Int J Sports Med 2022; 43(14): 1183-1189
DOI: 10.1055/a-1847-5414
Training & Testing

Differences in Training Characteristics Between Junior, Under 23 and Professional Cyclists

Gabriele Gallo
1   Department of Experimental Medicine, Università degli Studi di Genova, Genova, Italy
,
Peter Leo
2   Department of Sports Science, University of Innsbruck, Innsbruck, Austria
,
3   Sports Science, Universidad Miguel Hernandez de Elche, Elche, Spain
,
Andrea Giorgi
4   Medicine, Surgery and Neuroscience, Universita degli Studi di Siena – Presidio San Miniato, Siena, Italy
,
Emanuela Faelli
5   DIMES, Universita degli Studi di Genova, Genova, Italy
,
6   experimental medicine, Universita degli Studi di Genova, Genova, Italy
,
Iñigo Mujika
7   Physiology and Training, USP Araba Sport Clinic, Vitoria-Gasteiz, Spain
,
8   Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milano, Italy
› Author Affiliations

Abstract

The aim was to compare the training characteristics of junior, under 23 and professional road cyclists. Training data collected during the 2019 competitive season of thirty male cyclists, divided into three age-related categories (JUN; U23; PRO), were retrospectively analyzed for training characteristics, external and internal training load. Higher duration per training session were observed in PRO (2.6±0.3 h) compared to both U23 (2.2±0.3 h; P<0.001) and JUN (2.0±0.2 h; P<0.001). Elevation gain per distance was higher in PRO (13.8±1.9 m·km−1) compared to U23 (10.6±0.9 m·km−1; P=0.001) and JUN (6.7±0.3 m·km-1; P<0.001), and in U23 compared to JUN (P<0.001). Annual total work was lower in JUN (3694±467 kJ·kg−1) compared to U23 (5268±746 kJ·kg−1; P=0.001) and PRO (5759±1103 kJ·kg−1; P<0.001). eTRIMP per hour was higher in JUN (151±40) compared to both U23 (115±23; P=0.003) and PRO (112±22; P=0.013). JUN spent more training time at medium and high heart rate intensity zones compared to U23 and PRO (P<0.05).



Publication History

Received: 28 December 2021

Accepted: 05 May 2022

Accepted Manuscript online:
09 May 2022

Article published online:
09 August 2022

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  • References

  • 1 Mujika I. Quantification of training and competition loads in endurance sports: Methods and applications. Int J Sports Physiol Perform 2017; 12: S29-S217
  • 2 Impellizzeri FM, Marcora SM, Coutts AJ. Internal and external training load: 15 years on. Int J Sports Physiol Perform 2019; 14: 270-273
  • 3 Zapico AG, Calderón FJ, Benito PJ. et al. Evolution of physiological and haematological parameters with training load in elite male road cyclists: A longitudinal study. J Sports Med Phys Fitness 2007; 47: 191-196
  • 4 Metcalfe AJ, Menaspà P, Villerius V. et al. Within-season distribution of external training and racing workload in professional male road cyclists. Int J Sports Physiol Perform 2017; 12: S2142-S2146
  • 5 Van Erp T, Sanders D, De Koning JJ. Training characteristics of male and female professional road cyclists: A 4-year retrospective analysis. Int J Sports Physiol Perform 2020; Online ahead of print.
  • 6 Leo P, Spragg J, Simon D. et al. Training characteristics and power profile of professional u23 cyclists throughout a competitive season. Sports (Basel) 2020; 8: 167
  • 7 Gallo G, Filipas L, Tornaghi M. et al. Thresholds Power Profiles and Performance in Youth Road Cycling. Int J Sports Physiol Perform 2021; 16: 1049-1051
  • 8 Gallo G, Leo P, Mateo-March M. et al. Cross-sectional differences in race demands between junior, under 23, and professional road cyclists. Int J Sports Physiol Perform 2022; 17: 450-457
  • 9 van Erp T, Sanders D, Lamberts RP. Maintaining power output with accumulating levels of work done is a key determinant for success in professional cycling. Med Sci Sports Exerc 2021; 53: 1903-1910
  • 10 Menaspà P, Impellizzeri FM, Haakonssen EC. et al. Consistency of commercial devices for measuring elevation gain. Int J Sports Physiol Perform 2014; 9: 884-886
  • 11 Maier T, Schmid L, Müller B. et al. Accuracy of cycling power meters against a mathematical model of treadmill cycling. Int J Sports Med 2017; 38: 456-461
  • 12 Sanders D, van Erp T, de Koning JJ. Intensity and load characteristics of professional road cycling: Differences between men’s and women’s races. Int J Sports Physiol Perform 2019; 14: 296-302
  • 13 Menaspà P, Sias M, Bates G. et al. Demands of world cup competitions in elite women’s road cycling. Int J Sports Physiol Perform 2017; 12: 1293-1296
  • 14 Edwards S. The heart rate monitor book. Med Sci Sports Exerc 1994; 26: 647
  • 15 Bakeman R. Recommended effect size statistics for repeated measures designs. Behav Res Methods 2005; 37: 379-384
  • 16 Wassertheil S, Cohen J. Statistical power analysis for the behavioral sciences. Biometrics 1970; 26: 588
  • 17 Mujika I, Halson S, Burke LM. et al. An integrated, multifactorial approach to periodization for optimal performance in individual and team sports. Int J Sports Physiol Perform 2018; 13: 538-561
  • 18 Filipas L, Bonato M, Gallo G. et al. Effects of 16 weeks of pyramidal and polarized training intensity distributions in well-trained endurance runners. Scand J Med Sci Sports 2022; 32: 498-511
  • 19 Laursen PB. Training for intense exercise performance: High-intensity or high-volume training?. Scand J Med Sci Sports 2010; 20: 1-10
  • 20 Rønnestad BR, Hansen EA, Raastad T. Strength training improves 5-min all-out performance following 185min of cycling. Scand J Med Sci Sports 2011; 21: 250-259
  • 21 Vikmoen O, Rønnestad BR, Ellefsen S. et al. Heavy strength training improves running and cycling performance following prolonged submaximal work in well-trained female athletes. Physiol Rep 2017; 5: e13149
  • 22 Pinot J, Grappe F. A six-year monitoring case study of a top-10 cycling Grand Tour finisher. J Sports Sci 2015; 33: 907-914