Preprint has been submitted for publication in journal
Preprint / Version 1

Correlation properties of heart rate variability for exercise prescription during prolonged running at constant speeds

A randomized cross-over trial

##article.authors##

  • Thomas Gronwald Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany; G-Lab, Faculty of Applied Sport Sciences and Personality, BSP Business and Law School, Berlin, Germany https://orcid.org/0000-0001-5610-6013
  • Leonie Horn Center for Sports and Physical Education, Faculty of Human Sciences, Julius-Maximilians-University Wuerzburg, Wuerzburg, Germany
  • Marcelle Schaffarczyk Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany
  • Olaf Hoos Center for Sports and Physical Education, Faculty of Human Sciences, Julius-Maximilians-University Wuerzburg, Wuerzburg, Germany

DOI:

https://doi.org/10.51224/SRXIV.409

Keywords:

HRV, DFAa1, intensity distribution, endurance sports, decoupling

Abstract

The study explores the validity of the non-linear index alpha 1 of detrended fluctuation analysis (DFAa1) of heart rate (HR) variability for exercise prescription in prolonged constant load running bouts of different intensities.

21 trained endurance athletes (9w, 12m) performed a ramp test for ventilatory (vVT1, vVT2) and DFAa1 based (vDFAa1-1 at 0.75, vDFAa1-2 at 0.5) running speed detection, as well as two 20-min running bouts at vDFAa1-1 and vDFAa1-2 (20-vDFAa1-1, 20-vDFAa1-2), in which HR, oxygen consumption (VO2), respiratory frequency (RF), DFAa1, and blood lactate concentration (BLC) were assessed.

20-vDFAa1-2 could not be finished by all participants (finisher group (FG), n=15 vs. exhaustion group (EG), n=6). Despite similar mean external loads of vDFAa1-1 and vDFAa1-2 compared to vVT1 and vVT2, considerable differences were present for 20-vDFAa1-2 in EG. 20-vDFAa1-1 and 20-DFAa1-2 yielded significant differences in FG for HR (76.2±5.7 vs. 86.4±5.9%HRMAX), VO2 (62.1±5.0 vs. 77.5±8.6%VO2PEAK), RF (40.6±11.3 vs. 46.1±9.8bpm), DFA-a1 (0.86±0.23 vs. 0.60±0.15) and BLC (1.41±0.45 vs. 3.34±2.24mmol/l). In FG, during 20-vDFAa1-1 HR and RF increased significantly, VO2 and DFAa1 were stable, while during 20-vDFAa1-2 HR and RF showed a large, significant increase, while VO2 increased moderately, and DFA-a1 tended to decrease.

DFAa1 based exercise prescription from incremental testing could be useful for most participants in prolonged running bouts, at least in the moderate to heavy intensity domain. In addition, an individually different increased risk of overloading may occur in the heavy to severe exercise domains and should be further elucidated in the light of durability and decoupling assessment.

Metrics

Metrics Loading ...

References

Beaver, W. L., Wasserman, K., & Whipp, B. J. (1986). A new method for detecting an-aerobic threshold by gas exchange. Journal of applied physiology (Bethesda, Md.: 1985), 60(6), 2020–2027.

Benarroch E. E. (1993). The central autonomic network: functional organization, dysfunc-tion, and perspecti-ve. Mayo Clinic proceedings, 68(10), 988–1001.

Beneke, R., & Leithäuser, R. M. (2017). Maximal Lactate Steady State's Dependence on Cycling Cadence. International journal of sports physiology and performance, 12(3), 304–309.

Brockmann, L., & Hunt, K. J. (2023). Heart rate variability changes with respect to time and exercise intensity during heart-rate-controlled steady-state treadmill running. Scien-tific reports, 13(1), 8515.

Brownstein, C. G., Pastor, F. S., Mira, J., Murias, J. M., & Millet, G. Y. (2022). Power Output Manipulation from Below to Above the Gas Exchange Threshold Results in Ex-acerbated Performance Fatigability. Medicine and science in sports and exercise, 54(11), 1947–1960.

Cartón-Llorente, A., Roche-Seruendo, L. E., Mainer-Pardos, E., Nobari, H., Rubio-Peirotén, A., Jaén-Carrillo, D., & García-Pinillos, F. (2022). Acute effects of a 60-min time trial on power-related parame-ters in trained endurance runners. BMC sports science, medicine & rehabilitation, 14(1), 142.

