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Int J Sports Med 2008; 29(9): 770-777
DOI: 10.1055/s-2007-989317
Training & Testing

© Georg Thieme Verlag KG Stuttgart · New York

Physiological and Neuromuscular Responses of Competitive Cyclists during a Simulated Self-Paced Interval Training Session

V. Villerius1 , S. Duc1 , F. Grappe1
  • 1Laboratoire de Mécanique Appliquée Robert Chaléat (Equipe Biomécanique et Mécanismes), Institut FEMTO ST , (UMR CNRS 6174), Besançon, France
Further Information

Publication History

accepted after revision October 4, 2007

Publication Date:
17 December 2007 (online)

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Abstract

Responses of twelve competitive cyclists performing an interval training session, consisting of three successive 10-min self-paced exercise bouts separated by two 15-min active recovery periods, were studied. Power output (PO), heart rate, pedaling cadence, ventilatory variables, overall ratings of perceived exertion (RPE) and electromyographic (EMG) activity of the vastus lateralis, vastus medialis, biceps femoris and medial hamstrings were recorded during each exercise bout. Mean PO (p < 0.05) decreased significantly across the self-paced bouts, while RPE (p < 0.01) increased significantly. PO and EMG activity did not show significant changes between the 3rd and 9th minute of each self-paced bout. Every self-paced bout showed an oxygen uptake (V˙O2) slow component between the 3rd and 9th minute and there was no effect of bout order on the magnitude of the V˙O2 slow component. This study reveals that during an interval training session, moderately trained competitive cyclists are able to repeat three 10-min self-paced exercise bouts with only a slight decrease in PO (∼ 3 %) and by maintaining unchanged physiological and neuromuscular responses. Moreover, the V˙O2 slow component during each exercise bout was not related to changes in muscle activity, as every exercise bout was performed at a muscular work steady state with a constant PO.

