Back to Search
Start Over
Implementing a mathematical model to compare oxygen uptake kinetics between cyclists and noncyclists during steady state
- Source :
- Journal of Strength and Conditioning Research. Oct, 2010, Vol. 24 Issue 10, p2627, 5 p.
- Publication Year :
- 2010
-
Abstract
- The purpose was to compare a mathematical model of oxygen uptake and bioenergetic systems to an experimental protocol. Twelve (N = 12) noncyclists (NC), age (21.8 [+ or -] 1.4 years), and 8 (N = 8) cyclists (C), age (30.5 [+ or -] 5.7 years), were subjects. All subjects signed an informed consent. Oxygen consumption ([[??]o.sub.2], ml x [kg.sup.-1] x [min.sup.-1]) was measured with steady-state [[??]o.sub.2] requirements and responses determined using the mathematical model from the following equation: [[??]o.sub.2] (WR) = [[??]o.sub.2] (rest) + [[??]o.sub.2] (unloading pedaling) + [alpha]. WR; [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]. Exercise means (SD) included the following: [[??]o.sub.2]NC(WR)=48.4 (16.6)[ml.sup.-1]. [min.sup.-1] for NCs and [[??]o.sub.2]C(WR)=56.4(24.95) [ml.sup.-1] x [min.sup.-1] for Cs; [DELTA][[??]o.sub.2]NC(t, WR)=6.38 [ml.sup.-1] x [min.sup.-1] for NCs and [DELTA][[??]o.sub.2]C(t, WR)=7.44 [ml.sup.-1] x [min.sup.-1] for Cs. The correlation between the mathematical model and actual measure was statistically significant (p < 0.01) with a coefficient of r = 0.947. The experimental protocol was significantly associated with the mathematical model. This allows for a quantitative analysis and safe prediction of steady-state oxygen uptake conditions on populations before exposure to exercising conditions. Through more precise analysis of conditions, greater specificity of training may lead to more predictable adaptation outcomes. KEY WORDS bioenergetic systems, prediction equation, oxygen capacity
Details
- Language :
- English
- ISSN :
- 10648011
- Volume :
- 24
- Issue :
- 10
- Database :
- Gale General OneFile
- Journal :
- Journal of Strength and Conditioning Research
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.239813415