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Treadmill protocols for determination of maximum oxygen uptake in runners
1Cardiac Rehabilitation Unit, Saint Francis Hospital, Hartford, Connecticut.
British Journal of Sports Medicine
|March 1, 1988
Summary
The optimal treadmill running test protocol for assessing maximal oxygen uptake (VO2 max) involves using training pace speeds and 1-minute stages. This method reduces perceived exertion and heart rate, leading to shorter testing times.
Area of Science:
- Exercise Physiology
- Sports Science
- Cardiorespiratory Fitness Assessment
Background:
- Accurate assessment of maximal oxygen uptake (VO2 max) is crucial for evaluating athletic performance and training.
- Standardized treadmill protocols are commonly used, but variations in speed and stage duration may influence test outcomes and participant experience.
Purpose of the Study:
- To compare the effects of four different treadmill testing protocols on VO2 max, exercise duration, perceived exertion, and heart rate in runners.
- To identify an optimal protocol that balances physiological validity with participant comfort and efficiency.
Main Methods:
- Ten runners completed four treadmill protocols: common speed (P1, P2), training pace (P3), and self-selected speed (P4).
- Stage grade increased by 2.5% every 2 minutes (P1: 1-minute stages).
- Measurements included VO2 max, treadmill time, rate of perceived exertion, and heart rate.
Main Results:
- No significant differences in VO2 max were observed across the four protocols.
- Treadmill time was significantly shorter for P1 compared to other protocols.
- Rate of perceived exertion was lower during P1 at maximal exercise.
- Submaximal heart rate was significantly lower during P3 compared to other protocols.
Conclusions:
- A protocol using training pace speeds and 1-minute stages is recommended for treadmill testing.
- This recommended protocol may lead to reduced perceived difficulty, lower heart rate, and shorter testing durations.
- Optimizing testing protocols can enhance the runner's experience and potentially improve data reliability.

