OLYMPIKA ADS
Effect of Two Different Training Interventions on Cycling Performance in Mountain Bike Cross-Country Olympic Athletes
Keywords:
polarized training, off-road cycling, XCO, competitionAbstract
To improve performance in endurance sports, it is important to include both high-intensity and low-intensity training, but there is neither a universally accepted practice nor clear scientific evidence that allows reliable statements about the predominance of a specific training method. This randomized controlled trial compared the effects of a polarized training model (POL) to a low-intensity training model (LIT) on physiological parameters and mountain bike cross-country Olympic (XCO) race performance in eighteen competitive XCO athletes (17.9 ± 3.6 years). The superiority of one of the two methods could not be shown in this study. The results did not show statistically significant differences between POL and LIT, as both interventions led to slight improvements. However, a small tendency toward better effects for POL was seen for cycling power output during the race (4.4% vs. –2.2%), at the 4 mmol/L (6.1% vs. 2.8%) and individual anaerobic lactate threshold (5.1% vs. 2.3%), and for maximal aerobic performance (4.4% vs. 2.6%), but not for maximal efforts lasting 10 to 300 s. Despite the lack of significant superiority in this and some other studies, many athletes and coaches prefer POL because it produces at least equivalent effects and requires less training time.
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References
(1) Baron R. Aerobic and anaerobic power characteristics of off-road cyclists. Medicine and Science in Sports and Exercise. 2001 Aug;33(8):1387–93.
(2) Impellizzeri FM, Marcora SM. The Physiology of Mountain Biking. Sports Medicine. 2007;37(1):59–71.
(3) Inoue A, Sá Filho AS, Mello FCM, Santos TM. Relationship Between Anaerobic Cycling Tests and Mountain Bike Cross-Country Performance. Journal of Strength and Conditioning Research [Internet]. 2012 Jun 1;26(6):1589–93. Available from: https://journals.lww.com/nsca-jscr/Fulltext/2012/06000/Relationship_Between_Anaerobic_Cycling_Tests
(4) Workload Demands in Mountain Bike Racing. International Journal of Sports Medicine. 2004 May;25(4):294–300.
(5) Union Cycliste Internationale. UCI Cycling Regulations; Part 4; Mountain Bike; Version on 10.06.2021; Union Cycliste Internationale: Aigle, Switzerland, 2021; pp. 1–91.
(6) van Loon LJC, Greenhaff PL, Constantin-Teodosiu D, Saris WHM, Wagenmakers AJM. The effects of increasing exercise intensity on muscle fuel utilisation in humans. The Journal of Physiology. 2001 Oct;536(1):295–304.
(7) Coffey VG, Hawley JA. The Molecular Bases of Training Adaptation. Sports Medicine. 2007;37(9):737–63.
(8) Laursen PB. Training for intense exercise performance: high-intensity or high-volume training? Scandinavian Journal of Medicine & Science in Sports. 2010 Sep 14;20(2):1–10.
(9) Stöggl TL, Sperlich B. The training intensity distribution among well-trained and elite endurance athletes. Frontiers in Physiology. 2015 Oct 27;6(1).
(10) Stöggl TL, Björklund G. High Intensity Interval Training Leads to Greater Improvements in Acute Heart Rate Recovery and Anaerobic Power as High Volume Low
(11) Selles-Perez S, Fernández-Sáez J, Cejuela R. Polarized and Pyramidal Training Intensity Distribution: Relationship with a Half-Ironman Distance Triathlon Competition. J. Sports Sci. Med. 2019; 18, 708–715.
(12) Seiler KS, Kjerland GO. Quantifying training intensity distribution in elite endurance athletes: is there evidence for an “optimal” distribution?. Scandinavian Journal of Medicine and Science in Sports. 2006 Feb;16(1):49–56.
(13) Esteve-Lanao J, San Juan AF, Earnest CP, Foster C, Lucia A. How Do Endurance Runners Actually Train? Relationship with Competition Performance. Medicine & Science in Sports & Exercise [Internet]. 2005;37(3):496–504. Available from: http://www.tradewindsports.net/wp-content/uploads/2014/02/Esteve-Lanao-05-ET-in-Runners-good.pdf
(14) Fiskerstrand A, Seiler KS. Training and performance characteristics among Norwegian International Rowers 1970-2001. Scandinavian Journal of Medicine and Science in Sports. 2004 Oct;14(5):303–10.
