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Journal of Medical Systems

, 43:328 | Cite as

Intra-Individual Variation of HRV during Orthostatic Challenge in Elite Male Field Hockey Players

  • Jason D. VescoviEmail author
Mobile & Wireless Health
Part of the following topical collections:
  1. Mobile & Wireless Health

Abstract

The purpose of this study was to examine the intra-individual variation of heart rate variability (HRV) and heart rate using an orthostatic challenge in elite male athletes during a training camp. Heart rate (variability) was measured upon waking. Log-transformed HRV metrics were evaluated in three segments (first min discarded for stabilization): 0–3 min supine, 3–6 min supine, and standing. Heart rate was assessed while supine, 15 s after standing and average final 30 s standing (Rusko protocol). A RM-ANOVA compared intra-individual means, standard deviations (SD) and coefficients of variation (CV%) for HRV and heart rate. The intraclass correlation coefficient (ICC) and standard error of measurement (SEmeas) were used for relative and absolute reliability, respectively. Time and frequency domain HRV metrics had low variation (CV% <8.5%; SEmeas% ≤4.0%) for 0–3 min supine which was not improved during 3–6 min. Standing HRV had lower ICC and higher SEmeas than supine values. Variability and reliability outcomes for heart rate were comparable to log-transformed HRV metrics. This study uniquely describes the intra-individual variation of HRV metrics during an orthostatic challenge and demonstrated low variability in this cohort of elite male athletes. These data can be helpful for identifying when true individual changes occur for the autonomic nervous system indices in supine and standing positions.

Keywords

Orthostatic challenge LnRMSSD Standard error of measurement Reliable change index Readiness 

Notes

Acknowledgments

Thanks to the athletes for participating and the coaches for their support.

Funding information

This study was funded by the Research Program in Applied Sport Sciences from the Ministry of Tourism, Culture and Sport (Ontario, Canada).

Compliance with ethical standards

Conflict of interest

Author JDV declares that he has no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

