Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry

Aims: The aim of this study was to analyse the association between specific bioelectric impedance vector analysis (BIVA) and dual-energy X-ray absorptiometry (DXA) to assess segmental body composition using DXA as the reference technique. [...]

Detalles Bibliográficos
Autores: Stagi, Silvia, Irurtia, Alfredo, Rosales Rafel, Quim, Cabras, Stefano, Buffa, Roberto, Carrasco-Marginet, Marta, Castizo-Olier, Jorge
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:TecnoCampus
Repositorio:Repositori Digital del TecnoCampus
OAI Identifier:oai:repositori.tecnocampus.cat:20.500.12367/2583
Acceso en línea:http://hdl.handle.net/20.500.12367/2583
Access Level:acceso abierto
Palabra clave:Segmental body composition
Bioelectrical impedance vector analysis
BIVA
Phase angle
DXA
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spelling Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometryStagi, SilviaIrurtia, AlfredoRosales Rafel, QuimCabras, StefanoBuffa, RobertoCarrasco-Marginet, MartaCastizo-Olier, JorgeSegmental body compositionBioelectrical impedance vector analysisBIVAPhase angleDXAAims: The aim of this study was to analyse the association between specific bioelectric impedance vector analysis (BIVA) and dual-energy X-ray absorptiometry (DXA) to assess segmental body composition using DXA as the reference technique. [...]info:eu-repo/semantics/acceptedVersionElsevier202420242021info:eu-repo/semantics/article7 p.application/pdfhttp://hdl.handle.net/20.500.12367/2583reponame:Repositori Digital del TecnoCampusinstname:TecnoCampusInglésClinical Nutrition.2021;40(4):1621-1627© 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism.Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositori.tecnocampus.cat:20.500.12367/25832026-06-21T13:30:27Z
dc.title.none.fl_str_mv Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry
title Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry
spellingShingle Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry
Stagi, Silvia
Segmental body composition
Bioelectrical impedance vector analysis
BIVA
Phase angle
DXA
title_short Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry
title_full Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry
title_fullStr Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry
title_full_unstemmed Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry
title_sort Segmental body composition estimated by specific BIVA and dual-energy X-ray absorptiometry
dc.creator.none.fl_str_mv Stagi, Silvia
Irurtia, Alfredo
Rosales Rafel, Quim
Cabras, Stefano
Buffa, Roberto
Carrasco-Marginet, Marta
Castizo-Olier, Jorge
author Stagi, Silvia
author_facet Stagi, Silvia
Irurtia, Alfredo
Rosales Rafel, Quim
Cabras, Stefano
Buffa, Roberto
Carrasco-Marginet, Marta
Castizo-Olier, Jorge
author_role author
author2 Irurtia, Alfredo
Rosales Rafel, Quim
Cabras, Stefano
Buffa, Roberto
Carrasco-Marginet, Marta
Castizo-Olier, Jorge
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Segmental body composition
Bioelectrical impedance vector analysis
BIVA
Phase angle
DXA
topic Segmental body composition
Bioelectrical impedance vector analysis
BIVA
Phase angle
DXA
description Aims: The aim of this study was to analyse the association between specific bioelectric impedance vector analysis (BIVA) and dual-energy X-ray absorptiometry (DXA) to assess segmental body composition using DXA as the reference technique. [...]
publishDate 2021
dc.date.none.fl_str_mv 2021
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12367/2583
url http://hdl.handle.net/20.500.12367/2583
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Clinical Nutrition.2021;40(4):1621-1627
dc.rights.none.fl_str_mv © 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism.
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism.
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 7 p.
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositori Digital del TecnoCampus
instname:TecnoCampus
instname_str TecnoCampus
reponame_str Repositori Digital del TecnoCampus
collection Repositori Digital del TecnoCampus
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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