Chicharro, J. L., Pérez, M., Vaquero, A. F., Lucía, A., & Legido, J. C. (1997). Lactic threshold vs ventilatory threshold during a ramp test on a cycle ergometer. The Journal of sports medicine and physical fitness, 37(2), 117–121.

de Godoy, M.F. (2016). Nonlinear analysis of heart rate variability: a comprehensive re-view. J.Cardiol: Ther., 3, 528-533.

Di Veroli, G. Y., Fornari, C., Goldlust, I., Mills, G., Koh, S. B., Bramhall, J. L., Richards, F. M., & Jodrell, D. I. (2015). An automated fitting procedure and software for dose-response curves with multiphasic features. Scientific reports, 5, 14701.

Ekelund L. G. (1967). Circulatory and respiratory adaptation during prolonged exercise of moderate intensity in the sitting position. Acta physiologica Scandinavica, 69(4), 327–340.

Fleckenstein D, Seelhöfer J, Walter N, Ueberschär O. From Incremental Test to Continu-ous Running at Fixed Lactate Thresholds: Individual Responses on %VO2max, %HRmax, Lactate Accumulation, and RPE. Sports (Basel). 2023;11(10):198.

Galán-Rioja, M. Á., González-Mohíno, F., Poole, D. C., & González-Ravé, J. M. (2020). Relative Proximity of Critical Power and Metabolic/Ventilatory Thresholds: Systematic Review and Meta-Analysis. Sports medicine (Auckland, N.Z.), 50(10), 1771–1783.

Goldberger, A.L., Amaral, L.A., Hausdorff, J.M., Ivanov, P.C., Peng, C.K. & Stanley, H.E. (2002). Fractal dynamics in physiology: Alterations with disease and aging. PNAS, 99, 2466-2472.

Gronwald, T., & Hoos, O. (2020). Correlation properties of heart rate variability during endurance exercise: A systematic review. Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 25(1), e12697.

Gronwald, T., Berk, S., Altini, M., Mourot, L., Hoos, O., & Rogers, B. (2021a). Real-Time Estimation of Aerobic Threshold and Exercise Intensity Distribution Using Fractal Correlation Properties of Heart Rate Variability: A Single-Case Field Application in a Former Olympic Triathlete. Frontiers in sports and active living, 3, 668812.

Gronwald, T., Hoos, O., & Hottenrott, K. (2019). Effects of Acute Normobaric Hypoxia on Non-linear Dynamics of Cardiac Autonomic Activity During Constant Workload Cy-cling Exercise. Frontiers in physiology, 10, 999.

Gronwald, T., Ludyga, S., Hoos, O., & Hottenrott, K. (2018). Non-linear dynamics of cardiac autonomic activity during cycling exercise with varied cadence. Human move-ment science, 60, 225–233.

Gronwald, T., Rogers, B., & Hoos, O. (2020). Fractal Correlation Properties of Heart Rate Variability: A New Biomarker for Intensity Distribution in Endurance Exercise and Training Prescription? Frontiers in physiology, 11, 550572.

Gronwald, T., Rogers, B., Hottenrott, L., Hoos, O., & Hottenrott, K. (2021b). Correlation Properties of Heart Rate Variability during a Marathon Race in Recreational Runners: Po-tential Biomarker of Complex Regulation during Endurance Exercise. Journal of sports science & medicine, 20(4), 557–563.

Gronwald, T., Törpel, A., Herold, F., & Budde, H. (2020). Perspective of Dose and Re-sponse for Individualized Physical Exercise and Training Prescription. Journal of func-tional morphology and kinesiology, 5(3), 48.

Haugen, T., Sandbakk, Ø., Seiler, S., & Tønnessen, E. (2022). The Training Characteris-tics of World-Class Distance Runners: An Integration of Scientific Literature and Re-sults-Proven Practice. Sports medicine - open, 8(1), 46.

Hautala, A. J., Mäkikallio, T. H., Seppänen, T., Huikuri, H. V., & Tulppo, M. P. (2003). Short-term correlation properties of R-R interval dynamics at different exercise intensity levels. Clinical physiology and functional imaging, 23(4), 215–223.

Hernando, D., Hernando, A., Casajús, J. A., Laguna, P., Garatachea, N., & Bailón, R. (2018). Methodological framework for heart rate variability analysis during exercise: ap-plication to running and cycling stress testing. Medical & biological engineering & compu-ting, 56(5), 781–794.

Hofmann, P., & Tschakert, G. (2017). Intensity- and Duration-Based Options to Regulate Endurance Training. Frontiers in physiology, 8, 337.

Hopker, J. G., Jobson, S. A., & Pandit, J. J. (2011). Controversies in the physiological basis of the 'anaerobic threshold' and their implications for clinical cardiopulmonary exer-cise testing. Anaesthesia, 66(2), 111–123.

