. Author manuscript; available in PMC: 2007 May 14.

Published in final edited form as: J Clin Endocrinol Metab. 2007 Feb 13;92(5):1640–1646. doi: 10.1210/jc.2006-0572

Table 2.

The independent contribution of each confounding variable to bone mass or obesity-related phenotypes by multivariate linear regression analysis

Chinese:
	Standardized regression coefficient
	Age (year)	Sex	Height (m)	Exercise	Smoking
Fat mass (kg)	0.242^***	0.491^***	0.195^***	0.028	0.028
Lean mass (kg)	0.088^***	−0.517^***	0.455^***	0	−0.007
Percentage fat mass (%)	0.160^***	0.677^***	−0.034^***	0.018	0.029
Lumbar spine BMD (g/cm²)	0.053^*	0.071^*	0.320^***	0.019	−0.050^*
Femoral neck BMD (g/cm²)	−0.073	−0.230^***	0.254^***	0.024	−0.029
Total body BMC (kg)	0.014	−0.087^**	0.430^***	0.030^*	−0.011
Caucasians:
	Standardized regression coefficient
	Age (year)	Sex	Height (m)	Exercise	Smoking	Menopause status
Fat mass (kg)	0.062	0.460^***	0.285^***	−0.219^***	0.004	−0.027
Lean mass (kg)	−0.086^***	−0.460^***	0.446^***	−0.067^**	−0.013	−0.004
Percentage fat mass (%)	0.124^***	0.691^***	−0.005	−0.147^***	0.006	0.007
Lumbar spine BMD (g/cm²)	−0.01	0.164^***	0.206^***	0.041^*	0.055^*	−0.325^***
Femoral neck BMD (g/cm²)	−0.290^***	0.026	0.251^***	0.026	0.04	−0.147^*
Total body BMC (kg)	−0.118^***	−0.164^**	0.511^***	0.046^*	0.022	−0.137^**

Note: p < 0.05,

^**

p < 0.01,

^***

p < 0.001