Literature DB >> 35321146

Correlation Properties of Heart Rate Variability during a Marathon Race in Recreational Runners: Potential Biomarker of Complex Regulation during Endurance Exercise.

Thomas Gronwald1, Bruce Rogers2, Laura Hottenrott3, Olaf Hoos4, Kuno Hottenrott5.   

Abstract

There is only very limited data examining cardiovascular responses in real-world endurance training/competition. The present study examines the influence of a marathon race on non-linear dynamics of heart rate (HR) variability (HRV). Eleven male recreational runners performed a self-paced marathon road race on an almost flat profile. During the race, heart rate and beat-to-beat (RR) intervals were recorded continuously. Besides HRV time-domain measurements, fractal correlation properties using short-term scaling exponent alpha1 of Detrended Fluctuation Analysis (DFA-alpha1) were calculated. The mean finishing time was 3:10:22 ± 0:17:56 h:min:s with a blood lactate concentration of 4.04 ± 1.12 mmol/L at the end of the race. Comparing the beginning to the end segment of the marathon race (Begin vs. End) significant increases could be found for km split time (p < .001, d = .934) and for HR (p = .010, d = .804). Significant decreases could be found for meanRR (p = .013, d = .798) and DFA-alpha1 (p = .003, d = 1.132). DFA-alpha1 showed an appropriate dynamic range throughout the race consisting of both uncorrelated and anti-correlated values. Lactate was consistent with sustained high intensity exercise when measured at the end of the event. Despite the runners slowing after halfway, DFA-alpha1 continued to fall to values seen in the highest intensity domain during incremental exercise testing in agreement with lactate assessment. Therefore, the discrepancy between the reduced running pace with that of the decline of DFA-alpha1, demonstrate the benefit of using this dimensionless HRV index as a biomarker of internal load during exercise over the course of a marathon race. © Journal of Sports Science and Medicine.

Entities:  

Keywords:  Autonomic nervous system; Detrended Fluctuation Analysis; endurance exercise; non-linear dynamics

Mesh:

Substances:

Year:  2021        PMID: 35321146      PMCID: PMC8488837          DOI: 10.52082/jssm.2021.557

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  25 in total

1.  Physiological and metabolic responses of triathletes to a simulated 30-min time-trial in cycling at self-selected intensity.

Authors:  S Perrey; F Grappe; A Girard; A Bringard; A Groslambert; W Bertucci; J D Rouillon
Journal:  Int J Sports Med       Date:  2003-02       Impact factor: 3.118

2.  Use of heart rate variability to estimate LT and VT.

Authors:  G K Karapetian; H J Engels; R J Gretebeck
Journal:  Int J Sports Med       Date:  2008-01-22       Impact factor: 3.118

3.  Non-linear dynamics of heart rate variability during incremental cycling exercise.

Authors:  Thomas Gronwald; Olaf Hoos; Sebastian Ludyga; Kuno Hottenrott
Journal:  Res Sports Med       Date:  2018-07-24       Impact factor: 4.674

4.  Plasma lactate accumulation and distance running performance.

Authors:  P A Farrell; J H Wilmore; E F Coyle; J E Billing; D L Costill
Journal:  Med Sci Sports       Date:  1979

5.  Quantitative beat-to-beat analysis of heart rate dynamics during exercise.

Authors:  M P Tulppo; T H Mäkikallio; T E Takala; T Seppänen; H V Huikuri
Journal:  Am J Physiol       Date:  1996-07

6.  Characterization of electrocardiogram changes throughout a marathon.

Authors:  Vanessa Franco; Clifton Callaway; David Salcido; Serina McEntire; Ronald Roth; David Hostler
Journal:  Eur J Appl Physiol       Date:  2014-05-16       Impact factor: 3.078

7.  Network Physiology of Exercise: Vision and Perspectives.

Authors:  Natàlia Balagué; Robert Hristovski; Maricarmen Almarcha; Sergi Garcia-Retortillo; Plamen Ch Ivanov
Journal:  Front Physiol       Date:  2020-12-11       Impact factor: 4.566

8.  Dynamical heart beat correlations during running.

Authors:  Matti Molkkari; Giorgio Angelotti; Thorsten Emig; Esa Räsänen
Journal:  Sci Rep       Date:  2020-08-12       Impact factor: 4.379

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