The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Gait retraining to reduce the knee adduction moment through real-time visual feedback of dynamic knee alignment
Open accessAbstract
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° increase in hip internal rotation and 3° increase in hip adduction. Knee adduction decreased 2°, 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 though hip internal rotation. Further, systematic training led to more natural-feeling and less effortful execution of the gait pattern.
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A real-time system for biomechanical analysis of human movement and muscle function
van den Bogert, A. J., Geijtenbeek, T., Even-Zohar, O., Steenbrink, F., & Hardin, E. C. (2013) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-013-1076-z · Cited by 392
Gokeler, A., Benjaminse, A., Hewett, T. E., Paterno, M. V., Ford, K. R., Otten, E., & Myer, G. D. (2013) · Sports Medicine · doi:10.1007/s40279-013-0095-0 · Cited by 114
Bonnette, S., DiCesare, C. A., Kiefer, A. W., Riley, M. A., Barber Foss, K. D., Thomas, S., Kitchen, K., Diekfuss, J. A., & Myer, G. D. (2019) · Journal of sport rehabilitation · doi:10.1123/jsr.2017-0391 · Cited by 25
Metadata
- Authors
- Barrios, J. A., Crossley, K. M., & Davis, I. S.
- Venue
- Journal of Biomechanics
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 43
- Issue
- 11
- Pages
- 2208-2213
- ISSN
- 0021-9290 (ISSN-L)
- OpenAlex
- W2016295900
- Cited by
- 261
- References
- 18
- FWCI
- 8.74
- Type
- journal article
- Language
- en
- Open access
- green
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- Barrios, J. A., Crossley, K. M., & Davis, I. S. (2010). Gait retraining to reduce the knee adduction moment through real-time visual feedback of dynamic knee alignment. Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2010.03.040
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.