Int J Sports Med 2021; 42(01): 48-55
DOI: 10.1055/a-1214-6309
Physiology & Biochemistry

Second Ventilatory Threshold Assessed by Heart Rate Variability in a Multiple Shuttle Run Test

1   School of Physical Education and Sports Science, National and Kapodistrian University of Athens, Athinon, Greece
,
Stylianos N. Kounalakis
2   Faculty of Physical and Cultural Education, Evelpidon Military Academy, Vari, Greece
,
Panagiotis G. Miliotis
1   School of Physical Education and Sports Science, National and Kapodistrian University of Athens, Athinon, Greece
,
Nikolaos D Geladas
1   School of Physical Education and Sports Science, National and Kapodistrian University of Athens, Athinon, Greece
› Author Affiliations

Abstract

Many studies have focused on heart rate variability in association with ventilatory thresholds. The purpose of the current study was to consider the ECG-derived respiration and the high frequency product of heart rate variability as applicable methods to assess the second ventilatory threshold (VT2). Fifteen healthy young soccer players participated in the study. Respiratory gases and ECGs were collected during an incremental laboratory test and in a multistage shuttle run test until exhaustion. VΤ2 was individually calculated using the deflection point of ventilatory equivalents. In addition, VT2 was assessed both by the deflection point of ECG-derived respiration and high frequency product. Results showed no statistically significant differences between VT2, and the threshold as determined with high frequency product and ECG-derived respiration (F(2,28)=0.83, p=0.45, η2=0.05). A significant intraclass correlation was observed for ECG-derived respiration (r=0.94) and high frequency product (r=0.95) with VT2. Similarly, Bland Altman analysis showed a considerable agreement between VT2 vs. ECG-derived respiration (mean difference of −0.06 km·h−1, 95% CL: ±0.40) and VT2 vs. high frequency product (mean difference of 0.02 km·h−1, 95% CL: ±0.38). This study suggests that, high frequency product and ECG-derived respiration are indeed reliable heart rate variability indices determining VT2 in a field shuttle run test



Publication History

Received: 19 November 2019

Accepted: 30 June 2020

Article published online:
07 August 2020

© 2020. Thieme. All rights reserved.

