Clin Physiol Funct Imaging. 2021 Mar 22. doi: 10.1111/cpf.12700. Online ahead of print.
ABSTRACT
BACKGROUND: 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.
OBJECTIVES: 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).
SUBJECTS/METHODS: Eighty-two healthy (32% men) normal weight (BMI: 18.5 – 24.9 kg/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.
RESULTS: For the total sample, prediction error was the highest for %fat (TE=4.2 %; SEE=3.9 %) followed by FM (TE=2.4 kg; SEE=2.2 kg) and FFM (TE=2.4 kg; SEE=2.2 kg). In men, %fat (TE=2.5 %; SEE=2.2 %) and FM (TE=1.9 kg; SEE=1.6 kg) were ideal; FFM was similar to FM (TE=1.9 kg; SEE=1.6 kg). In women, %fat (TE=4.7 %; SEE=4.4 %) ranged from good to fairly good, and FM was very good to excellent (TE=2.6 kg; SEE=2.4 kg); FFM was similar to FM (TE=2.6 kg; SEE=2.3 kg).
CONCLUSIONS: 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.
PMID:33752260 | DOI:10.1111/cpf.12700
