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KMID : 1023920120140020073
Journal of the Korean Academy of Kinesiology
2012 Volume.14 No. 2 p.73 ~ p.84
Predictions Developments of VO2max By Submaximal Metabolical Responses, Physical Variables and HR Responses for Adult Women
Im Jae-Hyeng

Jeon Yoo-Joung
Chang Hyuk-Ki
Kim Hyo-Jung
Lee Byung-Kun
Abstract
INTRODUCTION: The purpose of this study was to develop the prediction model of V¢« O2max using submaximal metabolic responses from the Bruce protocol, and General Variables and HR responses for South Korean adult women.
METHOD: The subjects were consisted of 198 South Korean adult women They were participated maximal exercise testing with Bruce treadmill protocol(Bruce et al., 1973), and the general physical variables and the metabolic responses were measured in the end of the first(3 minute) and second stage(6 minute). Measurement items were Age, WT, HT, BMI, and VO2, VCO2, VE, HR of 3 and 6 minute, time to HR 150 bpm. To determine the predicted model of VO2max, multiple and simple regression analysis with stepwise methods analysis were applied.

RESULT: Analyzing with all variables using stepwise method, the multiple R of total variable model were 0.719 and 0.732(p<.01), SEE were 3.47, 3.41 ml/kg/min, CV were 10.5, 10.3%. VO2 max = 38.943 + 6minVO2*.130 + BMI*-.339 + 3minVO2*.369 + 3minHR*-.062 + Age*-.058. The multiple R of 3 minutes model were 0.673, 0.681, SEE were 3.66, 3.63 ml/kg/min, CV was 11.1, 11.00%(p<.01). The multiple R of 6 minutes model were 0.649, 0.692, SEE were 3.58, 3.76 ml/kg/min, CV were 11.4, 10.8%. The multiple R of general variables model were 0.571, 0.588, SEE were 4.06, 4.01 ml/kg/min, CV were 12.3, 12.2%. VO2 max = 74.582 + BMI*-.688 + Age*-.075 + Height*-.141. The R of HR 150 model was 0.157, SEE was 4.88 ml/kg/min, CV was 14.8%. The multicolinearity did not appeared on all of model.

CONCLUSION: In conclusion, with considering usefulness and convenience through the validity of these prediction models, the prediction model of maximal oxygen consumption recommended total model, general variables model, 6 and 3 minute model, and HR 150 model by tunes.
KEYWORD
V¢« O2max prediction, Metabolic responses, Multiple regression analysis, Physical Variables
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