Int J Sports Med 2024; 45(14): 1074-1083
DOI: 10.1055/a-2404-8537
Training & Testing

Cycling Intensity Effect on Running Plus Cycling Performance among Triathletes

Lavínia Vivan
1   Postgraduate Program in Translation Medicine, Federal University of Sao Paulo, Sao Paulo, Brazil
,
Vinicius Ribeiro dos Anjos
1   Postgraduate Program in Translation Medicine, Federal University of Sao Paulo, Sao Paulo, Brazil
,
Paulo Engelke
1   Postgraduate Program in Translation Medicine, Federal University of Sao Paulo, Sao Paulo, Brazil
,
Claudio Andre Barbosa de Lira
2   Faculty of Physical Education and Dance, Federal University of Goias, Goiania, Brazil
,
Rodrigo Luiz Vancini
3   Centro de Educação Física e Desportos, Universidade Federal do Espírito Santo, Vitória, Brazil
,
Katja Weiss
4   Medbase St. Gallen Am Vadianplatz, Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland
,
5   St. Gallen, Gesundheitszentrum, St. Gallen, Switzerland
,
Marília Santos Andrade
6   Physiology, Federal University of São Paulo, São Paulo, Brazil
› Institutsangaben

Abstract

Running performance is crucial for triathlon performance. However, the prior bout of cycling may affect the running split time. This study compared the triathletes’ cycling plus running (C+R) time, when cycling was performed at three different intensities and running was maximal. A total of 38 athletes (21 males and 17 females) were included. Body composition, maximal oxygen uptake, and functional threshold power (FTP) was evaluated. The participants visited the laboratory three times to cycle 20 km at 80%, 85%, or 90% FTP (in randomized order) and run 5 km as fast as possible. Males ran faster after cycling at 80% FTP than after cycling at 90% FTP (mean difference=35.1 s; CI% 2.2, 68.1 s; p=0.035). The C+R time was faster when cycling at 90% FTP than at 80% FTP (mean difference=57.7 s; CI% 26.1, 89.3 s; p<0.001). For females, no significant difference was observed in the running time after cycling at 80%, 85%, or 90% FTP. The C+R time was faster when cycling at 90% FTP than at 80% FTP (mean difference=80.9 s; CI% 29.7, 132.1 s; p=0.002). In conclusion, to optimize triathlon performance, male and female athletes should cycle at a minimum of 90% FTP.

Supplementary Material



Publikationsverlauf

Eingereicht: 18. April 2024

Angenommen: 12. August 2024

Artikel online veröffentlicht:
23. September 2024

© 2024. Thieme. All rights reserved.

