Greater lean tissue and skeletal muscle mass are associated with higher bone mineral content in children

Nutrition & Metabolism

Table 5 Comparison of predictors of the Logarithm of Bone Mineral Content [Log(BMC)]: Log(SMM _DXA), Log(SMM_MRI), and SMM_MRI • nbLBM^-1

Variables for Fat Mass and Either Lean Body Mass or Skeletal Muscle Mass Included in the Model*	β	SE_β	SPCC²_β†	P_β	Model R²	SE	p model
Model 1:					0.970	0.079	<.0001
AT _MRI	0.117	0.019	0.007	<0.001
SMM _MRI	0.542	0.046	0.024	<0.001
Model 2:					0.968	0.080	<0.0001
FM _DXA	0.124	0.015	0.013	<0.001
nbLBM	0.796	0.070	0.024	<0.001
Model 3:					0.966	0.084	<0.0001
FM _DXA	0.101	0.016	0.008	<0.001
SMM _DXA	0.530	0.053	0.021	<0.001
Model 4					0.960	0.092	<0.0001
AT _MRI	0.125	0.022	0.008	<0.001
SMM _MRI •nbLBM ^-1	0.839	0.111	0.014	<0.001
Model 5:					0.971	0.078	<0.0001
AT _MRI	0.121	0.019	0.007	<0.001
SMM _MRI •nbLBM ^-1	0.986	0.247	0.003	<0.001
nbLBM	0.607	0.081	0.010	<0.001
Model 6:					0.969	0.081	<0.0001
AT _MRI	0.133	0.020	0.009	<0.001
SMM _DXA •nbLBM ^-1	0.198	0.093	0.001	0.035
nbLBM	0.746	0.072	0.020	<0.001

*All models are adjusted for age, gender, height, Latino ethnicity, and the interaction between fat mass and gender. ^†The squared semi-partial correlation coefficient (SPCC²) represents the total variation in the dependent variable after the independent variable is controlled for all other variables in the model. It was estimated in SAS (Cary, NC) for each independent variable in the model using the "scorr2" command.

ISSN: 1743-7075