Erratum to: Physiological models of body composition and human obesity

Nutrition & Metabolism

Table 9 Prediction of fat fraction from body density for Caucasian + Black + Hispanic subjects.

Subjects	a	b	f₀	f₁	d₀	d₁	MSRls	MSRsiri1	MSRsiri2	MSRbro
Male: 18 – 89	4.63	4.208	0.129	0.647	1.0678	0.954	.000481	.000693	.000711	0.000553
Male: 18 – 31	4.912	4.475	0.118	0.706	1.0695	0.948	.000402	.000536	.000597	0.000532
Male: 32 – 50	4.559	4.141	0.153	0.619	1.061	0.958	.000457	.000723	.000614	.000562
Male: 51 – 89	4.231	3.821	0.167	0.661	1.0612	0.944	.000516	.000853	.000957	.000568
Female: 18 – 90	4.673	4.239	0.220	0.745	1.048	0.9376	.000640	.000813	.00202	.000662
Female: 18 – 31	4.779	4.339	0.214	0.774	1.050	.935	.000616	.00066	.00178	.000661
Female: 32 – 50	4.785	4.347	0.208	0.737	1.050	.941	.000538	.000653	.00191	.000576
Female: 51 – 90	4.606	4.175	0.249	0.682	1.041	.948	.000722	.00102	.00223	.000732

The parameters a and b are the optimal least square values (fat fraction = a/density – b), and f0 and f1 are the fat fractions used for the determination of d0 and d1 from the values of a and b. The mean square residual error for the least square fit (MSRls), the Siri Model I (MSRsiri1, eq. (13)) and Model II (MSRsiri2, eq. (14)) and the Brozek model (MSRbro, eq. (10)) are also listed.

ISSN: 1743-7075