Program design based on a mathematical model using rating of perceived exertion for an elite Japanese sprinter: a case study.
We investigated the effects of program design on 400-m sprint time by applying a Rating of Perceived Exertion (RPE) mathematical model to training performance. The subject was 24 years old and had been training for 9 years. His best performance in 400-m sprint competitions was 45.50 seconds. Body weight, resting heart rate, training time and RPE were monitored daily after training sessions. Similarly, performance in 400-m races was recorded 9 times during 2003. At the World Championships in Athletics in France, the subject's team placed eighth in the 1,600-m relay. The RPE mathematical model was able to predict changes in performance. Rate of matching was statistically significant (r(2) = 0.83, F ratio = 34.27, p < 0.001). Application of the RPE mathematical model to the design of a training program specific to the needs of a 400-m sprinter indicates a potentially powerful tool that can be applied to accurately assess the effects of training on athletic performance.
Suzuki
Shozo
S
Human Performance Laboratories, Faculty of Physical Education, Sendai College, Miyagi, Japan. sz-suzuki@scn.ac.jp
Sato
Tasuku
T
Maeda
Akinobu
A
Takahashi
Yasuo
Y
D000328:Adult; D044466:Asian People; D001835:Body Weight / Q000502:physiology; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008954:Models, Biological; D010806:Physical Education and Training / Q000379:methods*; D005082:Physical Exertion / Q000502:physiology*; D012420:Running / Q000502:physiology*; D012984:Software