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. Author manuscript; available in PMC: 2015 Jun 19.
Published in final edited form as: Int J Body Compos Res. 2012;10(4):93–100.

Table 2.

Bivariate correlations between covariates and fat masses.

Variable Age gender race Weight Height BMI Waist
Android fat mass (g) 0.272* −0.143 −0.09 0.573* −0.055 0.788* 0.751*
L1-L4 fat mass (g) 0.279* −0.17 −0.1 0.558* −0.071 0.785* 0.754*
MRI VFA (cm2) 0.252* 0.083 −0.124 0.422* −0.045 0.563* 0.579*

Spearman’s correlation coefficients for potential model covariates and fat masses

*

significant at P ≤0.05; Pearson’s r for continuous and Spearman’s rho for categorical variables1

1

Results from bivariate correlations Fischer’s transformation z-test concluded no significant differences in Pearson’s correlation coefficients among male and females; thus, bivariate correlations are reported for the total sample.