Table 1.
Predictor | Equation for estimating FM% | Men | Women | Combined | |||||
---|---|---|---|---|---|---|---|---|---|
n | Mean biasa | SD | n | Mean biasa | SD | n | Mean biasa | ||
(1) 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 |
(2) 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 |
(3) 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 |
(4) Tanita BC 418 MA | bioimpedance-based proprietary algorithm | 82 | −4.8 | 3.9 | 58 | −3.6 | 3.2 | 140 | −4.2 |
(5) InBody (720) | bioimpedance-based proprietary algorithm | 181 | −4.6 | 3.4 | 273 | −4.7 | 3.0 | 454 | −4.6 |
(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 |
(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 |
(8) FM%-equation | Arithmetic mean of equations (1)–(3) | 205 | −0.7 | 4.6 | 388 | 0.5 | 4.2 | 593 | −0.1 |
afat mass percentage.
bmale: 1, female: 0.