Literature DB >> 15241693

Fatigue and optimal conditions for short-term work capacity.

Brian R MacIntosh1, Krista Svedahl, Minhan Kim.   

Abstract

There is an optimal load and corresponding velocity at which peak power output occurs. It is reasonable to expect that these conditions will change as a result of fatigue during 30 s of all-out cycling. This study evaluated optimal velocity after 30 s of maximal isokinetic cycle ergometer exercise and tested the hypothesis that progressive adjustment of velocity (optimized) during 30 s of all-out cycling would permit greater short-term work capacity (STWC). Non-fatigued optimal cadence [NF(OC), 109.6 (2.5) rpm] was determined for ten males on an SRM ergometer using regression analysis of the torque-angular velocity relation during a 7-s maximal acceleration. Fatigued optimal cadence [73.4 (2.4) rpm] was determined in the same way, immediately after a 30-s isokinetic test at NF(OC). A subsequent trial with cadence decreasing in steps from NF(OC) to a conservative estimate of fatigued optimal cadence [83.9 (2.8) rpm] was completed to see if more work could be done with a more optimal cadence during the test. STWC was not different ( P=0.50) between the constant [23,681 (764) J] and optimized [23,679 (708) J] conditions. Another more radical progressive change in cadence with four subjects yielded the same result (no increase in STWC). Extraneous factors apparently contribute more to variability in STWC than differences between constant and adjusted optimization of conditions.

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Year:  2004        PMID: 15241693     DOI: 10.1007/s00421-004-1177-3

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


  7 in total

1.  Measurement of maximal power output in isokinetic and non-isokinetic cycling. A comparison of two methods.

Authors:  R Baron; N Bachl; R Petschnig; H Tschan; G Smekal; R Pokan
Journal:  Int J Sports Med       Date:  1999-11       Impact factor: 3.118

2.  Assessment of peak power and short-term work capacity.

Authors:  Brian R MacIntosh; Peter Rishaug; Krista Svedahl
Journal:  Eur J Appl Physiol       Date:  2002-11-29       Impact factor: 3.078

3.  Paced effort and all-out 30-second power tests.

Authors:  B R MacIntosh; P MacEachern
Journal:  Int J Sports Med       Date:  1997-11       Impact factor: 3.118

4.  Muscle function during brief maximal exercise: accurate measurements on a friction-loaded cycle ergometer.

Authors:  L M Arsac; A Belli; J R Lacour
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

5.  Effect of fatigue on maximal velocity and maximal torque during short exhausting cycling.

Authors:  O Buttelli; D Seck; H Vandewalle; J C Jouanin; H Monod
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

6.  Force-velocity relationship and maximal power on a cycle ergometer. Correlation with the height of a vertical jump.

Authors:  H Vandewalle; G Peres; J Heller; J Panel; H Monod
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1987

7.  Power output and fatigue of human muscle in maximal cycling exercise.

Authors:  N McCartney; G J Heigenhauser; N L Jones
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1983-07
  7 in total
  9 in total

1.  Influence of road incline and body position on power-cadence relationship in endurance cycling.

Authors:  Umberto Emanuele; Jachen Denoth
Journal:  Eur J Appl Physiol       Date:  2011-11-02       Impact factor: 3.078

2.  The parabolic power-velocity relationship does apply to fatigued states.

Authors:  Brian R MacIntosh; Jared R Fletcher
Journal:  Eur J Appl Physiol       Date:  2010-09-30       Impact factor: 3.078

3.  Maximal torque- and power-pedaling rate relationships for elite sprint cyclists in laboratory and field tests.

Authors:  A Scott Gardner; James C Martin; David T Martin; Martin Barras; David G Jenkins
Journal:  Eur J Appl Physiol       Date:  2007-06-12       Impact factor: 3.078

4.  Reply to: reply to: the parabolic power-velocity relationship does apply to fatigued states.

Authors:  Brian R Macintosh; Jared R Fletcher
Journal:  Eur J Appl Physiol       Date:  2011-06-18       Impact factor: 3.078

5.  Power-cadence relationship in endurance cycling.

Authors:  Umberto Emanuele; Jachen Denoth
Journal:  Eur J Appl Physiol       Date:  2011-05-15       Impact factor: 3.078

6.  Shorter constant work rate cycling tests as proxies for longer tests in highly trained cyclists.

Authors:  Chantelle du Plessis; Mark Andrews; Lachlan J G Mitchell; Jodie Cochrane Wilkie; Trish King; Anthony J Blazevich
Journal:  PLoS One       Date:  2022-05-23       Impact factor: 3.752

7.  Influence of resistive load on power output and fatigue during intermittent sprint cycling exercise in children.

Authors:  Gregory C Bogdanis; Aggeliki Papaspyrou; Apostolos Theos; Maria Maridaki
Journal:  Eur J Appl Physiol       Date:  2007-06-30       Impact factor: 3.078

Review 8.  Using Field Based Data to Model Sprint Track Cycling Performance.

Authors:  Hamish A Ferguson; Chris Harnish; J Geoffrey Chase
Journal:  Sports Med Open       Date:  2021-03-16

Review 9.  Maximal muscular power: lessons from sprint cycling.

Authors:  Jamie Douglas; Angus Ross; James C Martin
Journal:  Sports Med Open       Date:  2021-07-15
  9 in total

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