Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old

Detalhes bibliográficos
Autor(a) principal: Gervásio, Flávia Martins
Data de Publicação: 2016
Outros Autores: Santos, Guilherme Augusto, Ribeiro, Darlan Martins, Menezes, Ruth Losada de
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Fisioterapia e Pesquisa
Texto Completo: https://www.revistas.usp.br/fpusp/article/view/130872
Resumo: The aim of this study was to compare and correlate spatiotemporal parameters that would indicate falls risk. Thirty-five healthy women without a history of falls in the previous year were selected. Five spatiotemporal parameters were collected from right (R) and left (L) lower limbs using three-dimensional gait analysis. Two groups: young women (20-40 years) and adult/older women (50-70 years) were analyzed. The comparisons between the groups differed in R (p=0.003) and L (p=0.002) stride length, R (p=0.008) and L (p=0.001) step length, L stance period (p=0.008), R step period (p=0.049), L double support time (p=0.003), step width (p=0.005), L loading response time (p=0.001), R (p=0.001) and L (p=0.001) pre-swing time. Gait cycle percentage data also showed statistical difference in L stance (p=0.001), L swing (p=0.001), L single support (p=0.025), L loading response (p=0.001), R (p=0.014) and L (p=0.001) pre-swing. Linear regression indicated that step and stride length increased 18% and gait velocity increased 20% with age variation. The results propose that functional measures (velocity, step and stride length) decrease as age increases, while stability measures (stance, double support and pre-swing time) increase. These findings suggest that women aged between 50-70 years may have falls risk. Women aged 50-60 are usually considered as having low falls risk.
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spelling Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years oldMedidas temporoespaciais indicativas de quedas em mulheres saudáveis entre 50 e 70 anos avaliadas pela análise tridimensional da marchaLa detección de los riesgos de caídas en muyeres sanas de 50 a 70 años de edad desde el análisis de medidas temporoespaciales de la marchaMarchaAccidentes por CaídasSalud de la MujerMediana EdadTecnología BiomédicaMarchaAcidentes por QuedasSaúde da MulherMeia-IdadeTecnologia BiomédicaGaitAccidental FallsWomen’s HealthMiddle AgeBiomedical TechnologyThe aim of this study was to compare and correlate spatiotemporal parameters that would indicate falls risk. Thirty-five healthy women without a history of falls in the previous year were selected. Five spatiotemporal parameters were collected from right (R) and left (L) lower limbs using three-dimensional gait analysis. Two groups: young women (20-40 years) and adult/older women (50-70 years) were analyzed. The comparisons between the groups differed in R (p=0.003) and L (p=0.002) stride length, R (p=0.008) and L (p=0.001) step length, L stance period (p=0.008), R step period (p=0.049), L double support time (p=0.003), step width (p=0.005), L loading response time (p=0.001), R (p=0.001) and L (p=0.001) pre-swing time. Gait cycle percentage data also showed statistical difference in L stance (p=0.001), L swing (p=0.001), L single support (p=0.025), L loading response (p=0.001), R (p=0.014) and L (p=0.001) pre-swing. Linear regression indicated that step and stride length increased 18% and gait velocity increased 20% with age variation. The results propose that functional measures (velocity, step and stride length) decrease as age increases, while stability measures (stance, double support and pre-swing time) increase. These findings suggest that women aged between 50-70 years may have falls risk. Women aged 50-60 are usually considered as having low falls risk.El propósito de este estudio fue comparar y correlacionar las medidas temporoespaciales de la marcha, indicativas de caídas. Del estudio participaron 35 mujeres sanas, sin historial de caídas en el periodo del estudio. El análisis computadorizado tridimensional de la marcha brindó cinco medidas temporoespaciales de cada participante, de los miembros inferiores derecho (D) e izquierdo (I). En el análisis inferencial se