Literature DB >> 9562222

The critical power function is dependent on the duration of the predictive exercise tests chosen.

D Bishop1, D G Jenkins, A Howard.   

Abstract

The linear relationship between work accomplished (W(lim)) and time to exhaustion (t(lim)) can be described by the equation: W(lim) = a + CP x t(lim). Critical power (CP) is the slope of this line and is thought to represent a maximum rate of ATP synthesis without exhaustion, presumably an inherent characteristic of the aerobic energy system. The present investigation determined whether the choice of predictive tests would elicit significant differences in the estimated CP. Ten female physical education students completed, in random order and on consecutive days, five all-out predictive tests at preselected constant-power outputs. Predictive tests were performed on an electrically-braked cycle ergometer and power loadings were individually chosen so as to induce fatigue within approximately 1-10 mins. CP was derived by fitting the linear W(lim)-t(lim) regression and calculated three ways: 1) using the first, third and fifth W(lim)-t(lim) coordinates (I135), 2) using coordinates from the three highest power outputs (I123; mean t(lim) = 68-193 s) and 3) using coordinates from the lowest power outputs (I345; mean t(lim) = 193-485 s). Repeated measures ANOVA revealed that CPI123 (201.0+/-37.9W) > CPI135 (176.1+/-27.6W) > CPI345 (164.0+/-22.8W) (P<0.05). When the three sets of data were used to fit the hyperbolic Power-t(lim) regression, statistically significant differences between each CP were also found (P<0.05). The shorter the predictive trials, the greater the slope of the W(lim)-t(lim) regression; possibly because of the greater influence of 'aerobic inertia' on these trials. This may explain why CP has failed to represent a maximal, sustainable work rate. The present findings suggest that if CP is to represent the highest power output that an individual can maintain "for a very long time without fatigue" then CP should be calculated over a range of predictive tests in which the influence of aerobic inertia is minimised.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9562222     DOI: 10.1055/s-2007-971894

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


  26 in total

Review 1.  Methods to determine aerobic endurance.

Authors:  Laurent Bosquet; Luc Léger; Patrick Legros
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

2.  Maximal lactate steady state, respiratory compensation threshold and critical power.

Authors:  J Dekerle; B Baron; L Dupont; J Vanvelcenaher; P Pelayo
Journal:  Eur J Appl Physiol       Date:  2003-03-04       Impact factor: 3.078

3.  On the use of isoperformance curves for profiling and identification of training needs.

Authors:  Stuart Jolly
Journal:  Eur J Appl Physiol       Date:  2012-03-13       Impact factor: 3.078

4.  Critical velocity, anaerobic distance capacity, maximal instantaneous velocity and aerobic inertia in sprint and endurance young swimmers.

Authors:  Rodrigo Zacca; Bruno München Wenzel; Jeferson Steffanello Piccin; Nilson Romeu Marcilio; André Luiz Lopes; Flávio Antônio de Souza Castro
Journal:  Eur J Appl Physiol       Date:  2010-04-23       Impact factor: 3.078

Review 5.  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

6.  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

7.  Vmax estimate from three-parameter critical velocity models: validity and impact on 800 m running performance prediction.

Authors:  Laurent Bosquet; Antoine Duchene; François Lecot; Grégory Dupont; Luc Leger
Journal:  Eur J Appl Physiol       Date:  2006-02-09       Impact factor: 3.078

8.  A mathematical model for quantifying training.

Authors:  Philip R Hayes; Mike D Quinn
Journal:  Eur J Appl Physiol       Date:  2009-05-26       Impact factor: 3.078

9.  Validity of critical frequency test for measuring table tennis aerobic endurance through specific protocol.

Authors:  Alessandro M Zagatto; Marcelo Papoti; Claudio A Gobatto
Journal:  J Sports Sci Med       Date:  2008-12-01       Impact factor: 2.988

10.  Anaerobic capacity may not be determined by critical power model in elite table tennis players.

Authors:  Alessandro M Zagatto; Marcelo Papoti; Claudio A Gobatto
Journal:  J Sports Sci Med       Date:  2008-03-01       Impact factor: 2.988

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.