Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10400.15/4031 |
Resumo: | The aim of the present study was to compare electrical bioimpedance variables, blood markers and functional tests based on Body Mass Index (BMI) in older women. Associations between Phase Angle (PhA) with functional tests and blood markers were also analyzed. A total of 46 independent elderly people participated in the study, and they were divided into four groups according to BMI values: Group 1 (G1, BMI < 25 kg/m2); Group 2 (G2, BMI > 25–30 kg/m2); Group 3 (G3, BMI > 30–35 kg/m2); Group 4 (G4, BMI > 35 kg/m2). In addition to the weight and height used to calculate the BMI, the following body composition variables were collected: fat mass (FM), fat-free mass, intracellular water (ICW), extracellular water (ECW), total body water (TBW) and PhA (50 kHz) through InBody S10 equipment. Functional capacity was assessed using the Fullerton battery of tests: arm-curl; chair-stand; 6 min walking test (6MWT); time up-and-go test (TUG); standing on one leg (SOOL) and take 10 foot-lines (10FL). The main results showed differences between groups in the tests: 6MWT, SOOL and 10FL between G1 vs. G3 and G2 vs. G3 (p < 0.05); ACT, AIC and AEC between G1 vs. G4 (p < 0.05); FM among all groups (p < 0.05). Negative correlations were found between PhA and the agility test in G1 (r = −0.848; p = 0.008) and G4 (r = −0.909; p = 0.005); PhA and chair-stand in G3 (r = 0.527; p = 0.044); PhA and forearm flexion in G3 (r = 0.641; p = 0.010) and G4 (r = 0.943; p = 0.001); PhA and 6MWT in G4 (r = 0.771; p = 0.042). This study found that there is a clear trend towards better functional capacities with better parameters of body composition. Although there were no differences between groups in PhA, associations were found between different functional tests with PhA, which reveals the importance of this variable as a marker of health status. |
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Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angleaerobic capacityblood parameterselderlyfullerton testsfunctional capacityhemodynamic profileThe aim of the present study was to compare electrical bioimpedance variables, blood markers and functional tests based on Body Mass Index (BMI) in older women. Associations between Phase Angle (PhA) with functional tests and blood markers were also analyzed. A total of 46 independent elderly people participated in the study, and they were divided into four groups according to BMI values: Group 1 (G1, BMI < 25 kg/m2); Group 2 (G2, BMI > 25–30 kg/m2); Group 3 (G3, BMI > 30–35 kg/m2); Group 4 (G4, BMI > 35 kg/m2). In addition to the weight and height used to calculate the BMI, the following body composition variables were collected: fat mass (FM), fat-free mass, intracellular water (ICW), extracellular water (ECW), total body water (TBW) and PhA (50 kHz) through InBody S10 equipment. Functional capacity was assessed using the Fullerton battery of tests: arm-curl; chair-stand; 6 min walking test (6MWT); time up-and-go test (TUG); standing on one leg (SOOL) and take 10 foot-lines (10FL). The main results showed differences between groups in the tests: 6MWT, SOOL and 10FL between G1 vs. G3 and G2 vs. G3 (p < 0.05); ACT, AIC and AEC between G1 vs. G4 (p < 0.05); FM among all groups (p < 0.05). Negative correlations were found between PhA and the agility test in G1 (r = −0.848; p = 0.008) and G4 (r = −0.909; p = 0.005); PhA and chair-stand in G3 (r = 0.527; p = 0.044); PhA and forearm flexion in G3 (r = 0.641; p = 0.010) and G4 (r = 0.943; p = 0.001); PhA and 6MWT in G4 (r = 0.771; p = 0.042). This study found that there is a clear trend towards better functional capacities with better parameters of body composition. Although there were no differences between groups in PhA, associations were found between different functional tests with PhA, which reveals the importance of this variable as a marker of health status.MDPIRepositório Científico do Instituto Politécnico de SantarémOliveira, RafaelLeão, CésarSilva, Ana FilipaClemente, Filipe ManuelSantamarinha, Carlos TadeuNobari, HadiBrito, João2022-06-22T19:47:00Z2022-062022-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.15/4031engOliveira, R.; Leão, C.; Silva, A.F.; Clemente, F.M.; Santamarinha, C.T.; Nobari, H. & Brito, J.P. (2022)Comparisons between Bioelectrical Impedance Variables, Functional Tests and Blood Markers Based on BMI in Older Women and Their Association with Phase Angle. Int. J. Environ. Res. Public Health, 19, 6851. https://doi.org/10.3390/ijerph191168511660-460110.3390/ijerph19116851info: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:RCAAP2024-01-21T07:36:38Zoai:repositorio.ipsantarem.pt:10400.15/4031Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:55:40.863541Repositório 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 |
Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle |
title |
Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle |
spellingShingle |
Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle Oliveira, Rafael aerobic capacity blood parameters elderly fullerton tests functional capacity hemodynamic profile |
title_short |
Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle |
title_full |
Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle |
title_fullStr |
Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle |
title_full_unstemmed |
Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle |
title_sort |
Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase angle |
author |
Oliveira, Rafael |
author_facet |
Oliveira, Rafael Leão, César Silva, Ana Filipa Clemente, Filipe Manuel Santamarinha, Carlos Tadeu Nobari, Hadi Brito, João |
author_role |
author |
author2 |
Leão, César Silva, Ana Filipa Clemente, Filipe Manuel Santamarinha, Carlos Tadeu Nobari, Hadi Brito, João |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Santarém |
dc.contributor.author.fl_str_mv |
Oliveira, Rafael Leão, César Silva, Ana Filipa Clemente, Filipe Manuel Santamarinha, Carlos Tadeu Nobari, Hadi Brito, João |
dc.subject.por.fl_str_mv |
aerobic capacity blood parameters elderly fullerton tests functional capacity hemodynamic profile |
topic |
aerobic capacity blood parameters elderly fullerton tests functional capacity hemodynamic profile |
description |
The aim of the present study was to compare electrical bioimpedance variables, blood markers and functional tests based on Body Mass Index (BMI) in older women. Associations between Phase Angle (PhA) with functional tests and blood markers were also analyzed. A total of 46 independent elderly people participated in the study, and they were divided into four groups according to BMI values: Group 1 (G1, BMI < 25 kg/m2); Group 2 (G2, BMI > 25–30 kg/m2); Group 3 (G3, BMI > 30–35 kg/m2); Group 4 (G4, BMI > 35 kg/m2). In addition to the weight and height used to calculate the BMI, the following body composition variables were collected: fat mass (FM), fat-free mass, intracellular water (ICW), extracellular water (ECW), total body water (TBW) and PhA (50 kHz) through InBody S10 equipment. Functional capacity was assessed using the Fullerton battery of tests: arm-curl; chair-stand; 6 min walking test (6MWT); time up-and-go test (TUG); standing on one leg (SOOL) and take 10 foot-lines (10FL). The main results showed differences between groups in the tests: 6MWT, SOOL and 10FL between G1 vs. G3 and G2 vs. G3 (p < 0.05); ACT, AIC and AEC between G1 vs. G4 (p < 0.05); FM among all groups (p < 0.05). Negative correlations were found between PhA and the agility test in G1 (r = −0.848; p = 0.008) and G4 (r = −0.909; p = 0.005); PhA and chair-stand in G3 (r = 0.527; p = 0.044); PhA and forearm flexion in G3 (r = 0.641; p = 0.010) and G4 (r = 0.943; p = 0.001); PhA and 6MWT in G4 (r = 0.771; p = 0.042). This study found that there is a clear trend towards better functional capacities with better parameters of body composition. Although there were no differences between groups in PhA, associations were found between different functional tests with PhA, which reveals the importance of this variable as a marker of health status. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-22T19:47:00Z 2022-06 2022-06-01T00:00:00Z |
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/10400.15/4031 |
url |
http://hdl.handle.net/10400.15/4031 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Oliveira, R.; Leão, C.; Silva, A.F.; Clemente, F.M.; Santamarinha, C.T.; Nobari, H. & Brito, J.P. (2022)Comparisons between Bioelectrical Impedance Variables, Functional Tests and Blood Markers Based on BMI in Older Women and Their Association with Phase Angle. Int. J. Environ. Res. Public Health, 19, 6851. https://doi.org/10.3390/ijerph19116851 1660-4601 10.3390/ijerph19116851 |
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 |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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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 |
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1799137046353149952 |