Heart rate variability in cross-country skiers with different level of maximum oxygen consumption

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Abstract

AIM: This research aimed to study heart rate variability (HRV) in cross-country skiers with different levels of maximal oxygen consumption (VO2max).

MATERIALS AND METHODS: HRV analysis was carried out using the “Ecosan-2007” (“Medical Computer Systems,” Russia) complex in 52 cross-country skiers from the Komi Republic team (candidates for master of sports and master of sports of Russia). The “Oxycon Pro” ergospirometric system (“Erich Jaeger,” Germany) was used to calculate VO2max. To identify the HRV patterns in individuals with different levels of VO2max, volunteers were divided into two groups: with VO2max up to 4400 ml/min (n=27) and over 4400 ml/min (n=25). The Mann–Whitney U-test was used to ascertain whether the differences between groups were statistically significant. A Spearman correlation test was used to analyze the relationship between the VO2max and HRV.

RESULTS: Athletes with different levels of VO2max showed significant differences in several HRV indicators as follows: absolute values of LF and VLF waves, the relative value of HF waves, LF/HF, and IC indices. Correlation analysis indicated the presence of a significant negative correlation between the absolute values of VO2max and MxDMn, MxRMn, LF/HF, IC, power of LF, and LF%. VLF waves. Furthermore, a positive correlation was observed between VO2max and HF%. The relative values of the VO2max/kg showed a significant negative correlation with MxRMn, TP, LF, VLF, LF/HF, and IC; and positive with HF%.

CONCLUSION: In cross-country skiers, a significant correlation was identified between VO2max and HRV parameters. Compared to Athletes with lower VO2max, those with higher VO2max had a more efficient mode of heart rate regulation.

About the authors

Alexander L. Markov

Institute of Physiology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences

Author for correspondence.
Email: volkarb@mail.ru
ORCID iD: 0000-0002-3987-5686
SPIN-code: 3705-2140

Cand. Sci. (Biol.)

