The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.clinbiomech.2019.04.011 http://hdl.handle.net/11449/189008 |
Resumo: | Background: Cognitive impairments reduce adaptive responses and may increase the risk of falls. Objectives: To compare gait kinematics in older adults with cognitive impairments living in long term institutions and to identify the ability of gait kinematics to predict falls in older adults with cognitive impairments living in long term institutions. Methods: Data of 23 older adults with cognitive impairments living in long term institutions were considered for this study. Fifty gait cycles were recorded during walking at a self-selected pace using footswitches sensors. The variables considered for the analysis were: speed; stride length; stance, swing and stride time; and the variability of these parameters. Fall status was recorded for a 6 month-period. Findings: MANOVA found group effect (p = 0.025) for gait kinematics comparisons. Variability of stance (p = 0.01) and swing (p = 0.012) and stride time (p < 0.001) were higher in older fallers. Speed of older fallers was 31.8% slower than those of the non-fallers (p < 0.001). The kinematic variables that were able to predict falls were: stride time variability (p < 0.001), threshold of 0.4 s, sensitivity of 50% and specificity of 100%; and gait speed (p < 0.001), threshold of 0.65 m·s −1 , sensibility and specificity of 50%. Interpretation: Older adults living in an assisted living facility with a history of falls demonstrate increased kinematic variability while walking. However, the ability of gait kinematic parameters to predict falls was found to be weak. The results suggested that gait kinematic parameters are weak predictors of falls in older adults with cognitive impairments living in long term institutions. |
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Repositório Institucional da UNESP |
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The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutionsAgingBiomechanicsFalls preventionPhysical therapyBackground: Cognitive impairments reduce adaptive responses and may increase the risk of falls. Objectives: To compare gait kinematics in older adults with cognitive impairments living in long term institutions and to identify the ability of gait kinematics to predict falls in older adults with cognitive impairments living in long term institutions. Methods: Data of 23 older adults with cognitive impairments living in long term institutions were considered for this study. Fifty gait cycles were recorded during walking at a self-selected pace using footswitches sensors. The variables considered for the analysis were: speed; stride length; stance, swing and stride time; and the variability of these parameters. Fall status was recorded for a 6 month-period. Findings: MANOVA found group effect (p = 0.025) for gait kinematics comparisons. Variability of stance (p = 0.01) and swing (p = 0.012) and stride time (p < 0.001) were higher in older fallers. Speed of older fallers was 31.8% slower than those of the non-fallers (p < 0.001). The kinematic variables that were able to predict falls were: stride time variability (p < 0.001), threshold of 0.4 s, sensitivity of 50% and specificity of 100%; and gait speed (p < 0.001), threshold of 0.65 m·s −1 , sensibility and specificity of 50%. Interpretation: Older adults living in an assisted living facility with a history of falls demonstrate increased kinematic variability while walking. However, the ability of gait kinematic parameters to predict falls was found to be weak. The results suggested that gait kinematic parameters are weak predictors of falls in older adults with cognitive impairments living in long term institutions.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Center of Health Sciences Sacred Heart University USCDepartment of Physiotherapy and Occupational Therapy University of São Paulo State UNESPMarilia Medical School FAMEMADepartment of Health Sciences University of São Paulo (USP) School of MedicineDepartment of Physiotherapy and Occupational Therapy University of São Paulo State UNESPFAPESP: 2016/02727-3FAPESP: 2016/02728-0USCUniversidade Estadual Paulista (Unesp)FAMEMAUniversidade de São Paulo (USP)Marques, Nise RibeiroCamilo, Giovanna Ferreira [UNESP]de Martini Lopes dos Santos, Ana Paula [UNESP]Cardoso, Bruna CarvalhoNavega, Marcelo Tavella [UNESP]de Abreu, Daniela Cristina Carvalho2019-10-06T16:26:50Z2019-10-06T16:26:50Z2019-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article123-127http://dx.doi.org/10.1016/j.clinbiomech.2019.04.011Clinical Biomechanics, v. 65, p. 123-127.1879-12710268-0033http://hdl.handle.net/11449/18900810.1016/j.clinbiomech.2019.04.0112-s2.0-850646065761153464448003029Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengClinical Biomechanicsinfo:eu-repo/semantics/openAccess2021-10-23T16:09:04Zoai:repositorio.unesp.br:11449/189008Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T16:09:04Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions |
