–459. https://doi.org/10.1152/japplphysiol.00942.2016CrossRefPubMed

Brennan SF, Cresswell AG, Farris DJ, Lichtwark GA (2019) The effect of cadence on the mechanics and energetics of constant power cycling. Med Sci Sports Exerc 51:941–950. https://doi.org/10.1249/MSS.0000000000001863CrossRefPubMed

Burnley M, Doust JH, Vanhatalo A (2006) A 3-min all-out test to determine peak oxygen uptake and the maximal steady state. Med Sci Sports Exerc 38:1995–2003. https://doi.org/10.1249/01.mss.0000232024.06114.a6CrossRefPubMed

Coyle EF, Coggan AR, Hopper MK, Walters TJ (1988) Determinants of endurance in well-trained cyclists. J Appl Physiol 64:2622–2630. https://doi.org/10.1152/jappl.1988.64.6.2622CrossRefPubMed

Fuentes T, Ponce-González JG, Morales-Alamo D et al (2013) Isoinertial and isokinetic sprints: muscle signalling. Int J Sports Med 34:285–292. https://doi.org/10.1055/s-0032-1312583CrossRefPubMed

Goulding RP, Roche DM, Marwood S (2021) The ramp and all-out exercise test to determine critical power: validity and robustness to manipulations in body position. Eur J Appl Physiol. https://doi.org/10.1007/s00421-021-04739-9CrossRefPubMedPubMedCentral

Hoon M, Michael S, Chapman P, Areta JL (2016) A comparison of the accuracy and reliability of the Wahoo KICKR and SRM power meter. J Sci Cycl 5:11–15

Johnson TM, Sexton PJ, Placek AM et al (2011) Reliability analysis of the 3-min all-out exercise test for cycle ergometry. Med Sci Sports Exerc 43:2375–2380. https://doi.org/10.1249/MSS.0b013e318224cb0fCrossRefPubMed

Jones AM, Vanhatalo A (2017) The ‘critical power’ concept: applications to sports performance with a focus on intermittent high-intensity exercise. Sports Med 47:65–78. https://doi.org/10.1007/s40279-017-0688-0CrossRefPubMedPubMedCentral

Jones AM, Wilkerson DP, DiMenna F et al (2008) Muscle metabolic responses to exercise above and below the “critical power” assessed using 31P-MRS. Am J Physiol-Regul Integr Comp Physiol 294:R585–R593. https://doi.org/10.1152/ajpregu.00731.2007CrossRefPubMed

Jones AM, Burnley M, Black MI et al (2019) The maximal metabolic steady state: redefining the gold standard. Physiol Rep 7:1–16. https://doi.org/10.14814/phy2.14098CrossRef

Maunder E, Seiler S, Mildenhall MJ et al (2021) The importance of ‘durability’ in the physiological profiling of endurance athletes. Sports Med 51:1619–1628. https://doi.org/10.1007/s40279-021-01459-0CrossRefPubMed

Nielsen JS, Hansen EA, Sjøgaard G (2004) Pedalling rate affects endurance performance during high-intensity cycling. Eur J Appl Physiol 92:114–120. https://doi.org/10.1007/s00421-004-1048-yCrossRefPubMed

Pethick J, Winter SL, Burnley M (2020) Physiological evidence that the critical torque is a phase transition, not a threshold. Med Sci Sports Exerc 52:2390–2401. https://doi.org/10.1249/MSS.0000000000002389CrossRefPubMedPubMedCentral

Skiba PF, Chidnok W, Vanhatalo A, Jones AM (2012) Modeling the expenditure and reconstitution of work capacity above critical power. Med Sci Sports Exerc 44:1526–1532. https://doi.org/10.1249/MSS.0b013e3182517a80CrossRefPubMed

Umberger BR, Gerritsen KGM, Martin PE (2006) Muscle fiber type effects on energetically optimal cadences in cycling. J Biomech 39:1472–1479. https://doi.org/10.1016/j.jbiomech.2005.03.025CrossRefPubMed

Vanhatalo A, Doust JH, Burnley M (2007) Determination of critical power using a 3-min all-out cycling test. Med Sci Sports Exerc 39:548–555. https://doi.org/10.1249/mss.0b013e31802dd3e6CrossRefPubMed

Vanhatalo A, Doust JH, Burnley M (2008a) Robustness of a 3 min all-out cycling test to manipulations of power profile and cadence in humans. Exp Physiol 93:383–390. https://doi.org/10.1113/expphysiol.2007.039883CrossRefPubMed

Vanhatalo A, Doust JH, Burnley M (2008b) A 3-min all-out cycling test is sensitive to a change in critical power. Med Sci Sports Exerc 40:1693–1699. https://doi.org/10.1249/MSS.0b013e318177871aCrossRefPubMed

Vanhatalo A, Black MI, DiMenna FJ et al (2016) The mechanistic bases of the power–time relationship: muscle metabolic responses and relationships to muscle fibre type. J Physiol 594:4407–4423. https://doi.org/10.1113/JP271879CrossRefPubMedPubMedCentral

Wright J, Bruce-Low S, Jobson SA (2019) The 3-minute all-out cycling test is sensitive to changes in cadence using the lode Excalibur sport ergometer. J Sports Sci 37:156–162. https://doi.org/10.1080/02640414.2018.1487115CrossRefPubMed

Zadow EK, Kitic CM, Wu SSX et al (2016) Validity of power settings of the wahoo KICKR power trainer. Int J Sports Physiol Perform 11:1115–1117. https://doi.org/10.1123/ijspp.2015-0733CrossRefPubMed

Zadow EK, Kitic CM, Wu SSX, Fell JW (2018) Reliability of power settings of the wahoo KICKR power trainer after 60 hours of use. Int J Sports Physiol Perform 13:119–121. https://doi.org/10.1123/ijspp.2016-0732CrossRefPubMed

Title: A three-minute all-out test performed in a remote setting does not provide a valid estimate of the maximum metabolic steady state
Authors: Ed Maunder
Jeffrey A. Rothschild
Andrius Ramonas
Matthieu Delcourt
Andrew E. Kilding
Publication date: 10-08-2022
Publisher: Springer Berlin Heidelberg
Published in: European Journal of Applied Physiology / Issue 11/2022
Print ISSN: 1439-6319
Electronic ISSN: 1439-6327
DOI: https://doi.org/10.1007/s00421-022-05020-3

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

Abstract

Purpose

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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