Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91980
PIRA download icon_1.1View/Download Full Text
Title: Sensor-based gait retraining lowers knee adduction moment and improves symptoms in patients with knee osteoarthritis : a randomized controlled trial
Authors: Wang, S 
Chan, PPK 
Lam, BMF 
Chan, ZYS 
Zhang, JHW 
Wang, C 
Lam, WK
Ho, KKW
Chan, RHM
Cheung, RTH 
Issue Date: Aug-2021
Source: Sensors, Aug. 2021, v. 21, no. 16, 5596
Abstract: The present study compared the effect between walking exercise and a newly developed sensor-based gait retraining on the peaks of knee adduction moment (KAM), knee adduction angular impulse (KAAI), knee flexion moment (KFM) and symptoms and functions in patients with early medial knee osteoarthritis (OA). Eligible participants (n = 71) with early medial knee OA (Kellgren-Lawrence grade I or II) were randomized to either walking exercise or gait retraining group. Knee loading-related parameters including KAM, KAAI and KFM were measured before and after 6-week gait retraining. We also examined clinical outcomes including visual analog pain scale (VASP) and Knee Injury and Osteoarthritis Outcome Score (KOOS) at each time point. After gait retraining, KAM1 and VASP were significantly reduced (both Ps < 0.001) and KOOS significantly improved (p = 0.004) in the gait retraining group, while these parameters remained similar in the walking exercise group (Ps ≥ 0.448). However, KAM2, KAAI and KFM did not change in both groups across time (Ps ≥ 0.120). A six-week sensor-based gait retraining, compared with walking exercise, was an effective intervention to lower medial knee loading, relieve knee pain and improve symptoms for patients with early medial knee OA.
Keywords: Gait retraining
Knee osteoarthritis
Machine learning
Medial knee loading
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Sensors 
EISSN: 1424-8220
DOI: 10.3390/s21165596
Rights: © 2021 by the authors.Licensee MDPI, Basel, Switzerland.This article is an open access articledistributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Wang, S., Chan, P. P., Lam, B. M., Chan, Z., Zhang, J. H., Wang, C., ... & Cheung, R. T. (2021). Sensor-based gait retraining lowers knee adduction moment and improves symptoms in patients with knee osteoarthritis: A randomized controlled trial. Sensors, 21(16), 5596 is available at https://doi.org/10.3390/s21165596
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
sensors-21-05596.pdf2.11 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

59
Last Week
1
Last month
Citations as of Apr 14, 2024

Downloads

34
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

9
Citations as of Apr 12, 2024

WEB OF SCIENCETM
Citations

9
Citations as of Apr 18, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.