Modeling and Relationship of Respiratory Exchange Ratio to Athletic Performance

Abstract

Previous research has related the results of tests of maximum aerobic capacity to performance for endurance athletes. These results are often only able to predict the running velocity of races such as the marathon. This investigation sought to determine the absolute V[Combining Dot Above]O2 at various respiratory exchange ratio (RER) values (0.85, 0.90, 0.95, 1.0, 1.05, and 1.10) by using a third-order polynomial regression to model the physiological responses for V[Combining Dot Above]O2 and RER obtained from an assessment of maximum aerobic capacity. The V[Combining Dot Above]O2 determined was subsequently correlated to race performance. The participants in the study were selected from a population of National Collegiate Athletic Association Division 1 crosscountry runners (male n = 7, female n = 7, age 20.5 ± 0.9 years; height 170.3 ± 8.2 cm; weight 59.7 ± 8.7 kg; V[Combining Dot Above]O2max 57.0 ± 7.8 ml O2·kg·min). Third-order regression analysis resulted in strong curve fitting between the variables (r = 0.949 ± 0.03). Partial correlations (controlled for weight) were used to assess the relationship between oxygen consumption at the desired points of RER and race performance. The partial correlations revealed that the absolute oxygen consumptions at all RER points of interest were significantly correlated to race performance (r > 0.740, p < 0.01). There was a significant difference in the strength of the correlations for the points RER 0.95 (t = 2.68957, p = 0.01), 1.0 (t = 2.18516, p = 0.03), and 1.05 (t = 1.85668, p = 0.04) and the correlations found for RER 0.85. After converting the oxygen consumption at the RER points to estimated horizontal running speeds, only the estimate at RER 1.05 was not statistically different from the actual speed achieved in the culminating XC race. It can be suggested based upon these results that coaches of collegiate crosscountry runners who engage in metabolic testing of athletes examine the estimated running pace at RER 1.05 to gain an insight into a runner's potential.

The relationship of aerobic capacity, anaerobic peak power and experience to performance in HIT exercise

“…For the assessment a custom ramp protocol was used that had been developed previously and pilot tested on a similar group of athletes [ 17 , 18 , 19 ]. This protocol included a 30-second initial familiarization stage at 5.6 kilometers per hour, and then a two-minute first stage at 5.6 kilometers per hour and a 2.0% grade.…”

Prediction of 3000-m Running Performance Using Classic Physiological Respiratory Responses

“…Previous studies have reported that classic physiological respiratory variables such as those related to maximal aerobic power [i.e. ; maximal oxygen uptake (VO2max), ventilatory threshold (VT), respiratory compensation point (RCP), and the velocity at which VO2max occurs (vVO2max) present significant relationships with running performance (Arrese, Izquierdo, & Serveto Galindo, 2006;Bellar & Judge, 2012;Duffield, Bishop, & Dawson, 2006;S, Craig, Wilson, & Aitchison, 1997). Therefore, these variables have frequently been used to evaluate, prescribe, and monitor running training programs (Bragada et al, 2010;Bunc, Heller, Leso, Šprynarová, & Zdanowicz, 1987;Esfarjani & Laursen, 2007;Esteve-Lanao, Foster, Seiler, & Lucia, 2007;Esteve-Lanao, Juan, Earnest, Foster, & Lucia, 2005;Muñoz et al, 2014).…”

Does TRX training induce similar effects to crossfit? Study on the variation of body fat mass, endurance and explosive force

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