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Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers

Falls remain a challenge for ageing societies. Strong evidence indicates that a previous fall is the strongest single screening indicator for a subsequent fall and the need for assessing fall risk without accounting for fall history is therefore imperative. Testing in three functional domains (using...

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Detalles Bibliográficos
Autores principales: König, N., Taylor, W. R., Armbrecht, G., Dietzel, R., Singh, N. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208368/
https://www.ncbi.nlm.nih.gov/pubmed/24898021
http://dx.doi.org/10.1098/rsif.2014.0353
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author König, N.
Taylor, W. R.
Armbrecht, G.
Dietzel, R.
Singh, N. B.
author_facet König, N.
Taylor, W. R.
Armbrecht, G.
Dietzel, R.
Singh, N. B.
author_sort König, N.
collection PubMed
description Falls remain a challenge for ageing societies. Strong evidence indicates that a previous fall is the strongest single screening indicator for a subsequent fall and the need for assessing fall risk without accounting for fall history is therefore imperative. Testing in three functional domains (using a total 92 measures) were completed in 84 older women (60–85 years of age), including muscular control, standing balance, and mean and variability of gait. Participants were retrospectively classified as fallers (n = 38) or non-fallers (n = 42) and additionally in a prospective manner to identify first-time fallers (FTFs) (n = 6) within a 12-month follow-up period. Principal component analysis revealed that seven components derived from the 92 functional measures are sufficient to depict the spectrum of functional performance. Inclusion of only three components, related to mean and temporal variability of walking, allowed classification of fallers and non-fallers with a sensitivity and specificity of 74% and 76%, respectively. Furthermore, the results indicate that FTFs show a tendency towards the performance of fallers, even before their first fall occurs. This study suggests that temporal variability and mean spatial parameters of gait are the only functional components among the 92 measures tested that differentiate fallers from non-fallers, and could therefore show efficacy in clinical screening programmes for assessing risk of first-time falling.
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spelling pubmed-42083682014-10-24 Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers König, N. Taylor, W. R. Armbrecht, G. Dietzel, R. Singh, N. B. J R Soc Interface Research Articles Falls remain a challenge for ageing societies. Strong evidence indicates that a previous fall is the strongest single screening indicator for a subsequent fall and the need for assessing fall risk without accounting for fall history is therefore imperative. Testing in three functional domains (using a total 92 measures) were completed in 84 older women (60–85 years of age), including muscular control, standing balance, and mean and variability of gait. Participants were retrospectively classified as fallers (n = 38) or non-fallers (n = 42) and additionally in a prospective manner to identify first-time fallers (FTFs) (n = 6) within a 12-month follow-up period. Principal component analysis revealed that seven components derived from the 92 functional measures are sufficient to depict the spectrum of functional performance. Inclusion of only three components, related to mean and temporal variability of walking, allowed classification of fallers and non-fallers with a sensitivity and specificity of 74% and 76%, respectively. Furthermore, the results indicate that FTFs show a tendency towards the performance of fallers, even before their first fall occurs. This study suggests that temporal variability and mean spatial parameters of gait are the only functional components among the 92 measures tested that differentiate fallers from non-fallers, and could therefore show efficacy in clinical screening programmes for assessing risk of first-time falling. The Royal Society 2014-08-06 /pmc/articles/PMC4208368/ /pubmed/24898021 http://dx.doi.org/10.1098/rsif.2014.0353 Text en http://creativecommons.org/licenses/by/3.0/ © 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Research Articles
König, N.
Taylor, W. R.
Armbrecht, G.
Dietzel, R.
Singh, N. B.
Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers
title Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers
title_full Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers
title_fullStr Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers
title_full_unstemmed Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers
title_short Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers
title_sort identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208368/
https://www.ncbi.nlm.nih.gov/pubmed/24898021
http://dx.doi.org/10.1098/rsif.2014.0353
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