evaluaron dos grupos de participantes: jóvenes (20-40 años) y adultas-personas mayores (50-70 años). Hubo diferencia estadísticamente significativa entre grupos en la longitud del paso D (p=0,003) e I (p=0,002); paso D (p=0,008) e I (p=0,001); tiempo de apoyo I (p=0,008); tiempo de paso D (p=0,049); tiempo de doble apoyo I (p=0,003); longitud de la base I (p=0,005); respuesta a la carga I (p=0,001); preoscilación D (p=0,001) e I (p=0,001) y para algunas medidas en percentil de ciclo de marcha: apoyo I (p=0,001); oscilación I (p=0,001); apoyo simples I (p=0,025); respuesta a la carga I (p=0,00); preoscilación I (p=0,001) y preoscilación D (p=0,014). La regresión lineal mostró que la variación de la edad cambió en media un 18% en las medidas de la longitud del paso y del movimiento y un 20% en la velocidad de marcha. Avanzado la edad, las medidas funcionales disminuyen, y, en consecuencia, aumentan las medidas de estabilidad, como duración de los periodos de apoyo, doble apoyo y preoscilación. Esos cambios señalan el riesgo de caída en la franja etaria de 50 a 70 años. Algunas medidas de marcha pueden presentar alteraciones en una franja etaria que todavía la consideran de bajo riesgo.Objetivou-se comparar e correlacionar medidas temporoespaciais da marcha indicativas de quedas. Participaram do estudo 35 mulheres saudáveis, sem histórico de quedas no ano da avaliação. A análise computadorizada tridimensional da marcha forneceu cinco medidas temporoespaciais de cada participante, dos membros inferiores direito (D) e esquerdo (E). A análise inferencial abordou dois grupos de mulheres: jovens (20 40 anos) e adultas-idosas (50-70 anos). Houve diferença estatística significativa entre os grupos para comprimento da passada D (p=0,003) e E (p=0,002); passo D (p=0,008) e E (p=0,001); tempo de apoio E (p=0,008); tempo de passo D (p=0,049); tempo de apoio duplo E (p=0,003); largura da base E (p=0,005); resposta à carga E (p=0,001); pré-balanço D (p=0,001) e E (p=0,001) e para algumas medidas em percentil do ciclo de marcha: apoio E (p=0,001); balanço E (p=0,001); apoio simples E (p=0,025); resposta à carga E (p=0,00); pré-balanço E (p=0,001) e pré-balanço D (p=0,014). A regressão linear indicou que a variação da idade modificou em média 18% as medidas de comprimento do passo e da passada e em 20% a velocidade da marcha. Com o avanço da idade, as medidas funcionais diminuíram; e, consequentemente, as medidas de estabilidade, como duração dos períodos de apoio, apoio duplo e pré-balanço, aumentaram. Essas modificações indicam risco de queda na faixa etária de 50 a 70 anos. Algumas medidas de marcha podem apresentar alteração em uma faixa etária ainda considerada de baixo risco.Universidade de São Paulo. Faculdade de Medicina2016-12-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://www.revistas.usp.br/fpusp/article/view/13087210.1590/1809-2950/15661923042016Fisioterapia e Pesquisa; Vol. 23 No. 4 (2016); 358-364Fisioterapia e Pesquisa; Vol. 23 Núm. 4 (2016); 358-364Fisioterapia e Pesquisa; v. 23 n. 4 (2016); 358-3642316-91171809-2950reponame:Fisioterapia e Pesquisainstname:Universidade de São Paulo (USP)instacron:USPporenghttps://www.revistas.usp.br/fpusp/article/view/130872/127329https://www.revistas.usp.br/fpusp/article/view/130872/127330Copyright (c) 2016 Fisioterapia e Pesquisahttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessGervásio, Flávia MartinsSantos, Guilherme AugustoRibeiro, Darlan MartinsMenezes, Ruth Losada de2023-05-26T14:20:11Zoai:revistas.usp.br:article/130872Revistahttp://www.revistas.usp.br/fpuspPUBhttps://www.revistas.usp.br/fpusp/oai||revfisio@usp.br2316-91171809-2950opendoar:2023-05-26T14:20:11Fisioterapia e Pesquisa - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old
Medidas temporoespaciais indicativas de quedas em mulheres saudáveis entre 50 e 70 anos avaliadas pela análise tridimensional da marcha
La detección de los riesgos de caídas en muyeres sanas de 50 a 70 años de edad desde el análisis de medidas temporoespaciales de la marcha
title Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old
spellingShingle Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old
Gervásio, Flávia Martins
