Literature DB >> 17176525

The distance-time relationship over a century of running Olympic performances: A limit on the critical speed concept.

J Dekerle1, X Nesi, H Carter.   

Abstract

We analyse the evolution of the slope (critical speed) and the y-intercept (anaerobic distance capacity) of the linear distance-time relationship over a century of Olympic running performances. The distance-time relationship of each Olympic Games (1920-2004) was plotted using the performances in the 800-, 1500- and 5000-m track events. Values for critical speed and anaerobic distance capacity were determined by linear modelling. Mean performances for the 800, 1500 and 5000 m were 104.9 +/- 1.5 s (1.4%), 217.2 +/- 2.8 s (1.3%) and 808.9 +/- 18.4 s (2.3%), respectively. Critical speed improved during the first three-quarters of the twentieth century to reach a plateau in 1984. This is in accordance with the literature (Peronnet & Thibault, 1989) and suggests that "human aerobic endurance" has improved within the century (+13.4%) and tends to stabilize. Anaerobic distance capacity was highly variable over the century (coefficient of variation = 9.4%) and did not show a linear improvement over the years as has previously been suggested (Peronnet & Thibault, 1989). This could be due to an artefact in the application of the two-parameter model to only three Olympic performances. A limitation to the use of this linear mathematical model to fit physiological data may have been demonstrated.

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Year:  2006        PMID: 17176525     DOI: 10.1080/02640410500497642

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  3 in total

Review 1.  The Critical Power Model as a Potential Tool for Anti-doping.

Authors:  Michael J Puchowicz; Eliran Mizelman; Assaf Yogev; Michael S Koehle; Nathan E Townsend; David C Clarke
Journal:  Front Physiol       Date:  2018-06-06       Impact factor: 4.566

2.  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.  Calculation of Critical Speed from Raw Training Data in Recreational Marathon Runners.

Authors:  Barry Smyth; Daniel Muniz-Pumares
Journal:  Med Sci Sports Exerc       Date:  2020-12
  3 in total

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