Literature DB >> 34673446

Metabolic cost and co-contraction during walking at different speeds in young and old adults.

Elodie Piche1, Frédéric Chorin2, Raphaël Zory3, Patricia Duarte Freitas4, Olivier Guerin5, Pauline Gerus6.   

Abstract

BACKGROUND: The net metabolic cost of walking (NCw) and the co-activation of leg muscles are both higher in old adults (OG) than in young adults (YG). Nevertheless, the relation between the two remains unresolved, mainly due to the controversial co-activation measurement method used in previous studies. RESEARCH QUESTION: To compare ankle and knee co-contraction (CCI), calculated using an EMG-driven method, between the groups and to examine their relationship with NCw.
METHODS: Nine young (YG = 25.2 +/- 3.3 years old) and nine older (OG = 68.7 +/5.9 years old) adults walked on a treadmill at five speeds (YG: 1; 1.2; 1.4; 1.6; 1.8 m/s; OG: 0.6; 0.8; 1; 1.2; 1.4 m/s) while electromyography (sEMG) and oxygen consumption were measured. CCI were calculated around the ankle and knee for different parts of the gait cycle (entire gait cycle 0-100 %, stance phase 0-60 %, swing phase 60-100 %).
RESULTS: NCw was significantly higher (25 %, averaged over the walking speeds) in OG as were Knee_CCI, Knee_CCI_swing and Knee_CCI_stance. Multiple regression models in YG, OG and YG + OG highlighted Ankle_CCI as the main contributor in NCw (β = 0.08-0.188, p < 0.05) with a positive relation between the two variables. SIGNIFICANCE: The present findings provide a better understanding of the association between muscle co-contraction and metabolic cost in older adults. It may help scientists and clinicians to further develop strategies aimed at neuromuscular rehabilitation as a means of improving mobility and independence among older adults.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ageing; Co-contraction; EMG-driven model; Energy cost; Gait biomechanics

Mesh:

Year:  2021        PMID: 34673446     DOI: 10.1016/j.gaitpost.2021.10.014

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  1 in total

1.  Muscle Co-Contraction Detection in the Time-Frequency Domain.

Authors:  Francesco Di Nardo; Martina Morano; Annachiara Strazza; Sandro Fioretti
Journal:  Sensors (Basel)       Date:  2022-06-28       Impact factor: 3.847

  1 in total

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