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Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study
INTRODUCTION: Body composition assessment in cervical spinal cord injury (c-SCI) individuals is important to monitor the fat free-mass (FFM) loss, due to immobilization, or gain, due to exercise practice. Single frequency bioelectrical impedance analysis (SF-BIA) is low in cost, simple and easy. OBJ...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376375/ https://www.ncbi.nlm.nih.gov/pubmed/35978958 http://dx.doi.org/10.3389/fnut.2022.935128 |
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author | Bauermann, Andreia Costa e Silva, Anselmo de Athayde Figueiredo, Flávia Koury, Josely Correa |
author_facet | Bauermann, Andreia Costa e Silva, Anselmo de Athayde Figueiredo, Flávia Koury, Josely Correa |
author_sort | Bauermann, Andreia |
collection | PubMed |
description | INTRODUCTION: Body composition assessment in cervical spinal cord injury (c-SCI) individuals is important to monitor the fat free-mass (FFM) loss, due to immobilization, or gain, due to exercise practice. Single frequency bioelectrical impedance analysis (SF-BIA) is low in cost, simple and easy. OBJECTIVES: The aims of this study are: to evaluate the concordance between the FFM values obtained using dual X-ray absorptiometry (DXA) and the three SF-BIA previous predictive equations; and to test the applicability of the bioelectrical impedance vector analysis (BIVA). METHODS: Twenty-three c-SCI males were divided into two groups: Physically active (PA; n = 13; at least 150 min/week) and non-active individuals (NPA) and were assessed by DXA and SF-BIA simultaneously. RESULTS: FFM values were similar between groups PA and NPA. Considering all participants, FFM values obtained by Kocina and Heyward (>11%) and Sun (<15.4%) predictive equations were different when compared to DXA (p < 0.01). However, Buchholz's et al. predictive equation showed FFM values similar to DXA, but presented poor concordance (<7%, p = 0.99; concordance coefficient = 0.85). BIVA showed consistency in ellipse distribution using FFM obtained using Buchholz et al. predictive equation. CONCLUSIONS: The use of non-specific BIA equations can lead to misinterpretation in FFM values in male c-SCI individuals. Predictive equations for this group need to be developed. |
format | Online Article Text |
id | pubmed-9376375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93763752022-08-16 Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study Bauermann, Andreia Costa e Silva, Anselmo de Athayde Figueiredo, Flávia Koury, Josely Correa Front Nutr Nutrition INTRODUCTION: Body composition assessment in cervical spinal cord injury (c-SCI) individuals is important to monitor the fat free-mass (FFM) loss, due to immobilization, or gain, due to exercise practice. Single frequency bioelectrical impedance analysis (SF-BIA) is low in cost, simple and easy. OBJECTIVES: The aims of this study are: to evaluate the concordance between the FFM values obtained using dual X-ray absorptiometry (DXA) and the three SF-BIA previous predictive equations; and to test the applicability of the bioelectrical impedance vector analysis (BIVA). METHODS: Twenty-three c-SCI males were divided into two groups: Physically active (PA; n = 13; at least 150 min/week) and non-active individuals (NPA) and were assessed by DXA and SF-BIA simultaneously. RESULTS: FFM values were similar between groups PA and NPA. Considering all participants, FFM values obtained by Kocina and Heyward (>11%) and Sun (<15.4%) predictive equations were different when compared to DXA (p < 0.01). However, Buchholz's et al. predictive equation showed FFM values similar to DXA, but presented poor concordance (<7%, p = 0.99; concordance coefficient = 0.85). BIVA showed consistency in ellipse distribution using FFM obtained using Buchholz et al. predictive equation. CONCLUSIONS: The use of non-specific BIA equations can lead to misinterpretation in FFM values in male c-SCI individuals. Predictive equations for this group need to be developed. Frontiers Media S.A. 2022-08-01 /pmc/articles/PMC9376375/ /pubmed/35978958 http://dx.doi.org/10.3389/fnut.2022.935128 Text en Copyright © 2022 Bauermann, Costa e Silva, Figueiredo and Koury. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Bauermann, Andreia Costa e Silva, Anselmo de Athayde Figueiredo, Flávia Koury, Josely Correa Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study |
title | Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study |
title_full | Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study |
title_fullStr | Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study |
title_full_unstemmed | Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study |
title_short | Bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: A pilot study |
title_sort | bioelectrical impedance vector analysis and body composition in cervical spinal cord injury: a pilot study |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376375/ https://www.ncbi.nlm.nih.gov/pubmed/35978958 http://dx.doi.org/10.3389/fnut.2022.935128 |
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