References

  1. 1.
    Le Meur, Y., Pichon, A., Schaal, K., Schmitt, L., Louis, J., Gueneron, J., Vidal, P. P., and Hausswirth, C., Evidence of parasympathetic hyperactivity in functionally overreached athletes. Med. Sci. Sports Exerc. 45(11):2061–2071, 2013.  https://doi.org/10.1249/MSS.0b013e3182980125.CrossRefPubMedGoogle Scholar
  2. 2.
    Schmitt, L., Regnard, J., Parmentier, A. L., Mauny, F., Mourot, L., Coulmy, N., and Millet, G. P., Typology of "fatigue" by heart rate variability analysis in elite Nordic-skiers. Int. J. Sports Med. 36(12):999–1007, 2015.  https://doi.org/10.1055/s-0035-1548885.CrossRefPubMedGoogle Scholar
  3. 3.
    Wright, A., Hannon, J., Hegedus, E. J., and Kavchak, A. E., Clinimetrics corner: A closer look at the minimal clinically important difference (MCID). J. Man Manip. Ther. 20(3):160–166, 2012.  https://doi.org/10.1179/2042618612Y.0000000001.CrossRefPubMedPubMedCentralGoogle Scholar
  4. 4.
    Schafer, D., Gjerdalen, G. F., Solberg, E. E., Khokhlova, M., Badtieva, V., Herzig, D., Trachsel, L. D., Noack, P., Karavirta, L., Eser, P. et al., Sex differences in heart rate variability: A longitudinal study in international elite cross-country skiers. Eur. J. Appl. Physiol. 115(10):2107–2114, 2015.  https://doi.org/10.1007/s00421-015-3190-0.CrossRefPubMedGoogle Scholar
  5. 5.
    Plews, D. J., Laursen, P. B., and Buchheit, M., Day-to-day heart rate variability (HRV) recordings in world champion rowers: Appreciating unique athlete characteristics. Int. J. Sports Physiol. Perf.:1–19, 2016.Google Scholar
  6. 6.
    Cipryan, L., Within-session stability of short-term heart rate variability measurement. J. Hum. Kinet. 50:85–92, 2016.  https://doi.org/10.1515/hukin-2015-0146.CrossRefPubMedPubMedCentralGoogle Scholar
  7. 7.
    Farah, B. Q., Lima, A. H., Cavalcante, B. R., de Oliveira, L. M., Brito, A. L., de Barros, M. V., and Ritti-Dias, R. M., Intra-individuals and inter- and intra-observer reliability of short-term heart rate variability in adolescents. Clin. Physiol. Funct. Imaging 36(1):33–39, 2016.  https://doi.org/10.1111/cpf.12190.CrossRefPubMedGoogle Scholar
  8. 8.
    Armstrong, R. G., Kenny, G. P., Green, G., and Seely, A. J., Diurnal variation in heart rate variability before and after maximal exercise testing. Chronobiol. Int. 28(4):344–351, 2011.  https://doi.org/10.3109/07420528.2011.559674.CrossRefPubMedGoogle Scholar
  9. 9.
    Aubert, A. E., Beckers, F., and Ramaekers, D., Short-term heart rate variability in young athletes. J. Cardiol. 37(Suppl 1):85–88, 2001.PubMedGoogle Scholar
  10. 10.
    Abad, C., Kobal, R., Kitamura, K., Gil, S., Pereira, L., Loturco, I., and Nakamura, F., Heart rate variability in elite sprinters: Effects of gender and body position. Clin. Physiol. Funct. Imaging 37(4):442–447, 2017.  https://doi.org/10.1111/cpf.12331.CrossRefPubMedGoogle Scholar
  11. 11.
    Baek, H. J., and Shin, J., Effect of missing inter-beat interval data on heart rate variability analysis using wrist-worn wearables. J. Med. Syst. 41:147, 2017.  https://doi.org/10.1007/s10916-017-0796-2.CrossRefPubMedGoogle Scholar
  12. 12.
    Song, H. S., and Lehrer, P. M., The effects of specific respiratory rates on heart rate and heart rate variability. Appl. Psychophysiol. Biofeedback 28(1):13–23, 2003.CrossRefGoogle Scholar
  13. 13.
    Kiviniemi, A. M., Tulppo, M. P., Hautala, A. J., Vanninen, E., and Uusitalo, A. L., Altered relationship between R-R interval and R-R interval variability in endurance athletes with overtraining syndrome. Scand. J. Med. Sci. Sports 24(2):e77–e85, 2014.  https://doi.org/10.1111/sms.12114.CrossRefPubMedGoogle Scholar
  14. 14.
