Abstract des Autors

The purpose of this study was to devise a protocol intended to assess optimal anaerobic glycolytic power (AGP) from a number of maximal power output (PO) responses (mean and peak) to a range of 90-second performance tests. Subjects (n=24) completed a 30-second Wingate (WG) test, and four 90-second AGP tests on a cycle ergometer. In the 90-second cycle ergometer test, several different trials were made with an ergometer resistance set at 2%, 6%, 8%, and 10% of a subject's body weight (BW). Physiological measurements (heart rate, blood pressure, blood lactate concentration) and a psychological measurement (rating of perceived exertion) were made before a test, immediately after it, and after 30 minutes of recovery from the exertion. Statistically, both the WG and AGP tests produced a significant change in the physiological and psychological measures. These results were variable but did show that the 6% and 8% AGP tests were the most stressful. Polynomial regression analysis was made of all PO responses from the AGP test, and different equations relating the AGP variables measured (heart rate, blood pressure, blood lactate concentration) to the physical measurements of peak and mean PO were determined. Results suggested that the 2% BW resistance setting was not sufficient, and the 10% BW resistance setting was too great to predict the optimal PO response accurately. The 6% and the 8% BW resistance setting trials appeared comparable; however, regression analysis indicated that a 6.5% BW resistance setting for 90-second AGP tests would elicit a maximal PO response. Verf.-Referat