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

Nutrition & Metabolism

Table 3 Predicting the Logarithm of Bone Mineral Content [Log(BMC)] from the Logarithm of Skeletal Muscle Mass from MRI [Log(SMM_MRI)] Adjusting for Sex, Age, the Logarithm of Adipose Tissue [Log(AT_MRI)], Ethnicity, and Height.

	β	SE_β	SPCC²_β†	P_β	Model R²	SE	p model*
Sex	0.185	0.052	0.002	<0.001
Age	0.008	0.004	0.001	= 0.033
Log(AT _MRI )	0.117	0.019	0.007	<0.001
Log(SMM _MRI )	0.542	0.046	0.024	<0.001
Hispanic*	0.038	0.013	0.002	= 0.004
Height	0.007	0.001	0.006	<0.001
*Interaction (sexlog(AT** _MRI ))	-0.087	0.021	0.003	<0.001
Model Intercept	-2.410	0.096		<0.001	0.970	0.079	<.0001

* The statistical significance of each variable in the model is indicated in the column headed "p". The model coefficient for each variable and the model intercept is identified as β and the standard error of each coefficient as SE_β. The abbreviation "AT_MRI" refers to adipose tissue estimated by whole body magnetic resonance imaging (MRI). † 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