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Modeling the relationship between velocity and time to fatigue in rowing
David W Hill1, Catherine Alain, Michael D Kennedy
1Department of Kinesiology, Health Promotion, and Recreation, University of North Texas, Denton 76203-0769, USA. dhill@unt.edu
Medicine and Science in Sports and Exercise
|December 4, 2003
Summary
Accurately modeling rowing performance requires including longer trials, like the 2000-m race, to determine critical velocity (V(critical)). The two-parameter model best predicts 2000-m race times but is less suitable for shorter durations.
Area of Science:
- Sports Science
- Exercise Physiology
- Biomechanics
Background:
- Mathematical models are used to understand the relationship between velocity and fatigue.
- Critical velocity (V(critical)) is a key parameter in predicting endurance performance.
Purpose of the Study:
- To evaluate different critical velocity (V(critical)) models in rowing ergometry.
- To assess the prediction accuracy of 2000-m race performance using shorter rowing trials.
Main Methods:
- Sixteen male rowers completed seven rowing ergometer tests.
- Data from 200-m to 2000-m trials were fitted to two-parameter hyperbolic and three-parameter exponential models.
- Velocity and time to fatigue were analyzed.
Main Results:
- Including 2000-m trial data improved model fit (higher R2, smaller SEE).
- The two-parameter model provided superior prediction for 2000-m race times (r > 0.974).
- Three-parameter models showed high R2 but less accurate 2000-m race time predictions (r = 0.820-0.870).
Conclusions:
- Accurate velocity-time relationship modeling in rowing necessitates including the 2000-m trial.
- The two-parameter model is effective for predicting 2000-m race times but not for trials under 1 minute.
- Model selection and trial duration are crucial for deriving V(critical) in rowing.