RT Journal Article
T1 Development and validation of new bioelectrical impedance equations to accurately estimate fat mass percentage in a heterogeneous Caucasian population
A1 Rojano Ortega, Daniel
A1 Moya Amaya, Heliodoro
A1 Berral Aguilar, Antonio J.
A1 Baratto, Paolo
A1 Molina López, Antonio
A1 Berral de la Rosa, Francisco José
K1 Health
K1 Body composition
K1 X-ray absorptiometry
K1 Fat mass
K1 Bioelectrical impedance
K1 Obesity
AB Fat mass percentage (%FM) is frequently determined by nutritionists and personal trainers with bioelectrical impedance analysis (BIA) devices. The aims of the present study were: (1) to develop new regression equations using dual-energy X-ray absorptiometry (DXA) as the reference method for estimating %FM in a heterogeneous Caucasian population with a hand-to-hand device (BIA-101) and a foot-to-hand device (BIA-TELELAB) and (2) to compare the new equations with the manufacturers’ equations. We hypothesized that the new equa- tions would lead to more accurate estimations compared with DXA. A total of 218 healthy Caucasian participants aged 18 to 65 years were divided into a development group and a val- idation group. The accuracy of the different equations was assessed by mean differences, coefficient of determination, standard error of the estimate (SEE), intraclass correlation co- efficients (ICC), and Bland–Altman plots. The proposed equation for BIA-101 explained 90.0% of the variance in the DXA-derived %FM, with a low random error (SEE = 2.98%), excellent agreement (ICC = 0.94), no fixed bias, and relatively low individual variability (5.86%). For BIA-TELELAB, the proposed equation explained 88.0% of the variance in the DXA-derived %FM, with a low random error (SEE = 3.27%), excellent agreement (ICC = 0.93), no fixed bias, and relatively low individual variability (6.37%). The results obtained for the manufactur- ers’ equations confirm that these equations are not a good option for %FM assessment. As hypothesized, the new regression equations for BIA-101 and BIA-TELELAB devices can ac- curately estimate %FM in a heterogeneous Caucasian population with a broad age range.
PB Elsevier
YR 2024
FD 2024
LK https://hdl.handle.net/10433/21250
UL https://hdl.handle.net/10433/21250
LA en
NO Departamento de Deporte e Informática. Universidad Pablo de Olavide.
DS RIO
RD May 9, 2026