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Updated: May 26, 2025
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A Real-World High-Intensity Interval Training Protocol for Cardiorespiratory Fitness Improvement
Published on: February 22, 2022
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Affective valence predictors from real-world based short sprint interval training
Stefano Benítez-Flores1, Flávio A de S Castro2, Eduardo Caldas Costa3,4
1Department of Physical Education and Health, Higher Institute of Physical Education, University of the Republic, Montevideo, Uruguay.
Sports Medicine and Health Science
|February 24, 2025
Summary
Affective valence during high-intensity exercise like short sprint interval training (sSIT) is predicted by heart rate-based measures. Specifically, in-task stress and acute recovery metrics help determine how individuals feel during sSIT.
Area of Science:
- Exercise Physiology
- Sports Science
- Psychophysiology
Background:
- Affective valence is typically positive below the lactate threshold but can become aversive at higher intensities.
- Predictors of affective valence during supramaximal exercise, such as short sprint interval training (sSIT), remain unclear.
- Understanding these predictors is crucial for optimizing exercise prescription and adherence.
Purpose of the Study:
- To identify physiological and psychological predictors of affective valence during low-volume running sSIT.
- To investigate the relationship between affective valence and various physiological markers during high-intensity interval training.
- To determine if heart rate-based measures can predict affective responses to sSIT.
Main Methods:
- Seventeen moderately active young adults completed four sSIT sessions (10 x 4s efforts, 30s passive recovery).
- Physiological data collected included heart rate (HR), root mean square of successive differences of normal RR intervals (RMSSD), and heart rate recovery (HRR).
- Psychological measures included ratings of perceived exertion (RPE), feeling scale (FS), intention, and self-efficacy.
Main Results:
- No significant correlations were found between feeling scale (FS) and baseline clinical outcomes, training parameters, or self-efficacy/intention measures.
- A significant regression model identified three key predictors of affective valence: ΔHRR (end-120s end), time spent ≥ 90% HRpeak, and RMSSD (end).
- These heart rate-based measures explained a significant portion of the variance in affective valence during sSIT.
Conclusions:
- Heart rate-based measures, particularly those reflecting in-task stress and acute recovery, are significant predictors of affective valence during sSIT.
- These findings suggest that physiological responses related to cardiovascular load and recovery can help predict how individuals perceive the intensity of sSIT.
- This understanding can inform strategies to manage affective responses during high-intensity interval training.
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