Hunt, K. J., & Saengsuwan, J. (2018). Changes in heart rate variability with respect to exercise intensity and time during treadmill running. Biomedical engineering online, 17(1), 128.

Iannetta, D., de Almeida Azevedo, R., Keir, D. A., & Murias, J. M. (2019a). Establishing the V̇o2 versus constant-work-rate relationship from ramp-incremental exercise: simple strategies for an unsolved problem. Journal of applied physiology (Bethesda, Md. : 1985), 127(6), 1519–1527.

Iannetta, D., Murias, J. M., & Keir, D. A. (2019b). A Simple Method to Quantify the V˙O2 Mean Response Time of Ramp-Incremental Exercise. Medicine and science in sports and exercise, 51(5), 1080–1086.

Jamnick, N. A., Botella, J., Pyne, D. B., & Bishop, D. J. (2018). Manipulating graded exercise test variables affects the validity of the lactate threshold and VO2peak. PloS one, 13(7), e0199794.

Jamnick, N. A., Pettitt, R. W., Granata, C., Pyne, D. B., & Bishop, D. J. (2020). An Ex-amination and Critique of Current Methods to Determine Exercise Intensity. Sports med-icine (Auckland, N.Z.), 50(10), 1729–1756.

Jones A. M. (2023). The fourth dimension: physiological resilience as an independent de-terminant of endurance exercise performance. The Journal of physiology, 10.1113/JP284205. Advance online publication.

Kanniainen, M., Pukkila, T., Kuisma, J., Molkkari, M., Lajunen, K., & Räsänen, E. (2023). Estimation of physiological exercise thresholds based on dynamical correlation properties of heart rate variability. Frontiers in physiology, 14, 1299104.

Kauffman, S.A. (1995). At home in the universe: The search for laws of self-organization and complexity. Oxford, UK: Oxford University Press.

Kaufmann, S., Gronwald, T., Herold, F., & Hoos, O. (2023). Heart Rate Variability-Derived Thresholds for Exercise Intensity Prescription in Endurance Sports: A Systematic Review of Interrelations and Agreement with Different Ventilatory and Blood Lactate Thresholds. Sports medicine - open, 9(1), 59.

Li, S. N., Peeling, P., Scott, B. R., Peiffer, J. J., Shaykevich, A., & Girard, O. (2023). Au-tomatic heart rate clamp: A practical tool to control internal and external training loads during aerobic exercise. Frontiers in physiology, 14, 1170105.

Mann, T., Lamberts, R. P., & Lambert, M. I. (2013). Methods of prescribing relative exer-cise intensity: physiological and practical considerations. Sports medicine (Auckland, N.Z.), 43(7), 613–625.

Mateo-March, M., Moya-Ramón, M., Javaloyes, A., Sánchez-Muñoz, C., & Clemente-Suárez, V. J. (2023). Validity of detrended fluctuation analysis of heart rate variability to determine intensity thresholds in elite cyclists. European journal of sport science, 23(4), 580–587.

Mateo-March, M., Moya-Ramón, M., Javaloyes, A., Sánchez-Muñoz, C., & Clemente-Suárez, V. J. (2023). Validity of detrended fluctuation analysis of heart rate variability to determine intensity thresholds in elite cyclists. European journal of sport science, 23(4), 580–587.

Maunder, E., Seiler, S., Mildenhall, M. J., Kilding, A. E., & Plews, D. J. (2021). The Im-portance of 'Durability' in the Physiological Profiling of Endurance Athletes. Sports me-dicine (Auckland, N.Z.), 51(8), 1619–1628.

McKay, A. K. A., Stellingwerff, T., Smith, E. S., Martin, D. T., Mujika, I., Goosey-Tolfrey, V. L., Sheppard, J., & Burke, L. M. (2022). Defining Training and Performance Caliber: A Participant Classification Framework. International journal of sports physiolo-gy and performance, 17(2), 317–331.

Meyer, T., Lucía, A., Earnest, C. P., & Kindermann, W. (2005). A conceptual framework for performance diagnosis and training prescription from submaximal gas exchange pa-rameters--theory and application. International journal of sports medicine, 26 Suppl 1, S38–S48.

Meyler, S., Bottoms, L., Wellsted, D., & Muniz-Pumares, D. (2023). Variability in exer-cise tolerance and physiological responses to exercise prescribed relative to physiological thresholds and to maximum oxygen uptake. Experimental physiology, 108(4), 581–594.

Molkkari, M., Angelotti, G., Emig, T., & Räsänen, E. (2020). Dynamical heart beat corre-lations during running. Scientific reports, 10(1), 13627.

