RT info:eu-repo/semantics/article
T1 Applications of bioelectrical impedance vector analysis (BIVA) in the study of body composition in athletes
A1 Cruz Marcos, Sandra de la
A1 Redondo del Río, María Paz
A1 Mateo Silleras, Beatriz de
K1 Nutrición
K1 Antropometría
K1 Sports
K1 Body composition
K1 Bioimpedance analysis
K1 Deportes
K1 Composición corporal
K1 Análisis de bioimpedancia
K1 3206 Ciencias de la Nutrición
AB 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.
PB MDPI
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/59454
UL https://uvadoc.uva.es/handle/10324/59454
LA eng
NO Applied Sciences, 2021, vol. 11, n. 21, 9781
NO Producción Científica
DS UVaDOC
RD 18-nov-2024