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Experimental Protocol of a Three-minute, All-out Arm Crank Exercise Test in Spinal-cord Injured and Able-bodied Individuals
Published on: June 8, 2017
3-min all-out exercise test for running
R W Pettitt1, N Jamnick, I E Clark
1Viola Holbrook Human Performance Research Laboratory, Minnesota State University, Mankato, USA. robert.pettitt@mnsu.edu
International Journal of Sports Medicine
|March 17, 2012
Summary
The 3-minute all-out running test (3 MT) accurately predicts middle-distance running performance. This test estimates critical speed and curvature constant, showing strong correlations with race outcomes for distances between 2.5 and 18 minutes.
Area of Science:
- Exercise Physiology
- Sports Science
- Running Performance Analysis
Background:
- The 3-minute all-out exercise test (3 MT) is validated for estimating critical power in cycling.
- Its efficacy in predicting running performance, particularly outdoors, remains largely unexamined.
- Understanding physiological predictors for running is crucial for optimizing training and race strategies.
Purpose of the Study:
- To evaluate the validity of a running 3 MT using global positioning sensor data for predicting outdoor race performance.
- To assess the relationship between critical speed (CS) and curvature constant (D') derived from the running 3 MT and actual racing speeds.
- To determine the applicability of the running 3 MT for various middle-distance running events.
Main Methods:
- Fourteen female distance runners completed a 3 MT using global positioning sensors prior to their competitive season.
- Critical speed (CS) and curvature constant (D') were calculated from the 3 MT data.
- Treadmill graded exercise tests were performed to derive gas exchange threshold and maximum oxygen uptake speeds for comparison.
Main Results:
- Critical speed (CS) estimated from the running 3 MT did not significantly differ from treadmill-derived speeds.
- Higher curvature constants (D') correlated strongly with higher speeds above CS during races (R² 0.63–0.99).
- Predictions for 1600m and 5000m races showed high reliability (intraclass correlations α=0.74-0.87) and low variability (1.7%-2.1%).
- 800m race predictions were less accurate as race speeds exceeded the 150-second all-out running capacity.
Conclusions:
- The 3-minute all-out running test is a valid tool for estimating critical speed and curvature constant in runners.
- The running 3 MT effectively predicts middle-distance running performance (approximately 2.5 to 18 minutes) with good accuracy.
- This test provides a practical method for assessing physiological capacity relevant to outdoor running performance.
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