Literature DB >> 26209875

Muscle force modification strategies are not consistent for gait retraining to reduce the knee adduction moment in individuals with knee osteoarthritis.

Peter B Shull1, Yangjian Huang2, Taylor Schlotman3, Jeffrey A Reinbolt3.   

Abstract

While gait retraining paradigms that alter knee loads typically focus on modifying kinematics, the underlying muscle force modifications responsible for these kinematic changes remain largely unknown. As humans are generally thought to select uniform gait muscle patterns such as strategies based on fatigue cost functions or energy minimization, we hypothesized that a kinematic gait change known to reduce the knee adduction moment (i.e. toe-in gait) would be accompanied by a uniform muscle force modification strategy for individuals with symptomatic knee osteoarthritis. Ten subjects with self-reported knee pain and radiographic evidence of medial compartment knee osteoarthritis performed normal gait and toe-in gait modification walking trials. Two hundred muscle-actuated dynamic simulations (10 steps for normal gait and 10 steps from toe-in gait for each subject) were performed to determine muscle forces for each gait. Results showed that subjects internally rotated their feet during toe-in gait, which decreased the foot progression angle by 7° (p<0.01) and reduced the first peak knee adduction moment by 20% (p<0.01). While significant muscle force modifications were evidenced within individuals, there were no consistent muscle force modifications across all subjects. It may be that self-selected muscle pattern changes are not uniform for gait modification particularly for individuals with knee pain. Future studies focused on altering knee loads should not assume consistent muscle force modifications for a given kinematic gait change across subjects and should consider muscle forces in addition to kinematics in gait retraining paradigms.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biofeedback; Foot progression angle; Haptic; Toe-in

Mesh:

Year:  2015        PMID: 26209875     DOI: 10.1016/j.jbiomech.2015.07.006

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  5 in total

1.  Subject-specific toe-in or toe-out gait modifications reduce the larger knee adduction moment peak more than a non-personalized approach.

Authors:  Scott D Uhlrich; Amy Silder; Gary S Beaupre; Peter B Shull; Scott L Delp
Journal:  J Biomech       Date:  2017-11-08       Impact factor: 2.712

2.  A neural network to predict the knee adduction moment in patients with osteoarthritis using anatomical landmarks obtainable from 2D video analysis.

Authors:  M A Boswell; S D Uhlrich; Ł Kidziński; K Thomas; J A Kolesar; G E Gold; G S Beaupre; S L Delp
Journal:  Osteoarthritis Cartilage       Date:  2021-01-07       Impact factor: 6.576

3.  Relationship between Kellgren-Lawrence score and 3D kinematic gait analysis of patients with medial knee osteoarthritis using a new gait system.

Authors:  Xiaolong Zeng; Limin Ma; Zefeng Lin; Wenhan Huang; Zhiqiang Huang; Yu Zhang; Chuanbin Mao
Journal:  Sci Rep       Date:  2017-06-22       Impact factor: 4.379

4.  Effects of neuromuscular gait modification strategies on indicators of knee joint load in people with medial knee osteoarthritis: A systematic review and meta-analysis.

Authors:  M Denika C Silva; Diana M Perriman; Angela M Fearon; Daniel Tait; Trevor J Spencer; Dianne Walton-Sonda; Milena Simic; Rana S Hinman; Kim L Bennell; Jennie M Scarvell
Journal:  PLoS One       Date:  2022-09-21       Impact factor: 3.752

5.  Knee osteoarthritis alters peri-articular knee muscle strategies during gait.

Authors:  Aseel Ghazwan; Chris Wilson; Cathy A Holt; Gemma M Whatling
Journal:  PLoS One       Date:  2022-01-20       Impact factor: 3.240

  5 in total

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