Authors:
Xabier Zarranz-Domench Studies, Research and Sports Medicine Center (CEIMD), Government of Navarre, Pamplona, Spain

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Ibai Garcia-Tabar Department of Physical Education and Sport, Faculty of Education and Sport, Society Sports and Physical Exercise Research Group (GIKAFIT), University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
Biobara, Vitoria-Gasteiz, Spain

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Juan C. Lizarazu Studies, Research and Sports Medicine Center (CEIMD), Government of Navarre, Pamplona, Spain

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Maite Ruesta Studies, Research and Sports Medicine Center (CEIMD), Government of Navarre, Pamplona, Spain

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Esteban M. Gorostiaga Studies, Research and Sports Medicine Center (CEIMD), Government of Navarre, Pamplona, Spain

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Abstract

Objectives

To examine 1) the contribution of physiological performance variables to Olympic-distance (OD) triathlon performance, and 2) the links between an 8-wk intensified training plus competition preceding the main OD triathlon race and the changes in the physiological status in triathletes.

Study Design

An observational longitudinal study.

Methods

Endurance performance variables during maximal incremental running and cycling tests, and average velocity during an all-out 400-m swimming performance test (V400) were assessed before (T1) and after (T2) the intensified training in 7 recreational-level triathletes.

Results

Overall main OD triathlon time was extremely largely (r = −0.94; P = 0.01) correlated with peak running velocity (PRV). Best correlation magnitude between exercise modes' partial race times and the corresponding specific physiological criterion tests was observed for swimming (r = −0.97; P < 0.001). Improvement in V400 (2.9%), PRV (1.5%) and submaximal running blood lactate concentration (17%) was observed along the training period, whereas no changes were observed in the cycling endurance performance variables. Higher volume of training plus competition at high intensity zones during cycling, running and swimming were associated with lower improvements or declines in their corresponding exercise mode-specific criterion performance variables (r = 0.81–0.90; P = 0.005–0.037).

Conclusion

Results indicate that: 1) PRV is highly associated with overall OD triathlon performance, and 2) spending much time at high relative intensities during swimming, cycling or running may lead, in a dose-response manner, to lower improvements or decreases on those exercise-specific physiological performance variables. This may favor the emergence of overreaching or diminished performance.

  • 1.