(15) Ingham SA, Carter H, Whyte GP, Doust JH. Physiological and Performance Effects of Low- versus Mixed-Intensity Rowing Training. Medicine & Science in Sports & Exercise. 2008 Mar;40(3):579–84.
(16)Laursen PB, Jenkins DG. The Scientific Basis for High-Intensity Interval Training. Sports Medicine. 2002;32(1):53–73.
(17) Billat VL, Flechet B, Petit B, Muriaux G, Koralsztein JP. Interval training at VO2max: effects on aerobic performance and overtraining markers. Medicine & Science in Sports & Exercise. 1999 Jan;31(1):156–63.
(18) Hawley JA, Stepto NK. Adaptations to Training in Endurance Cyclists. Sports Medicine. 2001;31(7):511–20.
(19) Seiler S, Haugen O, Kuffel E. Autonomic Recovery after Exercise in Trained Athletes. Medicine & Science in Sports & Exercise. 2007 Aug;39(8):1366–73.
(20) Muñoz I, Cejuela R, Seiler S, Larumbe E, Esteve-Lanao J. Training-Intensity Distribution During an Ironman Season: Relationship With Competition Performance. International Journal of Sports Physiology and Performance. 2014 Mar;9(2):332–9.
(21) Stöggl T, Sperlich B. Polarized training has greater impact on key endurance variables than threshold, high intensity, or high volume training. Frontiers in Physiology. 2014;5(33).
(22) Miller MC, Validity of using functional threshold power and intermittent power to predict cross-country mountain bike race outcome. J. Sci. Cycl. 2014; 3, 16–20.
(23) Prins L, Terblanche E, Myburgh KH. Field and laboratory correlates of performance in competitive cross-country mountain bikers. Journal of Sports Sciences. 2007 Jun;25(8):927–35.
(24) Novak AR, Bennett KJM, Fransen J, Dascombe BJ. A multidimensional approach to performance prediction in Olympic distance cross-country mountain bikers. Journal of Sports Sciences. 2017 Jan 20;36(1):71–8.
(25) Schneeweiss P, Schellhorn P, Haigis D, Niess A, Martus P, Krauss I. Predictive Ability of a Laboratory Performance Test in Mountain Bike Cross-country Olympic Athletes. International Journal of Sports Medicine. 2019 Apr 1;40(06):397–403.
(26) Ahrend MD, Schneeweiss P, Martus P, Niess AM, Krauss I. Predictive ability of a comprehensive incremental test in mountain bike marathon. BMJ Open Sport & Exercise Medicine. 2018 Jan;4(1):e000293.
(27) Ahrend MD, Schneeweiß P, Theobald U, Nieß AM, Krauß I. Comparison of laboratory parameters of a mountain bike specific performance test and a simulated race performance in the field. Journal of Science and Cycling. 2016 Mar 17;5(1):3–9.
(28) Schneeweiss P, Schellhorn P, Haigis D, Niess A, Martus P, Krauss I. Cycling Performance in Short-term Efforts: Laboratory and Field-Based Data in XCO Athletes. Sports Medicine International Open [Internet]. 2020 Jan 1 [cited 2022 Apr 21];4(1):E19–26. Available from: https://pubmed.ncbi.nlm.nih.gov/32232124/
(29) Crivoi do Carmo E, Barroso R, Leite Prado D, Inoue A, Machado T, Cavinato Cal Abad C, et al. The laboratory-assessed performance predictors of elite cross-country marathon mountain bikers. Kinesiology. 2021;53(2):262–70.
(30) Allen H, Coggan A. Training and Racing with a Power Meter; VeloPress: Boulder, CO, USA, 2010.
(31) Harriss DJ, MacSween A, Atkinson G. Ethical Standards in Sport and Exercise Science Research: 2020 Update. International Journal of Sports Medicine. 2019 Oct 15;40(13).
