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Specific Intensity of Physiological Costs during Cyclic Operation of Different Power

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Abstract

The aim of the study is the search for heart rate criteria of the rate of energy consumption during intense cyclic work. In the first part of the study, nine athletes (qualified athletes, age 18.3 ± 1.5 years, weight 72.2 ± 8.04 kg), specializing in BMX (Bicycle MotoX), performed on different days a series of five all-out exercises on a cycle ergometer at a maximal power output and fixed durations of 10, 30, 60, 120 and 360 s. In the second part of the study, eight road racers (qualified athletes, age 21.3 ± 3.4 years, weight 72.9 ± 11.3 kg) performed two exercises on the cycle ergometer at the aerobic threshold and at the anaerobic threshold, each trial lasting 30 min. We observed a high correlation (p < 0.05, R2 > 0.9) between the paired values of the specific intensity of physiological costs (SIPC), calculated from oxygen consumption (\({\text{SIP}}{{{\text{C}}}_{{{{{\text{O}}}_{2}}}}}\)) and heart rate sums (SIPCfh). This correlation was present throughout the whole range of exercise intensities—from the aerobic threshold to maximum anaerobic power. Thus, it is possible to use the SIPCfh parameter in training practice for assessing the rate of energy consumption during exercise.

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REFERENCES

  1. Farfel’, V.S., Physiological features of various capacity works, in Issledovaniya po fiziologii vynoslivosti (Research of Endurance Physiology), Tr. Gos. Tsentr. Nauchno-Issled. Inst. Fiz. Kul’t., vol. 7, no. 3, Moscow: Fizkul’tura i Sport, 1949, p. 13.

  2. Korol’, V.M., Sonkin, V.D., and Ratushnaya, L.I., Muscle performance and heart rate in adolescents depending on the level of puberty, Teor. Prakt. Fiz. Kul’t., 1985, no. 8, p. 27.

  3. Karvonen, M.J., Kentala, E., and Mustala, O., The effects of training on heart rate: a longitudinal study, Ann. Med. Exp. Biol. Fenn., 1957, vol. 35, no. 3, p. 307.

    CAS  PubMed  Google Scholar 

  4. Davis, A. and Convertino, V., A comparison of heart rate methods for predicting endurance training intensity, Med. Sci. Sports, 1975, vol. 7, no. 4, p. 295.

    CAS  PubMed  Google Scholar 

  5. Banister, E.W., Modeling elite athletic performance, in Physiological Testing of the High-Performance Athlete, Champaign, IL: Human Kinetics, 1991.

    Google Scholar 

  6. Sonkin, V.D. and Tambovtseva, R.V., Razvitie myshechnoi energetiki rabotosposobnosti v ontogeneze (Development of Muscular Energy of Working Capacity in Ontogenesis), Moscow: Librokom, 2011.

  7. Pettitt, R.W., Pettitt, C., Cabrera, C.A., and Murray, S.R., A theoretical method of using heart rate to estimate energy expenditure during exercise, Int. J. Sports Sci. Coach, 2007, vol. 2, no. 3, p. 319.

    Article  Google Scholar 

  8. Gillespie, B.D., McCormick, J.J., Mermier, C.M., and Gibson, A.L., Talk test as a practical method to estimate exercise intensity in highly trained competitive male cyclists, J. Strength Cond. Res., 2015, vol. 29, no. 4, p. 894.

    Article  Google Scholar 

  9. Thomson, E.A., Nuss, K., Comstock, A., et al., Heart rate measures from the Apple Watch, Fitbit Charge HR 2, and electrocardiogram across different exercise intensities, J. Sports Sci., 2019, vol. 37, no. 12, p. 1411.

    Article  Google Scholar 

  10. Shcherbina, A., Mattsson, C.M., Waggott, D., et al., Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort, J. Pers. Med., 2017, vol. 7, no. 2, p. 3.

    Article  Google Scholar 

  11. Yang, L., Lu, K., Forsman, M., et al., Evaluation of physiological workload assessment methods using heart rate and accelerometry for a smart wearable system, Ergonomics, 2019, vol. 62, no. 5, p. 694.

    Article  Google Scholar 

  12. Hargreaves, M. and Spriet, L.L., Skeletal muscle energy metabolism during exercise, Nat. Metab., 2020, vol. 2, no. 9, p. 817.