    Sleivert GG , Rowlands DS . Physical and physiological factors associated with success in the triathlon. Sports Med 1996; 22(1): 818. https://doi.org/10.2165/00007256-199622010-00002.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Schabort EJ , Killian SC , St Clair Gibson A , Hawley JA , Noakes TD . Prediction of triathlon race time from laboratory testing in national triathletes. Med Sci Sports Exerc 2000; 32(4): 8449. https://doi.org/10.1097/00005768-200004000-00018.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Hue O . Prediction of drafted-triathlon race time from submaximal laboratory testing in elite triathletes. Can J Appl Physiol 2003; 28(4): 54760. https://doi.org/10.1139/h03-042.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Kreider RB , Boone T , Thompson WR , Burkes S , Cortes CW . Cardiovascular and thermal responses of triathlon performance. Med Sci Sports Exerc 1988; 20(4): 38590. https://doi.org/10.1249/00005768-198808000-00010.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Guezennec CY , Vallier JM , Bigard AX , Durey A . Increase in energy cost of running at the end of a triathlon. Eur J Appl Physiol Occup Physiol 1996; 73(5): 4405. https://doi.org/10.1007/BF00334421.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Galy O , Manetta J , Coste O , Maimoun L , Chamari K , Hue O . Maximal oxygen uptake and power of lower limbs during a competitive season in triathletes. Scand J Med Sci Sports 2003; 13(3): 18593. https://doi.org/10.1034/j.1600-0838.2003.10170.x.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Miura H , Kitagawa K , Ishiko T . Economy during a simulated laboratory test triathlon is highly related to Olympic distance triathlon. Int J Sports Med 1997; 18(4): 27680. https://doi.org/10.1055/s-2007-972633.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Wonerow M , Rust CA , Nikolaidis PT , Rosemann T , Knechtle B . Performance Trends in age group triathletes in the Olympic distance triathlon at the world championships 2009–2014. Chin J Physiol 2017; 60(3): 13750. https://doi.org/10.4077/CJP.2017.BAF448.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Landers GJ , Blanksby BA , Ackland TR , Smith D . Morphology and performance of world championship triathletes. Ann Hum Biol 2000; 27(4): 387400. https://doi.org/10.1080/03014460050044865.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Neal CM , Hunter AM , Galloway SD . A 6-month analysis of training-intensity distribution and physiological adaptation in Ironman triathletes. J Sports Sci 2011; 29(14): 151523. https://doi.org/10.1080/02640414.2011.596217.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Seiler S , Haugen O , Kuffel E . Autonomic recovery after exercise in trained athletes: intensity and duration effects. Med Sci Sports Exerc 2007; 39(8): 136673. https://doi.org/10.1249/mss.0b013e318060f17d.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Frentsos JA , Baer JT . Increased energy and nutrient intake during training and competition improves elite triathletes' endurance performance. Int J Sport Nutr 1997; 7(1): 6171. https://doi.org/10.1123/ijsn.7.1.61.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Foster C . Monitoring training in athletes with reference to overtraining syndrome. Med Sci Sports Exerc 1998; 30(7): 11648. https://doi.org/10.1097/00005768-199807000-00023.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Helgerud J , Ingjer F , Stromme SB . Sex differences in performance-matched marathon runners. Eur J Appl Physiol Occup Physiol 1990; 61(5–6): 4339. https://doi.org/10.1007/BF00236064.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Harriss DJ , MacSween A , Atkinson G . Ethical standards in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40(13): 8137. https://doi.org/10.1055/a-1015-3123.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Garcia-Tabar I , Izquierdo M , Gorostiaga EM . On-field prediction vs monitoring of aerobic capacity markers using submaximal lactate and heart rate measures. Scand J Med Sci Sports 2017; 27(5): 46273. https://doi.org/10.1111/sms.12853.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Greco CC , de Oliveira MF , Caputo F , Denadai BS , Dekerle J . How narrow is the spectrum of submaximal speeds in swimming? J Strength Cond Res 2013; 27(5): 14504. https://doi.org/10.1519/JSC.0b013e318265a6ce.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Tonnessen E , Sylta O , Haugen TA , Hem E , Svendsen IS , Seiler S . The road to gold: training and peaking characteristics in the year prior to a gold medal endurance performance. PLoS One 2014; 9(7): e101796. https://doi.org/10.1371/journal.pone.0101796.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Hedges LV . Distribution theory for Glass's estimator of effect size and related estimators. J Educ Stat 1981; 6(2): 10728. https://doi.org/10.3102/10769986006002107.

    • Search Google Scholar
    • Export Citation
  • 20.

    Henderson AR . Information for authors: is the advice regarding the reporting of residuals in regression analysis incomplete? Should Cook's distance be included? Clin Chem 2006; 52(10): 184850. https://doi.org/10.1373/clinchem.2006.068296.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Hopkins WG , Marshall SW , Batterham AM , Hanin J . Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41(1): 313. https://doi.org/10.1249/MSS.0b013e31818cb278.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Anton MM , Izquierdo M , Ibanez J , Asiain X , Mendiguchia J , Gorostiaga EM . Flat and uphill climb time trial performance prediction in elite amateur cyclists. Int J Sports Med 2007; 28(4): 30613. https://doi.org/10.1055/s-2006-924356.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Puccinelli PJ , Lima GHO , Pesquero JB , de Lira CAB , Vancini RL , Nikolaids PT , 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. https://doi.org/10.1016/j.physbeh.2020.113110.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Millet GP , Bentley DJ . The physiological responses to running after cycling in elite junior and senior triathletes. Int J Sports Med 2004; 25(3): 1917. https://doi.org/10.1055/s-2003-45259.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Gadelha AB , Sousa CV , Sales MM , Dos Santos Rosa T , Flothmann M , Barbosa LP , et al. Cut-off values in the prediction of success in olympic distance triathlon. Int J Environ Res Public Health 2020; 17(24): 9491. https://doi.org/10.3390/ijerph17249491.

