Objectives: This study aimed to test whether athlete-specific, bioelectrical, impedance-based equations to estimate fat-free mass (FFM) could be more accurate than generalized equations when testing resistance -trained exercisers. Methods: A total of 50 resistance-trained men (age 30.9 +/- 7.4 y bod mass index: 25.3 +/- 2.2 kg/m2) and 20 men from the general population (age 29.9 +/- 9.1 y; body mass index: 22.8 +/- 2.4 kg/m2) underwent bioelectrical impedance and dual-energy x-ray absorptiometry (DXA) evaluations. FFM was derived by one bioelectrical impedance-based equation specific for athletes and three generalized equations, all developed with foot-to -hand bioimpedance technologies at a 50 kHz frequency. DXA was the reference method for the FFM assessment. Results: Compared with DXA, when assessing the resistance-trained participants, the athletic-specific equation had neither mean (-0.89 kg; P = 0.789) or proportional bias (r =-0.104; P = 0.474) with a coefficient of determination equal to R2 = 0.91. In contrast, the three generalized predictive equations overestimated FFM (range, 4.11-5.37 kg; P < 0.05) with R2 ranging from 0.84 to 0.90. The athletic-specific equation underesti-mated FFM in the general populationparticipants (-2.93 kg; P < 0.05). Conclusions: When assessing body composition in resistance-trained exercisers, specific equations for ath-letes should be preferred to generalized ones to avoid an overestimation in FFM. Furthermore, athlete -spe-cific and generalized formulas cannot be used interchangeably, even when assessing body composition in the general population.(c) 2022 Elsevier Inc. All rights reserved.

Comparison of generalized and athletic bioimpedance-based predictive equations for estimating fat-free mass in resistance-trained exercisers

Campa, Francesco;
2022

Abstract

Objectives: This study aimed to test whether athlete-specific, bioelectrical, impedance-based equations to estimate fat-free mass (FFM) could be more accurate than generalized equations when testing resistance -trained exercisers. Methods: A total of 50 resistance-trained men (age 30.9 +/- 7.4 y bod mass index: 25.3 +/- 2.2 kg/m2) and 20 men from the general population (age 29.9 +/- 9.1 y; body mass index: 22.8 +/- 2.4 kg/m2) underwent bioelectrical impedance and dual-energy x-ray absorptiometry (DXA) evaluations. FFM was derived by one bioelectrical impedance-based equation specific for athletes and three generalized equations, all developed with foot-to -hand bioimpedance technologies at a 50 kHz frequency. DXA was the reference method for the FFM assessment. Results: Compared with DXA, when assessing the resistance-trained participants, the athletic-specific equation had neither mean (-0.89 kg; P = 0.789) or proportional bias (r =-0.104; P = 0.474) with a coefficient of determination equal to R2 = 0.91. In contrast, the three generalized predictive equations overestimated FFM (range, 4.11-5.37 kg; P < 0.05) with R2 ranging from 0.84 to 0.90. The athletic-specific equation underesti-mated FFM in the general populationparticipants (-2.93 kg; P < 0.05). Conclusions: When assessing body composition in resistance-trained exercisers, specific equations for ath-letes should be preferred to generalized ones to avoid an overestimation in FFM. Furthermore, athlete -spe-cific and generalized formulas cannot be used interchangeably, even when assessing body composition in the general population.(c) 2022 Elsevier Inc. All rights reserved.
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3464115
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