Effect of speed and gradient on plantar force when running on an AlterG® treadmill
Background:
Anti-gravity treadmills are used to decrease musculoskeletal loading during treadmill running often in return to play rehabilitation programs. The effect different gradients (uphill/downhill running) have on kinetics and spatiotemporal parameters when using an AlterG® treadmill is unclear with previous research focused on level running only.
Methods:
Ten well-trained healthy male running athletes ran on the AlterG® treadmill at varying combinations of bodyweight support (60, 80, and 100% BW), speed (12 km/hr., 15 km/hr., 18 km/hr., 21 km/hr., and 24 km/hr), and gradients (- 15% decline, - 10, - 5, 0, + 5, + 10 + 15% incline), representing a total of 78 conditions performed in random order. Maximum plantar force and contact time were recorded using a wireless in-shoe force sensor insole system.
Results:
Regression analysis showed a linear relationship for maximum plantar force with bodyweight support and running speeds for level running (p < 0.0001, adj. R2 = 0.604). The linear relationship, however, does not hold for negative gradients at speeds 12 & 15 km/h, with a relative `dip` in maximum plantar force across all assisted bodyweight settings.
Conclusions:
Maximum plantar force peaks are larger with faster running and smaller with more AlterG® assisted bodyweight support (athlete unweighing). Gradient made little difference except for a downhill grade of - 5% decreasing force peaks as compared to level or uphill running.
© Copyright 2021 BMC Sports Science, Medicine and Rehabilitation. BioMed Central. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | endurance sports |
| Tagging: | AlterG® Laufband Neigung |
| Published in: | BMC Sports Science, Medicine and Rehabilitation |
| Language: | English |
| Published: |
2021
|
| Edition: | 07. April 2021 |
| Online Access: | https://doi.org/10.1186/s13102-021-00258-4 |
| Volume: | 13 |
| Issue: | 34 |
| Pages: | 1-8 |
| Document types: | article |
| Level: | advanced |