Asymmetry in foot pressure distribution patterns during bend sprinting

Main Article Content

Hayato Ohnuma
https://orcid.org/0009-0002-7954-2998
Akihito Kumano
Yoshihiro Chiba
Takaya Yoshimoto
https://orcid.org/0000-0001-6582-6426

Abstract

In curved track sprinting under high running speeds, such as in the short distance events of athletics, there are left-right differences in the exertion of force. However, the characteristics of the differences in foot pressure distribution related to force production during a curved track sprint have not yet been investigated. The purpose of this study was to clarify the asymmetry of foot pressure distribution during bend sprinting. Thirteen male university sprinters performed three maximum-effort 60 m sprints on a curved track with a radius of 37.9 m. Foot pressure was measured using a wireless insole pressure sensor system with 13 sensors per foot. The maximum foot pressure and the pressure of each sensor at the time of maximum foot pressure were calculated. No significant difference was observed between the left and right legs in terms of the maximum foot pressure. However, the pressure ratio at the sensor located near the fifth toe (Ch0) was significantly higher in the right leg than that in the left leg. By contrast, the pressure ratios at the sensors located around the first cuneiform (Ch8 and Ch10) were significantly higher in the left leg than in the right leg. These results suggest that during bend sprinting, mechanical loading is greater around the first toe in the right foot than in the left foot and around the medial midfoot in the left foot than in the right foot. These findings have implications for the performance enhancement and injury prevention of sprinters.

Downloads

Download data is not yet available.

Article Details

Section

Biomechanics

Author Biographies

Hayato Ohnuma, Kobe Women's University

Faculty of Health and Welfare.

Akihito Kumano, Kansai University of Social Welfare

Faculty of Social Welfare.

Yoshihiro Chiba, Josai University

Faculty of Management.

Takaya Yoshimoto, Hyogo University of Teacher Education

Graduate School of Education.

How to Cite

Ohnuma, H., Kumano, A., Chiba, Y., & Yoshimoto, T. (2025). Asymmetry in foot pressure distribution patterns during bend sprinting. Journal of Human Sport and Exercise , 20(4), 1094-1100. https://doi.org/10.55860/t188jf24

References

Alt, T., Heinrich, K., Funken, J., & Potthast, W. (2015). Lower extremity kinematics of athletics curve sprinting. Journal of sports sciences, 33(6), 552-560. https://doi.org/10.1080/02640414.2014.960881

Barratt, G. K., Bellenger, C., Robertson, E. Y., Lane, J., & Crowther, R. G. (2021). Validation of Plantar Pressure and Reaction Force Measured by Moticon Pressure Sensor Insoles on a Concept2 Rowing Ergometer. Sensors (Basel, Switzerland), 21(7), 2418. https://doi.org/10.3390/s21072418

Braun, B. J., Veith, N. T., Hell, R., Döbele, S., Roland, M., Rollmann, M., Holstein, J., & Pohlemann, T. (2015). Validation and reliability testing of a new, fully integrated gait analysis insole. Journal of foot and ankle research, 8, 54. https://doi.org/10.1186/s13047-015-0111-8

Cavanagh, P. R. (1987). The biomechanics of lower extremity action in distance running. Foot & ankle, 7(4), 197-217. https://doi.org/10.1177/107110078700700402

Chang, Y. H., & Kram, R. (2007). Limitations to maximum running speed on flat curves. The Journal of experimental biology, 210(Pt 6), 971-982. https://doi.org/10.1242/jeb.02728

Churchill, S. M., Salo, A. I., & Trewartha, G. (2015). The effect of the bend on technique and performance during maximal effort sprinting. Sports biomechanics, 14(1), 106-121. https://doi.org/10.1080/14763141.2015.1024717

Churchill, S. M., Trewartha, G., Bezodis, I. N., & Salo, A. I. (2016). Force production during maximal effort bend sprinting: Theory vs reality. Scandinavian journal of medicine & science in sports, 26(10), 1171-1179. https://doi.org/10.1111/sms.12559

Davis, R., Ounpuu, S., Tyburski, D., & Gage, J. (1991). A gait analysis data collection and reduction technique. Human Movement Sciences, 10, 575-587. https://doi.org/10.1016/0167-9457(91)90046-Z

Ferro, A., & Floria, P. (2013). Differences in 200-m sprint running performance between outdoor and indoor venues. Journal of strength and conditioning research, 27(1), 83-88. https://doi.org/10.1519/JSC.0b013e31824f21c6

Greene, P. R. (1985). Running on flat turns: experiments, theory, and applications. Journal of biomechanical engineering, 107(2), 96-103. https://doi.org/10.1115/1.3138542

Hanon, C., & Gajer, B. (2009). Velocity and stride parameters of world-class 400-meter athletes compared with less experienced runners. Journal of strength and conditioning research, 23(2), 524-531. https://doi.org/10.1519/JSC.0b013e318194e071

Ishimura, K., & Sakurai, S. (2016). Asymmetry in Determinants of Running Speed During Curved Sprinting. Journal of applied biomechanics, 32(4), 394-400. https://doi.org/10.1123/jab.2015-0127

Judson, L. J., Churchill, S. M., Barnes, A., Stone, J. A., Brookes, I. G. A., & Wheat, J. (2019). Horizontal force production and multi-segment foot kinematics during the acceleration phase of bend sprinting. Scandinavian journal of medicine & science in sports, 29(10), 1563-1571. https://doi.org/10.1111/sms.13486

Mackala, K. (2007). Optimisation of performance through kinematic analysis of the different phases of the 100 metres. New Studies in Athletics, 22, 7-16.

Nagahara, R., & Morin, J.-B. (2018). Sensor insole for measuring temporal variables and vertical force during sprinting. Proceedings of the Institution of Mechanical Engineers, Part P, 232(4), 369-374. https://doi.org/10.1177/1754337117751730

Oerbekke, M. S., Stukstette, M. J., Schütte, K., de Bie, R. A., Pisters, M. F., & Vanwanseele, B. (2017). Concurrent validity and reliability of wireless instrumented insoles measuring postural balance and temporal gait parameters. Gait & posture, 51, 116-124. https://doi.org/10.1016/j.gaitpost.2016.10.005

Quinn, M. D. (2009). The effect of track geometry on 200- and 400-m sprint running performance. Journal of sports sciences, 27(1), 19-25. https://doi.org/10.1080/02640410802392707

Stöggl, T., & Martiner, A. (2017). Validation of Moticon's OpenGo sensor insoles during gait, jumps, balance and cross-country skiing specific imitation movements. Journal of sports sciences, 35(2), 196-206. https://doi.org/10.1080/02640414.2016.1161205

Stoner, L. J., & Ben-Sira, D. (1979). Sprinting on the Curve. In J. Terauds & G. G. Dale (Eds.), Science in Athletics, 167-173.

Williams, D. S., 3rd, McClay, I. S., & Hamill, J. (2001). Arch structure and injury patterns in runners. Clinical biomechanics (Bristol, Avon), 16(4), 341-347. https://doi.org/10.1016/S0268-0033(01)00005-5

Similar Articles

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)