Key words

cycling - performance - pacing - perceived exertion - EMG - V˙O2 slow component

References

  • 1 Achten J, Jeukendrup A E. Heart rate monitoring: applications and limitations.  Sports Med. 2003;  33 517-538
    CrossrefPubMedGoogle Scholar
  • 2 Ansley L, Schabort E, St. Clair Gibson A, Lambert M I, Noakes T D. Regulation of pacing strategies during successive 4-km time trials.  Med Sci Sports Exerc. 2004;  36 1819-1825
    CrossrefPubMedGoogle Scholar
  • 3 Barstow T J, Jones A M, Nguyen P H, Casaburi R. Influence of muscle fiber type and pedal frequency on oxygen uptake kinetics of heavy exercise.  J Appl Physiol. 1996;  81 1642-1650
    CrossrefPubMedGoogle Scholar
  • 4 Belcastro A N, Bonen A. Lactic acid removal rates during controlled and uncontrolled recovery exercise.  J Appl Physiol. 1975;  39 932-936
    CrossrefPubMedGoogle Scholar
  • 5 Bermudez N, Evans P J, Ploutz-Snyder L, Fernhall B. Physiological contributors to the slow component of oxygen uptake kinetics during high intensity cycling exercise.  Med Sci Sports Exerc. 2004;  36 S10
    PubMedGoogle Scholar
  • 6 Bertucci W, Duc S, Villerius V, Grappe F. Validity and reliability of the Axiom PowerTrain cycle ergometer when compared with an SRM powermeter.  Int J Sports Med. 2005;  26 59-65
    Article in Thieme ConnectPubMedGoogle Scholar
  • 7 Borg G. Psychophysical bases of perceived exertion.  Med Sci Sports Exerc. 1982;  14 377-381
    PubMedGoogle Scholar
  • 8 Borrani F, Candau R, Millet G Y, Perrey S, Fuchslocher J, Rouillon J D. Is the V˙O2 slow component dependent on progressive recruitment of fast-twitch fibers in trained runners?.  J Appl Physiol. 2001;  90 2212-2220
    CrossrefPubMedGoogle Scholar
  • 9 Burnley M, Doust J H, Ball D, Jones A M. Effects of prior heavy exercise on V˙O2 kinetics during heavy exercise are related to changes in muscle activity.  J Appl Physiol. 2002;  93 167-174
    CrossrefPubMedGoogle Scholar
  • 10 Davis J A. Anaerobic threshold: a review of the concept and directions for future research.  Med Sci Sports Exerc. 1985;  17 6-18
    PubMedGoogle Scholar
  • 11 Davis J M, Bailey S P. Possible mechanisms of central nervous system fatigue during exercise.  Med Sci Sports Exerc. 1997;  29 45-57
    PubMedGoogle Scholar
  • 12 Duc S, Betik A C, Grappe F. EMG activity does not change during a time trial in competitive cyclists.  Int J Sports Med. 2005;  26 145-150
    Article in Thieme ConnectPubMedGoogle Scholar
  • 13 Farina F. Interpretation of the surface electromyogram in dynamic contractions.  Exerc Sport Sci Rev. 2006;  34 121-127
    CrossrefPubMedGoogle Scholar
  • 14 Groslambert A, Grappe F, Bertucci W, Perrey S, Girard A J, Rouillon J D. A perceptive individual time trial performed by triathletes to estimate the anaerobic threshold. A preliminary study.  J Sports Med Phys Fitness. 2004;  44 147-156
    PubMedGoogle Scholar
  • 15 Hermansen L, Stensvold I. Production and removal of lactate during exercise in man.  Acta Physiol Scand. 1972;  86 191-201
    CrossrefPubMedGoogle Scholar
  • 16 Hettinga F J, De Koning J J, Broersen F T, Van Geffen P, Foster C. Pacing strategy and the occurrence of fatigue in 4000-m cycling time trials.  Med Sci Sports Exerc. 2006;  38 1484-1491
    CrossrefPubMedGoogle Scholar
  • 17 Hickey M S, Costill D L, McConell G K, Widrick J J, Tanaka H. Day to day variation in time trial cycling performances.  Int J Sports Med. 1992;  13 467-470
    Article in Thieme ConnectPubMedGoogle Scholar
  • 18 Hug F, Bendahan D, Le Fur Y, Cozzone P J, Grélot L. Heterogeneity of muscle recruitment pattern during pedaling in professional road cyclists: a magnetic resonance imaging and electromyography study.  Eur J Appl Physiol. 2004;  92 334-342
    PubMedGoogle Scholar
  • 19 Jeukendrup A E, Van Diemen A. Heart rate monitoring during training and competition in cyclists.  J Sports Sci. 1998;  16 S91-S99
    CrossrefPubMedGoogle Scholar
  • 20 Jeukendrup A E, Martin J. Improving cycling performance: how should we spend our time and money?.  Sports Med. 2001;  31 559-569
    CrossrefPubMedGoogle Scholar
  • 21 Jones S M, Passfield L. The dynamic calibration of bicycle power measuring cranks. Haake SJ The Engineering of Sport. Oxford, GB; Blackwell Science 1998: 265-274
    Google Scholar
  • 22 Kay D, Marino F E, Cannon J, St. Clair Gibson A, Lambert M I, Noakes T D. Evidence for neuromuscular fatigue during high-intensity cycling in warm, humid conditions.  Eur J Appl Physiol. 2001;  84 115-121
    CrossrefPubMedGoogle Scholar
  • 23 Koppo K, Bouckaert J. In humans the oxygen uptake slow component is reduced by prior exercise of high as well as low intensity.  Eur J Appl Physiol. 2000;  83 559-565
    CrossrefPubMedGoogle Scholar
  • 24 Koppo K, Jones A M, Bouckaert J. Effect of prior heavy arm and leg exercise on V˙O2 kinetics during heavy leg exercise.  Eur J Appl Physiol. 2003;  88 593-600