title |
The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions |
spellingShingle |
The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions Marques, Nise Ribeiro Aging Biomechanics Falls prevention Physical therapy |
title_short |
The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions |
title_full |
The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions |
title_fullStr |
The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions |
title_full_unstemmed |
The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions |
title_sort |
The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions |
author |
Marques, Nise Ribeiro |
author_facet |
Marques, Nise Ribeiro Camilo, Giovanna Ferreira [UNESP] de Martini Lopes dos Santos, Ana Paula [UNESP] Cardoso, Bruna Carvalho Navega, Marcelo Tavella [UNESP] de Abreu, Daniela Cristina Carvalho |
author_role |
author |
author2 |
Camilo, Giovanna Ferreira [UNESP] de Martini Lopes dos Santos, Ana Paula [UNESP] Cardoso, Bruna Carvalho Navega, Marcelo Tavella [UNESP] de Abreu, Daniela Cristina Carvalho |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
USC Universidade Estadual Paulista (Unesp) FAMEMA Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Marques, Nise Ribeiro Camilo, Giovanna Ferreira [UNESP] de Martini Lopes dos Santos, Ana Paula [UNESP] Cardoso, Bruna Carvalho Navega, Marcelo Tavella [UNESP] de Abreu, Daniela Cristina Carvalho |
dc.subject.por.fl_str_mv |
Aging Biomechanics Falls prevention Physical therapy |
topic |
Aging Biomechanics Falls prevention Physical therapy |
description |
Background: Cognitive impairments reduce adaptive responses and may increase the risk of falls. Objectives: To compare gait kinematics in older adults with cognitive impairments living in long term institutions and to identify the ability of gait kinematics to predict falls in older adults with cognitive impairments living in long term institutions. Methods: Data of 23 older adults with cognitive impairments living in long term institutions were considered for this study. Fifty gait cycles were recorded during walking at a self-selected pace using footswitches sensors. The variables considered for the analysis were: speed; stride length; stance, swing and stride time; and the variability of these parameters. Fall status was recorded for a 6 month-period. Findings: MANOVA found group effect (p = 0.025) for gait kinematics comparisons. Variability of stance (p = 0.01) and swing (p = 0.012) and stride time (p < 0.001) were higher in older fallers. Speed of older fallers was 31.8% slower than those of the non-fallers (p < 0.001). The kinematic variables that were able to predict falls were: stride time variability (p < 0.001), threshold of 0.4 s, sensitivity of 50% and specificity of 100%; and gait speed (p < 0.001), threshold of 0.65 m·s −1 , sensibility and specificity of 50%. Interpretation: Older adults living in an assisted living facility with a history of falls demonstrate increased kinematic variability while walking. However, the ability of gait kinematic parameters to predict falls was found to be weak. The results suggested that gait kinematic parameters are weak predictors of falls in older adults with cognitive impairments living in long term institutions. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T16:26:50Z 2019-10-06T16:26:50Z 2019-05-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.clinbiomech.2019.04.011 Clinical Biomechanics, v. 65, p. 123-127. 1879-1271 0268-0033 http://hdl.handle.net/11449/189008 10.1016/j.clinbiomech.2019.04.011 2-s2.0-85064606576 1153464448003029 |
url |
http://dx.doi.org/10.1016/j.clinbiomech.2019.04.011 http://hdl.handle.net/11449/189008 |
identifier_str_mv |
Clinical Biomechanics, v. 65, p. 123-127. 1879-1271 0268-0033 10.1016/j.clinbiomech.2019.04.011 2-s2.0-85064606576 1153464448003029 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Clinical Biomechanics |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
123-127 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965013876670464 |