Date

5-20-2026

Degree

Master of Science in Human Performance (MS)

Chair

David Titcomb

Keywords

Running injury prevention, running assessment tool, Kinovea software

Disciplines

Health and Physical Education | Sports Sciences

Abstract

Injury risk is high within the recreational running community and thus there is a need for proper monitoring to prevent injury. Proper monitoring can help minimize injury by identifying abnormal running kinematics which are linked to running related injuries (RRIs). The single-leg squat (SLS) is often preferred for testing due to its feasibility but has not been correlated to running for some lower extremity kinematics. The purpose of this study was to examine knee valgus/varus, hip adduction, and contralateral pelvic drop in the SLS and running gait with the use of 2D video analysis software. 42 participants (mean age: 21.41 + 0.26 years) were recruited at Liberty University. Participants completed a SLS and running gait analysis. Raw and displacement angles were measured using Kinovea software. For displacement and raw angles, there was no significant correlation between the SLS and running gait joint measures (p < 0.05). When subjects with trials inconsistent in joint position direction were excluded, there was a significant correlation for the following measures: left knee valgus/varus (r = 0.705, p < 0.001), right knee valgus/varus (r = 0.56, p = 0.008), left hip adduction (r = 0.682, p < 0.001), right hip adduction (r = 0.627, p = 0.002). There was no significant correlation for left contralateral pelvic drop (r = 0.35, p = 0.12) and right contralateral pelvic drop (r = 0.017, p = 0.942). The inconsistent findings of this study indicate that trial variability may highly impact the reliability of the SLS for running monitoring purposes.

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Available for download on Thursday, May 20, 2027

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