Nicolò, A., & Sacchetti, M. (2023). Differential control of respiratory frequency and tidal volume during exer-cise. European journal of applied physiology, 123(2), 215–242.

Nicolò, A., Massaroni, C., & Passfield, L. (2017). Respiratory Frequency during Exercise: The Neglected Physio-logical Measure. Frontiers in physiology, 8, 922.

Pallarés, J. G., Morán-Navarro, R., Ortega, J. F., Fernández-Elías, V. E., & Mora-Rodriguez, R. (2016). Validity and Reliability of Ventilatory and Blood Lactate Thresh-olds in Well-Trained Cyclists. PloS one, 11(9), e0163389.

Peng, C. K., Havlin, S., Stanley, H. E., & Goldberger, A. L. (1995). Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos (Woodbury, N.Y.), 5(1), 82–87.

Persson P. B. (1996). Modulation of cardiovascular control mechanisms and their interac-tion. Physiological reviews, 76(1), 193–244.

Poole, D. C., Rossiter, H. B., Brooks, G. A., & Gladden, L. B. (2021). The anaerobic threshold: 50+ years of controversy. The Journal of physiology, 599(3), 737–767.

Rogers, B., & Gronwald, T. (2022). Fractal Correlation Properties of Heart Rate Variabil-ity as a Biomarker for Intensity Distribution and Training Prescription in Endurance Exer-cise: An Update. Frontiers in physiology, 13, 879071.

Rogers, B., Giles, D., Draper, N., Hoos, O., & Gronwald, T. (2021b). A New Detection Method Defining the Aerobic Threshold for Endurance Exercise and Training Prescrip-tion Based on Fractal Correlation Properties of Heart Rate Variability. Frontiers in physio-logy, 11, 596567.

Rogers, B., Giles, D., Draper, N., Mourot, L., & Gronwald, T. (2021a). Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correla-tion Properties of Heart Rate Variability. Journal of functional morphology and kinesiolo-gy, 6(2), 38.

Rogers, B., Mourot, L., Doucende, G., & Gronwald, T. (2021c). Fractal correlation prop-erties of heart rate variability as a biomarker of endurance exercise fatigue in ultramara-thon runners. Physiological reports, 9(14), e14956.

Schaffarczyk, M., Rogers, B., Reer, R., & Gronwald, T. (2022). Fractal correlation prop-erties of HRV as a noninvasive biomarker to assess the physiological status of triathletes during simulated warm-up sessions at low exercise intensity: a pilot study. BMC sports science, medicine & rehabilitation, 14(1), 203.

Schaffarczyk, M., Rogers, B., Reer, R., & Gronwald, T. (2023). Validation of a non-linear index of heart rate variability to determine aerobic and anaerobic thresholds during incre-mental cycling exercise in women. European journal of applied physiology, 123(2), 299–309.

Sempere-Ruiz, N., Sarabia, J. M., & Moya Ramón, M. (2024). Reliability and validity of a non-linear index of heart rate variability to determine intensity thresholds. Frontiers in Physiology, 15, 1329360.

Smyth, B., Maunder, E., Meyler, S., Hunter, B., & Muniz-Pumares, D. (2022). Decou-pling of Internal and External Workload During a Marathon: An Analysis of Durability in 82,303 Recreational Runners. Sports medicine (Auckland, N.Z.), 52(9), 2283–2295.

Tschakert, G., Handl, T., Weiner, L., Birnbaumer, P., Mueller, A., Groeschl, W., & Hof-mann, P. (2022). Exercise duration: Independent effects on acute physiologic responses and the need for an individualized prescription. Physiological reports, 10(3), e15168.

Van Hooren, B., Bongers, B. C., Rogers, B., & Gronwald, T. (2023a). The Between-Day Reliability of Correlation Properties of Heart Rate Variability During Running. Applied psychophysiology and biofeedback, 48(4), 453–460.

Van Hooren, B., Mennen, B., Gronwald, T., Bongers, B. C., & Rogers, B. (2023b). Corre-lation properties of heart rate variability to assess the first ventilatory threshold and fa-tigue in runners. Journal of sports sciences, 1–10. Advance online publication.

White, D. W., & Raven, P. B. (2014). Autonomic neural control of heart rate during dy-namic exercise: revisi-ted. The Journal of physiology, 592(12), 2491–2500.

Zuccarelli, L., Porcelli, S., Rasica, L., Marzorati, M., & Grassi, B. (2018). Comparison between Slow Components of HR and V˙O2 Kinetics: Functional Significance. Medicine and science in sports and exercise, 50(8), 1649–1657.

Downloads

Posted

2024-05-15