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Prediction of time to exhaustion from blood lactate response during submaximal exercise in competitive cyclists

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Abstract

The aim of this investigation was to develop and validate a new method to predict time to exhaustion (pTE) from blood lactate variables measured during a submaximal non-exhaustive constant workload cycling test in professional cyclists. A multiple regression equation to estimate pTE from blood lactate variables measured within the first 10 min of a submaximal test and TE was determined in 40 competitive cyclists. Predicted TE reliability [individual coefficient of variation (CV)] was calculated in eight amateur cyclists who repeated the proposed test three times. Seasonal variations of pTE were monitored in 12 professional cyclists. Validity of pTE was determined by the known-group difference method in 49 professional cyclists. The prediction equation was: lognTE = 4.2067 − 0.8221(logn B) − 0.2519(logn C), where B is the lactate concentration at the 10th minute of the constant workload test and C is the lactate slope calculated between the 5th and 10th minute (adjusted r 2 =0.83, root mean square error in cross validation=23.1%). Predicted TE CV was 11.7%. The pTE obtained at the beginning of the season and the best and worst tests performed during the competitive season, resulted 162, 224 and 103% higher than the basic period test, respectively (P<0.05). Predicted TE was the only parameter discriminating elite from subelite professional cyclists. In conclusion, this study demonstrates that pTE is a valid and practical alternative to incremental tests and direct measures of endurance capacity requiring exhaustive efforts for the evaluation of competitive cyclists.

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References

  • Amann M, Subudhi AW, Walker J, Eisenman P, Shultz B, Foster C (2004) An evaluation of the predictive validity and reliability of ventilatory threshold. Med Sci Sports Exerc 36(10):1716–1722

    Article  PubMed  Google Scholar 

  • Atkinson G, Nevill AM (1998) Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 26(4):217–238

    Article  PubMed  CAS  Google Scholar 

  • Aunola S, Alanen E, Marniemi J, Rusko H (1990) The relation between cycling time to exhaustion and anaerobic threshold. Ergonomics 33(8):1027–1042

    Article  PubMed  CAS  Google Scholar 

  • Billat VL, Sirvent P, Py G, Koralsztein JP, Mercier J (2003) The concept of maximal lactate steady state: a bridge between biochemistry, physiology and sport science. Sports Med 33(6):407–426

    Article  PubMed  Google Scholar 

  • Bosquet L, Leger L, Legros P (2002) Methods to determine aerobic endurance. Sports Med 32(11):675–700

    Article  PubMed  Google Scholar 

  • Coyle EF, Feltner ME, Kautz SA, Hamilton MT, Montain SJ, Baylor AM, Abraham LD, Petrek GW (1991) Physiological and biomechanical factors associated with elite endurance cycling performance. Med Sci Sports Exerc 23(1):93–107

    PubMed  CAS  Google Scholar 

  • Faria EW, Parker DL, Faria IE (2005) The science of cycling: factors affecting performance—Part 2. Sports Med 35(4):313–337

    Article  PubMed  Google Scholar 

  • Garcin M, Mille-Hamard L, Billat V (2004) Influence of aerobic fitness level on measured and estimated perceived exertion during exhausting runs. Int J Sports Med 25(4):270–277

    Article  PubMed  CAS  Google Scholar 

  • Hickey MS, Costill DL, McConell GK, Widrick JJ, Tanaka H (1992) Day to day variation in time trial cycling performance. Int J Sports Med 13(6):467–470

    PubMed  CAS  Google Scholar 

  • Hinckson EA, Hopkins WG (2005) Reliability of time to exhaustion analyzed with critical-power and log-log modeling. Med Sci Sports Exerc 37(4):696–701

    Article  PubMed  Google Scholar 

  • Hopkins WG, Hawley JA, Burke LM (1999) Design and analysis of research on sport performance enhancement. Med Sci Sports Exerc 31(3):472–485

    Article  PubMed  CAS  Google Scholar 

  • Hopkins WG, Schabort EJ, Hawley JA (2001) Reliability of power in physical performance tests. Sports Med 31(3):211–234

    Article  PubMed  CAS  Google Scholar 

  • Jeukendrup AE (2004) Carbohydrate intake during exercise and performance. Nutrition 20(7–8):669–677

    Article  PubMed  CAS  Google Scholar 

  • Jeukendrup A, Saris WH, Brouns F, Kester AD (1996) A new validated endurance performance test. Med Sci Sports Exerc 28(2):266–270

    PubMed  CAS  Google Scholar 

  • Jeukendrup AE, Craig NP, Hawley JA (2000) The bioenergetics of World class cycling. J Sci Med Sport 3(4):414–433

