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KMID : 1023920120140040037
Journal of the Korean Academy of Kinesiology
2012 Volume.14 No. 4 p.37 ~ p.48
Equation Development to Predict O2max and Optimal Exercise Load of Astrand Bicycle Test for the Prediction of O2max in College Students
Oak Jung-Sok

Abstract
INTRODUCTION: The purpose of this study was to establish the optimal exercise load for developing a reliable prediction model of O2max from sex, age, exercise load, mean heart rate, and energy expenditure using Astrand Bicycle test.
METHOD: The subjects (20¡®s men and women, n=34) were entitled Astrand 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 O2max and measured O2max 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 Astrand bicycle test, the suitability F = 10.117 (p<0.001) and coefficient of determination R2= 58.3% were found. The estimated regression equation was O2max(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 Astrand bicycle test. Although they showed similar level of suitability, N2 was more appropriate within the newly modified methods. In addition, the prediction for O2max with four variables appears to be suitable as the coefficient of determination(variance) was reasonable, i.e., R2 = 58.3%.
KEYWORD
O2max prediction, Astrand bicycle test, Correlations, Multiple regression analysis
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