Biomechanical effects following footstrike pattern modification using wearable sensors
This study sought to examine the biomechanical effects of an in-field sensor-based gait retraining program targeting footstrike pattern modification during level running, uphill running and downhill running.
Design:
Quasi-experimental design.
Methods:
Sixteen habitual rearfoot strikers were recruited. All participants underwent a baseline evaluation on an instrumented treadmill at their preferred running speeds on three slope settings. Participants were then instructed to modify their footstrike pattern from rearfoot to non-rearfoot strike with real-time audio biofeedback in an 8-session in-field gait retraining program. A reassessment was conducted to evaluate the post-training biomechanical effects. Footstrike pattern, footstrike angle, vertical instantaneous loading rate (VILR), stride length, cadence, and knee flexion angle at initial contact were measured and compared.
Results:
No significant interaction was found between training and slope conditions for all tested variables. Significant main effects were observed for gait retraining ( p-values = 0.02) and slopes ( p-values = 0.01). After gait retraining, 75% of the participants modified their footstrike pattern during level running, but effects of footstrike pattern modification were inconsistent between slopes. During level running, participants exhibited a smaller footstrike angle ( p = 0.01), reduced VILR ( p = 0.01) and a larger knee flexion angle ( p = 0.01). Similar effects were found during uphill running, together with a shorter stride length ( p = 0.01) and an increased cadence ( p = 0.01). However, during downhill running, no significant change in VILR was found ( p = 0.16), despite differences found in other biomechanical measurements ( p-values = 0.02-0.05).
Conclusion:
An 8-session in-field gait retraining program was effective in modifying footstrike pattern among runners, but discrepancies in VILR, stride length and cadence were found between slope conditions.
© Copyright 2021 Journal of Science and Medicine in Sport. Elsevier. All rights reserved.
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| Notations: | biological and medical sciences training science technical and natural sciences |
| Tagging: | In-Schuh-Messung Bewegungsmuster |
| Published in: | Journal of Science and Medicine in Sport |
| Language: | English |
| Published: |
2021
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| Online Access: | https://doi.org/10.1016/j.jsams.2020.05.019 |
| Volume: | 24 |
| Issue: | 1 |
| Pages: | 30-35 |
| Document types: | article |
| Level: | advanced |