Literature DB >> 18415118

Neuromuscular fatigue is greater following highly variable versus constant intensity endurance cycling.

Jean Theurel1, Romuald Lepers.   

Abstract

The present study compared neuromuscular fatigue of the knee extensor muscles following highly variable versus constant power output cycling. Ten subjects performed two 33-min cycling trials of the same average power output, in a random order. Cycling exercise was performed either at constant (CST) power output, corresponding to 70% of the maximal aerobic power (MAP), or at variable (VAR) power output with alternating high (200, 150 and 100% of MAP during 10, 15 and 20 s, respectively) and moderate (50% of MAP) power output periods. Neuromuscular tests were performed before and immediately after the two trials. Heart rate (HR) was measured during exercise and blood lactate concentration ([La]) at the end of both trials. Reductions in maximal voluntary contraction torque, voluntary activation level and peak doublet were significantly greater after VAR than after CST. HR and [La] were significantly higher during VAR than during CST. Cycling at a varying power output in comparison to constant power resulted in additional muscular fatigue that may be explained by greater anaerobic contribution and muscle solicitation during the highly variable power output protocol.

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Year:  2008        PMID: 18415118     DOI: 10.1007/s00421-008-0738-2

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


  39 in total

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Authors:  Y P Pitsiladis; A T Strachan; I Davidson; R J Maughan
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Journal:  J Physiol       Date:  1991-06       Impact factor: 5.182

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  11 in total

1.  The effect of self- even- and variable-pacing strategies on the physiological and perceptual response to cycling.

Authors:  Kevin Thomas; Mark R Stone; Kevin G Thompson; Alan St Clair Gibson; Les Ansley
Journal:  Eur J Appl Physiol       Date:  2011-12-23       Impact factor: 3.078

2.  Superior mitochondrial adaptations in human skeletal muscle after interval compared to continuous single-leg cycling matched for total work.

Authors:  Martin J MacInnis; Evelyn Zacharewicz; Brian J Martin; Maria E Haikalis; Lauren E Skelly; Mark A Tarnopolsky; Robyn M Murphy; Martin J Gibala
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Review 3.  The analysis and utilization of cycling training data.

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4.  Alterations in peripheral muscle contractile characteristics following high and low intensity bouts of exercise.

Authors:  Martyn G Morris; Helen Dawes; Ken Howells; Oona M Scott; Mary Cramp; Hooshang Izadi
Journal:  Eur J Appl Physiol       Date:  2011-05-10       Impact factor: 3.078

5.  Changes in surface EMG assessed by discrete wavelet transform during maximal isometric voluntary contractions following supramaximal cycling.

Authors:  Luis Peñailillo; Rony Silvestre; Kazunori Nosaka
Journal:  Eur J Appl Physiol       Date:  2012-09-23       Impact factor: 3.078

Review 6.  Muscle fatigue: from observations in humans to underlying mechanisms studied in intact single muscle fibres.

Authors:  Nicolas Place; Takashi Yamada; Joseph D Bruton; Håkan Westerblad
Journal:  Eur J Appl Physiol       Date:  2010-04-24       Impact factor: 3.078

7.  Respiratory compensation and blood pH regulation during variable intensity exercise in trained versus untrained subjects.

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Journal:  Eur J Appl Physiol       Date:  2009-06-10       Impact factor: 3.078

8.  Relationships between muscle fatigue characteristics and markers of endurance performance.

Authors:  Martyn G Morris; Helen Dawes; Ken Howells; Oona M Scott; Mary Cramp
Journal:  J Sports Sci Med       Date:  2008-12-01       Impact factor: 2.988

9.  Sprinting After Having Sprinted: Prior High-Intensity Stochastic Cycling Impairs the Winning Strike for Gold.

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10.  How to assess performance in cycling: the multivariate nature of influencing factors and related indicators.

Authors:  A Margherita Castronovo; Silvia Conforto; Maurizio Schmid; Daniele Bibbo; Tommaso D'Alessio
Journal:  Front Physiol       Date:  2013-05-21       Impact factor: 4.566

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