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  • References

  • 1 Reinhard U, Muller PH, Schmulling RM. Determination of anaerobic threshold by the ventilation equivalent in normal individuals. Respiration 1979; 38: 36-42
  • 2 Beaver WL, Wasserman K, Whipp BJ. A new method for detecting anaerobic threshold by gas exchange. J Appl Physiol (1985) 1986: 2020-2027
  • 3 Skinner JS, McLellan TM. The transition from aerobic to anaerobic metabolism. Res Q Exerc Sport 1980; 51: 234-248
  • 4 Binder RK, Wonisch M, Corra U. et al. Methodological approach to the first and second lactate threshold in incremental cardiopulmonary exercise testing. Eur J Cardiovasc Prev Rehabil 2008; 15: 726-734
  • 5 Seiler KS, Kjerland GO. Quantifying training intensity distribution in elite endurance athletes: is there evidence for an “optimal” distribution?. Scand J Med Sci Sports 2006; 16: 49-56
  • 6 He Z, Tian Y, Valenzuela PL. et al. Myokine/Adipokine response to “Aerobic” exercise: is it just a matter of exercise load?. Front Physiol 2019; 10: 691
  • 7 Abt G, Lovell R. The use of individualized speed and intensity thresholds for determining the distance run at high-intensity in professional soccer. J Sports Sci 2009; 27: 893-898
  • 8 Sandercock GR, Brodie DA. The use of heart rate variability measures to assess autonomic control during exercise. Scand J Med Sci Sports 2006; 16: 302-313
  • 9 Anosov O, Patzak A, Kononovich Y. et al. High-frequency oscillations of the heart rate during ramp load reflect the human anaerobic threshold. Eur J Appl Physiol 2000; 83: 388-394
  • 10 Riley M, Maehara K, Porszasz J. et al. Association between the anaerobic threshold and the break-point in the double product/work rate relationship. Eur J Appl Physiol Occup Physiol 1997; 75: 14-21
  • 11 Cottin F, Lepretre PM, Lopes P. et al. Assessment of ventilatory thresholds from heart rate variability in well-trained subjects during cycling. Int J Sports Med 2006; 27: 959-967
  • 12 Cottin F, Medigue C, Lopes P. et al. Ventilatory thresholds assessment from heart rate variability during an incremental exhaustive running test. Int J Sports Med 2007; 28: 287-294
  • 13 Di Michele R, Gatta G, Di Leo A. et al. Estimation of the anaerobic threshold from heart rate variability in an incremental swimming test. J Strength Cond Res 2012; 26: 3059-3066
  • 14 Cassirame J, Tordi N, Fabre N. et al. Heart rate variability to assess ventilatory threshold in ski-mountaineering. Eur J Sport Sci 2015; 15: 615-622
  • 15 Buchheit M, Solano R, Millet GP. Heart-rate deflection point and the second heart-rate variability threshold during running exercise in trained boys. Pediatr Exerc Sci 2007; 19: 192-204
  • 16 Moody GB, Mark RG, Zoccola A. et al. Derivation of respiratory signals from multi-lead ECGs. Comput Cardiol 1985; 12: 113-116
  • 17 Tarvainen MP, Niskanen JP, Lipponen JA. et al. Kubios HRV--heart rate variability analysis software. Comput Methods Programs Biomed 2014; 113: 210-220
  • 18 Karapetian GK, Engels HJ, Gretebeck RJ. Use of heart rate variability to estimate LT and VT. Int J Sports Med 2008; 29: 652-657
  • 19 Harriss DJ, MacSween A, Atkinson G. Ethical standards in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40: 813-817
  • 20 Leger LA, Mercier D, Gadoury C. et al. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci 1988; 6: 93-101
  • 21 Algroy EA, Hetlelid KJ, Seiler S. et al. Quantifying training intensity distribution in a group of Norwegian professional soccer players. Int J Sports Physiol Perform 2011; 6: 70-81
  • 22 Kuipers H, Verstappen FT, Keizer HA. et al. Variability of aerobic performance in the laboratory and its physiologic correlates. Int J Sports Med 1985; 6: 197-201
  • 23 Cottin F, Medigue C, Lepretre PM. et al. Heart rate variability during exercise performed below and above ventilatory threshold. Med Sci Sports Exerc 2004; 36: 594-600
  • 24 Eckberg DL. Point:counterpoint: respiratory sinus arrhythmia is due to a central mechanism vs. respiratory sinus arrhythmia is due to the baroreflex mechanism. J Appl Physiol (1985) 2009; 106: 1740-1742 discussion 1744
  • 25 Casadei B, Moon J, Johnston J. et al. Is respiratory sinus arrhythmia a good index of cardiac vagal tone in exercise?. J Appl Physiol (1985) 1996; 81: 556-564
  • 26 di Prampero PE, Fusi S, Sepulcri L. et al. Sprint running: A new energetic approach. J Exp Biol 2005; 208: 2809-2816
  • 27 Buglione A, di Prampero PE. The energy cost of shuttle running. Eur J Appl Physiol 2013; 113: 1535-1543
  • 28 Jones AM, Doust JH. A 1% treadmill grade most accurately reflects the energetic cost of outdoor running. J Sports Sci 1996; 14: 321-327
  • 29 Vanhees L, Stevens A. Exercise intensity: a matter of measuring or of talking?. J Cardiopulm Rehabil 2006; 26: 78-79
  • 30 Buchheit M, Laursen PB. High-intensity interval training, solutions to the programming puzzle: Part I: cardiopulmonary emphasis. Sports Med 2013; 43: 313-338
  • 31 Lucia A, Hoyos J, Perez M. et al. Heart rate and performance parameters in elite cyclists: a longitudinal study. Med Sci Sports Exerc 2000; 32: 1777-1782