Association Between Knee Joint Muscle Activation and Knee Joint Moment Patterns During Walking in Moderate Medial Compartment Knee Osteoarthritis: Implications for Secondary Prevention

被引:10
|
作者
Hatfield, Gillian L. [1 ]
Costello, Kerry E. [2 ,3 ]
Wilson, Janie L. Astephen [4 ,5 ,6 ]
Stanish, William D. [4 ,5 ]
Hubley-Kozey, Cheryl L. [4 ,7 ,8 ]
机构
[1] Univ Fraser Valley, Sch Kinesiol, Chilliwack, BC, Canada
[2] Boston Univ, Dept Phys Therapy & Athlet Training, Boston, MA 02215 USA
[3] Boston Univ, Sch Med, Sect Rheumatol, Boston, MA 02215 USA
[4] Dalhousie Univ, Sch Biomed Engn, Halifax, NS, Canada
[5] Dalhousie Univ, Dept Surg, Div Orthopaed, Halifax, NS, Canada
[6] McMaster Univ, Dept Surg, Hamilton, ON, Canada
[7] Dalhousie Univ, Sch Physiotherapy, 5981 Univ Ave, Halifax, NS B3H 1W2, Canada
[8] Affiliated Scientist Nova Scotia Hlth Author, Dept Surg, Halifax, NS, Canada
来源
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION | 2021年 / 102卷 / 10期
基金
加拿大健康研究院;
关键词
Electromyography; Exercise; Gait analysis; Kinetics; Knee; Oste-oarthritis; Rehabilitation; GAIT WAVE-FORMS; ADDUCTION MOMENT; PRINCIPAL-COMPONENTS; BASE-LINE; INDIVIDUALS; RELIABILITY; PROGRESSION; HIP; BIOMECHANICS; MECHANICS;
D O I
10.1016/j.apmr.2021.03.038
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Objective: To determine associations between knee moment features linked to osteoarthritis (OA) progression, gait muscle activation patterns, and strength. Design: Cross-sectional secondary analysis. Setting: Gait laboratory. Participants: Convenience sample of 54 patients with moderate, medial knee OA (N=54). Interventions: None. Main Outcome Measures: Knee moments and quadriceps and hamstrings activation were examined during walking. Knee extensor and flexor strength were measured. Waveform patterns were extracted using principal component analysis. Each measured waveform was scored against principal components (PCs) that captured overall magnitude (PC1) and early to midstance difference (PC2) features, with higher PC2 scores interpreted as greater moment differential and more prolonged muscle activity. Correlations were calculated between moment PC scores and muscle PC and strength scores. Regression analyses determined moment PC score variance explained by muscle PC scores and strength. Results: All correlations for knee adduction moment difference feature (KAMPC2) and prolonged muscle activity (PC2) were significant (r=-0.40 to -0.54). Knee flexion moment difference feature (KFMPC2) was significantly correlated with all quadriceps and medial hamstrings PC2 scores (r=-0.47 to -0.61) and medial hamstrings magnitude feature (PC1) (r=-0.52). KAMPC2 was significantly correlated with knee flexor strength (r=0.43), and KFMPC2 was significantly correlated with knee extensor (r=0.60) and flexor (r=0.55) strength. Regression models including muscle PC2 scores and knee flexor strength explained 46% of KAMPC2 variance, whereas muscle PC2 scores and knee extensor strength explained 59% of KFMPC2 variance. Conclusions: Muscle activation patterns and strength explained significant variance in moment difference features, highest for the knee flexion moment. This supports that exercises such as neuromuscular training, focused on appropriate muscle activation patterns, and strengthening have the potential to alter dynamic loading gait patterns associated with knee OA clinical progression. Archives of Physical Medicine and Rehabilitation 2021;102:1910-7 (c) 2021 The American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1910 / 1917
页数:8
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