Identifying Running Deviations in Long Distance Runners Utilizing Gait Profile Analysis: A Case Control Study

Objective: The goal of this study was to utilize Gait Profile Score (GPS) and Deviation Index (GDI), assess its capability differentiating between injured non-injured runners. Design: In total, 45 long-distance runners (15 non-injured, 30 injured), diagnosed with one the following running related injuries, patella femoral pain syndrome, iliotibial medial tibial stress were recruited. Methods: Data obtained from a analysis gait laboratory equipped eight infrared motion-capturing cameras conventional treadmill. Running kinematics recorded according Plug-In model, measuring deviations pelvis lower extremities at sampling rate 200 Hz. GPS GDI calculated integrating limb kinematics. Movement Analysis results compared non-parametric two-sample Wilcoxson test determined whether significant kinematic differences observed. Results: Total score significantly differed Not all expressed by groups. Conclusions: capable discriminating runners’ This new assessment method makes it possible identify injuries using single numerical value evaluate movements in individual joints.