    CrossrefPubMedGoogle Scholar
  • 25 Krustrup P, Soderlund K, Mohr M, Bangsbo J. The slow component of oxygen uptake during intense, sub-maximal exercise in man is associated with additional fibre recruitment.  Pflugers Arch. 2004;  447 855-866
    CrossrefPubMedGoogle Scholar
  • 26 Kuipers H, Verstappen F TJ, Keizer H A, Geurten P, Van Kranenburg G. Variability of aerobic performance in the laboratory and its physiologic correlates.  Int J Sports Med. 1985;  6 197-201
    Article in Thieme ConnectPubMedGoogle Scholar
  • 27 Laursen P B, Jenkins D G. The scientific basis for high-intensity interval training. Optimising training programmes and maximising performance in highly trained endurance athletes.  Sports Med. 2002;  32 53-73
    CrossrefPubMedGoogle Scholar
  • 28 Lucía A, Hoyos J, Chicharro J L. The slow component of V˙O2 in professional cyclists.  Br J Sports Med. 2000;  34 367-374
    CrossrefPubMedGoogle Scholar
  • 29 Martin J C, Milliken D L, Cobb J E, McFadden K L, Coggan A R. Validation of a mathematical model for road cycling power.  J Appl Biomech. 1998;  14 276-291
    PubMedGoogle Scholar
  • 30 Mattern C O, Kenefick R W, Kertzer R, Quinn T J. Impact of starting strategy on cycling performance.  Int J Sports Med. 2001;  22 350-355
    Article in Thieme ConnectPubMedGoogle Scholar
  • 31 Perrey S, Betik A, Candau R, Rouillon J D, Hughson R L. Comparison of oxygen uptake kinetics during concentric and eccentric cycle exercise.  J Appl Physiol. 2001;  91 2135-2142
    CrossrefPubMedGoogle Scholar
  • 32 Perrey S, Grappe F, Girard A, Bringard A, Groslambert A, Bertucci W, Rouillon J D. Physiological and metabolic responses of triathletes to a simulated 30-min time-trial in cycling at self-selected intensity.  Int J Sports Med. 2003;  24 138-143
    Article in Thieme ConnectPubMedGoogle Scholar
  • 33 Prilutsky B I, Gregory R J. Analysis of muscle coordination strategies in cycling.  Trans Rehabil Eng. 2000;  8 362-370
    PubMedGoogle Scholar
  • 34 Saunders M J, Evans E M, Arngrimsson S A, Allison J D, Warren G L, Cureton K J. Muscle activation and the slow component rise in oxygen uptake during cycling.  Med Sci Sports Exerc. 2000;  32 2040-2045
    CrossrefPubMedGoogle Scholar
  • 35 Scheuermann B W, Hoetling B D, Noble M L, Barstow T J. The slow component of O2 uptake is not accompanied by changes in muscle EMG during repeated bouts of heavy exercise in humans.  J Physiol. 2001;  531 245-256
    CrossrefPubMedGoogle Scholar
  • 36 Shinohara M, Moritani T. Increase in neuromuscular activity and oxygen uptake during heavy exercise.  Ann Physiol Anthropol. 1992;  11 257-262
    CrossrefPubMedGoogle Scholar
  • 37 St. Clair Gibson A, Lambert M I, Noakes T D. Neural control of force output during maximal and submaximal exercise.  Sports Med. 2001;  31 637-650
    CrossrefPubMedGoogle Scholar
  • 38 St. Clair Gibson A, Schabort E J, Noakes T D. Reduced neuromuscular activity and force generation during prolonged cycling.  Am J Physiol Regulatory Integrative Comp Physiol. 2001;  281 R187-R196
    CrossrefPubMedGoogle Scholar
  • 39 St. Clair Gibson A, Lambert E V, Rauch L HG, Tucker R, Baden D A, Foster C, Noakes T D. The role of information processing between the brain and peripheral physiological systems in pacing and perception of effort.  Sports Med. 2006;  36 705-722
    CrossrefPubMedGoogle Scholar
  • 40 Taylor A D, Brooks R, Smith P, Humphries B B. Myo-electric evidence of peripheral muscle fatigue during exercise in severe hypoxia: some references to m. vastus lateralis myosin heavy chain composition.  Eur J Appl Physiol. 1997;  75 151-159
    CrossrefPubMedGoogle Scholar
  • 41 Tordi N, Perrey S, Harvey A, Hughson R L. Oxygen uptake kinetics during two bouts of heavy cycling separated by fatiguing sprint exercise in humans.  J Appl Physiol. 2003;  94 533-541
    CrossrefPubMedGoogle Scholar
  • 42 Ulmer H V. Concept of an extracellular regulation of muscular metabolic rate during heavy exercise in humans by psycho-physiological feedback.  Experientia. 1996;  52 416-420
    CrossrefPubMedGoogle Scholar
  • 43 Vincent (ed) W J. Blackwell Science. Champaign, IL; Human Kinetics 1999: 163-164
    Google Scholar
  • 44 Weir J P, Beck T W, Cramer J T, Housh T J. Is fatigue all in your head? A critical review of the central governor model.  Br J Sports Med. 2006;  40 573-586
    CrossrefPubMedGoogle Scholar
  • 45 Whipp B J. The slow component of O2 uptake kinetics during heavy exercise.  Med Sci Sports Exerc. 1994;  26 1319-1326
    PubMedGoogle Scholar

 Mr.
Vincent Villerius

Institut FEMTO ST (UMR CNRS 6174)
Laboratoire de Mécanique Appliquée Robert Chaléat (Equipe Biomécanique et Mécanismes)

24, rue de l'Epitaphe

25000 Besançon

France

Phone: + 33 (0) 6 75 37 25 26

Fax: + 33 (0) 3 81 66 56 92

Email: vxvillerius@hotmail.com

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