Applications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes
The study of body composition (BC) allows evaluating nutritional status, optimizing competitive performance, and monitoring the success of training regimens in athletes. Since BC reference techniques are expensive and/or invasive, in practice simpler, less expensive, and safer methods such as anthro...
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2021
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oai:doaj.org-article:9cbc46b95f4749a99a8db2518774820d2021-11-11T14:56:42ZApplications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes10.3390/app112197812076-3417https://doaj.org/article/9cbc46b95f4749a99a8db2518774820d2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9781https://doaj.org/toc/2076-3417The study of body composition (BC) allows evaluating nutritional status, optimizing competitive performance, and monitoring the success of training regimens in athletes. Since BC reference techniques are expensive and/or invasive, in practice simpler, less expensive, and safer methods such as anthropometry are often used. The problem is that anthropometry requires a qualified anthropometrist, a rigorous measurement protocol using validated equipment, and a lengthy procedure because of its limited accuracy. Bioimpedance analysis (BIA) is an indirect method for estimating BC in a simple, fast, inexpensive, noninvasive, accurate, and reproducible manner. Despite the limitations of conventional BIA, it is still the most commonly used method for assessing BC in athletes. However, bioelectrical impedance vector analysis (BIVA) allows qualitative assessment of body cell mass (BCM) and hydration status without the need for biological assumptions and without being subject to conventional BIA errors. The purpose of this article was to demonstrate the uses and applications of BIA in the study of the BC and physical characteristics of athletes. For example, several practical cases of athletes from different sports were compared. The results obtained from somatotype studies, conventional BIA, and BIVA were included. BIVA interpretation and somatotype were consistent for all cases analyzed, but BIVA also provided information about hydration and BCM. The application of BIVA in the assessment of athletes can improve BC studies in sports because it is fast, simple, and reliable and neither imposes two-compartment-model limitations on BC estimation nor requires any biological assumptions.Sandra de la Cruz MarcosMª Paz Redondo del RíoBeatriz de Mateo SillerasMDPI AGarticlesportsbody compositionbioimpedance analysisbioelectrical impedance vector analysisTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9781, p 9781 (2021) |
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sports body composition bioimpedance analysis bioelectrical impedance vector analysis Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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sports body composition bioimpedance analysis bioelectrical impedance vector analysis Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Sandra de la Cruz Marcos Mª Paz Redondo del Río Beatriz de Mateo Silleras Applications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes |
description |
The study of body composition (BC) allows evaluating nutritional status, optimizing competitive performance, and monitoring the success of training regimens in athletes. Since BC reference techniques are expensive and/or invasive, in practice simpler, less expensive, and safer methods such as anthropometry are often used. The problem is that anthropometry requires a qualified anthropometrist, a rigorous measurement protocol using validated equipment, and a lengthy procedure because of its limited accuracy. Bioimpedance analysis (BIA) is an indirect method for estimating BC in a simple, fast, inexpensive, noninvasive, accurate, and reproducible manner. Despite the limitations of conventional BIA, it is still the most commonly used method for assessing BC in athletes. However, bioelectrical impedance vector analysis (BIVA) allows qualitative assessment of body cell mass (BCM) and hydration status without the need for biological assumptions and without being subject to conventional BIA errors. The purpose of this article was to demonstrate the uses and applications of BIA in the study of the BC and physical characteristics of athletes. For example, several practical cases of athletes from different sports were compared. The results obtained from somatotype studies, conventional BIA, and BIVA were included. BIVA interpretation and somatotype were consistent for all cases analyzed, but BIVA also provided information about hydration and BCM. The application of BIVA in the assessment of athletes can improve BC studies in sports because it is fast, simple, and reliable and neither imposes two-compartment-model limitations on BC estimation nor requires any biological assumptions. |
format |
article |
author |
Sandra de la Cruz Marcos Mª Paz Redondo del Río Beatriz de Mateo Silleras |
author_facet |
Sandra de la Cruz Marcos Mª Paz Redondo del Río Beatriz de Mateo Silleras |
author_sort |
Sandra de la Cruz Marcos |
title |
Applications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes |
title_short |
Applications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes |
title_full |
Applications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes |
title_fullStr |
Applications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes |
title_full_unstemmed |
Applications of Bioelectrical Impedance Vector Analysis (BIVA) in the Study of Body Composition in Athletes |
title_sort |
applications of bioelectrical impedance vector analysis (biva) in the study of body composition in athletes |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/9cbc46b95f4749a99a8db2518774820d |
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