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Sprint running: a new energetic approach

di Prampero, P. E., Fusi, S., Sepulcri, L., Morin, J. B., Belli, A., Antonutto, G.·2005·Journal of Experimental Biology
DOI 10.1242/jeb.01700
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Abstract

SUMMARY: The speed of the initial 30 m of an all-out run from a stationary start on a flat track was determined for 12 medium level male sprinters by means of a radar device. The peak speed of 9.46±0.19 m s–1 (mean± s.d.) was attained after about 5 s, the highest forward acceleration (af), attained immediately after the start,amounting to 6.42±0.61 m s–2. During acceleration, the runner's body (assumed to coincide with the segment joining the centre of mass and the point of contact foot terrain) must lean forward, as compared to constant speed running, by an angle α=arctang/af(g=acceleration of gravity). The complement (90–α) is the angle, with respect to the horizontal, by which the terrain should be tilted upwards to bring the runner's body to a position identical to that of constant speed running. Therefore, accelerated running is similar to running at constant speed up an `equivalent slope' ES=tan(90–α). Maximum ES was 0.643±0.059. Knowledge of ES allowed us to estimate the energy cost of sprint running (Csr, J kg–1m–1) from literature data on the energy cost measured during uphill running at constant speed. Peak Csr was 43.8±10.4 J kg–1 m–1; its average over the acceleration phase (30 m) was 10.7±0.59 J kg–1 m–1, as compared with 3.8 for running at constant speed on flat terrain. The corresponding metabolic powers (in W kg–1) amounted to 91.9±20.5 (peak) and 61.0±4.7(mean).

