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Int J Sports Med 2021; 42(04): 314-322
DOI: 10.1055/a-1273-7589
Training & Testing

Maximal Lactate Accumulation Rate in All-out Exercise Differs between Cycling and Running

Oliver Jan Quittmann 
1   Institute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany
,
Yannick Max Schwarz
1   Institute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany
,
Jonas Mester
2   Institute of Outdoor Sports and Environmental Science, German Sport University Cologne, Cologne, Germany
,
Tina Foitschik
1   Institute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany
,
Thomas Abel
1   Institute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany
,
Heiko Klaus Strüder
1   Institute of Movement and Neurosciences, German Sport University Cologne, Cologne, Germany
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Abstract

This study aims to compare maximal lactate accumulation rate (V̇ Lamax) and power output (Pmax) between cycling and running in terms of reliability, differences between, and correlations among modalities. Eighteen competitive triathletes performed a 15-s all-out exercise test in cycling and a 100-m sprint test in running. Each test was performed twice and separated by one week. Exercise tests in cycling were performed on an ergometer whereas sprint tests in running were performed on an indoor track. Differences between trials and exercise modality were analyzed using two-way ANOVA. V̇ Lamax (ICC=0.894, ICC=0.868) and Pmax (ICC=0.907, ICC=0.965) attained ‘good’ to ‘excellent’ reliability in both cycling and running, respectively. V̇ Lamax was higher in running (d=0.709, p=0.016) whereas Pmax was lower in running (d=−0.862, p < 0.001). For V̇ Lamax, limits of agreement between modalities ranged from −0.224 to +0.437 mmol·l-1·s-1. Pmax correlated between modalities (r=0.811, p < 0.001), whereas no correlation was found in V̇ Lamax (r=0.418, p=0.084). V̇ Lamax is highly reliable in both modalities and higher in running compared to cycling. Since V̇ Lamax does not correlate between cycling and running, it should be determined sport-specifically.

Key words

V̇ Lamax - glycolytic rate - exercise modality - exercise mode - reliability - anaerobic power

