Literature DB >> 10326999

The bioenergetics of optimal performances in middle-distance and long-distance track running.

A J Ward-Smith1.   

Abstract

Aspects of anaerobic and aerobic energy conversion are investigated using a mathematical model of running in conjunction with world-record statistics. Analysis of the data shows that over distances from 1500 to 10,000 m the anaerobic energy utilised is constant and independent of running distance. This result is consistent with the view that the full potential of the anaerobic capacity is available for conversion during extended periods of running; the opinions of Gollnick and Hermansen (1973) and Peronnet and Thibault (1989) that the anaerobic energy contribution declines with race duration are not corroborated. The analysis supports the finding of Peronnet and Thibault (1989) that, for running times below about T = 420 s, the maximum sustainable aerobic power is constant, and that for larger T it then declines progressively. The present analysis shows it falls by some 4.5% over 10,000 m, T approximately 1600 s, indicating that in establishing current world records at 5000 and 10,000 m athletes did not rely solely on glycogen as the source of aerobic metabolism; limited use was made of free fatty acids. For elite male runners, the anaerobic capacity and maximal aerobic power are evaluated as 1570 J/kg and 27.1 W/kg, respectively.

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Year:  1999        PMID: 10326999     DOI: 10.1016/s0021-9290(99)00029-9

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Modelling of aerobic and anaerobic energy production in middle-distance running.

Authors:  Thierry Busso; Michel Chatagnon
Journal:  Eur J Appl Physiol       Date:  2006-07-13       Impact factor: 3.078

2.  Determinants of last lap speed in paced and maximal 1500-m time trials.

Authors:  Phillip Bellinger; Wim Derave; Eline Lievens; Ben Kennedy; Blayne Arnold; Hal Rice; Clare Minahan
Journal:  Eur J Appl Physiol       Date:  2020-11-05       Impact factor: 3.078

3.  Modelling of Running Performances: Comparisons of Power-Law, Hyperbolic, Logarithmic, and Exponential Models in Elite Endurance Runners.

Authors:  H Vandewalle
Journal:  Biomed Res Int       Date:  2018-10-03       Impact factor: 3.411

  3 in total

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