Russian Federation, Syktyvkar

References

  1. Sandbakk Ø, Holmberg HC. Physiological capacity and training routines of elite cross-country skiers: approaching the upper limits of human endurance. Int J Sports Physiol Perform. 2017;12(8):1003–1011. doi: 10.1123/ijspp.2016-0749
  2. Boiko ER, Loginova TP, Varlamova NG. Physiological and biochemical mechanisms to ensure the sports activities of winter cyclic sports. Boiko ER, editor. Syktyvkar: Komi respublikanskaja tipografija; 2019. 256 p. (In Russ).
  3. Sandbakk Ø, Holmberg HC, Leirdal S, Ettema G. The physiology of world-class sprint skiers. Scand J Med Sci Sports. 2011;21(6):e9–e16. doi: 10.1111/j.1600-0838.2010.01117.x
  4. Dong JG. The role of heart rate variability in sports physiology. Exp Ther Med. 2016;11(5):1531–1536. doi: 10.3892/etm.2016.3104
  5. Rylova NV, Biktimirova AA, Nazarenko AC. Level of maximal oxygen consumption as an indicator of performance of athletes specializing in different sports. Practical medicine. 2014;9:147–150. (In Russ).
  6. Johansen JM, Goleva-Fjellet S, Sunde A, et al. No change — no gain; the effect of age, sex, selected genes and training on physiological and performance adaptations in cross-country skiing. Front Physiol. 2020;11:581339. doi: 10.3389/fphys.2020.581339
  7. Tiwari R, Kumar R, Malik S, et al. Аnalysis of heart rate variability and implication of different factors on heart rate variability. Curr Cardiol Rev. 2021;17(5):e160721189770. doi: 10.2174/1573403X16999201231203854
  8. Baevskii RM, Ivanov GG, Chireikin LV, et al. Analiz variabel'nosti serdechnogo ritma pri ispol'zovanii razlichnykh elektrokardiograficheskikh system. Vestnik aritmologii. 2001;24:65–87. (In Russ).
  9. Karpman VL, Belocerkovskij ZB, Gudkov IA. Testirovanie v sportivnoj medicine. Moscow: Fizkul'tura i sport; 1988. 207 p. (In Russ).
  10. Rutkovskiy AV, Koinosov AP, Durygina GG. Dynamics of spirometry indicators and maximum oxygen consumption in athletes of cyclical winter sports in the natural climatic conditions of the middle Ob Region. The Scientific and Practical Journal of Medicine. 2019;3:66–71. (In Russ). doi: 10.25017/2306-1367-21-3-66-71
  11. Sandbakk Ø, Ettema G, Holmberg HC. Gender differences in endurance performance by elite cross-country skiers are influenced by the contribution from poling. Scand J Med Sci Sports. 2014;24(1):28–33. doi: 10.1111/j.1600-0838.2012.01482.x
  12. Peterman JE, Arena R, Myers J, et al. Development of global reference standards for directly measured cardiorespiratory fitness: a report from the fitness registry and importance of exercise national database (FRIEND). Mayo Clin Proc. 2020;95(2):255–264. doi: 10.1016/j.mayocp.2019.06.013
  13. Sagelv EH, Engseth TP, Pedersen S, et al. Physiological comparisons of elite male visma ski classics and national level cross-country skiers during uphill treadmill roller skiing. Front Physiol. 2018;9:1523. doi: 10.3389/fphys.2018.01523
  14. Tønnessen E, Haugen TA, Hem E, et al. Maximal aerobic capacity in the winter-Olympics endurance disciplines: Olympic-medal benchmarks for the time period 1990–2013. Int J Sports Physiol Perform. 2015;10(7):835–839. doi: 10.1123/ijspp.2014-0431
  15. Skattebo Ø, Losnegard T, Stadheim HK. Double-Poling physiology and kinematics of elite cross-country skiers: specialized long-distance versus all-round skiers. Int J Sports Physiol Perform. 2019;14(9):1190–1199. doi: 10.1123/ijspp.2018-0471
  16. Schmitt L, Regnard J, Coulmy N, Millet GP. Influence of training load and altitude on heart rate variability fatigue patterns in elite Nordic skiers. Int J Sports Med. 2018;39(10):773–781. doi: 10.1055/a-0577-4429
  17. Calbet JA, Jensen-Urstad M, van Hall G, et al. Maximal muscular vascular conductances during whole body upright exercise in humans. J Physiol. 2004;558(Pt 1):319–331. doi: 10.1113/jphysiol.2003.059287
  18. Carlsson T, Carlsson M, Felleki M, et al. Scaling maximal oxygen uptake to predict performance in elite-standard men cross-country skiers. J Sports Sci. 2013;31(16):1753–1760. doi: 10.1080/02640414.2013.803586
  19. Ingjer F. Maximal oxygen uptake as a predictor of performance ability in women and men elite cross-country skiers. Scandinavian Journal of Medicine & Science in Sports. 1991;1(1):25–30. doi: 10.1111/j.1600-0838.1991.tb00267.x
  20. Solonin YuG, Loginova TP, Markov AL, et al. Effect of the latitudinal factor on the physical performance in cross-country skiers of the Komi Republic. Journal of Medical and Biological Research. 2018;6(4):425–434. (In Russ). doi: 10.17238/issn2542-1298.2018.6.4.425
  21. Evdokimov VG, Rogachevskaja OV, Varlamova NG. Modulirujushhee vlijanie faktorov Severa na kardiorespiratornuju sistemu cheloveka v ontogeneze. Ekaterinburg: UrO RAN; 2007. 257 p. (In Russ).
  22. Grzebisz N. Cardiovascular adaptations to four months training in middle-aged amateur long-distance skiers. Diagnostics (Basel). 2020;10(7):442. doi: 10.3390/diagnostics10070442
  23. Vikulov AD, Bocharov MV, Kaunina DV, Bojkov VL. Reguljacija serdechnoj dejatel'nosti u sportsmenov vysokoj kvalifikacii. Vestnik sportivnoj nauki. 2017;(2):31–36. (In Russ).
  24. Biktimirova AA, Rylova NV, Samoylov AS. Application of cardiorespiratory exercise testing in sports medicine. Practical medicine. 2014;3:50–53. (In Russ).
  25. Larsson P, Henriksson-Larsén K. Body composition and performance in cross-country skiing. Int J Sports Med. 2008;29(12):971–975. doi: 10.1055/s-2008-1038735
  26. Polat M, Korkmaz Eryılmaz S, Aydoğan S. Seasonal variations in body composition, maximal oxygen uptake, and gas exchange threshold in cross-country skiers. Open Access J Sports Med. 2018;9:91–97. doi: 10.2147/OAJSM.S154630

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