(32) Gardner A.S, Stephens S, Martin DT, Lawton E, Lee H, Jenkins D. Accuracy of SRM and Power Tap Power Monitoring Systems for Bicycling. Medicine & Science in Sports & Exercise. 2004 Jul;36(7):1252–8.
(33) Paton CD, Hopkins WG. Tests of Cycling Performance. Sports Medicine. 2001;31(7):489–96.
(34) Bachl N, Graham TE, H. Löllgen. Advances in Ergometry. Springer Science & Business Media; 2012.
(35) Roecker K, Striegel H, Dickhuth HH . Heart-Rate Recommendations: Transfer Between Running and Cycling Exercise? International Journal of Sports Medicine. 2003 Apr;24(3):173–8.
(36) Kuipers H, Verstappen F, Keizer H, Geurten P, van Kranenburg G. Variability of Aerobic Performance in the Laboratory and Its Physiologic Correlates. International Journal of Sports Medicine. 1985 Aug;06(04):197–201.
(37) Skinner JS, Mclellan TH. The Transition from Aerobic to Anaerobic Metabolism. Research Quarterly for Exercise and Sport. 1980 Mar;51(1):234–48.
(38) Mader A, Heck H. A Theory of the Metabolic Origin of “Anaerobic Threshold.” International Journal of Sports Medicine. 1986 Jun;07(S 1):S45–65.
(39) Jeffries O, Simmons R, Patterson SD, Waldron M. Functional Threshold Power Is Not Equivalent to Lactate Parameters in Trained Cyclists. Journal of Strength and Conditioning Research. 2019 Jul;1.
(40) Valenzuela PL, Morales JS, Foster C, Lucia A, de la Villa P. Is the Functional Threshold Power a Valid Surrogate of the Lactate Threshold? International Journal of Sports Physiology and Performance. 2018 Nov 1;13(10):1293–8.
(41) Röhrken G, Held S, Donath L. Six Weeks of Polarized Versus Moderate Intensity Distribution: A Pilot Intervention Study. Frontiers in Physiology. 2020 Nov 12;11.
(42)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. Frontiers in Physiology. 2017 Aug 2;8.
(43) Neal CM, Hunter AM, Brennan L, O’Sullivan A, Hamilton DL, DeVito G, et al. Six weeks of a polarized training-intensity distribution leads to greater physiological and performance adaptations than a threshold model in trained cyclists. Journal of Applied Physiology. 2013 Feb 15;114(4):461–71.
(44) Rosenblat M.A, Perrotta AS, Vicenzino B. Polarized vs. Threshold Training Intensity Distribution on Endurance Sport Performance: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J. Strength Cond. Res. 2019; 33, 3491–3500.
(45) Inoue A, Impellizzeri FM, Pires FO, Pompeu FAMS, Deslandes AC, Santos TM. Effects of Sprint versus High-Intensity Aerobic Interval Training on Cross-Country Mountain Biking Performance: A Randomized Controlled Trial. Baur H, editor. PLOS ONE [Internet]. 2016 Jan 20;11(1):e0145298. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720373/
(46) Inoue A, Impellizzeri FM, Pires FO, Pompeu FAMS, Deslandes AC, Santos TM. Effects of Sprint versus High-Intensity Aerobic Interval Training on Cross-Country Mountain Biking Performance: A Randomized Controlled Trial. Baur H, editor. PLOS ONE [Internet]. 2016 Jan 20;11(1):e0145298. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720373/
Nota do Editor: Imagem meramente ilustrativa. Fonte: li yong (https://commons.wikimedia.org/wiki/File:Roel_Paulissen_and_Rubens_Valeriano_Donizeti.jpg), CC BY-SA 2.0 (https://creativecommons.org/licenses/by-sa/2.0), via Wikimedia Commons - Cycling at the 2008 Summer Olympics – Men's cross-country - Roel Paulissen (Belgium - 10) and Rubens Valeriano Donizeti (Brazil - 38)
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Copyright (c) 2023 Patrick Schneeweiss, Philipp Schellhorn, Daniel Haigis, Andreas Michael Niess, Peter Martus, Inga Krauss
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