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  • References

  • 1 Etxebarria N, Mujika I, Pyne DB. Training and competition readiness in triathlon. Sports 2019; 7: 1-15
  • 2 Sousa CV, Aguiar S, Olher RR. et al. What Is the Best Discipline to Predict Overall Triathlon Performance? An Analysis of Sprint, Olympic, Ironman 70.3, and Ironman 140.6. Front Physiol 2021; 12
  • 3 Walsh JA. The rise of elite short-course triathlon re-emphasises the necessity to transition efficiently from cycling to running. Sports 2019; 7
  • 4 Figueiredo P, Marques EA, Lepers R. Changes in Contributions of Swim, Cycle, and Run Performances on Overall Triathlon Performance over a 26-year period. J Strength Cond Res 2016;
  • 5 Puccinelli PJ, Lima GHO, Pesquero JB. et al. Previous experience, aerobic capacity and body composition are the best predictors for Olympic distance triathlon performance. Predictors in amateur triathlon. Physiol Behav 2020; 225: 113110
  • 6 Barbosa G, Andre C. Lira B De, et al. Physiological Features of Olympic-Distance Amateur Triathletes, as Well as Their Associations with Performance in Women and Men: A Cross-Sectional Study. Healthcare (Basel) 2023; 11: 622
  • 7 Smith D, Lee H, Pickard R. et al. Power demands of the cycle leg during elite triathlon competition. Les Cah l’INSEP 1999; 24: 224-230
  • 8 Bonacci J, Green D, Saunders PU. et al. Change in running kinematics after cycling are related to alterations in running economy in triathletes. J Sci Med Sport 2010; 13: 460-464
  • 9 Chapman AR, Vicenzino B, Blanch P. et al. Is running less skilled in triathletes than runners matched for running training history. Med Sci Sports Exerc 2008; 40: 557-565
  • 10 Bonacci J, Blanch P, Chapman AR. et al. Altered movement patterns but not muscle recruitment in moderately trained triathletes during running after cycling. J Sports Sci 2010; 28: 1477-1487
  • 11 Rendos NK, Harrison BC, Dicharry JM. et al. Sagittal plane kinematics during the transition run in triathletes. J Sci Med Sport 2013; 16: 259-265
  • 12 Connick MJ, Li F-X. Prolonged cycling alters stride time variability and kinematics of a post-cycle transition run in triathletes. J Electromyogr Kinesiol 2015; 25: 34-39
  • 13 Rico Bini R, Canal Jacques T, Hunter J. et al. Biomechanical and physiological implications to running after cycling and strategies to improve cycling to running transition: A systematic review. J Sci Med Sport 2022; 25: 861-866
  • 14 du Plessis C, Blazevich AJ, Abbiss C. et al. Running economy and effort after cycling: Effect of methodological choices. J Sports Sci 2020; 38: 1105-1114
  • 15 Olcina G, Perez-Sousa MÁ, Escobar-Alvarez JA. et al. Effects of cycling on subsequent running performance, stride length, and muscle oxygen saturation in triathletes. Sports 2019; 7: 115
  • 16 Etxebarria N, Hunt J, Ingham S. et al. Physiological assessment of isolated running does not directly replicate running capacity after triathlon-specific cycling. J Sports Sci 2014; 32: 229-238
  • 17 Le Meur Y, Dorel S, Rabita G. et al. Spring-mass behaviour during the run of an international triathlon competition. Int J Sports Med 2013; 34: 748-755
  • 18 Millet GP, Millet GY, Candau RB. Duration and seriousness of running mechanics alterations after maximal cycling in triathletes. Influence of the performance level. J Sports Med Phys Fitness 2001; 41: 147-153
  • 19 Piacentini MF, Bianchini LA, Minganti C. et al. Is the bike segment of modern Olympic triathlon more a transition towards running in males than it is in females?. Sports 2019; 7: 1-9
  • 20 Allen H, Coggan A, McGregor S. Training and Racing with a Power Meter. 3rd ed. Berkely, CA: VeloPress; 2019
  • 21 Wong S, Burnley M, Mauger A. et al. Functional threshold power is not a valid marker of the maximal metabolic steady state. J Sports Sci 2022; 40: 2578-2584
  • 22 Vleck VE, Bentley DJ, Millet GP. et al. Pacing during an elite Olympic distance triathlon: Comparison between male and female competitors. 2008; 424-432
  • 23 Tarnopolsky MA. Sex differences in exercise metabolism and the role of 17-beta estradiol. Med Sci Sports Exerc 2008; 40: 648-654
  • 24 Andreoli A, Scalzo G, Masala S. et al. Valutazione della composizione corporea mediante la densitometria a raggi X (DXA). Radiol Medica 2009; 114: 286-300
  • 25 Van Hooren B, Souren T, Bongers BC. Accuracy of respiratory gas variables, substrate, and energy use from 15 CPET systems during simulated and human exercise. Scand J Med Sci Sport 2024; 34: 1-21
  • 26 Buchfuhrer MJ, Hansen JE, Robinson TE. et al. Optimizing the exercise protocol for cardiopulmonary assessment. J Appl Physiol 1983; 55: 1558-1564
  • 27 Noble BJ, Borg GA, Jacobs I. et al. A category-ratio perceived exertion scale: Relationship to blood and muscle lactates and heart rate. Med Sci Sports Exerc 1983; 15: 523-528
