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Int J Sports Med 2001; 22(5): 350-355
DOI: 10.1055/s-2001-15644
Training and Testing

© Georg Thieme Verlag Stuttgart · New York

Impact of Starting Strategy on Cycling Performance

C. 0. Mattern, R. W. Kenefick, R. Kertzer, T. J. Quinn
  • University of New Hampshire, Department of Kinesiology, Exercise Physiology Laboratory, Durham, NH, USA
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Publication Date:
31 December 2001 (online)

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In order to determine an optimal starting technique, the first four-min of two 20 km time trials (TT) were manipulated. Thirteen competitive, male cyclists (22.7 ± 0.8 yr, 180.6 ± 2.2 cm; 77.1 ± 2.8 kg; 8.3 ± 0.7 % fat; 4.9 ± 0.2 l × min-1, 71.7 + 1.4 % of V˙O2max) performed three, 20 km TTs. The pace of the first TT was self-selected (SS). Min 1 - 4 of the subsequent, randomly assigned TTs were performed 15 % below and 15 % above the average power output (PO) of min 1 - 4 of the SS TT, subjects then completed the TT as quickly as possible. As a percent change from the SS TT, the 15 % below TT was (p < 0.05) faster than 15 % above TT. Lactic acid values at min 4 of the 15 % below TT (4.87 ± 0.73 mM × l-1) were lower (p < 0.05) than both SS TT (9.78 ± 1.05 mM × l-1) and 15 % above TT (11.54 ± 1.00 mM × l-1). Following min 4 to the finish there were no differences in VE, HR, or RPE. However, V˙O2, V˙O2 with respect to lactic acid threshold, and PO were all elevated in the 15 % below TT as compared to both SS TT and 15 % above TT. The initially high LA resulting from the starting strategies of the SS TT and 15 % above TT may have reduced the work capacity of active muscle.

Key words:

Pace, lactic acid threshold, power output, cyclists.

