Literature DB >> 15241715

The relationship between power and time to fatigue in cycle ergometer exercise.

D W Hill1.   

Abstract

The purpose of this study was to evaluate three critical power (P (critical)) models. Ten university students performed tests that elicited fatigue in > 2 min to approximately 10 min. Power and time data were fit to a 2-parameter hyperbolic model, a 3-parameter hyperbolic model, and a 3-parameter exponential model. Models described the power-time relationship well (R (2) > or = 0.995). However, P (critical) (209 +/- 51 W; SEE: 20 +/- 47 W) and the time constant (198 +/- 87 s; SEE: 103 +/- 246 W) from the exponential model have no obvious meaning. The 2-parameter model produced P (critical) (187 +/- 38 W) and anaerobic work capacity (20.4 +/- 9.0 kJ) that have known physiological meaning, with excellent confidence (SEE: 2 +/- 2 W and 1.0 +/- 1.0 kJ, respectively). Addition of a maximal power parameter to the 2-parameter model did not improve description of the relationship, and the third parameter was superfluous. The 2-parameter model was preferred because, for the range of exercise durations used in this study, it describes the power-relationship adequately and in a most parsimonious fashion.

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Year:  2004        PMID: 15241715     DOI: 10.1055/s-2004-815838

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  8 in total

Review 1.  The critical power and related whole-body bioenergetic models.

Authors:  R Hugh Morton
Journal:  Eur J Appl Physiol       Date:  2005-11-12       Impact factor: 3.078

2.  Validity of the two-parameter model in estimating the anaerobic work capacity.

Authors:  J Dekerle; G Brickley; A J P Hammond; J S M Pringle; H Carter
Journal:  Eur J Appl Physiol       Date:  2005-11-01       Impact factor: 3.078

3.  Modelling of aerobic and anaerobic energy production during exhaustive exercise on a cycle ergometer.

Authors:  Michel Chatagnon; Thierry Busso
Journal:  Eur J Appl Physiol       Date:  2006-06-20       Impact factor: 3.078

4.  The effects of bicycle frame geometry on muscle activation and power during a wingate anaerobic test.

Authors:  Mark D Ricard; Patrick Hills-Meyer; Michael G Miller; Timothy J Michael
Journal:  J Sports Sci Med       Date:  2006-03-01       Impact factor: 2.988

5.  Rates of performance loss and neuromuscular activity in men and women during cycling: evidence for a common metabolic basis of muscle fatigue.

Authors:  Christopher W Sundberg; Sandra K Hunter; Matthew W Bundle
Journal:  J Appl Physiol (1985)       Date:  2016-11-17

6.  The effect of dietary nitrate supplementation on the speed-duration relationship in mice with sickle cell disease.

Authors:  Scott K Ferguson; Katherine M Redinius; Julie W Harral; David I Pak; Delaney C Swindle; Daniel M Hirai; Jamie R Blackwell; Andrew M Jones; Kurt R Stenmark; Paul W Buehler; David C Irwin
Journal:  J Appl Physiol (1985)       Date:  2020-07-23

7.  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

8.  Critical speed in the rat: implications for hindlimb muscle blood flow distribution and fibre recruitment.

Authors:  Steven W Copp; Daniel M Hirai; Timothy I Musch; David C Poole
Journal:  J Physiol       Date:  2010-10-20       Impact factor: 5.182

  8 in total

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