    Article  PubMed  CAS  Google Scholar 

  • Koutedakis Y (1995) Seasonal variation in fitness parameters in competitive athletes. Sports Med 19(6):373–392

    Article  PubMed  CAS  Google Scholar 

  • Lucia A, Hoyos J, Perez M, Chicharro JL (2000) Heart rate and performance parameters in elite cyclists: a longitudinal study. Med Sci Sports Exerc 32(10):1777–1782

    Article  PubMed  CAS  Google Scholar 

  • Lucia A, Hoyos J, Chicharro JL (2001) Preferred pedalling cadence in professional cycling. Med Sci Sports Exerc 33(8):1361–1366

    Article  PubMed  CAS  Google Scholar 

  • Massart DL, Vandeginste BGM, Buydens LMC, De Jong S, Lewi PJ, Smeyers-Verbeke J (1997) Handbook of chemometrics and qualimetrics: Part A. Elsevier, Amsterdam, p. 282

    Google Scholar 

  • McConnell AK, Romer LM (2004) Respiratory muscle training in healthy humans: resolving the controversy. Int J Sports Med 25(4):284–293

    Article  PubMed  CAS  Google Scholar 

  • McLellan TM, Cheung SS, Jacobs I (1995) Variability of time to exhaustion during submaximal exercise. Can J Appl Physiol 20(1):39–51

    PubMed  CAS  Google Scholar 

  • Olds T (1998) The mathematics of breaking away and chasing in cycling. Eur J Appl Physiol Occup Physiol 77(6):492–497

    Article  PubMed  CAS  Google Scholar 

  • Oyono-Enguelle S, Heitz A, Marbach J, Ott C, Gartner M, Pape A, Vollmer JC, Freund H (1990) Blood lactate during constant-load exercise at aerobic and anaerobic thresholds. Eur J Appl Physiol Occup Physiol 60(5):321–330

    Article  PubMed  CAS  Google Scholar 

  • Paton CD, Hopkins WG (2001) Tests of cycling performance. Sports Med 31(7):489–496

    Article  PubMed  CAS  Google Scholar 

  • Peronnet F, Thibault G (1987) Physiological analysis of running performance: revision of the hyperbolic model. J Physiol (Paris) 82(1):52–60

    CAS  Google Scholar 

  • Pfitzinger P, Freedson PS (1998) The reliability of lactate measurements during exercise. Int J Sports Med 19(5):349–357

    Article  PubMed  CAS  Google Scholar 

  • Sassi A, Morelli A, Impellizzeri F, Ruffini G, Mognoni P (1999) A simple prediction of the exhaustion time during submaximal cycling. In: Parisi P, Pigozzi F, Prinzi G (eds) 4th annual congress of the European College of sport science. Rome, Italy, p. 126

    Google Scholar 

  • Schabort EJ, Hawley JA, Hopkins WG, Mujika I, Noakes TD (1998) A new reliable laboratory test of endurance performance for road cyclists. Med Sci Sports Exerc 30(12):1744–1750

    Article  PubMed  CAS  Google Scholar 

  • Takaishi T, Yasuda Y, Ono T, Moritani T (1996) Optimal pedaling rate estimated from neuromuscular fatigue for cyclists. Med Sci Sports Exerc 28(12):1492–1497

    PubMed  CAS  Google Scholar 

  • Vautier JF, Vandewalle H, Monod H (1994) Prediction of exhaustion time from heart rate drift. Arch Int Physiol Biochim Biophys 102(1):61–65

    Article  PubMed  CAS  Google Scholar 

  • Weltman A, Seip RL, Snead D, Weltman JY, Haskvitz EM, Evans WS, Veldhuis JD, Rogol AD (1992) Exercise training at and above the lactate threshold in previously untrained women. Int J Sports Med 13(3):257–263

    Article  PubMed  CAS  Google Scholar 

  • Yoshida T, Suda Y, Takeuchi N (1982) Endurance training regimen based upon arterial blood lactate: effects on anaerobic threshold. Eur J Appl Physiol Occup Physiol 49(2):223–230

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

The authors would like to thank A. Morelli for his valuable support, plus all the cyclists involved in this study.

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Correspondence to A. Sassi.

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Sassi, A., Marcora, S.M., Rampinini, E. et al. Prediction of time to exhaustion from blood lactate response during submaximal exercise in competitive cyclists. Eur J Appl Physiol 97, 174–180 (2006). https://doi.org/10.1007/s00421-006-0157-1

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