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  1. Alvarez-Ramirez, J. (2002). An improved Peronnet–Thibault mathematical model of human running performance. Eur. J. Appl. Physiol.86,517-525. · DOI
  2. Arsac, L. M. (2002). Effects of altitude on the energetics of human best performances in 100 m running: a theoretical analysis. Eur. J. Appl. Physiol.87, 78-84. · DOI
  3. Arsac, L. M. and Locatelli, E. (2002). Modelling the energetics of 100-m running by using speed curves of world champions. J. Appl. Physiol.92,1781-1788. · DOI
  4. Brüggemann, G.-P. and Glad, B. (1990). Time Analysis of the Sprint Events. In Scientific Research Project at the Games of the XXIVth Olympiad-Seoul 1988. Final report (ed. G.-P. Brüggemann and B. Glad), pp. 11-89. London: IAAF Publication.
  5. Cavagna, G. A., Komarek, L. and Mazzoleni, S.(1971). The mechanics of sprint running. J. Physiol.217,709-721. · DOI
  6. Chelly, S. M. and Denis, C. (2001). Leg power and hopping stiffness: relationship with sprint running performance. Med. Sci. Sports Exerc.33,326-333. · DOI
  7. di Prampero, P. E. (2003). Factors limiting maximal performance in humans. Eur. J. Appl. Physiol.90,420-429. · DOI · Paper page
  8. di Prampero, P. E. and Ferretti, G. (1999). The energetics of anaerobic muscle metabolism: a reappraisal of older and recent concepts. Respir. Physiol.118,103-115. · DOI
  9. di Prampero, P. E., Atchou, G., Brückner, J. C. and Moia,C. (1986). The energetics of endurance running. Eur. J. Appl. Physiol.55,259-266. · DOI
  10. di Prampero, P. E., Capelli, C., Pagliaro, P., Antonutto, G.,Girardis, M., Zamparo, P. and Soule, R. G. (1993). Energetics of best performances in middle-distance running. J. Appl. Physiol.74,2318-2324. · DOI
  11. Fenn, W. O. (1930a). Frictional and kinetic factors in the work of sprint running. Am. J. Physiol.92,583-611. · DOI
  12. Fenn, W. O. (1930b). Work against gravity and work due to velocity changes in running Am. J. Physiol.93,433-462. · DOI
  13. Henry, F. M. (1954). Time-velocity equations and oxygen requirements of `all-out' and `steady-pace' running. Res. Q. Exerc. Sport25,167-177. · DOI
  14. Kersting, U. G. (1998). Biomechanical Analysis of the Sprinting Events. In Biomechanical Research Project. Athens 1997. Final report (ed. G.-P. Brüggemann, D. Koszewski and H. Müller), pp. 12-61. Oxford: Meyer & Meyer Sport.
  15. Lacour, J. R., Padilla-Magunacelaya, S.,Barthélémy, J. C. and Dormois, D.(1990). The energetics of middle-distance running. Eur. J. Appl. Physiol.60, 38-43. · DOI
  16. Margaria, R. (1975). Fisiologia Muscolare e Meccanica del Movimento, pp.104-105. Milano: Mondadori EST.
  17. Margaria, R., Cerretelli, P., Aghemo, P. and Sassi, G.(1963). Energy cost of running. J. Appl. Physiol.18,367-370. · DOI · Paper page
  18. Margaria, R., Aghemo, P. and Rovelli, E.(1966). Measurement of muscular power (anaerobic) in man. J. Appl. Physiol.21,1662-1664. · DOI
  19. Mero, A., Komi, P. V. and Gregor, R. J. (1992). Biomechanics of sprint running. A review. Sports Med.13,376-392. · DOI
  20. Minetti, A. E., Ardigò, L. P. and Saibene, F.(1994). Mechanical determinants of the minimum energy cost of gradient running in humans. J. Exp. Biol. 195,211-225. · DOI · Paper page
  21. Murase, Y., Hoshikawa, T., Yasuda, N., Ikegami, Y. and Matsui,H. (1976). Analysis of the changes in progressive speed during 100-meter dash. In Biomechanics V-B (ed. P. V. Komi), pp. 200-207. Baltimore: University Park Press.
  22. Péronnet, F. and Thibault, G. (1989). Mathematical analysis of running performance and world running records. J. Appl. Physiol.67,453-465. · DOI
  23. Pugh, L. G. C. E. (1971). The influence of wind resistance in running and walking and the mechanical efficency of work against horizontal or vertical forces. J. Physiol.213,255-276. · DOI
  24. Summers, R. L. (1997). Physiology and biophysics of 100-m sprint. News Physiol. Sci.12,131-136. · DOI
  25. van Ingen Schenau, G. J., de Koning, J. J. and de Groot, G.(1994). Optimization of sprinting performance in running, cycling and speed skating. Sports Med.17,259-275. · DOI
  26. Volkov, N. I. and Lapin, V. I. (1979). Analysis of the velocity curve in sprint running. Med Sci. Sports11,332-337. · DOI
  27. Ward-Smith, A. J. (1985). A mathematical theory of running based on the first law of thermodynamics, and its application to the performance of world-class athletes. J. Biomech.18,337-349. · DOI
  28. Ward-Smith, A. J. and Mobey, A. C. (1995). Determination of physiological data from a mathematical analysis of running performance of elite female athletes.J. Sports Sci. 13,321-328. · DOI
  29. Ward-Smith, A. J. and Radford, P. F. (2000). Investigation of the kinetics of anaerobic metabolism by analysis of the performance of elite sprinters. J. Biomech.33,997-1004. · DOI
  30. Wilkie, D. R. (1980). Equations describing power input by humans as a function of duration of exercise. In Exercise Bioenergetics and Gas Exchange (ed. P. Cerretelli and B. J. Whipp), pp. 75-80. Amsterdam:Elsevier.
  31. Williams, K. R. and Cavanagh, P. R. (1987). Relationship between distance running mechanics, running economy, and performance. J. Appl. Physiol.63,1236-1245. · DOI

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Metadata

Authors
di Prampero, P. E., Fusi, S., Sepulcri, L., Morin, J. B., Belli, A., & Antonutto, G.
Affiliations
  • Section of Physiology, Department of Biomedical Sciences and MATI(Microgravity, Ageing, Training, Immobility) Centre of Excellence, University of Udine, Udine 33100, Italy
  • School of Sport Sciences, University of Udine, Gemona (Udine) 33013,Italy
  • Laboratory of Physiology, Unit PPEH (Physiology and Physiopathology of Exercise and Handicap), University of Saint-Etienne, 42005 Saint-Etienne cedex 2, France
Venue
Journal of Experimental Biology
Publisher
The Company of Biologists
Published
2005-07-15
Volume
208
Issue
14
Pages
2809-2816
ISSN
  • 1477-9145
  • 0022-0949
DOI
10.1242/jeb.01700
Cited by
319
References
1
Language
en

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