Abstract
Purpose: Aerobic capacity is an indicator of an athlete’s endurance and a key predictor of performance. The greater the aerobic capacity, the more oxygen available for working muscles, leading to delays in lactate buildup, thus increasing the potential for successful performance. Studies have investigated non-exercise and/or submaximal exercise measures to predict aerobic capacity, but few have analyzed the combination of maximal exercise and non-exercise measures in Division-3 runners. Therefore, the purpose of this pilot study is to determine the predictive ability of heart rate (HRmax), ventilation (VE), respiratory quotient (RQ), and rate of perceived exertion (RPE) on VO2max in middle distance track and field runners. Methods: Eleven Division-3 400- and 800m runners (F:5, M:6, age 18-24) reported to the Human Movement Laboratory twice. HRmax, RQ, and RPE were collected during VO2max testing using a CosMed treadmill and Cardiopulmonary Exercise Test (CPET), while VE was obtained through spirometry testing. A multiple regression analysis (⍺=0.05) was used to predict VO2 max from HRmax, VE, RQ, and RPE. Additionally, the pool was split by sex, and correlations were run to assess relationships among variables (⍺=0.05). Results: The multiple regression model statistically significantly predicted VO2max (p= 0.018, adj. R2= 0.71). Both HRmax (p= 0.004) and VE (p=0.014) added to the statistically significant prediction. Correlation results indicate a positive relationship between HRmax and VO2max in males (r=0.90, p=0.015) and females (r=0.97, p=0.006). Conclusions: HRmax contributed significantly to the model predicting VO2max. VE also proved to be a significant contributor to the prediction of VO2 max. These results suggest that increasing VE through breathing training may positively influence VO2max and performance in middle-distance runners. Future studies should formulate breathing exercises that work the respiratory muscles and test the effectiveness of breathing training in improving aerobic capacity in athletes.
Recommended Citation
Vargas, Nicole; VanOosbree, Patricia; and Wiegand, Kristyne
(2021)
"Developing a Predictive Model for VO2MAX in Middle-Distance Track and Field Athletes,"
International Journal of Exercise Science: Conference Proceedings: Vol. 14:
Iss.
1, Article 107.
Available at:
https://digitalcommons.wku.edu/ijesab/vol14/iss1/107
Included in
Health and Physical Education Commons, Medical Education Commons, Sports Sciences Commons