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Physiological correlates with endurance running performance in trained adolescents
Omar Ali Almarwaey1, Andrew Mark Jones, Keith Tolfrey
1Department of Exercise and Sport Science, Manchester Metropolitan University, Alsager, United Kingdom.
Medicine and Science in Sports and Exercise
|March 6, 2003
Summary
For adolescent runners, running speed at peak oxygen uptake (vV0(2peak)) and running economy (RE) are key predictors of 800m performance. For the 1500m event, vV0(2peak), v2.5, and peak oxygen uptake (VO2) significantly influence performance in both boys and girls.
Area of Science:
- Exercise Physiology
- Sports Science
- Adolescent Athletics
Background:
- Middle-distance running performance in adolescents is influenced by various physiological factors.
- Understanding these factors is crucial for optimizing training and performance.
Purpose of the Study:
- To investigate the relationship between physiological variables and middle-distance running performance (800m and 1500m) in trained adolescent runners.
- To identify key physiological predictors of performance in young athletes.
Main Methods:
- Collected track performance times for 800m and 1500m from adolescent runners.
- Assessed physiological variables including peak oxygen uptake (VO2), running economy (RE), speed at peak VO2 (vV0(2peak)), anaerobic power, and blood lactate concentrations at fixed levels.
- Analyzed correlations between performance times and physiological measures.
Main Results:
- For boys' 800m, RE and vV0(2peak) were significant predictors. For girls' 800m, no variables were significant after controlling for age.
- For the 1500m, peak VO2, vV0(2peak), and running speed at 2.5 mmol/L blood lactate (v2.5) were significant predictors for both boys and girls.
- VO2 at 2.5 mmol/L blood lactate (VO2(2.5)) also correlated with 1500m time in girls.
Conclusions:
- Running speed at peak oxygen uptake (vV0(2peak)) and running economy (RE) are the strongest physiological correlates of middle-distance running performance in adolescents.
- Peak VO2 may contribute to performance, but its effect is largely encompassed by vV0(2peak).
- Specific physiological markers are critical for predicting performance in adolescent middle-distance runners.