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Int J Sports Med 2023; 44(13): 976-982
DOI: 10.1055/a-1979-5849
Training & Testing

The Effect of Using Marathon Shoes or Track Spikes on Neuromuscular Fatigue caused by a Long-distance Track Training Session

Santiago A. Ruiz-Alias 
1   Department of Physical Education and Sport, University of Granada, Granada, Spain
,
Alejandro Pérez-Castilla 
2   Department of Education, Faculty of Education Sciences, University of Almeria, Almeria, Spain
,
Víctor M Soto-Hermoso 
1   Department of Physical Education and Sport, University of Granada, Granada, Spain
,
Felipe García-Pinillos 
1   Department of Physical Education and Sport, University of Granada, Granada, Spain
3   Physical Education, Sports and Recreation, Universidad de La Frontera, Temuco, Chile
› Author Affiliations Funding Ministerio de Ciencia e Innovación — http://dx.doi.org/10.13039/501100004837; PID2020–115600RB-C21; Ministerio de Universidades — FPU19/00542
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Abstract

This study aims to compare the effect of the Nike ZoomX Dragonfly track spikes and the Nike ZoomX VaporflyNext% 2 marathon shoes on the fatigue manifestations present over and after a long-distance track training session. Thirteen highly trained athletes completed two training sessions (i. e., 9- and 3-minute time trials with complete recovery) with the aforementioned footwear models. The pace, ground contact time, and stride length were measured over the time trials, and maximal countermovement jumps were performed previously and after the training session. The results revealed that, although there was no significant interaction in the pace distribution (p≥0.072), athletes tend to be only able to increase the pace at the last lap with the marathon shoes (5.4 meters [−3.7 to 14.5 meters]) meanwhile with the track spikes it further decreased (−3.1 meters [−9.8 to 3.6 meters]). A reduced ground contact time over the session (p=0.025) and a tendency toward increasing stride length (p=0.09) in the last time trial were observed. The significant interaction on the countermovement jump height (p=0.023; Track spikes: −5.60%; Marathon shoes: 0.61%) also indicates that footwear influences the resulted allostatic load.

Key words

running performance - training - fatigue


Publication History

Received: 11 October 2022

Accepted: 15 November 2022

Accepted Manuscript online:
15 November 2022

Article published online:
06 October 2023

© 2022. Thieme. All rights reserved.

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Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • References