    Plews, D. J., Laursen, P. B., Kilding, A. E., and Buchheit, M., Evaluating training adaptation with heart-rate measures: A methodological comparison. Int. J. Sports Physiol. Perf. 8:688–691, 2013.CrossRefGoogle Scholar
  15. 15.
    Pichot, V., Roche, F., Gaspoz, J. M., Enjolras, F., Antoniadis, A., Minini, P., Costes, F., Busso, T., Lacour, J. R., and Barthelemy, J. C., Relation between heart rate variability and training load in middle-distance runners. Med. Sci. Sports Exerc. 32(10):1729–1736, 2000.CrossRefGoogle Scholar
  16. 16.
    Schmitt, L., Regnard, J., Desmarets, M., Mauny, F., Mourot, L., Fouillot, J. P., Coulmy, N., and Millet, G., Fatigue shifts and scatters heart rate variability in elite endurance athletes. PLoS ONE 8:e71588, 2013.  https://doi.org/10.1371/journal.pone.0071588.CrossRefPubMedPubMedCentralGoogle Scholar
  17. 17.
    Kiviniemi, A. M., Hautala, A. J., Kinnunen, H., Nissila, J., Virtanen, P., Karjalainen, J., and Tulppo, M. P., Daily exercise prescription on the basis of HR variability among men and women. Med. Sci. Sports Exerc. 42(7):1355–1363, 2010.CrossRefGoogle Scholar
  18. 18.
    Kiviniemi, A. M., Hautala, A. J., Seppanen, T., Makikallio, T. H., Huikuri, H. V., and Tulppo, M. P., Saturation of high-frequency oscillations of R-R intervals in healthy subjects and patients after acute myocardial infarction during ambulatory conditions. Am. J. Physiol. Heart Circ. Physiol. 287(5):H1921–H1927, 2004.  https://doi.org/10.1152/ajpheart.00433.2004.CrossRefPubMedGoogle Scholar
  19. 19.
    Rusko, H. K., Harkonen, M., and Pakarinen, A., Overtraining effects on hormonal and autonomic regulation in young cross-country skiers. Med. Sci. Sports Exerc. 26:S64, 1994.CrossRefGoogle Scholar
  20. 20.
    Vescovi, J. D., and Watson, G., Variability of body mass and urine specific gravity in elite male field hockey players during a pre-olympic training camp. Int. J. Sport Nutr. Exerc. Metab.:1–20, 2018.  https://doi.org/10.1123/ijsnem.2018-0121.CrossRefGoogle Scholar
  21. 21.
    Hynynen, E., Uusitalo, A., Konttinen, N., and Rusko, H., Cardiac autonomic responses to standing up and cognitive task in overtrained athletes. Int. J. Sports Med. 29(7):552–558, 2008.  https://doi.org/10.1055/s-2007-989286.CrossRefPubMedGoogle Scholar
  22. 22.
    Williams, D. P., Jarczok, M. N., Ellis, R. J., Hillecke, T. K., Thayer, J. F., and Koenig, J., Two-week test-retest reliability of the polar(R) RS800CX to record heart rate variability. Clin. Physiol. Funct. Imaging., 2016.  https://doi.org/10.1111/cpf.12321.CrossRefGoogle Scholar
  23. 23.
    Naranjo Orellana, J., de la Cruz, T. B., Sarabia Cachadina, E., de Hoyo, M., and Dominguez Cobo, S., Two new indexes for the assessment of autonomic balance in elite soccer players. Int. J. Sports Physiol. Perf. 10:452–457, 2015.  https://doi.org/10.1123/ijspp.2014-0235.CrossRefGoogle Scholar
  24. 24.
    Flatt, A. A., and Esco, M. R., Heart rate variability stabilization in athletes: Towards more convenient data acquisition. Clin. Physiol. Funct. Imaging 36(5):331–336, 2016.  https://doi.org/10.1111/cpf.12233.CrossRefPubMedGoogle Scholar
  25. 25.
    Cohen, J., Statistical power analysis for the behavioral sciences. 2nd edition. Hillsdale: Erlbaum, 1988.Google Scholar
  26. 26.
    Hopkins, W. G., Marshall, S. W., Batterham, A. M., and Hanin, J., Progressive statistics for studies in sports medicine and exercise science. Med. Sci. Sports Exerc. 41(1):3–13, 2009.CrossRefGoogle Scholar
  27. 27.
    Koo, T. K., and Li, M. Y., A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med. 15(2):155–163, 2016.  https://doi.org/10.1016/j.jcm.2016.02.012.CrossRefPubMedPubMedCentralGoogle Scholar
  28. 28.