    • Search Google Scholar
    • Export Citation
  • 26.

    Vleck VE , Burgi A , Bentley DJ . The consequences of swim, cycle, and run performance on overall result in elite olympic distance triathlon. Int J Sports Med 2006; 27(1): 438. https://doi.org/10.1055/s-2005-837502.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Laurenson NM , Fulcher KY , Korkia P . Physiological characteristics of elite and club level female triathletes during running. Int J Sports Med 1993; 14(8): 4559. https://doi.org/10.1055/s-2007-1021210.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28.

    Etxebarria N , Anson JM , Pyne DB , Ferguson RA . Cycling attributes that enhance running performance after the cycle section in triathlon. Int J Sports Physiol Perform 2013; 8(5): 5029. https://doi.org/10.1123/ijspp.8.5.502.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29.

    De Vito G , Bernardi M , Sproviero E , Figura F . Decrease of endurance performance during olympic triathlon. Int J Sports Med 1995; 16(1): 248. https://doi.org/10.1055/s-2007-972958.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30.

    Vercruyssen F , Brisswalter J , Hausswirth C , Bernard T , Bernard O , Vallier JM . Influence of cycling cadence on subsequent running performance in triathletes. Med Sci Sports Exerc 2002; 34(3): 5306. https://doi.org/10.1097/00005768-200203000-00022.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Tanaka K , Matsuura Y , Matsuzaka A , Hirakoba K , Kumagai S , Sun SO , et al. A longitudinal assessment of anaerobic threshold and distance-running performance. Med Sci Sports Exerc 1984; 16(3): 27882. https://doi.org/10.1249/00005768-198406000-00014.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32.

    Chwalbinska-Moneta J , Kaciuba-Uscilko H , Krysztofiak H , Ziemba A , Krzeminski K , Kruk B , et al. Relationship between EMG blood lactate, and plasma catecholamine thresholds during graded exercise in men. J Physiol Pharmacol 1998; 49(3): 43341.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    Ingham SA , Carter H , Whyte GP , Doust JH . Physiological and performance effects of low- versus mixed-intensity rowing training. Med Sci Sports Exerc 2008; 40(3): 57984. https://doi.org/10.1249/MSS.0b013e31815ecc6a.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34.

    Treff G , Winkert K , Sareban M , Steinacker JM , Becker M , Sperlich B . Eleven-week preparation involving polarized intensity distribution is not superior to pyramidal distribution in national elite rowers. Front Physiol 2017; 8: 515. https://doi.org/10.3389/fphys.2017.00515.

    • Search Google Scholar
    • Export Citation
  • 35.

    Esteve-Lanao J , Foster C , Seiler S , Lucia A . Impact of training intensity distribution on performance in endurance athletes. J Strength Cond Res 2007; 21(3): 9439. https://doi.org/10.1519/R-19725.1.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36.

    Munoz I , Cejuela R , Seiler S , Larumbe E , Esteve-Lanao J . Training-intensity distribution during an ironman season: relationship with competition performance. Int J Sports Physiol Perform 2014; 9(2): 3329. https://doi.org/10.1123/ijspp.2012-0352.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Stoggl T , Sperlich B . Polarized training has greater impact on key endurance variables than threshold, high intensity, or high volume training. Front Physiol 2014; 5: 33. https://doi.org/10.3389/fphys.2014.00033.

    • Search Google Scholar
    • Export Citation
  • 38.

    Anglemyer A , Horvath HT , Bero L . Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials. Cochrane Database Syst Rev 2014; 2014(4): MR000034. https://doi.org/10.1002/14651858.MR000034.pub2.

    • Search Google Scholar
    • Export Citation
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László ROSIVALL (Semmelweis University, Budapest, Hungary)

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Anna BERHIDI (Semmelweis University, Budapest, Hungary)

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Physiology International
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