Enhanced ground reaction force analyses reveal injury-related Biomechanical differences in runners

This three-part study investigated alternative pre-processing techniques to better understand the differences in patterns of ground reaction force (GRF) and load rate (LR) among runners with running-related injury (RRI). 534 runners were assessed on an instrumented treadmill with 3D kinematic data capture. Participants were classified as "injured" or "uninjured" and "rearfoot" (RF) or "non-rearfoot" (non-RF) strikers. The raw net GRF is normalized by time and then averaged across at least ten steps for the left and right foot; a double Gaussian characterizes the biphasic double-mass-spring model of running gait. Six parameters from the Gaussians were used to describe the relative differences and shape change based on injury condition. LRs were calculated using a central difference numerical derivative of the raw normalized net force data. 32% of runners reached peak negative LR (unloading) within the first 20% of stance. Injured RF strikers had 18% higher peak positive LR and 6% shorter time to peak than uninjured RF strikers (p < 0.05). Injured non-RF strikers showed peak negative LR 10% earlier in normalized stance, with a 10% shorter interval between positive and negative peaks (p < 0.05). The magnitude and timing of impact and active phases of GRF waveforms differed in runners with history of tibial stress fractures and current Achilles tendinopathy (p < 0.05). LR and LR timing are important in relation to specific RRI. These alternative pre-processing methods may help improve mechanistic understanding of GRF and LR and identify gait retraining foci for specific injury diagnoses in the future.

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Publication Details

Journal
Scientific Reports
Published
2025-08-30
DOI
https://doi.org/10.1038/s41598-025-17773-w
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
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article

Enhanced ground reaction force analyses reveal injury-related Biomechanical differences in runners

Lydia G. Pezzullo, Heather K. Vincent, Ryan M. Nixon, Kevin R. Vincent
Scientific Reports
Lower Extremity Biomechanics and Pathologies
article

Enhanced ground reaction force analyses reveal injury-related Biomechanical differences in runners

Lydia G. Pezzullo, Heather K. Vincent, Ryan M. Nixon, Kevin R. Vincent
article en

Abstract

This three-part study investigated alternative pre-processing techniques to better understand the differences in patterns of ground reaction force (GRF) and load rate (LR) among runners with running-related injury (RRI). 534 runners were assessed on an instrumented treadmill with 3D kinematic data capture. Participants were classified as "injured" or "uninjured" and "rearfoot" (RF) or "non-rearfoot" (non-RF) strikers. The raw net GRF is normalized by time and then averaged across at least ten steps for the left and right foot; a double Gaussian characterizes the biphasic double-mass-spring model of running gait. Six parameters from the Gaussians were used to describe the relative differences and shape change based on injury condition. LRs were calculated using a central difference numerical derivative of the raw normalized net force data. 32% of runners reached peak negative LR (unloading) within the first 20% of stance. Injured RF strikers had 18% higher peak positive LR and 6% shorter time to peak than uninjured RF strikers (p < 0.05). Injured non-RF strikers showed peak negative LR 10% earlier in normalized stance, with a 10% shorter interval between positive and negative peaks (p < 0.05). The magnitude and timing of impact and active phases of GRF waveforms differed in runners with history of tibial stress fractures and current Achilles tendinopathy (p < 0.05). LR and LR timing are important in relation to specific RRI. These alternative pre-processing methods may help improve mechanistic understanding of GRF and LR and identify gait retraining foci for specific injury diagnoses in the future.

Scientific ReportsVol. 15(1)
University of Florida (US), RTI Surgical (United States) (US), Florida College (US)
Openalex Percentile: Top 78%
Lower Extremity Biomechanics and Pathologies
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