Monitorization of timed up and go phases in elderly
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/20.500.11960/3283 |
Resumo: | Aims: to characterize functional mobility during timed “Up and Go” (TUG) test using WivaVR science sensor and to identify which parameter of TUG test best correlates with healthrelated outcomes in elderly. Methods: 1598 participants (71.53 ± 4.99 y, 64.1% women) were recruited. The body mass index (BMI), muscle strength, health status, and all TUG phases (sit-to-stand, gait-to-go, turning, gait-return, and stand-to-sit) were evaluated. 5-TUG performance-group scores are reported for the <20th; 20–40th,40–60th, 60–80th, 80–100th percentiles, as there is no health standard cutoff for Portuguese elderly. The Pearson’s correlations were assessed between variables (p < 0.05). Results: The best TUG performers (<20th) presented better results than the other groups for all tests, with the exception of the Turning phase. Both gait, sit-to-stand and stand-to-sit were inversely correlated with health status and muscle strength, and positively correlated with BMI. Conclusions: All phases of TUG test are an important tool to assess functional mobility, providing complementary data for clinical settings in elderly population. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Monitorization of timed up and go phases in elderlyActive agingFunctional mobilityQuality of lifeTimed up and goInertial sensorAims: to characterize functional mobility during timed “Up and Go” (TUG) test using WivaVR science sensor and to identify which parameter of TUG test best correlates with healthrelated outcomes in elderly. Methods: 1598 participants (71.53 ± 4.99 y, 64.1% women) were recruited. The body mass index (BMI), muscle strength, health status, and all TUG phases (sit-to-stand, gait-to-go, turning, gait-return, and stand-to-sit) were evaluated. 5-TUG performance-group scores are reported for the <20th; 20–40th,40–60th, 60–80th, 80–100th percentiles, as there is no health standard cutoff for Portuguese elderly. The Pearson’s correlations were assessed between variables (p < 0.05). Results: The best TUG performers (<20th) presented better results than the other groups for all tests, with the exception of the Turning phase. Both gait, sit-to-stand and stand-to-sit were inversely correlated with health status and muscle strength, and positively correlated with BMI. Conclusions: All phases of TUG test are an important tool to assess functional mobility, providing complementary data for clinical settings in elderly population.Taylor & Francis Online2023-04-17T11:17:13Z2020-10-27T00:00:00Z2020-10-272022-09-19T11:51:40Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.11960/3283eng0270-31811541-3152 (online)10.1080/02703181.2020.1836111Lima, MiguelRocha-Rodrigues, SílviaBezerra, PedroRodrigues, Luis PauloCancela, José Mariainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-04-11T08:09:58Zoai:repositorio.ipvc.pt:20.500.11960/3283Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-04-11T08:09:58Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Monitorization of timed up and go phases in elderly |
title |
Monitorization of timed up and go phases in elderly |
spellingShingle |
Monitorization of timed up and go phases in elderly Lima, Miguel Active aging Functional mobility Quality of life Timed up and go Inertial sensor |
title_short |
Monitorization of timed up and go phases in elderly |
title_full |
Monitorization of timed up and go phases in elderly |
title_fullStr |
Monitorization of timed up and go phases in elderly |
title_full_unstemmed |
Monitorization of timed up and go phases in elderly |
title_sort |
Monitorization of timed up and go phases in elderly |
author |
Lima, Miguel |
author_facet |
Lima, Miguel Rocha-Rodrigues, Sílvia Bezerra, Pedro Rodrigues, Luis Paulo Cancela, José Maria |
author_role |
author |
author2 |
Rocha-Rodrigues, Sílvia Bezerra, Pedro Rodrigues, Luis Paulo Cancela, José Maria |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Lima, Miguel Rocha-Rodrigues, Sílvia Bezerra, Pedro Rodrigues, Luis Paulo Cancela, José Maria |
dc.subject.por.fl_str_mv |
Active aging Functional mobility Quality of life Timed up and go Inertial sensor |
topic |
Active aging Functional mobility Quality of life Timed up and go Inertial sensor |
description |
Aims: to characterize functional mobility during timed “Up and Go” (TUG) test using WivaVR science sensor and to identify which parameter of TUG test best correlates with healthrelated outcomes in elderly. Methods: 1598 participants (71.53 ± 4.99 y, 64.1% women) were recruited. The body mass index (BMI), muscle strength, health status, and all TUG phases (sit-to-stand, gait-to-go, turning, gait-return, and stand-to-sit) were evaluated. 5-TUG performance-group scores are reported for the <20th; 20–40th,40–60th, 60–80th, 80–100th percentiles, as there is no health standard cutoff for Portuguese elderly. The Pearson’s correlations were assessed between variables (p < 0.05). Results: The best TUG performers (<20th) presented better results than the other groups for all tests, with the exception of the Turning phase. Both gait, sit-to-stand and stand-to-sit were inversely correlated with health status and muscle strength, and positively correlated with BMI. Conclusions: All phases of TUG test are an important tool to assess functional mobility, providing complementary data for clinical settings in elderly population. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-27T00:00:00Z 2020-10-27 2022-09-19T11:51:40Z 2023-04-17T11:17:13Z |
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://hdl.handle.net/20.500.11960/3283 |
url |
http://hdl.handle.net/20.500.11960/3283 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0270-3181 1541-3152 (online) 10.1080/02703181.2020.1836111 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis Online |
publisher.none.fl_str_mv |
Taylor & Francis Online |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817543260171665408 |