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Identification of gait domains and key gait variables following hip fracture

BACKGROUND: Restoration of gait is an important goal of rehabilitation after hip fracture. Numerous spatial and temporal gait variables have been reported in the literature, but beyond gait speed, there is little agreement on which gait variables should be reported and which are redundant in describ...

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Autores principales: Thingstad, Pernille, Egerton, Thorlene, Ihlen, Espen F., Taraldsen, Kristin, Moe-Nilssen, Rolf, Helbostad, Jorunn L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652377/
https://www.ncbi.nlm.nih.gov/pubmed/26581616
http://dx.doi.org/10.1186/s12877-015-0147-4
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author Thingstad, Pernille
Egerton, Thorlene
Ihlen, Espen F.
Taraldsen, Kristin
Moe-Nilssen, Rolf
Helbostad, Jorunn L.
author_facet Thingstad, Pernille
Egerton, Thorlene
Ihlen, Espen F.
Taraldsen, Kristin
Moe-Nilssen, Rolf
Helbostad, Jorunn L.
author_sort Thingstad, Pernille
collection PubMed
description BACKGROUND: Restoration of gait is an important goal of rehabilitation after hip fracture. Numerous spatial and temporal gait variables have been reported in the literature, but beyond gait speed, there is little agreement on which gait variables should be reported and which are redundant in describing gait recovery following hip fracture. The aims of this study were to identify distinct domains of gait and key variables representing these domains, and to explore how known predictors of poor outcome after hip fracture were associated with these key variables. METHODS: Spatial and temporal gait variables were collected four months following hip fracture in 249 participants using an electronic walkway (GAITRite®). From the initial set of 31 gait variables, 16 were selected following a systematic procedure. An explorative factor analysis with oblique (oblimin) rotation was performed, using principal component analysis for extraction of factors. Unique domains of gait and the variable best representing these domains were identified. Multiple regression analyses including six predictors; age, gender, fracture type, pain, global cognitive function and grip strength were performed for each of the identified key gait variables. RESULTS: Mean age of participants was 82.6 (SD = 6.0) years, 75 % were women, and mean gait speed was 0.6 (SD = 0.2) m/sec. The factor analysis revealed four distinct gait domains, and the key variables that best represented these domains were double support time, walk ratio, variability of step velocity, and single support asymmetry. Cognitive decline, low grip strength, extra capsular fracture and male gender, but not pain or age, were significant predictors of impaired gait. CONCLUSIONS: This work proposes four key variables to represent gait of older people after hip fracture. These core variables were associated with known predictors of poor outcome after hip fracture and should warrant further assessment to confirm their importance as outcome variables in addition to gait speed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-015-0147-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-46523772015-11-20 Identification of gait domains and key gait variables following hip fracture Thingstad, Pernille Egerton, Thorlene Ihlen, Espen F. Taraldsen, Kristin Moe-Nilssen, Rolf Helbostad, Jorunn L. BMC Geriatr Research Article BACKGROUND: Restoration of gait is an important goal of rehabilitation after hip fracture. Numerous spatial and temporal gait variables have been reported in the literature, but beyond gait speed, there is little agreement on which gait variables should be reported and which are redundant in describing gait recovery following hip fracture. The aims of this study were to identify distinct domains of gait and key variables representing these domains, and to explore how known predictors of poor outcome after hip fracture were associated with these key variables. METHODS: Spatial and temporal gait variables were collected four months following hip fracture in 249 participants using an electronic walkway (GAITRite®). From the initial set of 31 gait variables, 16 were selected following a systematic procedure. An explorative factor analysis with oblique (oblimin) rotation was performed, using principal component analysis for extraction of factors. Unique domains of gait and the variable best representing these domains were identified. Multiple regression analyses including six predictors; age, gender, fracture type, pain, global cognitive function and grip strength were performed for each of the identified key gait variables. RESULTS: Mean age of participants was 82.6 (SD = 6.0) years, 75 % were women, and mean gait speed was 0.6 (SD = 0.2) m/sec. The factor analysis revealed four distinct gait domains, and the key variables that best represented these domains were double support time, walk ratio, variability of step velocity, and single support asymmetry. Cognitive decline, low grip strength, extra capsular fracture and male gender, but not pain or age, were significant predictors of impaired gait. CONCLUSIONS: This work proposes four key variables to represent gait of older people after hip fracture. These core variables were associated with known predictors of poor outcome after hip fracture and should warrant further assessment to confirm their importance as outcome variables in addition to gait speed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-015-0147-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-18 /pmc/articles/PMC4652377/ /pubmed/26581616 http://dx.doi.org/10.1186/s12877-015-0147-4 Text en © Thingstad et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Thingstad, Pernille
Egerton, Thorlene
Ihlen, Espen F.
Taraldsen, Kristin
Moe-Nilssen, Rolf
Helbostad, Jorunn L.
Identification of gait domains and key gait variables following hip fracture
title Identification of gait domains and key gait variables following hip fracture
title_full Identification of gait domains and key gait variables following hip fracture
title_fullStr Identification of gait domains and key gait variables following hip fracture
title_full_unstemmed Identification of gait domains and key gait variables following hip fracture
title_short Identification of gait domains and key gait variables following hip fracture
title_sort identification of gait domains and key gait variables following hip fracture
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652377/
https://www.ncbi.nlm.nih.gov/pubmed/26581616
http://dx.doi.org/10.1186/s12877-015-0147-4
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