Marcha
Accidentes por Caídas
Salud de la Mujer
Mediana Edad
Tecnología Biomédica
Marcha
Acidentes por Quedas
Saúde da Mulher
Meia-Idade
Tecnologia Biomédica
Gait
Accidental Falls
Women’s Health
Middle Age
Biomedical Technology
title_short Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old
title_full Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old
title_fullStr Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old
title_full_unstemmed Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old
title_sort Falls risk detection based on spatiotemporal parameters of three-dimensional gait analysis in healthy adult women from 50 to 70 years old
author Gervásio, Flávia Martins
author_facet Gervásio, Flávia Martins
Santos, Guilherme Augusto
Ribeiro, Darlan Martins
Menezes, Ruth Losada de
author_role author
author2 Santos, Guilherme Augusto
Ribeiro, Darlan Martins
Menezes, Ruth Losada de
author2_role author
author
author
dc.contributor.author.fl_str_mv Gervásio, Flávia Martins
Santos, Guilherme Augusto
Ribeiro, Darlan Martins
Menezes, Ruth Losada de
dc.subject.por.fl_str_mv Marcha
Accidentes por Caídas
Salud de la Mujer
Mediana Edad
Tecnología Biomédica
Marcha
Acidentes por Quedas
Saúde da Mulher
Meia-Idade
Tecnologia Biomédica
Gait
Accidental Falls
Women’s Health
Middle Age
Biomedical Technology
topic Marcha
Accidentes por Caídas
Salud de la Mujer
Mediana Edad
Tecnología Biomédica
Marcha
Acidentes por Quedas
Saúde da Mulher
Meia-Idade
Tecnologia Biomédica
Gait
Accidental Falls
Women’s Health
Middle Age
Biomedical Technology
description The aim of this study was to compare and correlate spatiotemporal parameters that would indicate falls risk. Thirty-five healthy women without a history of falls in the previous year were selected. Five spatiotemporal parameters were collected from right (R) and left (L) lower limbs using three-dimensional gait analysis. Two groups: young women (20-40 years) and adult/older women (50-70 years) were analyzed. The comparisons between the groups differed in R (p=0.003) and L (p=0.002) stride length, R (p=0.008) and L (p=0.001) step length, L stance period (p=0.008), R step period (p=0.049), L double support time (p=0.003), step width (p=0.005), L loading response time (p=0.001), R (p=0.001) and L (p=0.001) pre-swing time. Gait cycle percentage data also showed statistical difference in L stance (p=0.001), L swing (p=0.001), L single support (p=0.025), L loading response (p=0.001), R (p=0.014) and L (p=0.001) pre-swing. Linear regression indicated that step and stride length increased 18% and gait velocity increased 20% with age variation. The results propose that functional measures (velocity, step and stride length) decrease as age increases, while stability measures (stance, double support and pre-swing time) increase. These findings suggest that women aged between 50-70 years may have falls risk. Women aged 50-60 are usually considered as having low falls risk.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/fpusp/article/view/130872
10.1590/1809-2950/15661923042016
url https://www.revistas.usp.br/fpusp/article/view/130872
identifier_str_mv 10.1590/1809-2950/15661923042016
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/fpusp/article/view/130872/127329
https://www.revistas.usp.br/fpusp/article/view/130872/127330
dc.rights.driver.fl_str_mv Copyright (c) 2016 Fisioterapia e Pesquisa
https://creativecommons.org/licenses/by-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 Fisioterapia e Pesquisa
https://creativecommons.org/licenses/by-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Medicina
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Medicina
dc.source.none.fl_str_mv Fisioterapia e Pesquisa; Vol. 23 No. 4 (2016); 358-364
Fisioterapia e Pesquisa; Vol. 23 Núm. 4 (2016); 358-364
Fisioterapia e Pesquisa; v. 23 n. 4 (2016); 358-364
2316-9117
1809-2950
reponame:Fisioterapia e Pesquisa
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Fisioterapia e Pesquisa
collection Fisioterapia e Pesquisa
repository.name.fl_str_mv Fisioterapia e Pesquisa - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||revfisio@usp.br
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