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      Standard isometric contraction has higher reliability than maximum voluntary isometric contraction for normalizing electromyography during level walking among older adults with knee osteoarthritis

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          Abstract

          Introduction: Electromyography (EMG) normalization often relies on maximum voluntary isometric contraction (MVIC), which may not be suitable for knee osteoarthritis (KOA) patients due to difficulties in generating maximum joint torques caused by pain. This study aims to assess the reliability of standard isometric contraction (SIC) for EMG normalization in older adults with KOA, comparing it with MVIC.

          Methods: We recruited thirty-five older adults with KOA and collected root mean square EMG amplitudes from seven muscles in the affected limb during level walking, SIC, and MVIC tests. EMG data during level walking were normalized using both SIC and MVIC methods. This process was repeated after at least 1 week. We calculated intra-class correlation coefficients (ICCs) with 95% confidence intervals to evaluate between- and within-day reliabilities.

          Results: SIC tests showed higher between- (ICC: 0.75–0.86) and within-day (ICC: 0.84–0.95) ICCs across all seven muscles compared to MVIC tests. When normalized with SIC, all seven muscles exhibited higher between- (ICC: 0.67–0.85) and within-day (ICC: 0.88–0.99) ICCs compared to MVIC normalization.

          Conclusion: This study suggests that SIC may offer superior movement consistency and reliability compared to MVIC for EMG normalization during level walking in older adults with KOA.

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          Most cited references52

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            Radiological assessment of osteo-arthrosis.

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              Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee.

              Within the context of a double blind randomized controlled parallel trial of 2 nonsteroidal antiinflammatory drugs, we validated WOMAC, a new multidimensional, self-administered health status instrument for patients with osteoarthritis of the hip or knee. The pain, stiffness and physical function subscales fulfil conventional criteria for face, content and construct validity, reliability, responsiveness and relative efficiency. WOMAC is a disease-specific purpose built high performance instrument for evaluative research in osteoarthritis clinical trials.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2647646/overviewRole: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2093442/overviewRole: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/115857/overviewRole: Role: Role:
                URI : https://loop.frontiersin.org/people/2094333/overviewRole: Role: Role:
                URI : https://loop.frontiersin.org/people/2214606/overviewRole: Role: Role:
                URI : https://loop.frontiersin.org/people/1078454/overviewRole: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2363769/overviewRole: Role: Role: Role: Role:
                Journal
                Front Bioeng Biotechnol
                Front Bioeng Biotechnol
                Front. Bioeng. Biotechnol.
                Frontiers in Bioengineering and Biotechnology
                Frontiers Media S.A.
                2296-4185
                16 February 2024
                2024
                : 12
                : 1276793
                Affiliations
                [1] 1 College of Sports and Health , Shandong Sport University , Jinan, China
                [2] 2 Department of Health Sciences and Kinesiology , Georgia Southern University , Statesboro, GA, United States
                Author notes

                Edited by: Qichang Mei, Ningbo University, China

                Reviewed by: Wenxin Niu, Tongji University, China

                Manuela Besomi, The University of Queensland, Australia

                Eneida Yuri Suda, Universidade Ibirapuera, Brazil

                *Correspondence: Qipeng Song, songqipeng@ 123456sdpei.edu.cn ; Peixin Shen, 18323022054@ 123456163.com
                Article
                1276793
                10.3389/fbioe.2024.1276793
                10904509
                38433819
                1529d395-530b-4dff-913a-0667a3cab75d
                Copyright © 2024 Zhu, Pang, Li, Sun, Ding, Song and Shen.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 August 2023
                : 26 January 2024
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project was funded by General Administration of Sport of China (23QN009), National Natural Science Foundation of China (No.12102235), and Natural Science Foundation of Shandong Province (ZR2022MH163).
                Categories
                Bioengineering and Biotechnology
                Original Research
                Custom metadata
                Biomechanics

                emg normalization,knee osteoarthritis,reliability,mvic,gait
                emg normalization, knee osteoarthritis, reliability, mvic, gait

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