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Is There a Pathologic Running Motion Associated with Running-Related Injuries? A Methodological Study Using a Motion
Hyok Woo Nam1, Jae Hyuk Yang2, Seul Gi Park2
1Nam's Orthopedic Running Clinic, 494, Yongmasan-ro, Jungnang-gu, Seoul 02182, Republic of Korea.
Medicina (Kaunas, Lithuania)
|August 29, 2024
Summary
Running-related injuries (RRIs) can be predicted by analyzing running posture without sensors. Key indicators include pelvic balance, spinal alignment, hip hike, and forward head posture (FHP), aiding in injury prevention and treatment.
Area of Science:
- Biomechanics
- Sports Medicine
- Kinesiology
Background:
- Running-related injuries (RRIs) are frequently linked to poor running form and overuse.
- A sensor-free method for analyzing running motion offers a practical approach to identify injury risks.
Purpose of the Study:
- To analyze and compare running motions in individuals with and without RRIs.
- To identify key biomechanical predictors of RRIs using a sensor-free technique.
Main Methods:
- 155 runners were categorized into a normal group (n=50) and an RRI group (n=105).
- Posture analysis included forward head posture (FHP), trunk lean, hip rotation, center of gravity (COG) movements, pelvic rotation, hip hike, and foot strike type.
- Logistic regression analysis was employed to determine predictors of RRIs.
Main Results:
- Pelvic left-right balance and spinal posture during running were significantly associated with RRIs.
- Differences in hip hike and FHP were identified as primary predictors for running-related musculoskeletal injuries.
Conclusions:
- Sensor-free running motion analysis can effectively identify pathological movements.
- This approach is valuable for the prevention and treatment strategies of RRIs.