Supplementary Material



Publication History

Received: 10 January 2020

Accepted: 18 September 2020

Article published online:
02 November 2020

© 2021. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • References

  • 1 Basset DR, Howley ET. Limiting factors for maximum oxygen uptake and determinants of endurance performance. Med Sci Sports Exerc. 2000; 32: 70-84
    PubMedGoogle Scholar
  • 2 Joyner MJ, Coyle EF. Endurance exercise performance: The physiology of champions. J Physiol 2008; 586: 35-44
    Google Scholar
  • 3 Sperlich PF, Holmberg H-C, Reed JL. et al. Individual versus standardized running protocols in the determination of VO2max. J Sports Sci Med 2015; 14: 386-393
    PubMedGoogle Scholar
  • 4 Heck H, Schulz H, Bartmus U. Diagnostics of anaerobic power and capacity. Eur J Sport Sci 2003; 3: 1-23
    Google Scholar
  • 5 Manunzio C, Mester J, Kaiser W. et al. Training intensity distribution and changes in performance and physiology of a 2nd place finisher team of the race across America over a 6-month preparation period. Front Physiol 2016; 7: 642
    Google Scholar
  • 6 Quittmann OJ, Abel T, Zeller S. et al. Lactate kinetics in handcycling under various exercise modalities and their relationship to performance measures in able-bodied participants. Eur J Appl Physiol 2018; 118: 1493-1505
    CrossrefPubMedGoogle Scholar
  • 7 Quittmann OJ, Appelhans D, Abel T. et al. Evaluation of a sport-specific field test to determine maximal lactate accumulation rate and sprint performance parameters in running. J Sci Med Sport 2020; 23: 27-34
    CrossrefPubMedGoogle Scholar
  • 8 Mader A. Glycolysis and oxidative phosphorylation as a function of cytosolic phosphorylation state and power output of the muscle cell. Eur J Appl Physiol 2003; 88: 317-338
    CrossrefPubMedGoogle Scholar
  • 9 Hauser T, Adam J, Schulz H. Comparison of calculated and experimental power in maximal lactate-steady state during cycling. Theor Biol Med Model 2014; 11: 25
    CrossrefPubMedGoogle Scholar
  • 10 Faude O, Hecksteden A, Hammes D. et al. Reliability of time-to-exhaustion and selected psycho-physiological variables during constant-load cycling at the maximal lactate steady-state. Appl Physiol Nutr Metab 2017; 42: 142-147
    CrossrefPubMedGoogle Scholar
  • 11 Beneke R. Methodological aspects of maximal lactate steady state-implications for performance testing. Eur J App Physiol 2003; 89: 95-99
    CrossrefPubMedGoogle Scholar
  • 12 Hauser T, Bartsch D, Baumgärtel L. et al. Reliability of maximal lactate-steady-state. Int J Sports Med 2013; 34: 196-199
    PubMedGoogle Scholar
  • 13 Hommel J, Öhmichen S, Rudolph UM. et al. Effects of six-week sprint interval or endurance training on calculated power in maximal lactate steady state. Biol Sport 2019; 36: 47-54
    CrossrefPubMedGoogle Scholar
  • 14 Millet GP, Vleck VE, Bentley DJ. Physiological differences between cycling and running: Lessons from triathletes. Sports Med 2009; 39: 179-206
    CrossrefPubMedGoogle Scholar
  • 15 Schabort EJ, Killian SC. Clair Gibson A et al. Prediction of triathlon race time from laboratory testing in national triathletes. Med Sci Sports Exer 2000; 32: 844-849
    CrossrefPubMedGoogle Scholar
  • 16 Caputo F, Denadai BS. Exercise mode affects the time to achieve VO2max without influencing maximal exercise time at the intensity associated with VO2max in triathletes. Int J Sports Med 2006; 27: 798-803
    Article in Thieme ConnectPubMedGoogle Scholar
  • 17 Basset FA, Boulay MR. Specificity of treadmill and cycle ergometer tests in triathletes, runners and cyclists. Eur J Appl Physiol 2000; 81: 214-221
    CrossrefPubMedGoogle Scholar
  • 18 Galy O, Manetta J, Coste O. et al. Maximal oxygen uptake and power of lower limbs during a competitive season in triathletes. Scand J Med Sci Sports 2003; 13: 185-193
    CrossrefPubMedGoogle Scholar
  • 19 Fontana P, Boutellier U, Knöpfli-Lenzin C. Time to exhaustion at maximal lactate steady state is similar for cycling and running in moderately trained subjects. Eur J Appl Physiol 2009; 107: 187-192
    CrossrefPubMedGoogle Scholar
  • 20 Hill DW, Vingren JL. Maximal accumulated oxygen deficit in running and cycling. Appl Physiol Nutr Metab 2011; 36: 831-838
