Does an increase in energy return and/or longitudinal bending stiffness shoe features reduce the energetic cost of running?
This study focused on the effects of shoe energy return and shoe longitudinal bending stiffness on the energetic cost and biomechanics of running.
The energetic cost of running and biomechanical variables altering running economy (ground contact times, stride frequency, vertical and leg stiffness, ground reaction force impulses, alignment between the resultant ground reaction force and the leg) were measured for nineteen male recreational runners. Participants ran overground under their ventilatory anaerobic threshold (10.8 ± 1.1 km h−1 on average) using four shoe prototypes with features combining low or high magnitudes of energy return and longitudinal bending stiffness.
Neither the energy return, nor the longitudinal bending stiffness, or the interaction of these shoe features altered the energetic cost of running. High energy return shoes induced significant increased ground contact time from 274.5 ± 18.3 to 277.1 ± 18.7 ms, and significant decreased stride frequency from 1.34 ± 0.05 to 1.33 ± 0.05 Hz. High bending stiffness shoes induced significant increased ground contact time from 273.8 ± 18.2 to 277.9 ± 18.7 ms, significant increased vertical stiffness from 23.2 ± 3.4 to 23.8 ± 3.0 kN m−1, and significant decreased net vertical impulse from 245.4 ± 17.2 to 241.7 ± 17.5 BW ms.
Increased energy return and longitudinal bending stiffness induced subtle changes in the running biomechanics, but did not induce any decrease in the energetic cost of running.
KeywordsFootwear Running economy Biomechanics Ground reaction force
Analysis of variance
Ground reaction force
Statistical parametric mapping
Ventilatory anaerobic threshold
Authors would thank Marvin Dufrenne, Delphine Chadefaux and Romain Hardouin (Aix-Marseille University) for their help during the data acquisition. Authors also thank Alexia Cariou and Estelle Le Gendre (Decathlon SportsLab) for their statistical support, and Dr. Todd Pataky (Kyoto University) for the suitable use of the Statistical Parametric Mapping procedure. Special thanks to Dr. Cédric Morio (Decathlon SportsLab) for his useful advices about the experimental procedure and the data analysis, and Mikku Knudsen (Decathlon SportsLab) for his English review.
NF performed the research design, the experiments, the data analysis, and the manuscript writing. ND, EB and GR contributed in the research design and in the manuscript writing. ND and GR contributed in the data analysis. All authors read and approved the manuscript.
Compliance with ethical standards
Conflict of interest
NF and ND are members of the company Decathlon™ in the research department. NF and ND did not report any conflict of interest because the shoe conditions used in this study were prototypes without any commercial value. NF, ND, EB and GR declared that the results of the study are presented clearly, honestly, and without fabrication, falsification, nor inappropriate data manipulation.
All procedures performed in this study involving human participants were in accordance with the ethical standards of the Aix-Marseille University institutional research and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
- American Society for Testing and Materials AF-13 (2013) Standard test method for impact attenuation of athletic shoe cushioning systems and materialsGoogle Scholar
- Baldari C, Meucci M, Bolletta F, Gallotta MC, Emerenziani GP, Guidetti L (2015) Accuracy and reliability of COSMED K5 portable metabolic device versus simulating system. Sport Sci Health 11:S58Google Scholar
- Gordon D, Wightman S, Basevitch I, Johnstone J, Espejo-Sanchez C, Beckford C, Boal M, Scruton A, Ferrandino M, Merzbach V (2017) Physiological and training characteristics of recreational marathon runners. Open Access J Sports Med 8:231–241. https://doi.org/10.2147/OAJSM.S141657 CrossRefPubMedPubMedCentralGoogle Scholar
- Mezzani A, Agostoni P, Cohen-Solal A, Corrà U, Jegier A, Kouidi E, Mazic S, Meurin P, Piepoli M, Simon A, Van Laethem C, Venhees L (2009) Standards for the use of cardiopulmonary exercise testing for the functional evaluation of cardiac patients: a report from the Exercise Physiology Section of the European Association for Cardiovascular Prevention and Rehabilitation. Eur J Cardiovasc Prev Rehabil 16:249–267. https://doi.org/10.1097/HJR.0b013e32832914c8 CrossRefPubMedGoogle Scholar
- Neville J, Wixted A, Rowlands D, James D (2010) Accelerometers: an underutilized resource in sports monitoring. In: 2010 Sixth international conference on intelligent sensors, sensor networks and information processing. IEEE, pp 287–290Google Scholar
- Pataky TC, Vanrenterghem J, Robinson MA (2015) Zero- vs. one-dimensional, parametric vs. non-parametric, and confidence interval vs. hypothesis testing procedures in one-dimensional biomechanical trajectory analysis. J Biomech 48:1277–1285. https://doi.org/10.1016/j.jbiomech.2015.02.051 CrossRefPubMedGoogle Scholar
- Roy J-PR, Stefanyshyn DJ (2006) Shoe midsole longitudinal bending stiffness and running economy, joint energy, and EMG. Med Sci Sport Exerc 38:562–569. https://doi.org/10.1249/01.mss.0000193562.22001.e8 CrossRefGoogle Scholar