ABSTRACT
Introducción: el análisis de la composición corporal (CC) es un elemento esencial en la práctica clínica nutricional. La impedancia bioeléctrica es una de las técnicas más utilizadas para estimar la CC. Se han planteado diversos enfoques para disminuir el margen de error que presenta, asegurando su aplicación en todas las poblaciones. Uno de ellos es el uso de vectores de impedancia, mediante el empleo de elipses de tolerancia. Objetivo: comparar los vectores de la muestra con la población italiana y determinar elipses de tolerancia específicas para población universitaria colombiana. Materiales y métodos: estudio observacional de corte transversal en 608 universitarios. La participación fue a conveniencia y voluntaria, entre febrero de 2022 y marzo de 2023. El software BIVA 2002 fue usado para calcular las elipses de tolerancia y BIVA Confidence para comparar los vectores de las elipses con la población italiana a partir de la prueba T2 de Hotelling, que se consideró significativa con p < 0,05. Resultados: las medidas de R/Hy Xc/H fueron mayores en mujeres (420,75 ± 56,012 Ω/m vs. 308,7508 ± 41,81 Ω/m) y (46,15 ± 5,79 Ω/m vs. 39,44 ± 5,01 Ω/m), respectivamente. Los vectores de impedancia se posicionaron sobre los cuadrantes superiores del gráfico RXc, evidenciando diferencias significativas en la distribución de los vectores de composición entre las muestras. Conclusiones: los vectores de los universitarios colombianos fueron diferentes a la población de referencia, por lo que fue necesario determinar las elipses específicas.(AU)
Introduction: body composition (BC) analysis is an essential element in clinical nutritional practice. Bioelectrical impedance is one of the most widely used techniques for estimating BC. Several approaches have been proposed to reduce the margin of error it presents, ensuring its appli- cation in all populations. One of them is the use of impedance vectors, using tolerance ellipses.Objective: to compare the sample vectors with the Italian population and to determine specific tolerance ellipses for the Colombian university population. Materials and methods: observational cross-sectional study in 608 university students. Participation was at convenience and voluntary, betweenFebruary 2022 and March 2023. BIVA 2002 software was used to calculate the tolerance ellipses and BIVA confi dence to compare the vectorsof the ellipses with the Italian population using Hotellings T2 test, which was considered as significant at p < 0.05. Results: R/H and Xc/H measurements were higher in females (420.75 ± 56.012 Ω/m vs 308.7508 ± 41.81 Ω/m) and (46.15 ± 5.79 Ω/m vs 39.44 ± 5.01 Ω/m), respectively. The impedance vectors were positioned over the upper quadrants of the RXc plot, evidencing significant differences in the distribution of the composition vectors between samples. Conclusions: the vectors of the Colombian university students were different from the reference population, so it was necessary to determinethe specific ellipses.
Subject(s)
Humans , Male , Female , Disease Vectors , Electric Impedance , Anthropometry , Reference Values , Body Composition , Colombia , Nutritional Sciences , Cross-Sectional StudiesABSTRACT
INTRODUCTION: body composition (BC) analysis is an essential element in clinical nutritional practice. Bioelectrical impedance is one of the most widely used techniques for estimating BC. Several approaches have been proposed to reduce the margin of error it presents, ensuring its application in all populations. One of them is the use of impedance vectors, using tolerance ellipses. OBJECTIVE: to compare the sample vectors with the Italian population and to determine specific tolerance ellipses for the Colombian university population. MATERIALS AND METHODS: observational cross-sectional study in 608 university students. Participation was at convenience and voluntary, between February 2022 and March 2023. BIVA 2002 software was used to calculate the tolerance ellipses and BIVA confidence to compare the vectors of the ellipses with the Italian population using Hotelling's T2 test, which was considered as significant at p < 0.05. RESULTS: R/H and Xc/H measurements were higher in females (420.75 ± 56.012 Ω/m vs 308.7508 ± 41.81 Ω/m) and (46.15 ± 5.79 Ω/m vs 39.44 ± 5.01 Ω/m), respectively. The impedance vectors were positioned over the upper quadrants of the RXc plot, evidencing significant differences in the distribution of the composition vectors between samples. CONCLUSIONS: the vectors of the Colombian university students were different from the reference population, so it was necessary to determine the specific ellipses.
