Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Physical Therapy |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-35552016000300258 |
Resumo: | ABSTRACT Background Gait is an extremely complex motor task; therefore, gait data should encompass as many gait parameters as possible. Objective To provide reference values for gait measurements obtained from a Brazilian group of community-dwelling elderly females between the ages of 65 and 89 years and to apply the PCA-biplot to yield insight into different walking strategies that might occur during the aging process. Method 305 elderly community-dwelling females living in Brazil were stratified into four age groups: 65-69 years (N=103); 70-74 years (N=95); 75-79 years (N=77); and ≥80 years (N=30). Age, height, and BMI were assessed to describe the characteristics of the groups. Gait spatiotemporal and variability data were obtained using the GAITRite® system. Principal component analysis, followed by MANOVA and the PCA-biplot approach were used to analyze the data. Results 95% CI showed that only three components – rhythm, variability, and support - together explained 74.2% of the total variance in gait that were different among the groups. The older groups (75-79 and ≥80 years) walked with lower than average velocity, cadence, and step length and were above average for the variables stance, step, swing, and double support time and the ≥80 year old group presented the highest gait variability compared to the other groups. Conclusion Aging is associated with decreased gait velocity and cadence and increased stance, step time, and variability, but not associated with changes in base of support. In addition, the PCA-biplot indicates a decline towards decreased rhythm and increased variability with aging. |
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Brazilian Journal of Physical Therapy |
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Spatiotemporal and variability gait data in community-dwelling elderly women from Brazilgaitelderlyprincipal component analysisbiplotvariabilityphysical therapyABSTRACT Background Gait is an extremely complex motor task; therefore, gait data should encompass as many gait parameters as possible. Objective To provide reference values for gait measurements obtained from a Brazilian group of community-dwelling elderly females between the ages of 65 and 89 years and to apply the PCA-biplot to yield insight into different walking strategies that might occur during the aging process. Method 305 elderly community-dwelling females living in Brazil were stratified into four age groups: 65-69 years (N=103); 70-74 years (N=95); 75-79 years (N=77); and ≥80 years (N=30). Age, height, and BMI were assessed to describe the characteristics of the groups. Gait spatiotemporal and variability data were obtained using the GAITRite® system. Principal component analysis, followed by MANOVA and the PCA-biplot approach were used to analyze the data. Results 95% CI showed that only three components – rhythm, variability, and support - together explained 74.2% of the total variance in gait that were different among the groups. The older groups (75-79 and ≥80 years) walked with lower than average velocity, cadence, and step length and were above average for the variables stance, step, swing, and double support time and the ≥80 year old group presented the highest gait variability compared to the other groups. Conclusion Aging is associated with decreased gait velocity and cadence and increased stance, step time, and variability, but not associated with changes in base of support. In addition, the PCA-biplot indicates a decline towards decreased rhythm and increased variability with aging.Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia 2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-35552016000300258Brazilian Journal of Physical Therapy v.20 n.3 2016reponame:Brazilian Journal of Physical Therapyinstname:Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT)instacron:ABRAPG-FT10.1590/bjpt-rbf.2014.0157info:eu-repo/semantics/openAccessKirkwood,Renata N.Gomes,Henrique A.Sampaio,Rosana F.Furtado,Sheyla R. C.Moreira,Bruno S.eng2016-07-15T00:00:00Zoai:scielo:S1413-35552016000300258Revistahttps://www.scielo.br/j/rbfis/https://old.scielo.br/oai/scielo-oai.phpcontato@rbf-bjpt.org.br||contato@rbf-bjpt.org.br1809-92461413-3555opendoar:2016-07-15T00:00Brazilian Journal of Physical Therapy - Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT)false |
dc.title.none.fl_str_mv |
Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil |
title |
Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil |
spellingShingle |
Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil Kirkwood,Renata N. gait elderly principal component analysis biplot variability physical therapy |
title_short |
Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil |
title_full |
Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil |
title_fullStr |
Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil |
title_full_unstemmed |
Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil |
title_sort |
Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil |
author |
Kirkwood,Renata N. |
author_facet |
Kirkwood,Renata N. Gomes,Henrique A. Sampaio,Rosana F. Furtado,Sheyla R. C. Moreira,Bruno S. |
author_role |
author |
author2 |
Gomes,Henrique A. Sampaio,Rosana F. Furtado,Sheyla R. C. Moreira,Bruno S. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Kirkwood,Renata N. Gomes,Henrique A. Sampaio,Rosana F. Furtado,Sheyla R. C. Moreira,Bruno S. |
dc.subject.por.fl_str_mv |
gait elderly principal component analysis biplot variability physical therapy |
topic |
gait elderly principal component analysis biplot variability physical therapy |
description |
ABSTRACT Background Gait is an extremely complex motor task; therefore, gait data should encompass as many gait parameters as possible. Objective To provide reference values for gait measurements obtained from a Brazilian group of community-dwelling elderly females between the ages of 65 and 89 years and to apply the PCA-biplot to yield insight into different walking strategies that might occur during the aging process. Method 305 elderly community-dwelling females living in Brazil were stratified into four age groups: 65-69 years (N=103); 70-74 years (N=95); 75-79 years (N=77); and ≥80 years (N=30). Age, height, and BMI were assessed to describe the characteristics of the groups. Gait spatiotemporal and variability data were obtained using the GAITRite® system. Principal component analysis, followed by MANOVA and the PCA-biplot approach were used to analyze the data. Results 95% CI showed that only three components – rhythm, variability, and support - together explained 74.2% of the total variance in gait that were different among the groups. The older groups (75-79 and ≥80 years) walked with lower than average velocity, cadence, and step length and were above average for the variables stance, step, swing, and double support time and the ≥80 year old group presented the highest gait variability compared to the other groups. Conclusion Aging is associated with decreased gait velocity and cadence and increased stance, step time, and variability, but not associated with changes in base of support. In addition, the PCA-biplot indicates a decline towards decreased rhythm and increased variability with aging. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-35552016000300258 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-35552016000300258 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/bjpt-rbf.2014.0157 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia |
publisher.none.fl_str_mv |
Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia |
dc.source.none.fl_str_mv |
Brazilian Journal of Physical Therapy v.20 n.3 2016 reponame:Brazilian Journal of Physical Therapy instname:Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT) instacron:ABRAPG-FT |
instname_str |
Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT) |
instacron_str |
ABRAPG-FT |
institution |
ABRAPG-FT |
reponame_str |
Brazilian Journal of Physical Therapy |
collection |
Brazilian Journal of Physical Therapy |
repository.name.fl_str_mv |
Brazilian Journal of Physical Therapy - Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT) |
repository.mail.fl_str_mv |
contato@rbf-bjpt.org.br||contato@rbf-bjpt.org.br |
_version_ |
1754575950550401024 |