  • 28 Gellish RL, Goslin BR, Olson RE. et al. Longitudinal modeling of the relationship between age and maximal heart rate. Med Sci Sports Exerc 2007; 39: 822-829
  • 29 Wasserman K. The Anaerobic Threshold: Definition , Physiological Significance and Identification. 1986 23. 1-23
  • 30 McGrath E, Mahony N, Fleming N. et al. Is the FTP Test a Reliable, Reproducible and Functional Assessment Tool in Highly-Trained Athletes?. Int J Exerc Sci 2019; 12: 1334-1345
  • 31 Borszcz FK, Tramontin AF, Bossi AH. et al. Correction: Functional Threshold Power in Cyclists: Validity of the Concept and Physiological Responses. Int J Sports Med 2018; 39: e1
  • 32 Gavin TP, Van Meter JB, Brophy PM. et al. Comparison of a field-based test to estimate functional threshold power and power output at lactate threshold. J Strength Cond Res 2012; 26: 416-421
  • 33 Pageaux B. Perception of effort in Exercise Science: Definition, measurement and perspectives. Eur J Sport Sci 2016; 16: 885-894
  • 34 Sullivan GM, Feinn R. Using Effect Size-or Why the P Value Is Not Enough. J Grad Med Educ 2012; 4: 279-282
  • 35 Nicol C, Komi PV, Marconnet P. Fatigue effects of marathon running on neuromuscular performance. Scand J Med Sci Sports 1991; 1: 10-17
  • 36 Chapman AR, Vicenzino B, Blanch P. et al. Does cycling effect motor coordination of the leg during running in elite triathletes?. J Sci Med Sport 2008; 11: 371-380
  • 37 Theurel J, Lepers R. Neuromuscular fatigue is greater following highly variable versus constant intensity endurance cycling. Eur J Appl Physiol 2008; 103: 461-468
  • 38 Hue O, Le Gallais D, Boussana A. et al. Performance level and cardiopulmonary responses during a cycle-run trial. Int J Sports Med 2000; 21: 250-255
  • 39 Bernard T, Vercruyssen F, Grego F. et al. Effect of cycling cadence on subsequent 3 km running performance in well trained triathletes. Br J Sports Med 2003; 37: 154-158
  • 40 Millet GP, Millet GY, Hofmann MD. et al. Alterations in running economy and mechanics after maximal cycling in triathletes: Influence of performance level. Int J Sports Med 2000; 21: 127-132
  • 41 Hue O, Le Gallais D, Chollet D. et al. The influence of prior cycling on biomechanical and cardiorespiratory response profiles during running in triathletes. Eur J Appl Physiol Occup Physiol 1998; 77: 98-105
  • 42 Vercruyssen F, Brisswalter J, Hausswirth C. et al. Influence of cycling cadence on subsequent running performance in triathletes. Med Sci Sports Exerc 2002; 34: 530-536
  • 43 Hue O, Le Gallais D, Boussana A. et al. DLCO response to experimental cycle-run succession in triathletes. J Sports Med Phys Fitness 2001; 41: 441-447
  • 44 Hue O, Le Gallais D, Boussana A. et al. Ventilatory responses during experimental cycle-run transition in triathletes. Med Sci Sports Exerc 1999; 31: 1422-1428
  • 45 Gandevia SC. Spinal and supraspinal factors in human muscle fatigue. Physiol Rev 2001; 81: 1725-1789
  • 46 Black MI, Jones AM, Blackwell JR. et al. Muscle metabolic and neuromuscular determinants of fatigue during cycling in different exercise intensity domains. J Appl Physiol 2017; 122: 446-459
  • 47 Bigland-Ritchie B, Jones DA, Hosking GP. et al. Central and peripheral fatigue in sustained maximum voluntary contractions of human quadriceps muscle. Clin Sci Mol Med 1978; 54: 609-614
  • 48 Page P. Beyond statistical significance: Clinical interpretation of rehabilitation research literature. Int J Sports Phys Ther 2014; 9: 726-736
  • 49 Cohen J. Statistical Power Analysis for the Behavioral Sciences. 1988
  • 50 Lundsgaard AM, Kiens B. Gender differences in skeletal muscle substrate metabolism - molecular mechanisms and insulin sensitivity. Front Endocrinol (Lausanne) 2014; 5
  • 51 Venables MC, Achten J, Jeukendrup AE. Determinants of fat oxidation during exercise in healthy men and women: A cross-sectional study. J Appl Physiol 2005; 98: 160-167
  • 52 Bassett AJ, Ahlmen A, Rosendorf JM. et al. The biology of sex and sport. JBJS Rev 2020; 8: 1-8
  • 53 Besson T, Macchi R, Rossi J. et al. Sex Differences in Endurance Running. Sports Med 2022; 52: 1235-1257
  • 54 Dennis SC, Noakes TD. Advantages of a smaller bodymass in humans when distance-running in warm, humid conditions. Eur J Appl Physiol Occup Physiol 1999; 79: 280-284
  • 55 Marino FE, Mbambo Z, Kortekaas E. et al. Advantages of smaller body mass during distance running in warm, humid environments. Pflugers Arch 2000; 441: 359-367
  • 56 Marcora S. Psychobiology of Fatigue During Endurance Exercise. Endur Perform Sport Psychol Theory Interv 2019; 1: 15-34
  • 57 Bernard T, Hausswirth C, Le Meur Y. et al. Distribution of power output during the cycling stage of a Triathlon World Cup. Med Sci Sports Exerc 2009; 41: 1296-1302