Literature DB >> 22085979

The effect of pedalling cadence on maximal accumulated oxygen deficit.

David W Hill1, Jakob L Vingren.   

Abstract

Pedalling cadence influences the oxygen demand and the tolerable duration of severe intensity cycle ergometer exercise. Both of these variables are factors in the calculation of maximal accumulated oxygen deficit (MAOD), which is a widely accepted measure of anaerobic capacity. We were therefore interested in determining whether pedalling cadence affected the value of MAOD. Eighteen university students performed square wave cycling tests, using cadences of 60, 80, and 100 rev min(-1), at work rates selected to cause exhaustion in ~5 min. The oxygen demands for the tests were estimated by extrapolation from the steady-state oxygen uptake in two 4-min moderate intensity bouts performed using each cadence, and were greater at higher cadences. Times to exhaustion were shorter at higher cadences (368 ± 168 s at 60 rev min(-1) > 299 ± 118 s at 80 rev min(-1) > 220 ± 85 s at 100 rev min(-1)). These factors conflated to produce values for MAOD that were not affected by cadence (52 ± 5 ml kg(-1) = 52 ± 5 ml kg(-1) = 52 ± 5 ml kg(-1)). Similarly, the blood lactate concentrations measured 5 min post-exercise were not affected by the pedalling cadence (10.5 ± 2.1 mM = 10.8 ± 1.0 mM = 10.7 ± 2.0 mM). Although muscle contraction frequency influences many exercise responses, we conclude that the expression of anaerobic capacity is not affected by the choice of pedalling cadence.

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Year:  2011        PMID: 22085979     DOI: 10.1007/s00421-011-2240-5

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  21 in total

1.  The efficiency of bicycle-pedalling, as affected by speed and load.

Authors:  S Dickinson
Journal:  J Physiol       Date:  1929-06-07       Impact factor: 5.182

2.  Human critical power-oxygen uptake relationship at different pedalling frequencies.

Authors:  Tyler Barker; David C Poole; M Larry Noble; Thomas J Barstow
Journal:  Exp Physiol       Date:  2006-03-09       Impact factor: 2.969

3.  Fatigue during maximal sprint cycling: unique role of cumulative contraction cycles.

Authors:  Aleksandar Tomas; Emma Z Ross; James C Martin
Journal:  Med Sci Sports Exerc       Date:  2010-07       Impact factor: 5.411

4.  Influence of extreme pedal rates on pulmonary O(2) uptake kinetics during transitions to high-intensity exercise from an elevated baseline.

Authors:  Fred J Dimenna; Daryl P Wilkerson; Mark Burnley; Stephen J Bailey; Andrew M Jones
Journal:  Respir Physiol Neurobiol       Date:  2009-08-08       Impact factor: 1.931

5.  Effects of differing pedalling speeds on the power-duration relationship of high intensity cycle ergometry.

Authors:  L McNaughton; D Thomas
Journal:  Int J Sports Med       Date:  1996-05       Impact factor: 3.118

Review 6.  The maximal accumulated oxygen deficit method: a valid and reliable measure of anaerobic capacity?

Authors:  Dionne A Noordhof; Jos J de Koning; Carl Foster
Journal:  Sports Med       Date:  2010-04-01       Impact factor: 11.136

7.  Linear increase in optimal pedal rate with increased power output in cycle ergometry.

Authors:  J R Coast; H G Welch
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1985

8.  The oxygen uptake-power regression in cyclists and untrained men: implications for the accumulated oxygen deficit.

Authors:  S Green; B T Dawson
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1995

9.  Psychophysical bases of perceived exertion.

Authors:  G A Borg
Journal:  Med Sci Sports Exerc       Date:  1982       Impact factor: 5.411

10.  Evaluation of the Accusport Lactate Analyser.

Authors:  J W Fell; J M Rayfield; J P Gulbin; P T Gaffney
Journal:  Int J Sports Med       Date:  1998-04       Impact factor: 3.118

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  2 in total

1.  Effect of pedaling cadence on muscle oxygenation during high-intensity cycling until exhaustion: a comparison between untrained subjects and triathletes.

Authors:  Houssem Zorgati; Katia Collomp; Jan Boone; Alexandre Guimard; Olivier Buttelli; Patrick Mucci; Virgile Amiot; Fabrice Prieur
Journal:  Eur J Appl Physiol       Date:  2015-08-09       Impact factor: 3.078

2.  Prediction of the Wingate anaerobic mechanical power outputs from a maximal incremental cardiopulmonary exercise stress test using machine-learning approach.

Authors:  Efrat Leopold; Dalya Navot-Mintzer; Eyal Shargal; Sharon Tsuk; Tamir Tuller; Mickey Scheinowitz
Journal:  PLoS One       Date:  2019-03-12       Impact factor: 3.240

  2 in total

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