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Published: 2019-03-28

Comparison of Cardiorespiratory Fitness Prediction Models in Young Adults Running head: Comparison of VO2 max Prediction Models

Department of Biological Sciences, University of North Texas, 1155 Union Circle #305220 Denton, Texas 76203-5017.
Associate Professor, Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, 4505 S. Maryland Pkwy. Las Vegas, NV 89154
VO2 max Wingate Regression analysis


to compare the predictive accuracy of regression models for a non-consecutive day VO2 max/Wingate testing protocol and a same day testing protocol. Participants (N=23) completed a treadmill GXT and Wingate cycle test. Participants (n=12) completed testing on non-consecutive days (NON) and (n=11) the same day (SAME). VO2 max (L/min) and peak power (PP) were collected. Linear regression analysis of NON revealed R2=0.808 and prediction equation Ŷ=1.499+0.004X and SAME showed R2=0.861 and prediction equation Ŷ=1.407+0.003X. NON standard error of estimate (SEE) and standard error of estimate percent (SEE %) were 0.62 L/min and 15.23%, respectively. SAME SEE and SEE% were 0.34 L/min and 10.98%, respectively. These results indicate PP obtained the same day of VO2max testing is a better predictor of cardiorespiratory fitness. Similarly, the SAME model is more accurate according to SEE and SEE%. This may be due to diminished effects of training adaptations that could occur 2-7 days between testing sessions during the NON testing protocol in healthy, active young adults.


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How to Cite

Tanner, E. A., & Navalta, J. W. (2019). Comparison of Cardiorespiratory Fitness Prediction Models in Young Adults Running head: Comparison of VO2 max Prediction Models. International Journal of Physical Education, Fitness and Sports, 8(1), 79-84.

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