Management of metabolic resources for a 20-km cycling time-trial using different types of pacing

Authors

  • Dineshen Chuckravanen University of Northumbria at Newcastle, Mauritius
  • Sujan Rajbhandari University of Oxford, United Kingdom

DOI:

https://doi.org/10.14198/jhse.2015.101.08

Keywords:

Aerobic system, Anaerobic system, Hazard score index, Homeostatic disturbance, Pacing strategy, Sports performance

Abstract

Pacing is crucial for improving human performance in time-trial physical exercise. This study examined the effect of different types of pacing (self pace, variable pace and even pace) on the energy expended from the aerobic system and anaerobic system for a 20-km time-trial cycling exercise. In addition, the degree of homeostatic disturbance caused by each type of pacing was analysed to find out the effect of pacing on the human body. Furthermore, the relationship between the Ratings of Perceived Exertion (RPE) and blood lactate concentration was investigated, and associated to these types of pacing. Here, in this study, we showed that even pace was aerobic energy system dependent, and variable pace was anaerobic energy system dependent. Also, the Hazard Score index demonstrated that the variable pace time-trial caused the greatest homeostatic disturbance and there was a positive relationship between RPE and blood lactate concentration.

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References

Berger RL and Casella G (2001). Statistical Inference (2nd ed.). Duxbury Press, p.374.

Borg G. (1970). Perceived Exertion as an indicator of somatic stress. Scandinavian Journal of Rehabilitation Medicine, 2(2), 92-98.

Borg G. (1998). Borg's Perceived Exertion and Pain Scales. Champaign, IL: Human Kinetics.

Brooks G.A (2001). Lactate doesn't necessarily cause fatigue: why are we surprised? J. Physiol., 536(1):1. https://doi.org/10.1111/j.1469-7793.2001.t01-1-00001.x

Chavarren, J., & Calbet J. A. (1999). Cycling efficiency and pedalling frequency in road cyclists. Eur. J. Appl. Occup. Physiol, 80, 555-563. https://doi.org/10.1007/s004210050634

Cohen, J., Cohen P., West, S.G., & Aiken, L.S. (2002). Applied multiple regression/correlation analysis for the behavioral sciences, 3rd ed. Psychology Press.

de Koning JJ, Foster C, Bakkum A, Kloppenburg S, Thiel C, et al. (2011) 'Regulation of Pacing Strategy during Athletic Competition', PLoS ONE 6(1): e15863. https://doi.org/10.1371/journal.pone.0015863

Fasano, G., & Franceschini, A. (1987). A multidimensional version of the Kolmogorov–Smirnov test. Monthly Notices of the Royal Astronomical Society, ISSN 0035-8711, 225, 155–170. https://doi.org/10.1093/mnras/225.1.155

Fitzgerald M (2009). Racing Weight: How to Get Lean for Peak Performance. VeloPress, Competitor Group, Inc., USA.

Flynn M.G., Pizza F.X., Boone J.B., Andres F.F., Michaud T.A. and Rodriguez-Zayas (1994). Indices of training stress during competitive running and swimming seasons. Int. Journal of Sports Medicine, 15, 21-26. https://doi.org/10.1055/s-2007-1021014

Hettinga F.J., deKoning J.J., Broersen F.T., van Geffen P., Foster C. (2006). Pacing strategy and the occurrence of fatigue in 4000m cycling time trials. Med. Sci. Sports Exerc., 38, 1484-1491. https://doi.org/10.1249/01.mss.0000228956.75344.91

Hettinga F.J., deKoning J.J., Meijer E., Teunissen L., Foster C. (2007). The effect of pacing strategy on energy expenditure during a 1500 m cycling time trial. Med. Sci. Sports Exerc., 39, 2212–2218. https://doi.org/10.1249/mss.0b013e318156e8d4

Lomax, R.G., & Hahs-Vaughn D. L (2012). Statistical Concepts: A Second Course (4th ed.). Routledge.

Lopes, R.H.C., Reid I., Hobson P.R. (2007). The two-dimensional Kolmogorov-Smirnov test. XI International Workshop on Advanced Computing and Analysis Techniques in Physics Research (April 23–27, 2007) Amsterdam, the Netherlands.

Moseley, L., and Jeukendrup, A. (2001). The reliability of cycling efficiency. Med Sci. Sports Exerc., 33, 621-627. https://doi.org/10.1097/00005768-200104000-00017

Palmer G.S, Borghouts L.B., Noakes, T.D., Hawley J.A. (1999). Metabolic and performance responses to constant –load vs. variable-intensity exercise in trained cyclists. J. Appl. Physiol., 87, 1186-1196. https://doi.org/10.1152/jappl.1999.87.3.1186

Robergs R.A., Ghiasvand F., Parker D. (2004). Biochemistry of exercise-induced metabolic acidosis. Am. J. Physiol. Regul. Integr. Comp Physiol., 287(3), 502-16. https://doi.org/10.1152/ajpregu.00114.2004

Sawilowsky S. (2002). Fermat, Schubert, Einstein, and Behrens-Fisher: The probable difference between two Means when σ12 ≠ σ22. Journal of Modern Applied Statistical Methods, 1(2), 461–472. https://doi.org/10.22237/jmasm/1036109940

Ulmer H-V. (1996). Concept of an extracellular regulation of muscular metabolic rate during heavy exercise in humans by psychophysiological feedback. Experimentia, 52, 416-20. https://doi.org/10.1007/BF01919309

Yerkes R.M., Dodson J.D. (1908). The relation of strength of stimulus to rapidity of habit-formation. Journal of Comparative Neurology and Psychology, 18, 459–482. https://doi.org/10.1002/cne.920180503

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Published

2015-10-04

How to Cite

Chuckravanen, D., & Rajbhandari, S. (2015). Management of metabolic resources for a 20-km cycling time-trial using different types of pacing. Journal of Human Sport and Exercise, 10(1), 95–103. https://doi.org/10.14198/jhse.2015.101.08

Issue

Section

Sport Medicine, Nutrition & Health