  • 1 Lundby C, Robach P. Performance enhancement: What are the physiological limits? Physiology. Am. J. Physiol 2015; 30: 282-292
    PubMedGoogle Scholar
  • 2 Ruiz-Alias SA, Molina-Molina A, Soto-Hermoso VM. et al. A Systematic Review of the Effect of Running Shoes on Running Economy, Performance and Biomechanics: Analysis by Brand and Model. Sports Biomech 2022; 1-22
    PubMedGoogle Scholar
  • 3 Tung KD, Franz JR, Kram R. A test of the metabolic cost of cushioning hypothesis during unshod and shod running. Med Sci Sports Exerc 2014; 46: 324-329
    CrossrefPubMedGoogle Scholar
  • 4 Ortega JA, Healey LA, Swinnen W. et al. Energetics and Biomechanics of Running Footwear with Increased Longitudinal Bending Stiffness: A Narrative Review. J. Sports Med. 2021; 51: 873-894
    CrossrefPubMedGoogle Scholar
  • 5 Healey L, Bertschy M, Kipp S. et al. Can We Quantify the Benefits of “Super Spikes” in Track Running?. J. Sports Med 2022; 52: 1211-1218
    CrossrefPubMedGoogle Scholar
  • 6 Barnes KR, Kilding AE. A Randomized Crossover Study Investigating the Running Economy of Highly-Trained Male and Female Distance Runners in Marathon Racing Shoes versus Track Spikes. J. Sports Med 2019; 49: 331-342
    CrossrefPubMedGoogle Scholar
  • 7 Dinato RC, Cruz R, Azevedo RA. et al. Footwear designed to enhance energy return improves running economy compared to a minimalist footwear: does it matter for running performance? Braz. J. Med. Biol 2021; 54
    PubMedGoogle Scholar
  • 8 Davis JM, Bailey SP. Possible mechanisms of central nervous system fatigue during exercise. Med Sci Sports Exerc 1997; 29: 45-57
    CrossrefPubMedGoogle Scholar
  • 9 Bachero-Mena B, González-Badillo JJ. Mechanical and Metabolic Responses during High-intensity Training in Elite 800-m Runners. Int J Sports Med 2021; 42: 350-356
    Article in Thieme ConnectPubMedGoogle Scholar
  • 10 Nummela AT, Heath KA, Paavolainen LM. et al. Fatigue during a 5-km running time trial. Int J Sports Med 2008; 29: 738-745
    Article in Thieme ConnectPubMedGoogle Scholar
  • 11 Sanno M, Epro G, Brüggemann GP. Running into Fatigue: The Effects of Footwear on Kinematics, Kinetics, and Energetics. Med Sci Sports Exerc 2021; 53: 1217-1227
    CrossrefPubMedGoogle Scholar
  • 12 Kirby BS, Hughes E, Haines M. et al. Influence of performance running footwear on muscle soreness and damage. Footwear Sci 2019; 11: 188-189
    CrossrefPubMedGoogle Scholar
  • 13 Vercruyssen F, Tartaruga M, Horvais N. et al. Effects of Footwear and Fatigue on Running Economy and Biomechanics in Trail Runners. Med Sci Sports Exerc 2016; 48: 1976-1984
    CrossrefPubMedGoogle Scholar
  • 14 Noakes TD, Gibson ASC, Lambert EV. From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans: summary and conclusions. Br J Sports Med 2005; 39: 120-124
    CrossrefPubMedGoogle Scholar
  • 15 Kirby BS, Winn BJ, Wilkins BW. et al. Interaction of exercise bioenergetics with pacing behavior predicts track distance running performance. J Appl Physiol 2021; 131: 1532-1542
    CrossrefPubMedGoogle Scholar
  • 16 McKay AK, Stellingwerff T, Smith ES. et al. Defining Training and Performance Caliber: A Participant Classification Framework. Int J Sports Physiol Perform 2022; 17: 317-331
    CrossrefPubMedGoogle Scholar
  • 17 Esculier JF, Dubois B, Dionne CE. et al. A consensus definition and rating scale for minimalist shoes. J Foot Ankle Res 2015; 8: 1-9
    CrossrefPubMedGoogle Scholar
  • 18 Borg E, Borg G. A comparison of AME and CR100 for scaling perceived exertion. Acta Psychol 2002; 109: 157-175
    CrossrefPubMedGoogle Scholar
  • 19 Imbach F, Candau R, Chailan R. et al. Validity of the Stryd Power Meter in Measuring Running Parameters at Submaximal Speeds. Sports 2020; 8: 103
    CrossrefPubMedGoogle Scholar
  • 20 García-Pinillos F, Roche-Seruendo LE, Marcén-Cinca N. et al. Absolute reliability and concurrent validity of the Stryd system for the assessment of running stride kinematics at different velocities. J. Strength Cond. Res 2021; 35: 78-84
    CrossrefPubMedGoogle Scholar
  • 21 Navalta JW, Montes J, Bodell NG. et al. Reliability of Trail Walking and Running Tasks Using the Stryd Power Meter. Int J Sports Med 2019; 40: 498-502
    Article in Thieme ConnectPubMedGoogle Scholar
  • 22 Stryd, Stryd PowerCenter (2022). In internet: https://www.stryd.com/powercenter; (14 Nov 2022)
