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Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study

Falls are common in the elderly, and potentially result in injury and disability. Thus, preventing falls as soon as possible in older adults is a public health priority, yet there is no specific marker that is predictive of the first fall onset. We hypothesized that gait features should be the most...

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Autores principales: Mignardot, Jean-Baptiste, Deschamps, Thibault, Barrey, Eric, Auvinet, Bernard, Berrut, Gilles, Cornu, Christophe, Constans, Thierry, de Decker, Laure
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933787/
https://www.ncbi.nlm.nih.gov/pubmed/24611048
http://dx.doi.org/10.3389/fnagi.2014.00022
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author Mignardot, Jean-Baptiste
Deschamps, Thibault
Barrey, Eric
Auvinet, Bernard
Berrut, Gilles
Cornu, Christophe
Constans, Thierry
de Decker, Laure
author_facet Mignardot, Jean-Baptiste
Deschamps, Thibault
Barrey, Eric
Auvinet, Bernard
Berrut, Gilles
Cornu, Christophe
Constans, Thierry
de Decker, Laure
author_sort Mignardot, Jean-Baptiste
collection PubMed
description Falls are common in the elderly, and potentially result in injury and disability. Thus, preventing falls as soon as possible in older adults is a public health priority, yet there is no specific marker that is predictive of the first fall onset. We hypothesized that gait features should be the most relevant variables for predicting the first fall. Clinical baseline characteristics (e.g., gender, cognitive function) were assessed in 259 home-dwelling people aged 66 to 75 that had never fallen. Likewise, global kinetic behavior of gait was recorded from 22 variables in 1036 walking tests with an accelerometric gait analysis system. Afterward, monthly telephone monitoring reported the date of the first fall over 24 months. A principal components analysis was used to assess the relationship between gait variables and fall status in four groups: non-fallers, fallers from 0 to 6 months, fallers from 6 to 12 months and fallers from 12 to 24 months. The association of significant principal components (PC) with an increased risk of first fall was then evaluated using the area under the Receiver Operator Characteristic Curve (ROC). No effect of clinical confounding variables was shown as a function of groups. An eigenvalue decomposition of the correlation matrix identified a large statistical PC1 (termed “Global kinetics of gait pattern”), which accounted for 36.7% of total variance. Principal component loadings also revealed a PC2 (12.6% of total variance), related to the “Global gait regularity.” Subsequent ANOVAs showed that only PC1 discriminated the fall status during the first 6 months, while PC2 discriminated the first fall onset between 6 and 12 months. After one year, any PC was associated with falls. These results were bolstered by the ROC analyses, showing good predictive models of the first fall during the first six months or from 6 to 12 months. Overall, these findings suggest that the performance of a standardized walking test at least once a year is essential for fall prevention.
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spelling pubmed-39337872014-03-07 Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study Mignardot, Jean-Baptiste Deschamps, Thibault Barrey, Eric Auvinet, Bernard Berrut, Gilles Cornu, Christophe Constans, Thierry de Decker, Laure Front Aging Neurosci Neuroscience Falls are common in the elderly, and potentially result in injury and disability. Thus, preventing falls as soon as possible in older adults is a public health priority, yet there is no specific marker that is predictive of the first fall onset. We hypothesized that gait features should be the most relevant variables for predicting the first fall. Clinical baseline characteristics (e.g., gender, cognitive function) were assessed in 259 home-dwelling people aged 66 to 75 that had never fallen. Likewise, global kinetic behavior of gait was recorded from 22 variables in 1036 walking tests with an accelerometric gait analysis system. Afterward, monthly telephone monitoring reported the date of the first fall over 24 months. A principal components analysis was used to assess the relationship between gait variables and fall status in four groups: non-fallers, fallers from 0 to 6 months, fallers from 6 to 12 months and fallers from 12 to 24 months. The association of significant principal components (PC) with an increased risk of first fall was then evaluated using the area under the Receiver Operator Characteristic Curve (ROC). No effect of clinical confounding variables was shown as a function of groups. An eigenvalue decomposition of the correlation matrix identified a large statistical PC1 (termed “Global kinetics of gait pattern”), which accounted for 36.7% of total variance. Principal component loadings also revealed a PC2 (12.6% of total variance), related to the “Global gait regularity.” Subsequent ANOVAs showed that only PC1 discriminated the fall status during the first 6 months, while PC2 discriminated the first fall onset between 6 and 12 months. After one year, any PC was associated with falls. These results were bolstered by the ROC analyses, showing good predictive models of the first fall during the first six months or from 6 to 12 months. Overall, these findings suggest that the performance of a standardized walking test at least once a year is essential for fall prevention. Frontiers Media S.A. 2014-02-25 /pmc/articles/PMC3933787/ /pubmed/24611048 http://dx.doi.org/10.3389/fnagi.2014.00022 Text en Copyright © 2014 Mignardot, Deschamps, Barrey, Auvinet, Berrut, Cornu, Constans and de Decker. http://creativecommons.org/licenses/by/3.0/ 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) or licensor 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 Neuroscience
Mignardot, Jean-Baptiste
Deschamps, Thibault
Barrey, Eric
Auvinet, Bernard
Berrut, Gilles
Cornu, Christophe
Constans, Thierry
de Decker, Laure
Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study
title Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study
title_full Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study
title_fullStr Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study
title_full_unstemmed Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study
title_short Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study
title_sort gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933787/
https://www.ncbi.nlm.nih.gov/pubmed/24611048
http://dx.doi.org/10.3389/fnagi.2014.00022
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