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European Journal of Applied Physiology

, Volume 119, Issue 9, pp 2001–2009 | Cite as

The effect of an ultra-endurance running race on heart rate variability

  • Lewis A. FazackerleyEmail author
  • James W. Fell
  • Cecilia M. Kitic
Original Article

Abstract

Purpose

The aim of this study was to investigate the effect of an ultra-marathon on heart rate variability (HRV) and psychometric indices in endurance runners. In addition, we aimed to determine the magnitude of change and subsequent recovery for 7 days following the race.

Methods

Recreationally trained runners (n = 13 (8M); age = 36.6 ± 7.6 years; height = 174 ± 9 cm; weight = 70.5 ± 9.3 kg) completed measures of HRV upon waking in the morning for 1 week prior to and 1 week following a 64-km running race. Profile of mood states, wellbeing, and muscular soreness were also measured throughout the study period to further contextualise recovery.

Results

An increase in heart rate accompanied by decreased LnSDNN, LnRMSSD, LnLF, LnHF, and LnLF/HF from baseline were observed 1 day post-race (p < 0.05). Indices of HRV had returned to baseline on day 2 of recovery. Perceptual fatigue and muscle soreness increased post-race (immediately following and on day 1 of recovery) (p < 0.05) and took until day 5 of recovery to return to baseline.

Conclusion

The results indicate that cardiac autonomic control is significantly altered in response to a 64 km ultra-marathon. Specifically, parasympathetic activity is suppressed. The change in autonomic control was relatively short-lived, and parasympathetic-related indices had returned to baseline 2 days after the event. Subjective measures of fatigue and wellbeing suggest that athletes were not completely recovered until day 5 post-event, with muscular soreness remaining prominent during this period. A combination of physiological and psychological parameters is important to contextualise recovery in ultra-endurance runners.

Keywords

Parasympathetic Autonomic control Recovery Stress Fatigue 

Abbreviations

ANOVA

Analysis of variance

ANS

Autonomic nervous system

AU

Arbitrary unit

HF

High frequency

HRV

Heart rate variability

LF

Low frequency

Ln

Natural logarithm

POMS

Profile of mood states

RMSSD

Root mean square of successive differences between R–R intervals

RPE

Rating of perceived exertion

SDNN

Standard deviation of the normal-to-normal sinus-initiated inter-beat intervals

Notes

Author contributions

The study was designed by LF, CK, and JF. Data were collected by LF. Data were analysed by LF, CK, and JF. The manuscript was written by LF and CK. All authors read and approved the manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

421_2019_4187_MOESM1_ESM.bat (2 kb)
Supplementary file1 (BAT 2 kb)