    CrossrefPubMedGoogle Scholar
  • 21 Hill DW, Vingren JL. Effects of exercise mode and participant sex on measures of anaerobic capacity. J Sports Med Phys Fitness 2014; 54: 255-263
    PubMedGoogle Scholar
  • 22 Legaz-Arrese A, Munguía-Izquierdo D, Carranza-García LE. et al. Validity of the Wingate anaerobic test for the evaluation of elite runners. J Strength Cond Res 2011; 25: 819-824
    CrossrefPubMedGoogle Scholar
  • 23 Quittmann OJ, Abel T, Vafa R. et al. Maximal lactate accumulation rate and post-exercise lactate kinetics in handcycling and cycling. Eur J Sport Sci 2020; 53: 1-13
    CrossrefPubMedGoogle Scholar
  • 24 Wawer C, Heine O, Predel H-G. et al. Determination of anaerobic capacity – reliability and validity of sprint running tests. Exerc Sci 2020; 29: 129-137
    CrossrefPubMedGoogle Scholar
  • 25 Zwingmann L, Hoppstock M, Wahl P. Power profile, physiological characteristics and their correlation in elite canoe polo players. J Sports Med Phys Fitness. 2020
    Google Scholar
  • 26 Harriss DJ, MacSween A, Atkinson G. Ethical standards in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40: 813-817
    Article in Thieme ConnectPubMedGoogle Scholar
  • 27 Ozkaya O. Familiarization Effects of an elliptical all-out test and the wingate test based on mechanical power indices. J Sports Sci Med 2013; 12: 521-525
    PubMedGoogle Scholar
  • 28 Adam J, Öhmichen M, Öhmichen E. et al. Reliability of the calculated maximal lactate steady state in amateur cyclists. Biol Sport 2015; 32: 97-102
    CrossrefPubMedGoogle Scholar
  • 29 Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016; 15: 155-163
    Google Scholar
  • 30 Rylands LP, Roberts SJ, Hurst HT. et al. Effect of cadence selection on peak power and time of power production in elite BMX riders: A laboratory based study. J Sports Sci 2017; 35: 1372-1376
    CrossrefPubMedGoogle Scholar
  • 31 Katch FI, McArdle WD, Pechar GS. Relationship of maximal leg force and leg composition to treadmill and bicycle ergometer maximum oxygen uptake. Med Sci Sports Exerc 1974; 6: 38-43
    PubMedGoogle Scholar
  • 32 van Hall G. Lactate kinetics in human tissues at rest and during exercise. Acta Physiol (Oxf) 2010; 199: 499-508
    CrossrefPubMedGoogle Scholar
  • 33 Beneke R, Hutler M, Jung M. et al. Modeling the blood lactate kinetics at maximal short-term exercise conditions in children, adolescents, and adults. J Appl Physiol (1985) 2005; 99: 499-504
    CrossrefPubMedGoogle Scholar
  • 34 Jönhagen S, Ericson MO, Németh G. et al. Amplitude and timing of electromyographic activity during sprinting. Scand J Med Sci Sports 1996; 6: 15-21
    CrossrefPubMedGoogle Scholar
  • 35 Dorel S, Guilhem G, Couturier A. et al. Adjustment of muscle coordination during an all-out sprint cycling task. Med Sci Sports Exerc 2012; 44: 2154-2164
    CrossrefPubMedGoogle Scholar
  • 36 Medbø JI, Toska K. Lactate release, concentration in blood, and apparent distribution volume after intense bicycling. Jpn J Physiol 2001; 51: 303-312
    CrossrefPubMedGoogle Scholar
  • 37 Zemková E, Hamar D. ‘All-out’ tethered running as an alternative to Wingate anaerobic test. Kinesiology 2004; 36: 165-172
    PubMedGoogle Scholar
  • 38 Willems PA, Cavagna GA, Heglund NC. External, internal and total work in human locomotion. J Exp Biol 1995; 198: 379-393
    CrossrefPubMedGoogle Scholar
  • 39 Jaskólska A, Goossens P, Veenstra B. et al. Comparison of treadmill and cycle ergometer measurements of force-velocity relationships and power output. Int J Sports Med 1999; 20: 192-197
    Article in Thieme ConnectPubMedGoogle Scholar
  • 40 Capostagno B, Bosch A. Higher fat oxidation in running than cycling at the same exercise intensities. Int J Sport Nutr Exerc Metab 2010; 20: 44-55
    CrossrefPubMedGoogle Scholar
  • 41 Beneke R. Maximal lactate steady state concentration (MLSS): Experimental and modelling approaches. Eur J Appl Physiol 2003; 88: 361-369
    CrossrefPubMedGoogle Scholar
  • 42 Baker JS, McCormick MC, Robergs RA. Interaction among skeletal muscle metabolic energy systems during intense exercise. J Nutr Metab 2010; 905612
    PubMedGoogle Scholar