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Updated: May 16, 2025

Influence of Step-Width Manipulation on Running Biomechanics
Published on: February 28, 2025
Effects of load carriage on lateral stepping regulation during forced-marching
Kellen T Krajewski1, Camille C Johnson2, Qi Mi3
1Department of Sports Medicine and Nutrition, University of Pittsburgh, PA, USA; Department of Orthopedics, University of Colorado School of Medicine, Aurora, CO, USA.
None:
Forced-marching with heavy loads is a typical task for warfighters. Unfortunately, injury incidence is high during these tasks with the most common mechanism of injury being a slip, trip, or fall. Given that individuals are less stable in the mediolateral plane we sought to understand how load carriage, sex and task completion impacts parameters of mediolateral stability during forced-marching. Twenty-four (12F, 12 M) recruit-aged adults (18-35 years) completed trials of forced-marching unloaded and with a load 55 % of bodyweight. Mean and standard deviation of center of mass position (zB), heading (ΔzB), step-width (w), and trunk impulse (JTrunk) were calculated. Detrended fluctuation analysis and direct control analysis were performed on time-series of each parameter. Only JTrunk mean and variability changed between conditions, increasing with load (p = 0.006; p < 0.001). Load had no effect on zB and ΔzB control with the former being minimally controlled and the latter tightly regulated. The addition of load decreased (p = 0.004) control of w and JTrunk but the latter was still tightly regulated. There were no effects of sex but individuals who failed to complete the loaded trial had greater (p = 0.038) JTrunk compared to those who did. The continued strict regulation of JTrunk when loaded suggests an attempt to reduce large magnitude deviations. Larger JTrunk of individuals unable to complete the task may indicate limited trunk muscle strength/endurance to restrict impulse. Alternatively, these individuals may utilize a coordinative pattern poorly suited for constraining trunk movement. Therefore, JTrunk may represent an important parameter of assessment to identify individuals of greater risk.
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