Kinematics predictors of spatiotemporal parameters during gait differ by age in healthy individuals.


Journal

Gait & posture
ISSN: 1879-2219
Titre abrégé: Gait Posture
Pays: England
ID NLM: 9416830

Informations de publication

Date de publication:
07 2022
Historique:
received: 30 01 2022
revised: 29 03 2022
accepted: 26 05 2022
pubmed: 15 6 2022
medline: 3 8 2022
entrez: 14 6 2022
Statut: ppublish

Résumé

Joint biomechanics and spatiotemporal gait parameters change with age or disease and are used in treatment decision-making. To investigate whether kinematic predictors of spatiotemporal parameters during gait differ by age in healthy individuals. We used an open dataset with the gait data of 114 young adults (M = 28.0 years, SD = 7.5) and 128 older adults (M = 67.5 years, SD = 3.8) walking at a comfortable self-selected speed. Linear regression models were developed to predict spatiotemporal parameters separately for each group using joint kinematics as independent variables. In young adults, knee flexion loading response and hip flexion/extension were the common predictors of gait speed; hip flexion and hip extension contributed to explaining the stride length; hip flexion contributed to explaining the cadence and stride time. In older adults, ankle plantarflexion, knee flexion loading response, and pelvic rotation were the common predictors of the gait speed; ankle plantarflexion and knee flexion loading response contributed to explaining the stride length; ankle plantarflexion loading response and ankle plantarflexion contributed to explain the cadence, stride width and stride time. Our results suggest that the ability of joint kinematic variables to estimate spatiotemporal parameters during gait differs by age in healthy individuals. Particularly in older adults, ankle plantarflexion was the common predictor of the spatiotemporal parameters, suggesting the importance of the ankle for gait parameters in this age group. This provides insight for clinicians into the most effective evaluation and has been used by physical professionals in prescribing the most appropriate exercises to attenuate the effects produced by age-related neuromuscular changes.

Identifiants

pubmed: 35700639
pii: S0966-6362(22)00166-7
doi: 10.1016/j.gaitpost.2022.05.034
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

216-220

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Débora da Silva Fragoso de Campos (DDSF)

Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil.

Solaiman Shokur (S)

École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.

Andrea Cristina de Lima-Pardini (AC)

Laboratory of Integrative Motor Behaviour, Centre for Neuroscience Studies, Queen's University, Ontario, Canada.

Miao Runfeng (M)

École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Mohamed Bouri (M)

École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Daniel Boari Coelho (DB)

Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil; Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, São Paulo, Brazil. Electronic address: daniel.boari@ufabc.edu.br.

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Classifications MeSH