TABLE 2.

Organ mass regression models¹

	Regression coefficient
Model and variable	Estimate	SE	P	R2
Model 1: Total OM = age + height + weight + sex				0.69
Intercept	0.927	0.810	0.046
Age	−0.008	0.002	< 0.001
Height	1.05	0.506	0.041
Weight	0.012	0.003	< 0.001
Sex	0.39	0.093	< 0.001
Model 2: Total OM = age + height + weight + sex + race				0.73
Intercept	1.223	0.756	0.109
Age	−0.008	0.001	< 0.001
Height	0.801	0.473	0.094
Weight	0.016	0.003	< 0.001
Sex	0.305	0.089	0.001
Race	−0.251	0.062	< 0.001
Model 3: Total OM = age + fat + FFM + sex				0.69
Intercept	2.122	0.280	< 0.001
Age	−0.007	0.002	< 0.001
Fat	0.008	0.004	0.029
FFM	0.025	0.006	< 0.001
Sex	0.260	0.138	0.063
Model 4: Total OM = age + fat + FFM + sex + race				0.75
Intercept	1.848	0.032	< 0.001
Age	−0.007	0.001	< 0.001
Fat	0.010	0.003	0.004
FFM	0.033	0.005	< 0.001
Sex	0.025	0.132	0.853
Race	−0.301	0.060	< 0.001

¹Total OM, the sum of individual organ (ie, liver, kidney, spleen, heart, and brain) masses by magnetic resonance imaging; FFM, fat-free mass. In the models, sex is represented as women, 0 and men, 1; race is represented as white, 0 and African American, 1. FFM was measured by using dual-energy X-ray absorptiometry.