alexa Gait retraining to reduce the knee adduction moment through real-time visual feedback of dynamic knee alignment.
Mathematics

Mathematics

Journal of Biometrics & Biostatistics

Author(s): Barrios JA, Crossley KM, Davis IS

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Abstract Varus knee alignment is a risk factor for medial knee osteoarthritis and is associated with high knee adduction moments. Therefore, reducing the knee adduction moment in varus-aligned individuals with otherwise healthy knees may reduce their risk for developing osteoarthritis. A gait modification that improves dynamic knee alignment may reduce the adduction moment, and systematic training may lead to more natural-feeling and less effortful execution of this pattern. To test these hypotheses, eight healthy, varus-aligned individuals underwent a gait modification protocol. Real-time feedback of dynamic knee alignment was provided over eight training sessions, using a fading paradigm. Natural and modified gait were assessed post-training and after 1 month, and compared to pre-training natural gait. The knee adduction moment, as well as hip adduction, hip internal rotation and knee adduction angles were evaluated. At each training session, subjects rated how effortful and natural-feeling the modified pattern was to execute. Post-training, the modified pattern demonstrated an 8 degrees increase in hip internal rotation and 3 degrees increase in hip adduction. Knee adduction decreased 2 degrees , and the knee adduction moment decreased 19\%. Natural gait did not differ between the three visits, nor did the modified gait pattern between the post-training and 1 month visits. The modified pattern felt more natural and required less effort after training. Based on these results, gait retraining to improve dynamic knee alignment resulted in significant reductions in the knee adduction moment, primarily through hip internal rotation. Further, systematic training led to more natural-feeling and less effortful execution of the gait pattern. Copyright 2010 Elsevier Ltd. All rights reserved.
This article was published in J Biomech and referenced in Journal of Biometrics & Biostatistics

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