Abstract

Multi-frequency bioelectrical impedance analysis (MF-BIA) offers enhanced body composition outcomes in a time-efficient manner. The accuracy of stand-up MF-BIA compared against a four-compartment (4C) criterion lacks evidence. To validate a stand-up MF-BIA compared to a 4C criterion for fat mass (FM), fat-free mass (FFM) and body fat percentage (%fat). Eighty-two healthy (32% men) normal-weight (BMI: 18.5-24.9kg/m2 ) young adults were measured for body composition determined from a stand-up MF-BIA and 4C model. Validity statistics included total error (TE) and standard error of the estimate (SEE) to examine prediction error between methods. For the total sample, prediction error was the highest for %fat (TE=4.2%; SEE=3.9%) followed by FM (TE=2.4kg; SEE=2.2kg) and FFM (TE=2.4kg; SEE=2.2kg). In men, %fat (TE=2.5%; SEE=2.2%) and FM (TE=1.9kg; SEE=1.6kg) were ideal; FFM was similar to FM (TE=1.9kg; SEE=1.6kg). In women, %fat (TE=4.7%; SEE=4.4%) ranged from good to fairly good, and FM was very good to excellent (TE=2.6kg; SEE=2.4kg); FFM was similar to FM (TE=2.6kg; SEE=2.3kg). Stand-up MF-BIA may overestimate %fat and FM, and underestimate FFM compared to a 4C model. FM and FFM estimates from MF-BIA demonstrate good agreement to a 4C model and may be a practical measure of body composition in normal-weight adults. The highest error was seen in %fat for both sexes, with greater error in women.

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