Equation Development to Predict V˙O 2 max and Optimal Exercise Load of ?strand Bicycle Test for the Prediction of V˙O 2max in College Students |
Jung-Sok Oak |
Dankook University |
Correspondence:
Jung-Sok Oak, Email: jsoak@dankook.ac.kr |
Received: 13 June 2012 • Accepted: 28 October 2012 |
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Abstract |
INTRODUCTION The purpose of this study was to establish the optimal exercise load for developing a reliable prediction model of V˙O 2 max from sex, age, exercise load, mean heart rate, and energy expenditure using ?strand Bicycle test. METHOD The subjects (20‘s men and women, n=34) were entitled ?strand bicycle test as submaximal exercise test. The test was initiated with the intensities which had been suggested by previous study (intensity 1 or A1 and intensity 2 or A2) and that was 50W-lower than those each(intensity 3 or N1, the intensity 4 or N2). The optimal level of exercise load was obtained from both predicted V˙O 2 max and measured V˙O 2 max using Bruce protocol stress test. Multiple regression analysis was carried out to derive a regression equation for energy consumption using gender, age, exercise, mean heart rate. RESULTS The highest correlation(r = 0.692, p<0.001) between the four methods was the one of conventional methods, A2 which initiated 150W(3.0kp) for men and 125W(2.5kp) for women. Between the new methods, N2 was found to be the most appropriate (p<0.001), N2 which initiated 100W(2.0kp) for men and 75W(1.5kp) for women, but it showed lower correlation (r=0.555) than conventional methods(A1 and A2). For the precited model to estimate energy consumption using age, exercise, mean heart rate during ?strand bicycle test, the suitability F = 10.117 (p<0.001) and coefficient of determination R 2 = 58.3% were found. The estimated regression equation was V˙O 2 max(ml/kg/min)=78.764+(-13.915×gender)+(-0.861×age)+(0.053×exercise) +(-0.074×mean heart). CONCLUSION A2 is the most appropriate method for ?strand bicycle test. Although they showed similar level of suitability, N2 was more appropriate within the newly modified methods. In addition, the prediction for V˙O 2 max with four variables appears to be suitable as the coefficient of determination(variance) was reasonable, i.e., R 2 = 58.3%. |
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