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A Lifespan Approach to Balance in Static and Dynamic Conditions: The Effect of Age on Balance Abilities

Postural control is a complex sensorimotor skill that is fundamental to our daily life. The abilities to maintain and recover balance degrade with age. However, the time decay of balance performance with age is not well understood. In this study, we aim at quantifying the age-dependent changes in st...

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Autores principales: Marchesi, Giorgia, De Luca, Alice, Squeri, Valentina, De Michieli, Lorenzo, Vallone, Francesco, Pilotto, Alberto, Leo, Alessandra, Casadio, Maura, Canessa, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899125/
https://www.ncbi.nlm.nih.gov/pubmed/35265025
http://dx.doi.org/10.3389/fneur.2022.801142
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author Marchesi, Giorgia
De Luca, Alice
Squeri, Valentina
De Michieli, Lorenzo
Vallone, Francesco
Pilotto, Alberto
Leo, Alessandra
Casadio, Maura
Canessa, Andrea
author_facet Marchesi, Giorgia
De Luca, Alice
Squeri, Valentina
De Michieli, Lorenzo
Vallone, Francesco
Pilotto, Alberto
Leo, Alessandra
Casadio, Maura
Canessa, Andrea
author_sort Marchesi, Giorgia
collection PubMed
description Postural control is a complex sensorimotor skill that is fundamental to our daily life. The abilities to maintain and recover balance degrade with age. However, the time decay of balance performance with age is not well understood. In this study, we aim at quantifying the age-dependent changes in standing balance under static and dynamic conditions. We tested 272 healthy subjects with ages ranging from 20 to 90. Subjects maintained the upright posture while standing on the robotic platform hunova®. In the evaluation of static balance, subjects stood on the fixed platform both with eyes open (EO) and eyes closed (EC). In the dynamic condition, subjects stood with eyes open on the moving foot platform that provided three different perturbations: (i) an inclination proportional to the center of pressure displacements, (ii) a pre-defined predictable motion, and (iii) an unpredictable and unexpected tilt. During all these tests, hunova® measured the inclination of the platform and the displacement of the center of pressure, while the trunk movements were recorded with an accelerometer placed on the sternum. To quantify balance performance, we computed spatio-temporal parameters typically used in clinical environments from the acceleration measures: mean velocity, variability of trunk motion, and trunk sway area. All subjects successfully completed all the proposed exercises. Their motor performance in the dynamic balance tasks quadratically changed with age. Also, we found that the reliance on visual feedback is not age-dependent in static conditions. All subjects well-tolerated the proposed protocol independently of their age without experiencing fatigue as we chose the timing of the evaluations based on clinical needs and routines. Thus, this study is a starting point for the definition of robot-based assessment protocols aiming at detecting the onset of age-related standing balance deficits and allowing the planning of tailored rehabilitation protocols to prevent falls in older adults.
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spelling pubmed-88991252022-03-08 A Lifespan Approach to Balance in Static and Dynamic Conditions: The Effect of Age on Balance Abilities Marchesi, Giorgia De Luca, Alice Squeri, Valentina De Michieli, Lorenzo Vallone, Francesco Pilotto, Alberto Leo, Alessandra Casadio, Maura Canessa, Andrea Front Neurol Neurology Postural control is a complex sensorimotor skill that is fundamental to our daily life. The abilities to maintain and recover balance degrade with age. However, the time decay of balance performance with age is not well understood. In this study, we aim at quantifying the age-dependent changes in standing balance under static and dynamic conditions. We tested 272 healthy subjects with ages ranging from 20 to 90. Subjects maintained the upright posture while standing on the robotic platform hunova®. In the evaluation of static balance, subjects stood on the fixed platform both with eyes open (EO) and eyes closed (EC). In the dynamic condition, subjects stood with eyes open on the moving foot platform that provided three different perturbations: (i) an inclination proportional to the center of pressure displacements, (ii) a pre-defined predictable motion, and (iii) an unpredictable and unexpected tilt. During all these tests, hunova® measured the inclination of the platform and the displacement of the center of pressure, while the trunk movements were recorded with an accelerometer placed on the sternum. To quantify balance performance, we computed spatio-temporal parameters typically used in clinical environments from the acceleration measures: mean velocity, variability of trunk motion, and trunk sway area. All subjects successfully completed all the proposed exercises. Their motor performance in the dynamic balance tasks quadratically changed with age. Also, we found that the reliance on visual feedback is not age-dependent in static conditions. All subjects well-tolerated the proposed protocol independently of their age without experiencing fatigue as we chose the timing of the evaluations based on clinical needs and routines. Thus, this study is a starting point for the definition of robot-based assessment protocols aiming at detecting the onset of age-related standing balance deficits and allowing the planning of tailored rehabilitation protocols to prevent falls in older adults. Frontiers Media S.A. 2022-02-21 /pmc/articles/PMC8899125/ /pubmed/35265025 http://dx.doi.org/10.3389/fneur.2022.801142 Text en Copyright © 2022 Marchesi, De Luca, Squeri, De Michieli, Vallone, Pilotto, Leo, Casadio and Canessa. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Neurology
Marchesi, Giorgia
De Luca, Alice
Squeri, Valentina
De Michieli, Lorenzo
Vallone, Francesco
Pilotto, Alberto
Leo, Alessandra
Casadio, Maura
Canessa, Andrea
A Lifespan Approach to Balance in Static and Dynamic Conditions: The Effect of Age on Balance Abilities
title A Lifespan Approach to Balance in Static and Dynamic Conditions: The Effect of Age on Balance Abilities
title_full A Lifespan Approach to Balance in Static and Dynamic Conditions: The Effect of Age on Balance Abilities
title_fullStr A Lifespan Approach to Balance in Static and Dynamic Conditions: The Effect of Age on Balance Abilities
title_full_unstemmed A Lifespan Approach to Balance in Static and Dynamic Conditions: The Effect of Age on Balance Abilities
title_short A Lifespan Approach to Balance in Static and Dynamic Conditions: The Effect of Age on Balance Abilities
title_sort lifespan approach to balance in static and dynamic conditions: the effect of age on balance abilities
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899125/
https://www.ncbi.nlm.nih.gov/pubmed/35265025
http://dx.doi.org/10.3389/fneur.2022.801142
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