References

  • 1 Astrand P and Rodahl K. Textbook of work physiology. Physiological bases of exercise. New York; McGraw-Hill Book Company 1986: 120
    Google Scholar
  • 2 Beaver W L, Wasserman K, Whipp B J. Improved detection of lactate threshold during exercise using a log - log transformation.  J Appl Physiol. 1985;  59 1936-1940
    PubMedGoogle Scholar
  • 3 Borg G. Perceived exertion as an indicator of somatic stress.  Scand J Rehab Med. 1970;  3 92 - 98
    PubMedGoogle Scholar
  • 4 Borg G. Psychophysical bases of perceived exertion.  Med Sci Sports. Exerc 1982;  14 377-381
    PubMedGoogle Scholar
  • 5 Brooks G A, Fahey T D, White T P. Exercise Physiology: Human Bioenergetics and its Applications. Mountain View, CA; Mayfield Publishing Company 1996: 705
    Google Scholar
  • 6 Cane J, Seldman B, Sowash J, Otto R M, Wygand J. A comparison of the CompuTrainer load simulator and traditional cycle ergometry.  Med Sci Sports Exerc. 1996;  22 S208
    PubMedGoogle Scholar
  • 7 Coyle E F, Feltner M E, Kautz S A, Hamilton M T, Montain S J, Baylor A M, Abraham L D, Petrek G W. Physiological and biomechanical factors associated with elite endurance cycling performance.  Med Sci Sports Exerc. 1990;  23 93-107
    PubMedGoogle Scholar
  • 8 Coyle E F, Martin W H, Ehsani A A, Hagberg J M, Bloomfield S A, Sinacore D R, Holloszy J O. Blood lactate threshold in some well- trained ischemic heart disease patients.  J Appl Physiol. 1983;  54 18-23
    PubMedGoogle Scholar
  • 9 Craig N P, Norton K I, Bourdon P C, Woolford S M, Stanef T, Squires B, Olds T S, Conyers R AJ, Walsh C BV. Aerobic and anaerobic indices contributing to track endurance cycling performance.  Eur J Appl Physiol. 1993;  67 150-158
    CrossrefPubMedGoogle Scholar
  • 10 Duncan G E, Howley E T, Johnson B N. Applicability of V˙O2max criteria: discontinuous versus continuous protocols.  Med Sci Sports Exerc. 1997;  29 273-278
    PubMedGoogle Scholar
  • 11 Dutka T L, Lamb G D. Effect of lactate on depolarization-induced Ca2+ release in mechanically skinned skeletal muscle fibers.  Am J Physiol Cell Physiol. 2000;  278 C517-C525
    PubMedGoogle Scholar
  • 12 Foster C, Green M A, Snyder A C, Thompson N N. Physiological responses during simulated competition.  Med Sci Sports Exerc. 1993;  25 877-882
    PubMedGoogle Scholar
  • 13 Foster C, Schrager M, Snyder A C, Thompson N N. Pacing strategy and athletic performance.  Sports Med. 1994;  17 77-85
    CrossrefPubMedGoogle Scholar
  • 14 Foster C, Snyder A C, Thompson N N, Green M A, Foley M, Schrager M. Effect of pacing strategy on cycle time trial performance.  Med Sci Sports Exerc. 1992;  25 383-388
    PubMedGoogle Scholar
  • 15 Jackson A S, Pollock M L. Generalized equations for predicting body density of man.  Brit J Nutr. 1978;  40 497-504
    CrossrefPubMedGoogle Scholar
  • 16 Loftin M, Warren B. Comparison of a simulated 16.1 km time trial, V˙O2max and related factors in cyclists with different ventilatory thresholds.  lnt J Sports Med. 1994;  15 498-503
    PubMedGoogle Scholar
  • 17 Lohman T G, Roche A F, Martorell R. Anthropometric Standardization Reference Manual. Champaign, IL; Human Kinetics Books 1988: 55-70
    Google Scholar
  • 18 Mainwood G W, Renaud J M, Mason M J. The pH dependence of the contractile response of fatigued skeletal muscle.  Can J Physiol Pharmacol. 1987;  65 648-658
    PubMedGoogle Scholar
  • 19 Maud P J, Foster C. Physiological Assessment of Human Fitness. Champaign, IL; Human Kinetics Books 1995: 58-59
    Google Scholar
  • 20 Miller F R, Manfredi T G. Physiological and anthropometrical predictors of 15 kilometer time trial cycling performance time.  Res Q Exerc Sport. 1987;  58  250-254
    PubMedGoogle Scholar
  • 21 Nichols J F, Phares S L, Buono M J. Relationship between blood lactate response to exercise and endurance performance in competitive female master cyclists.  Int J Sports Med. 1997;  18 458-463
    PubMedGoogle Scholar
  • 22 Robinson S, Robinson D, Mountjoy R J, Bullard R W. Influence of fatigue on the efficiency of men during exhausting runs.  J Appl Physiol. 1958;  12 197-201
    PubMedGoogle Scholar
  • 23 Senay L C, Kok R. Effects of training and heat acclimatization on blood plasma contents of exercising men.  J Appl Physiol. 1977;  43 591-599
    PubMedGoogle Scholar
  • 24 Siri W E. Body composition from fluid spaces. In: Brozek J, Hanschels A (eds) Analysis of methods. Techniques for Measuring Body Composition. Washington, DC; National Academy of Sciences 1961: 223-224
    Google Scholar
  • 25 Staab J S, Agnew J W, Siconolfi S F. Metabolic and performance responses to uphill and downhill running in distance runners.  Med Sci Sports Exerc. 1992;  24 124-127
    PubMedGoogle Scholar
  • 26 Stanley W C, Gertz E W, Wisneski J A, Morris D L, Neese R A, Brooks G A. Systemic lactate kinetics during graded exercise in man.  Am J Physiol Endocrinol Metab. 1985;  249 E595-E602
    PubMedGoogle Scholar
  • 27 Van lngen Schenau G J, de Koning J J, de Groot G. A simulation of speed skating performances based on an equation of power production and power dissipation.  Med Sci Sports Exerc. 1990;  22 718 -728
    PubMedGoogle Scholar
  • 28 Van lngen Schenau G J, de Koning J J, de Groot G. The distribution of anaerobic energy in 1000 and 4000 metre cycling bouts.  lnt J Sports Med. 1992;  13 447-451
    PubMedGoogle Scholar
  • 29 Vavra J. Distance freestyle pacing techniques.  Swimming Technique.. 1976;  12 117-125
    PubMedGoogle Scholar
  • 30 Wilber R L, Zawadzki K M, Kearney J T, Shannon M P, Disalvo D. Physiological profiles of elite off-road and road cyclists.  Med Sci Sports Exerc. 1997;  8 1090-1094
    PubMedGoogle Scholar

 R. W. Kenefick, Ph. D.

The University of New Hampshire
Department of Kinesiology

New Hampshire Hall
Durham
New Hampshire 03824
USA


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