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Updated: Sep 21, 2025

A Real-World High-Intensity Interval Training Protocol for Cardiorespiratory Fitness Improvement
Published on: February 22, 2022
Simple Approach to Defining Training Intensity in Endurance Runners
Carl Foster1, Renato Barroso2, Daniel Bok3
1Department Exercise and Sports Science, University of Wisconsin-La Crosse, La Crosse, WI,USA.
Critical speed (CS) from 1- and 2-mile races can estimate velocity at maximal oxygen uptake (vVO2max) in runners. This finding aids in designing effective training programs by simplifying intensity measurement.
Area of Science:
- Exercise Physiology
- Sports Science
- Running Performance
Background:
- Training intensity distribution is crucial for effective training program design.
- Defining training zones, particularly the boundary between zones 2 and 3, can be achieved through methods like critical speed (CS).
- The upper boundary of zone 3 is often linked to velocity at maximal oxygen uptake (vVO2max), but this is difficult to determine outside laboratory settings.
Purpose of the Study:
- To predict velocity at maximal oxygen uptake (vVO2max) using critical speed (CS).
- CS was determined from 1-mile (1.61 km) and 2-mile (3.22 km) citizen races in well-trained runners.
Main Methods:
- Twenty-two well-trained runners participated in the study.
- Participants completed 1- and 2-mile races.
- Submaximal and maximal treadmill running tests were conducted to measure oxygen uptake and calculate vVO2max, which was then compared to CS.
Main Results:
- A strong correlation was found between vVO2max and CS (r = .84).
- vVO2max also showed strong correlations with 1-mile speed (r = .84) and 2-mile speed (r = .86).
- The standard error of the estimate (SEE) for these correlations was low, indicating good predictive accuracy.
Conclusions:
- Critical speed (CS), calculated from common race distances or training time trials, provides a reliable estimate of vVO2max.
- This estimation method can be practically applied to enhance the design of running training programs.
- Simplifying the assessment of training intensity zones is possible using readily available race data.
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