    PubMed
  • 23 Jiménez-Reyes P, Samozino P, Pareja-Blanco F. et al. Validity of a Simple Method for Measuring Force-Velocity-Power Profile in Countermovement Jump. Int J Sports Physiol Perform 2017; 12: 36-43
    CrossrefPubMedGoogle Scholar
  • 24 Glatthorn JF, Gouge S, Nussbaumer S. et al. Validity and reliability of Optojump photoelectric cells for estimating vertical jump height. J. Strength Cond. Res 2011; 25: 556-560
    CrossrefPubMedGoogle Scholar
  • 25 Turner A, Brazier J, Bishop C. et al. Data analysis for strength and conditioning coaches: Using excel to analyze reliability, differences, and relationships. Strength Cond J 2015; 37: 76-83
    CrossrefPubMedGoogle Scholar
  • 26 Sanno M, Willwacher S, Epro G. et al. Positive work contribution shifts from distal to proximal joints during a prolonged run. Med Sci Sports Exerc 2018; 50: 2507-2517
    CrossrefPubMedGoogle Scholar
  • 27 Willer J, Allen SJ, Burden RJ. et al. Neuromechanics of Middle-Distance Running Fatigue: A Key Role of the Plantarflexors?. Med Sci Sports Exerc 2021; 53: 2119-2130
    CrossrefPubMedGoogle Scholar
  • 28 Nigg BM, Cigoja S, Nigg SR. Teeter-totter effect: a new mechanism to understand shoe-related improvements in long-distance running. Br J Sports Med 2021; 55: 462-463
    CrossrefPubMedGoogle Scholar
  • 29 Cigoja S, Fletcher JR, Nigg BM. Can changes in midsole bending stiffness of shoes affect the onset of joint work redistribution during a prolonged run?. J Sport Health Sci 2020; 11: 293-302
    CrossrefPubMedGoogle Scholar
  • 30 Becker J, Borgia B. Kinematics and muscle activity when running in partial minimalist, traditional, and maximalist shoes. J Electromyogr Kinesiol 2020; 50: 102379
    CrossrefPubMedGoogle Scholar
  • 31 Garofolini A, Taylor S, Mclaughlin P. et al. Ankle joint dynamic stiffness in long-distance runners: Effect of foot strike and shoes features. Appl. Sci. 2019; 9: 4100
    CrossrefPubMedGoogle Scholar
  • 32 Xu Y, Yuan P, Wang R. et al. Effects of foot strike techniques on running biomechanics: a systematic review and meta-analysis. Sports Health 2021; 13: 71-77
    CrossrefPubMedGoogle Scholar
  • 33 Friden J, Sjöström M, Ekblom B. Myofibrillar damage following intense eccentric exercise in man. Int J Sports Med 1983; 4: 170-176
    Article in Thieme ConnectPubMedGoogle Scholar
  • 34 Chen TC, Nosaka K, Lin MJ. Changes in running economy at different intensities following downhill running. J Sports Sci 2009; 27: 1137-1144
    CrossrefPubMedGoogle Scholar
  • 35 García-Pinillos F, Ramírez-Campillo R, Boullosa D. et al. Vertical Jumping as a Monitoring Tool in Endurance Runners: A Brief Review. J Hum Kinet 2021; 80: 297-308
    CrossrefPubMedGoogle Scholar
  • 36 Gathercole RJ, Sporer BC, Stellingwerff T. et al. Comparison of the capacity of different jump and sprint field tests to detect neuromuscular fatigue. J Strength Cond Res 2015; 29: 2522-2531
    CrossrefPubMedGoogle Scholar
  • 37 Jiménez-Reyes P, Pareja-Blanco F, Cuadrado-Peñafiel V. et al. Jump height loss as an indicator of fatigue during sprint training. J. Sports Sci 2018; 37: 1029-1037
    CrossrefPubMedGoogle Scholar
  • 38 del Coso J, Fernández D, Abián-Vicen J. et al. Running pace decrease during a marathon is positively related to blood markers of muscle damage. PLoS One 2013; 8: e57602
    CrossrefPubMedGoogle Scholar
  • 39 García-Pinillos F, Delgado-Floody P, Martínez-Salazar C. Responsiveness of the countermovement jump and handgrip strength to an incremental running test in endurance athletes: Influence of sex. J Hum Kinet 2018; 61: 199-208
    CrossrefPubMedGoogle Scholar
  • 40 Black MI, Kranen SH, Kadach S. et al. Highly Cushioned Shoes Improve Running Performance in Both the Absence and Presence of Muscle Damage. Med Sci Sports Exerc 2022; 54: 633
    CrossrefPubMedGoogle Scholar
  • 41 Ek A, Kowalski J, Jacobsson J. Training in spikes and number of training hours correlate to injury incidence in youth athletics (track and field): A prospective 52-week study. J Sci Med Sport 2022; 25: 122-128
    CrossrefPubMedGoogle Scholar
  • 42 Ruiz-Alias SA, Olaya-Cuartero J, Ñacupil-Andrade A. et al. 9/3-Minute Running Critical Power Test: Mechanical Threshold Location With Respect to Ventilatory Thresholds and Maximum Oxygen Uptake. Int J Sports Physiol Perform 2022; 1: 1-8
    PubMedGoogle Scholar