    McManus, I. C., The misinterpretation of the standard error of measurement in medical education: A primer on the problems, pitfalls and peculiarities of the three different standard errors of measurement. Med. Teach. 34(7):569–576, 2012.  https://doi.org/10.3109/0142159X.2012.670318.CrossRefPubMedGoogle Scholar
  29. 29.
    Flatt, A. A., and Howells, D., Effects of varying training load on heart rate variability and running performance among an Olympic rugby sevens team. J. Sci. Med. Sport 22:222–226, 2019.  https://doi.org/10.1016/j.jsams.2018.07.014.CrossRefPubMedGoogle Scholar
  30. 30.
    Sasaki, K., and Maruyama, R., Consciously controlled breathing decreases the high-frequency component of heart rate variability by inhibiting cardiac parasympathetic nerve activity. Tohoku J. Exp. Med. 233:155–163, 2014.CrossRefGoogle Scholar
  31. 31.
    Driscoll, D., and Dicicco, G., The effects of metronome breathing on the variability of autonomic activity measurements. J. Manipulative Physiol. Ther. 23:610–614, 2000.  https://doi.org/10.1067/mmt.2000.110944.CrossRefPubMedGoogle Scholar
  32. 32.
    Naranjo, J., De la Cruz, B., Sarabia, E., De Hoyo, M., and Dominguez-Cobo, S., Heart rate variability: A follow-up in elite soccer players throughout the season. Int. J. Sports Med. 36(11):881–886, 2015.  https://doi.org/10.1055/s-0035-1550047.CrossRefPubMedGoogle Scholar
  33. 33.
    Proietti, R., di Fronso, S., Pereira, L. A., Bortoli, L., Robazza, C., Nakamura, F. Y., and Bertollo, M., Heart rate variability discriminates competitive levels in professional soccer players. J. Strength Cond. Res. 31(6):1719–1725, 2017.  https://doi.org/10.1519/JSC.0000000000001795.CrossRefPubMedGoogle Scholar
  34. 34.
    Rave, G., and Fortrat, J. O., Heart rate variability in the standing position reflects training adaptation in professional soccer players. Eur. J. Appl. Physiol. 116(8):1575–1582, 2016.  https://doi.org/10.1007/s00421-016-3416-9.CrossRefPubMedGoogle Scholar
  35. 35.
    Gisselman, A. S., D'Amico, M., and Smoliga, J. M., Optimizing inter-session reliability of heart rate variability - the effects of artefact correction and breathing type. J. Strength Cond. Res., 2017.  https://doi.org/10.1519/JSC.0000000000002258.
  36. 36.
    Nakamura, F. Y., Pereira, L. A., Esco, M. R., Flatt, A. A., Moraes, J. E., Cal Abad, C. C., and Loturco, I., Intraday and Interday reliability of ultra-short-term heart rate variability in Rugby union players. J. Strength Cond. Res. 31(2):548–551, 2017.  https://doi.org/10.1519/JSC.0000000000001514.CrossRefPubMedGoogle Scholar
  37. 37.
    Christensen, L., and Mendoza, J. L., A method of assessing change in a single subject: An alteration of the RC index. Behav. Ther. 15:305–308, 1986.CrossRefGoogle Scholar
  38. 38.
    Yildiz, M., and Ider, Y. Z., Model based and experimental investigation of respiratory effect on the HRV power spectrum. Physiol. Meas. 27:973–988, 2006.  https://doi.org/10.1088/0967-3334/27/10/004.CrossRefPubMedGoogle Scholar
  39. 39.
    Gasior, J. S., Sacha, J., Jelen, P. J., Zielinski, J., and Przybylski, J., Heart rate and respiratory rate influence on heart rate variability repeatability: Effects of the correction for the prevailing heart rate. Frontiers in Physiology 7:356, 2016.  https://doi.org/10.3389/fphys.2016.00356.CrossRefPubMedPubMedCentralGoogle Scholar
  40. 40.
    Pinna, G. D., Maestri, R., Torunski, A., Danilowicz-Szymanowicz, L., Szwoch, M., La Rovere, M. T., and Raczak, G., Heart rate variability measures: A fresh look at reliability. Clin. Sci. 113:131–140, 2007.  https://doi.org/10.1042/CS20070055.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Kinesiology and Physical Education, Graduate School of Exercise ScienceUniversity of TorontoTorontoCanada

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