References

  1. Aagaard P, Sahlen A, Bergfeldt L, Braunschweig F (2014) Heart rate and its variability in response to running-associations with troponin. Med Sci Sports Exerc 46:1624–1630CrossRefGoogle Scholar
  2. Batterham AM, Hopkins WG (2006) Making meaningful inferences about magnitudes. Int J Sports Physiol Perform 1:50–57CrossRefGoogle Scholar
  3. Bellenger CR, Karavirta L, Thomson RL, Robertson EY, Davison K, Buckley JD (2016) Contextualizing parasympathetic hyperactivity in functionally overreached athletes with perceptions of training tolerance. Int J Sports Physiol Perform 11:685–692CrossRefGoogle Scholar
  4. Bernardi L, Passino C, Robergs R, Appenzeller O (1997) Acute and persistent effects of a 46-kilometer wilderness trail run at altitude: cardiovascular autonomic modulation and baroreflexes. Cardiovasc Res 34:273–280CrossRefGoogle Scholar
  5. Billman GE (2006) Cardiovascular variability is/is not an index of autonomic control of circulation. J Appl Physiol 101:684–685CrossRefGoogle Scholar
  6. Billman GE (2013) The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Front Physiol 4:26Google Scholar
  7. Bosquet L, Merkari S, Arvisais D, Aubert AE (2008) Is heart rate a convenient tool to monitor over-reaching? A systematic review of the literature. Br J Sports Med 42:709–714CrossRefGoogle Scholar
  8. Buchheit M (2014) Monitoring training status with HR measures: do all roads lead to Rome? Front Physiol 5:1–19CrossRefGoogle Scholar
  9. Buchheit M, Laursen PB, Al Haddad H, Ahmaidi S (2009) Exercise-induced plasma volume expansion and post-exercise parasympathetic reactivation. Eur J Appl Physiol 105:471–481CrossRefGoogle Scholar
  10. Da Fonseca-Engelhardt K, Knechtle B, Rust CA, Knechtle P, Lepers R, Rosemann T (2013) Participation and performance trends in ultra-endurance running races under extreme conditions—'Spartathlon' versus 'Badwater'. Extrem Physiol Med 2:15CrossRefGoogle Scholar
  11. Fortes LS, da Costa BDV, Paes PP, do Nascimento Júnior JRA, Fiorese L, Ferreira MEC (2017) Influence of competitive-anxiety on heart rate variability in swimmers. J Sports Sci Med 16:498–504Google Scholar
  12. Foster C, Florhaug JA, Franklin J et al (2001) A new approach to monitoring exercise training. J Strength Cond Res 15:109–115Google Scholar
  13. Gratze G, Rudnicki R, Urban W, Mayer H, Schlogl A, Skrabal F (2005) Hemodynamic and autonomic changes induced by Ironman: prediction of competition time by blood pressure variability. J Appl Physiol 99:1728–1735CrossRefGoogle Scholar
  14. Grove B, Prapavessis H (1992) Preliminary evidence for the reliability and validity of an abbreviated profile of mood states. Int J Sport Psychol 23:93–109Google Scholar
  15. Hautala A, Tulppo MP, Makikallio TH, Laukkanen R, Nissila S, Huikuri HV (2001) Changes in cardiac autonomic regulation after prolonged maximal exercise. Clin Physiol 21:238–245CrossRefGoogle Scholar
  16. Herzig D, Asatryan B, Brugger N, Eser P, Wilhelm M (2018) The association between endurance training and heart rate variability: the confounding role of heart rate. Front Physiol 9:756CrossRefGoogle Scholar
  17. Hopkins WG, Marshall SW, Batterham AM, Hanin J (2009) Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 41:3–13CrossRefGoogle Scholar
  18. Hynynen E, Uusitalo A, Konttinen N, Rusko H (2006) Heart rate variability during night sleep and after awakening in overtrained athletes. Med Sci Sports Exerc 38:313–317CrossRefGoogle Scholar
  19. Kim HS, Yoon KH, Cho JH (2014) Diurnal heart rate variability fluctuations in normal volunteers. J Diabetes Sci Technol 8:431–433CrossRefGoogle Scholar
  20. Lehmann M, Gastmann U, Petersen KG et al (1992) Training-overtraining: performance, and hormone levels, after a defined increase in training volume versus intensity in experienced middle- and long-distance runners. Br J Sports Med 26:233–242CrossRefGoogle Scholar
  21. McLean BD, Coutts AJ, Kelly V, McGuigan MR, Cormack SJ (2010) Neuromuscular, endocrine, and perceptual fatigue responses during different length between-match microcycles in professional rugby league players. Int J Sports Physiol Perform 5:367–383CrossRefGoogle Scholar
  22. Meerlo P, Sgoifo A, Suchecki D (2008) Restricted and disrupted sleep: effects on autonomic function, neuroendocrine stress systems and stress responsivity. Sleep Med Rev 12:197–210CrossRefGoogle Scholar
  23. Meeusen R, Duclos M, Foster C et al (2013) Prevention, diagnosis, and treatment of the overtraining syndrome: joint consensus statement of the European College of Sport Science and the American College of Sports Medicine. Med Sci Sports Exerc 45:186–205CrossRefGoogle Scholar
  24. Mertová M, Botek M, Krejčí J, McKune A (2017) Heart rate variability recovery after a skyrunning marathon and correlates of performance. Acta Gymnica 47:161–170CrossRefGoogle Scholar
  25. Michael S, Graham KS, Davis GM (2017) Cardiac autonomic responses during exercise and post-exercise recovery using heart rate variability and systolic time intervals—a review. Front Physiol 8:301CrossRefGoogle Scholar
  26. Plews DJ, Laursen PB, Kilding AE, Buchheit M (2013a) Evaluating training adaptation with heart-rate measures: a methodological comparison. Int J Sports Physiol Perform 8:688–691CrossRefGoogle Scholar
  27. Plews DJ, Laursen PB, Stanley J, Kilding AE, Buchheit M (2013b) Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Med 43:773–781CrossRefGoogle Scholar
  28. Porges SW (1992) Vagal tone: a physiologic marker of stress vulnerability. Pediatrics 90:498–504Google Scholar
  29. Sasaki K, Maruyama R (2014) Consciously controlled breathing decreases the high-frequency component of heart rate variability by inhibiting cardiac parasympathetic nerve activity. Tohoku J Exp Med 233:155–163CrossRefGoogle Scholar
  30. Saw AE, Main LC, Gastin PB (2016) Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review. Br J Sports Med 50:281–291CrossRefGoogle Scholar
  31. Stanley J, Peake JM, Buchheit M (2013) Cardiac parasympathetic reactivation following exercise: implications for training prescription. Sports Med 43:1259–1277CrossRefGoogle Scholar
  32. Stearns RL, Nolan JK, Huggins RA et al (2018) Influence of cold-water immersion on recovery of elite triathletes following the ironman world championship. J Sci Med Sport 21:846–851CrossRefGoogle Scholar
  33. Whyte G (2014) Age, sex and (the) race: gender and geriatrics in the ultra-endurance age. Extrem Physiol Med 3:1CrossRefGoogle Scholar
  34. Zaryski C, Smith DJ (2005) Training principles and issues for ultra-endurance athletes. Curr Sports Med Rep 4:165–170CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Sport Performance Optimisation Research Team, School of Health Science, College of Health and MedicineUniversity of TasmaniaLauncestonAustralia

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