Related Experiment Video
Updated: Feb 12, 2026

A Real-World High-Intensity Interval Training Protocol for Cardiorespiratory Fitness Improvement
Published on: February 22, 2022
Locomotor Profile Influences Physiological and Locomotor Adaptations After 6 Weeks of High-Intensity or Sprint
Maximiliane Thron1, Yannick Sondermann1, Ludwig Ruf2
1Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Purpose:
High-intensity interval training (HIIT) and sprint interval training (SIT) can improve physiological (eg, maximal oxygen uptake [V˙O2max]) and locomotor (eg, maximal aerobic speed, MAS; maximal sprinting speed, MSS) variables. However, the influence of an athlete's locomotor profile on training adaptations to HIIT and SIT remains unclear. We aimed to (1) compare physiological and locomotor adaptations to HIIT and SIT and (2) assess how locomotor profiles affect these adaptations.
Methods:
Twenty-seven trained male and female runners (27.7 [7.5] y; n = 12 women) completed 6 weeks of HIIT (4-6 × 4 min @90%-95% MAS) or SIT (6-10 × 20-s all-out sprints), performed twice weekly. Pretest and posttests included 40-m sprinting (MSS) and incremental treadmill tests (V˙O2max, MAS, lactate thresholds [eg, v4mmo]). Anaerobic speed reserve was calculated as MSS minus MAS and speed reserve ratio as MSS divided by MAS. Linear mixed models and moderation analyses were performed.
Results:
Both HIIT and SIT significantly improved MAS (P ≤ .03). While only SIT enhanced MSS (interaction: P < .01), HIIT increased v4mmol (P < .01). In both groups, speed types (ie, higher speed reserve ratio and anaerobic speed reserve) showed greater MAS (P < .01) and v4mmol increases (P < .05) than endurance types (ie, lower speed reserve ratio and anaerobic speed reserve). Within the SIT group, endurance types improved MSS (P < .01) and V˙O2max more, while speed types increased V˙O2max more with HIIT (interaction: P ≤ .03).
Conclusion:
HIIT and SIT improve endurance outcomes in trained runners. Adaptations vary depending on locomotor profile, with speed types responding better to HIIT and endurance types benefiting more from SIT. Accordingly, individualizing training by locomotor profile may optimize outcomes.
Related Concept Videos
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Confidence Intervals
A...
Infertility in Males
Improper Integrals: Infinite Intervals
Infertility in Females
Endometriosis, a condition characterized by abnormal growth of...
External Female Genitals

