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Time in human endurance models. From empirical models to physiological models.

L V Billat1, J P Koralsztein, R H Morton

  • 1Laboratoire des Sciences et Techniques des Activités Physiques et Sportives (STAPS), Université Paris 5, France. Veronique.Billat@wanadoo.fr

Sports Medicine (Auckland, N.Z.)
|July 27, 1999
PubMed
Summary

This study reviews endurance performance models, from early empirical methods to complex physiological ones. New parameters are proposed to better model the power-time relationship and explain endurance variability.

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Area of Science:

  • Sports Science
  • Human Physiology
  • Biophysics

Background:

  • Historical analysis of endurance performance research from the early 20th century.
  • Examination of empirical methods using running records and curve-fitting techniques.
  • Evolution of distance/time and power/time models for athlete characterization.

Purpose of the Study:

  • To trace the historical development of models studying the relationship between exercise intensity and endurance.
  • To critically evaluate existing theoretical models based on human bioenergetics.
  • To propose novel parameters for improved power-time relationship modeling.

Main Methods:

  • Review of historical scientific literature on athletic performance.
  • Analysis of empirical graphical and curve-fitting techniques.

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  • Critique of existing theoretical bioenergetic models.
  • Main Results:

    • Early studies relied on empirical analysis of world records.
    • Developed distance/time and power/time models to characterize endurance.
    • Current complex physiological models lack sound physiological and mathematical basis.
    • Proposed new parameters for power-time modeling.

    Conclusions:

    • Existing endurance models, both empirical and theoretical, have limitations.
    • There is a need for improved physiological and mathematical descriptions of human endurance.
    • Novel parameters can enhance the modeling of the power-time relationship and explain performance variability.