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Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults
The aim of this study was to investigate the relationship between phase angle (PhA) and physical function in institutionalized, independent older adults. Physical function was evaluated using the Senior Fitness Test Battery. PhA was measured by electrical bioimpedance at 50 khz, and body composition...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654623/ https://www.ncbi.nlm.nih.gov/pubmed/36361495 http://dx.doi.org/10.3390/ijerph192114615 |
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author | Morais, Ana Ferreira, Soraia Martins, Alexandre Duarte Tomas-Carus, Pablo Marmeleira, José Parraca, Jose A. |
author_facet | Morais, Ana Ferreira, Soraia Martins, Alexandre Duarte Tomas-Carus, Pablo Marmeleira, José Parraca, Jose A. |
author_sort | Morais, Ana |
collection | PubMed |
description | The aim of this study was to investigate the relationship between phase angle (PhA) and physical function in institutionalized, independent older adults. Physical function was evaluated using the Senior Fitness Test Battery. PhA was measured by electrical bioimpedance at 50 khz, and body composition parameters were also registered. Results showed that PhA significantly correlated with all physical fitness tests, except for arm curls. Regarding the results of the multivariate analysis, three models were created: Model 1, formed by a dependent variable “PhA” and two predictor variables “8 ft up-and-go” and “6 min walk”; Model 2, formed by a dependent variable “PhA” and three predictor variables “8 ft up-and-go”, “6 min walk” and “30-s chair stand”; and Model 3, formed by a dependent variable “PhA” and four predictor variables “8 ft up-and-go”, “6 min walk”, “30-s chair stand” and “arm curl”. Results showed that predictor variables had a significant influence on the PhA for all three models (Model 1: p = 0.001, 12.5%; Model 2: p = 0.002, 12.9%; and Model 3: p = 0.005, 13.1%). For women, Model 1 showed a significant influence of predictor variables on the PhA (p = 0.030, 9.3%). The results for men in Models 1, 2 and 3 showed significant influences on the PhA (p = 0.002, 31.2%; p = 0.006, 31.6%; and p = 0.016, 31.6%; respectively). This study confirmed previous studies regarding to the relationship between PhA and physical function. It also indicates that PhA could be an excellent predictor of physical function. |
format | Online Article Text |
id | pubmed-9654623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96546232022-11-15 Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults Morais, Ana Ferreira, Soraia Martins, Alexandre Duarte Tomas-Carus, Pablo Marmeleira, José Parraca, Jose A. Int J Environ Res Public Health Article The aim of this study was to investigate the relationship between phase angle (PhA) and physical function in institutionalized, independent older adults. Physical function was evaluated using the Senior Fitness Test Battery. PhA was measured by electrical bioimpedance at 50 khz, and body composition parameters were also registered. Results showed that PhA significantly correlated with all physical fitness tests, except for arm curls. Regarding the results of the multivariate analysis, three models were created: Model 1, formed by a dependent variable “PhA” and two predictor variables “8 ft up-and-go” and “6 min walk”; Model 2, formed by a dependent variable “PhA” and three predictor variables “8 ft up-and-go”, “6 min walk” and “30-s chair stand”; and Model 3, formed by a dependent variable “PhA” and four predictor variables “8 ft up-and-go”, “6 min walk”, “30-s chair stand” and “arm curl”. Results showed that predictor variables had a significant influence on the PhA for all three models (Model 1: p = 0.001, 12.5%; Model 2: p = 0.002, 12.9%; and Model 3: p = 0.005, 13.1%). For women, Model 1 showed a significant influence of predictor variables on the PhA (p = 0.030, 9.3%). The results for men in Models 1, 2 and 3 showed significant influences on the PhA (p = 0.002, 31.2%; p = 0.006, 31.6%; and p = 0.016, 31.6%; respectively). This study confirmed previous studies regarding to the relationship between PhA and physical function. It also indicates that PhA could be an excellent predictor of physical function. MDPI 2022-11-07 /pmc/articles/PMC9654623/ /pubmed/36361495 http://dx.doi.org/10.3390/ijerph192114615 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Morais, Ana Ferreira, Soraia Martins, Alexandre Duarte Tomas-Carus, Pablo Marmeleira, José Parraca, Jose A. Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults |
title | Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults |
title_full | Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults |
title_fullStr | Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults |
title_full_unstemmed | Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults |
title_short | Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults |
title_sort | phase angle as a predictor for physical function in institutionalized independent older adults |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654623/ https://www.ncbi.nlm.nih.gov/pubmed/36361495 http://dx.doi.org/10.3390/ijerph192114615 |
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