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Updated: Aug 7, 2026
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Determining the Contribution of the Energy Systems During Exercise
Published on: March 20, 2012
Relationship between record time and maximal oxygen consumption in middle-distance running
1Laboratory of Human Applied Physiology, Centre for the Biochemistry of Oxygen, Sart Tilman, ISEP, Liège, Belgium.
Summary
Faster race times correlate with higher maximal oxygen uptake (VO2max) in male athletes. This study developed predictive equations for record times based on VO2max, confirming a strong inverse relationship.
Area of Science:
- Exercise Physiology
- Sports Science
- Biophysics
Background:
- Maximal oxygen uptake (VO2max) is a key indicator of aerobic fitness.
- Understanding the relationship between VO2max and running performance is crucial for athletic training and evaluation.
- Previous research has explored correlations between physiological parameters and athletic performance.
Purpose of the Study:
- To investigate the relationship between record time (tr) and maximal oxygen uptake (VO2max) in male students.
- To develop predictive mathematical models for running performance based on VO2max.
- To validate these models using established physiological principles.
Main Methods:
- Collected record times from 69 male physical education students participating in 800m and 1500m races.
- Applied exponential regression analysis to establish the relationship between tr and VO2max.
- Utilized a mathematical model based on the energy conservation principle in supramaximal running.
Main Results:
- A significant inverse relationship was found between record time (tr) and maximal oxygen uptake (VO2max).
- Two exponential equations were derived to predict tr from VO2max for 1500m and 800m races.
- Calculated record times showed a high correlation with measured record times (P < 0.001).
Conclusions:
- The established exponential equations accurately predict running record times based on VO2max.
- The findings support the interpretation of the tr = f(VO2max) relationship through a model of energy conservation in running.
- This research provides a valuable tool for assessing and predicting athletic performance in middle-distance running.
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