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Equine veterinary journal. Supplement2000; (30); 586-590; doi: 10.1111/j.2042-3306.1999.tb05289.x

Hyperbolic relationship between time-to-fatigue and workload.

Abstract: The power:time-to-fatigue relationship for high-intensity exercise in man is useful in determining anaerobic work capacity. The purpose of this study was to determine the nature of this relationship in horses. Eight Standardbred horses performed 5 or 6 run-to-fatigue trials on a treadmill. Exercise intensities were chosen to induce fatigue in 30 to 240 s. The order of trials was randomised for each horse, but balanced overall for the first 4 trials. The data for power (independent variable) and time-to-fatigue (dependent variable) were tested for goodness of fit to hyperbolic, linear and exponential equations by nonlinear regression. The best fit to the data was obtained using the hyperbolic relationship t = W'(P- phi PA) where t is the time to fatigue, W' is the anaerobic work capacity, P is the power and phi PA is the critical power value. The values for W' and phi PA were 47,000 +/- 500 J and 2490 +/- 150 watts, respectively. We conclude that the power:time-to-fatigue relationship of horses is hyperbolic and that this relationship may be useful in assessing anaerobic capacity of horses.
Publication Date: 2000-02-05 PubMed ID: 10659323DOI: 10.1111/j.2042-3306.1999.tb05289.xGoogle Scholar: Lookup
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  • Journal Article

Summary

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This research aimed to understand the relationship between power exerted during high-intensity exercise and time-to-fatigue in horses, which can assist in determining their anaerobic work capacity. The study concluded that this relationship is hyperbolic and potentially helpful in assessing the anaerobic capacity of horses.

Objectives of the Study

  • The main aim of the study was to analyze how the power exerted during high-intensity exercise relates to the time until fatigue sets in for horses, a relationship that can assist in determining their anaerobic work capacity.
  • These findings were intended to improve our understanding of equine physiology, and potentially provide valuable information for training and healthcare practices for horses.

Methodology

  • The study involved eight standardbred horses, each of which performed five or six run-to-fatigue trials on a treadmill.
  • The exercise intensities were chosen to trigger fatigue within 30 to 240 seconds.
  • The order in which the horses performed the trials was randomised for each horse but balanced overall for the first four trials.
  • The data for power exerted (the independent variable) and time-to-fatigue (the dependent variable) were rigorously analysed using nonlinear regression to check for goodness of fit to hyperbolic, linear, and exponential equations.

Results of the Study

  • The best fit to the data was found using the hyperbolic relationship. A corresponding formula was deduced: t = W'(P- φPA), where ‘t’ represents the time to fatigue, ‘W” represents the anaerobic work capacity, ‘P’ represents the power, and ‘φPA’ depicts the critical power value.
  • The calculated mean values for the anaerobic work capacity (W’) and the critical power value (φPA) were 47,000 ± 500 J (joules) and 2490 ± 150 watts, respectively.

Conclusion of the Study

  • According to the findings, the relationship between power exerted during high-intensity activities and time-to-fatigue in horses is hyperbolic.
  • This hyperbolic relationship can be potentially beneficial in assessing the anaerobic work capacity of horses, which can directly influence their training and care.

Cite This Article

APA
Lauderdale MA, Hinchcliff KW. (2000). Hyperbolic relationship between time-to-fatigue and workload. Equine Vet J Suppl(30), 586-590. https://doi.org/10.1111/j.2042-3306.1999.tb05289.x

Publication

NlmUniqueID: 9614088
Country: United States
Language: English
Issue: 30
Pages: 586-590

Researcher Affiliations

Lauderdale, M A
  • School of Physical Activity and Educational Services, Ohio State University, Columbus 43210, USA.
Hinchcliff, K W

    MeSH Terms

    • Animals
    • Horses / physiology
    • Models, Biological
    • Muscle Fatigue / physiology
    • Oxygen Consumption
    • Physical Conditioning, Animal
    • Time Factors
    • Workload

    Citations

    This article has been cited 9 times.
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