Journal of Obesity / 2013 / Article / Tab 1 / Research Article
BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance Table 1 Anthropometry- and bioimpedance-analysis- (BIA-) based estimates of fat mass percentage (FM%) and their respective bias versus DXA measurements.
Predictor Equation for estimating FM% Men Women Combined
Mean biasa SD
Mean biasa SD
Mean biasa (
) Larsson et al. [14 ] Women: FM% = (−24.18 + 1.181 * weight/height)/weight Men: FM% = (−30.84 + 1.120 * weight/height)/weight 205 −1.3 4.7 388 0.1 4.1 593 −0.6 (
) Gallagher et al. [15 ] FM% = 64.5 – 848 * (1/BMI) + 0.079 * age −16.4 * sexb − 0.05 * sexb * age + 39.0 * sexb * (1/BMI) 205 −2.4 4.6 388 −1.0 4.1 593 −1.7 (
) Deurenberg et al. [12 ] FM% = 1.2*BMI + 0.23*age −10.8*sexb − 5.4 205 1.7 4.9 388 2.3 4.8 593 2.0 (
) Tanita BC 418 MA bioimpedance-based proprietary algorithm 82 −4.8 3.9 58 −3.6 3.2 140 −4.2 (
) InBody (720) bioimpedance-based proprietary algorithm 181 −4.6 3.4 273 −4.7 3.0 454 −4.6 (
) Mills [13 ] Women: FM% = (−2.28 + 1.268 (weight/height) + 0.058 * age)/weight Men: FM% = (−7.99 + 1.286 (weight/height) + 0.018 * age)/weight 205 −11.7 5.3 388 −1.6 4.2 593 −6.7 (
) Deurenberg et al. [16 ] FM% = −11.4 * sexb + 0.2 * age + 1.294 * BMI − 8 205 5.0 6.4 388 16.5 8.9 593 10.8 (
) FM%-equation Arithmetic mean of equations (
)–(
) 205 −0.7 4.6 388 0.5 4.2 593 −0.1
fat mass percentage.
male: 1, female: 0.