Affiliation:
1. Southern Methodist University, Locomotor Performance Laboratory, Department of Applied Physiology & Wellness, Dallas, TX 75206, USA
Abstract
The relationship between gait mechanics and running ground reaction forces is widely regarded as complex. This viewpoint has evolved primarily via efforts to explain the rising-edge of vertical force-time waveforms observed during slow human running. Existing theoretical models do provide good rising-edge fits, but require more than a dozen input variables to sum the force contributions of four or more vague components of the body's total mass (mb). Here, we hypothesized that the force contributions of two discrete body mass components are sufficient to account for vertical ground reaction force-time waveforms patterns in full [stance foot and shank, m1=0.08•mb; remaining mass, m2=0.92•mb]. We tested this hypothesis directly by acquiring simultaneous limb motion and ground reaction force data across a broad range of running speeds (3.0-11.1 m•s−1) from 42 subjects who differed in body mass (range: 43-105 kg) and foot-strike mechanics. Predicted waveforms were generated from our two-mass model using body mass and three stride-specific measures: contact time, aerial time, and lower-limb vertical acceleration during impact. Measured waveforms (n=500) differed in shape and varied by more than two-fold in amplitude and duration. Nonetheless, the overall agreement between the 500 measured waveforms and those generated independently by the model approached unity (R2=0.95±0.04; mean±sd), with minimal variation across the slow, medium and fast running speeds tested (ΔR2≤0.04), and between rear-foot (R2=0.94±0.04, n=177) vs. fore-foot (R2=0.95±0.04, n=323) strike mechanics. We conclude that two, anatomically-discrete components of the body's mass are sufficient to fully explain running vertical ground reaction forces.
Funder
US Army Medical and Materiel Command
Publisher
The Company of Biologists
Subject
Insect Science,Molecular Biology,Animal Science and Zoology,Aquatic Science,Physiology,Ecology, Evolution, Behavior and Systematics
Cited by
67 articles.
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