IMPACT OF HIGH-INTENSITY INTERVAL TRAINING (HIIT) ON HEART RATE VARIABILITY IN RUNNERS

Introduction: Heart rate variability (HRV) measures have been increasingly used to assess autonomic regulation changes induced by training. HRV analysis is a valuable tool for monitoring training load responses, physical conditioning, and overtraining in athletes. Objective: To analyze heart rate variability and performance in runners undergoing a high-intensity interval training (HIIT) protocol. Methods: Eleven well-trained runners (age: 31±5.78 years; running experience: 10.23±6.11 years; best 5K time: 16.94±1.82 minutes) participated in the study. A maximal incremental treadmill test was conducted pre- and post-training to determine maximal aerobic speed (MAS). The test began at 10 km/h, increasing by 1 km/h every 2 minutes without rest. The HIIT program lasted four weeks, with two sessions per week. Training intensity was progressively adjusted. Each session included 1-minute intervals at a percentage of MAS, alternated with 1-minute active recovery at 50% of the corresponding load, until exhaustion or a 90-minute ceiling. R-R intervals were recorded at rest using a POLAR® RS800cx monitor at four time points: before the initial test (PRE HIIT), before the first session in week 3 (110% MAS), before the first session in week 4 (Taper), and before the final test (POST HIIT). HRV was analyzed using Kubios software in time domain, nonlinear parameters, and overall HRV metrics. Statistical analyses included Student’s t-test (VO₂ max and MAS) and One-Way ANOVA with Tukey and Dunn post hoc tests (resting HRV). Results: Positive adaptations were observed with maintained cardiorespiratory fitness and resting HRV. Autonomic modulation adapted to training load, with HRV reduction during intense phases (110% MAS and Taper) and recovery post-training. Significant differences (p<0.05) were found in SDNN, RMSSD, and SD2 between phases. Conclusion: HRV is sensitive to HIIT effects, proving effective for monitoring cardiac autonomic regulation and guiding training load. HIIT also supports performance maintenance in runners.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-16
DOI
https://doi.org/10.5281/zenodo.17370058
Primary Topic
Cultural Industries and Urban Development
Type
article
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article

IMPACT OF HIGH-INTENSITY INTERVAL TRAINING (HIIT) ON HEART RATE VARIABILITY IN RUNNERS

Zenodo (CERN European Organization for Nuclear Research)
Cultural Industries and Urban Development
article

IMPACT OF HIGH-INTENSITY INTERVAL TRAINING (HIIT) ON HEART RATE VARIABILITY IN RUNNERS

article en

Abstract

Introduction: Heart rate variability (HRV) measures have been increasingly used to assess autonomic regulation changes induced by training. HRV analysis is a valuable tool for monitoring training load responses, physical conditioning, and overtraining in athletes. Objective: To analyze heart rate variability and performance in runners undergoing a high-intensity interval training (HIIT) protocol. Methods: Eleven well-trained runners (age: 31±5.78 years; running experience: 10.23±6.11 years; best 5K time: 16.94±1.82 minutes) participated in the study. A maximal incremental treadmill test was conducted pre- and post-training to determine maximal aerobic speed (MAS). The test began at 10 km/h, increasing by 1 km/h every 2 minutes without rest. The HIIT program lasted four weeks, with two sessions per week. Training intensity was progressively adjusted. Each session included 1-minute intervals at a percentage of MAS, alternated with 1-minute active recovery at 50% of the corresponding load, until exhaustion or a 90-minute ceiling. R-R intervals were recorded at rest using a POLAR® RS800cx monitor at four time points: before the initial test (PRE HIIT), before the first session in week 3 (110% MAS), before the first session in week 4 (Taper), and before the final test (POST HIIT). HRV was analyzed using Kubios software in time domain, nonlinear parameters, and overall HRV metrics. Statistical analyses included Student’s t-test (VO₂ max and MAS) and One-Way ANOVA with Tukey and Dunn post hoc tests (resting HRV). Results: Positive adaptations were observed with maintained cardiorespiratory fitness and resting HRV. Autonomic modulation adapted to training load, with HRV reduction during intense phases (110% MAS and Taper) and recovery post-training. Significant differences (p<0.05) were found in SDNN, RMSSD, and SD2 between phases. Conclusion: HRV is sensitive to HIIT effects, proving effective for monitoring cardiac autonomic regulation and guiding training load. HIIT also supports performance maintenance in runners.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal de Uberlândia (BR)
Openalex Percentile: Top 37%
Cultural Industries and Urban Development
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IMPACT OF HIGH-INTENSITY INTERVAL TRAINING (HIIT) ON HEART RATE VARIABILITY IN RUNNERS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS