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Physiological correlates to 800 meter running performance.

J Deason1, S K Powers, J Lawler

  • 1Applied Physiology Lab, Louisiana State University, Baton Rouge.

The Journal of Sports Medicine and Physical Fitness
|December 1, 1991
PubMed
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This study found that 100m and 300m dash times are key predictors of 800m run performance. Other physiological factors like VO2max and body fat percentage play a minor role in 800m race success.

Area of Science:

  • Sports Science
  • Exercise Physiology
  • Human Performance

Background:

  • Previous research on distance running success primarily focused on events longer than 1500 meters.
  • Limited attention has been given to the physiological determinants of performance in the 800-meter run.
  • Understanding factors influencing 800m performance is crucial for targeted training strategies.

Purpose of the Study:

  • To investigate the relationship between physiological characteristics, body composition, and 800-meter run performance.
  • To identify key predictors of success in the 800-meter event.

Main Methods:

  • Eleven male track athletes participated in the study.
  • Measurements included body composition, maximal oxygen uptake (VO2max), running economy, and 100m and 300m dash times.

Related Experiment Videos

  • Stepwise multiple regression analysis was used to determine the relationship between independent variables and 800m race time.
  • Main Results:

    • A model combining 100m and 300m dash times, percent body fat, running economy, and VO2max accounted for 89% of the variance in 800m race time.
    • However, adding VO2max, body fat percentage, and running economy to a model with only 100m and 300m dash times did not significantly improve the prediction (r² = .85).
    • This suggests that sprint performance is a primary determinant of 800m race outcomes.

    Conclusions:

    • Sprint performance (100m and 300m times) is a strong predictor of 800m run performance.
    • While VO2max, body composition, and running economy are important, their contribution to predicting 800m success is less significant when sprint ability is considered.
    • Findings support the idea that anaerobic pathways significantly contribute to energy production during an 800m run.