Literature DB >> 29203319

Critical power: How different protocols and models affect its determination.

Felipe Mattioni Maturana1, Federico Y Fontana2, Silvia Pogliaghi2, Louis Passfield3, Juan M Murias4.   

Abstract

In cycling, critical power (CP) and work above CP (W') can be estimated through linear and nonlinear models. Despite the concept of CP representing the upper boundary of sustainable exercise, overestimations may be made as the models possess inherent limitations and the protocol design is not always appropriate.
OBJECTIVES: To measure and compare CP and W' through the exponential (CPexp), 3-parameter hyperbolic (CP3-hyp), 2-parameter hyperbolic (CP2-hyp), linear (CPlinear), and linear 1/time (CP1/time) models, using different combinations of TTE trials of different durations (approximately 1-20min).
DESIGN: Repeated measures.
METHODS: Thirteen healthy young cyclists (26±3years; 69.0±9.2kg; 174±10cm; 60.4±5.9mLkg-1min-1) performed five TTE trials on separate days. CP and W' were modeled using two, three, four, and/or five trials. All models were compared against a criterion method (CP3-hyp with five trials; confirmed using the leaving-one-out cross-validation analysis) using smallest worthwhile change (SWC) and concordance correlation coefficient (CCC) analyses.
RESULTS: CP was considerably overestimated when only trials lasting less than 10min were included, independent of the mathematical model used. Following CCC analysis, a number of alternative methods were able to predict our criterion method with almost a perfect agreement. However, the application of other common approaches resulted in an overestimation of CP and underestimation of W', typically these methods only included TTE trials lasting less than 12min.
CONCLUSIONS: Estimations from CP3-hyp were found to be the most accurate, independently of TTE range. Models that include two trials between 12 and 20min provide good agreement with the criterion method (for both CP and W').
Copyright © 2017 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Keywords:  Exercise intensity domains; Linear model; Nonlinear model; Power–time relationship; Time-to-exhaustion

Mesh:

Year:  2017        PMID: 29203319     DOI: 10.1016/j.jsams.2017.11.015

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  17 in total

1.  Establishing the V̇o2 versus constant-work-rate relationship from ramp-incremental exercise: simple strategies for an unsolved problem.

Authors:  Danilo Iannetta; Rafael de Almeida Azevedo; Daniel A Keir; Juan M Murias
Journal:  J Appl Physiol (1985)       Date:  2019-10-03

2.  Experimental validation of the 3-parameter critical power model in cycling.

Authors:  Giovanni Vinetti; Anna Taboni; Paolo Bruseghini; Stefano Camelio; Matteo D'Elia; Nazzareno Fagoni; Christian Moia; Guido Ferretti
Journal:  Eur J Appl Physiol       Date:  2019-01-29       Impact factor: 3.078

Review 3.  Determination of Critical Power Using Different Possible Approaches among Endurance Athletes: A Review.

Authors:  Lucie Lipková; Michal Kumstát; Ivan Struhár
Journal:  Int J Environ Res Public Health       Date:  2022-06-21       Impact factor: 4.614

Review 4.  A critical review of critical power.

Authors:  Raffy Dotan
Journal:  Eur J Appl Physiol       Date:  2022-03-18       Impact factor: 3.346

5.  Critical speed estimated by statistically appropriate fitting procedures.

Authors:  Davide Malatesta; Fabio Borrani; Aurélien Patoz; Romain Spicher; Nicola Pedrani
Journal:  Eur J Appl Physiol       Date:  2021-04-03       Impact factor: 3.078

6.  Cardiorespiratory and metabolic determinants during moderate and high resistance exercise intensities until exhaustion using dynamic leg press: comparison with critical load.

Authors:  V M Arakelian; C L Goulart; R G Mendes; F C Caruso; V Baldissera; R Arena; A Borghi-Silva
Journal:  Braz J Med Biol Res       Date:  2018-10-11       Impact factor: 2.590

Review 7.  The maximal metabolic steady state: redefining the 'gold standard'.

Authors:  Andrew M Jones; Mark Burnley; Matthew I Black; David C Poole; Anni Vanhatalo
Journal:  Physiol Rep       Date:  2019-05

8.  Relationship Between the Critical Power Test and a 20-min Functional Threshold Power Test in Cycling.

Authors:  Bettina Karsten; Luca Petrigna; Andreas Klose; Antonino Bianco; Nathan Townsend; Christoph Triska
Journal:  Front Physiol       Date:  2021-01-22       Impact factor: 4.566

9.  Peak Running Velocity or Critical Speed Under Field Conditions: Which Best Predicts 5-km Running Performance in Recreational Runners?

Authors:  Diogo Hilgemberg Figueiredo; Diego Hilgemberg Figueiredo; Francisco de Assis Manoel; Fabiana Andrade Machado
Journal:  Front Physiol       Date:  2021-07-06       Impact factor: 4.566

10.  Elevated baseline work rate slows pulmonary oxygen uptake kinetics and decreases critical power during upright cycle exercise.

Authors:  Richie P Goulding; Denise M Roche; Simon Marwood
Journal:  Physiol Rep       Date:  2018-07
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