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Article

Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correlation Properties of Heart Rate Variability

1
College of Medicine, University of Central Florida, 6850 Lake Nona Boulevard, Orlando, FL 32827-7408, USA
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Lattice Training Ltd., Chesterfield S41 9AT, UK
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School of Health Sciences, College of Education, Health and Human Development, University of Canterbury, 8041 Christchurch, New Zealand
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EA3920 Prognostic Factors and Regulatory Factors of Cardiac and Vascular Pathologies, Exercise Performance Health Innovation (EPHI) Platform, University of Bourgogne Franche-Comté, 25000 Besançon, France
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Division for Physical Education, National Research Tomsk Polytechnic University, Lenin Ave, 30, 634050 Tomsk Oblast, Russia
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Department of Performance, Neuroscience, Therapy and Health, Faculty of Health Sciences, MSH Medical School Hamburg, University of Applied Sciences and Medical University, Am Kaiserkai 1, 20457 Hamburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Cristina Cortis, Andrea Fusco and Carl Foster
J. Funct. Morphol. Kinesiol. 2021, 6(2), 38; https://doi.org/10.3390/jfmk6020038
Received: 31 March 2021 / Revised: 21 April 2021 / Accepted: 23 April 2021 / Published: 26 April 2021
(This article belongs to the Special Issue Exercise Evaluation and Prescription-2nd Edition)
Past attempts to define an anaerobic threshold (AnT) have relied upon gas exchange kinetics, lactate testing and field-based evaluations. DFA a1, an index of heart rate (HR) variability (HRV) fractal correlation properties, has been shown to decrease with exercise intensity. The intent of this study is to investigate whether the AnT derived from gas exchange is associated with the transition from a correlated to uncorrelated random HRV pattern signified by a DFA a1 value of 0.5. HRV and gas exchange data were obtained from 15 participants during an incremental treadmill run. Comparison of the HR reached at the second ventilatory threshold (VT2) was made to the HR reached at a DFA a1 value of 0.5 (HRVT2). Based on Bland–Altman analysis and linear regression, there was strong agreement between VT2 and HRVT2 measured by HR (r = 0.78, p < 0.001). Mean VT2 was reached at a HR of 174 (±12) bpm compared to mean HRVT2 at a HR of 171 (±16) bpm. In summary, the HR associated with a DFA a1 value of 0.5 on an incremental treadmill ramp was closely related to that of the HR at the VT2 derived from gas exchange analysis. A distinct numerical value of DFA a1 representing an uncorrelated, random interbeat pattern appears to be associated with the VT2 and shows potential as a noninvasive marker for training intensity distribution and performance status. View Full-Text
Keywords: autonomic nervous system; HRV; intensity distribution; endurance training autonomic nervous system; HRV; intensity distribution; endurance training
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MDPI and ACS Style

Rogers, B.; Giles, D.; Draper, N.; Mourot, L.; Gronwald, T. Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correlation Properties of Heart Rate Variability. J. Funct. Morphol. Kinesiol. 2021, 6, 38. https://doi.org/10.3390/jfmk6020038

AMA Style

Rogers B, Giles D, Draper N, Mourot L, Gronwald T. Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correlation Properties of Heart Rate Variability. Journal of Functional Morphology and Kinesiology. 2021; 6(2):38. https://doi.org/10.3390/jfmk6020038

Chicago/Turabian Style

Rogers, Bruce, David Giles, Nick Draper, Laurent Mourot, and Thomas Gronwald. 2021. "Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correlation Properties of Heart Rate Variability" Journal of Functional Morphology and Kinesiology 6, no. 2: 38. https://doi.org/10.3390/jfmk6020038

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