    Article  CAS  Google Scholar 

  13. Matsuura, H., Mukaino, M., Otaka, Y., et al., Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis, BMC Sports Sci. Med. Rehabil., 2019, vol. 11, p. 27.

    Article  Google Scholar 

  14. Beam, W.C. and Adams, G.M., Exercise Physiology: Laboratory Manual, New York: McGraw-Hill, 2019, 8th ed.

    Google Scholar 

  15. Kenney, W.L., Wilmore, J.H., and Costill, D.L., Physiology of Sport and Exercise, Champaign, IL: Human Kinetics, 2019, 7th ed.

    Google Scholar 

  16. Swanwick, E. and Matthews, M., Energy systems: a new look at aerobic metabolism in stressful exercise, MOJ Sports Med., 2018, vol. 2, no. 1, p. 15.

    Article  Google Scholar 

  17. Bertuzzi, R., Melegati, J., Bueno, S., et al., GEDAE-LaB: A free software to calculate the energy system contributions during exercise, PLoS One, 2016, vol. 11, no. 1, p. e0145733.

    Article  Google Scholar 

  18. Volkov, N.I. and Oleinikov, V.I., Bioenergetika sporta (Sports Bioenergetics), Moscow: Sovetskii Sport, 2011.

  19. Volkov, N.I. and Savel’ev, I.A., Oxygen demand and energy cost of intense muscular activity in humans, Hum. Physiol., 2002, vol. 28, no. 4, p. 454.

    Article  CAS  Google Scholar 

  20. Issurin, V.B., Podgotovka sportsmenov XXI v.: nauchnye osnovy i postroenie trenirovki (Training of Athletes in the 21st Century: Scientific Principles and Structure of Training), Moscow: Sport, 2016.

  21. Breslav, I.S., Volkov, N.I., and Tambovtseva, R.V., Dykhanie i myshechnaya aktivnost’v sporte (Respiration and Muscle Activity in Sports), Moscow: Sovetskii Sport, 2013.

  22. Cheng, B., Kuipers, H., Snyder, A.C., et al., A new approach for the determination of ventilatory and lactate thresholds, Int. J. Sports Med., 1992, vol. 13, no. 7, p. 518.

    Article  CAS  Google Scholar 

  23. Volkov, N.I., Popov, O.I., Gabrys’, T., and Shmatlyan-Gabrys’, U., Physiological criteria in defining the standards for training and competition loads in elite sports, Hum. Physiol., 2005, vol. 31, no. 5, p. 606.

    Article  Google Scholar 

  24. Uth, N., Sørensen, H., Overgaard, K., and Pedersen, P.K., Estimation of VO2max from the ratio between HRmax and HRrest—the heart rate ratio method, Eur. J. Appl. Physiol., 2004, vol. 91, no. 1, p. 111.

    Article  Google Scholar 

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ACKNOWLEDGMENTS

We are grateful to A.V. Golov, Cand. Sc. (Phys.-Math.), for help in the statistical analysis of the data obtained.

Funding

This study was performed as a research project supported by the Scientific and Methodological Council of the Center for Sports Innovative Technologies and Training of National Teams of Moskomsport (Moscow). This work was also supported in part by the thematic research plan of the Russian State University of Physical Culture, Sports, Youth, and Tourism (Moscow) for 2019–2020 (Section 03.00.12).

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Correspondence to A. V. Kozlov or V. D. Sonkin.

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Conflict of interest. The authors declare that they have no obvious and potential conflicts of interest related to the publication of this article.

Statement of compliance with standards of research involving humans as subjects. All studies were conducted in accordance with the principles of biomedical ethics formulated in the 1964 Declaration of Helsinki and its subsequent amendments and approved by the local bioethical committee of the Center for Sports Innovative Technologies and Training of National Teams of Moskomsport (protocol no. 12 dated January 27, 2020, Moscow). Each study participant provided a voluntary written signed informed consent after explaining the potential risks and benefits, as well as the nature of the upcoming study.

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Translated by M. Batrukova

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Kozlov, A.V., Vavaev, A.V., Yakushkin, A.V. et al. Specific Intensity of Physiological Costs during Cyclic Operation of Different Power. Hum Physiol 48, 13–19 (2022). https://doi.org/10.1134/S0362119722010078

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  • DOI: https://doi.org/10.1134/S0362119722010078

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