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. Author manuscript; available in PMC: 2014 Aug 14.
Published in final edited form as: Bone. 2009 Oct 22;46(1):208–216. doi: 10.1016/j.bone.2009.10.017

Table 3.

Sex-specific multilevel regression models for bone mineral content of the (a) Whole Body, (b) Total Proximal Femur, (c) Femoral Neck and (d) Lumbar Spine in males

Variables (a) Whole Body (b) Total Proximal Femur (c) Femoral Neck (d) Lumbar Spine
Fixed Effect Estimates Estimates Estimates Estimates
Constant −1271.18(223.45) −38.41(5.69) −4.19(0.30) −108.41(3.92)
Agec −554.33(38.65) −10.56(0.94) −0.98(0.10) −33.73(1.36)
Agec2 −9.39(1.02) −0.23(0.02) −0.02(0.003) −0.54(0.04)
Agec3 0.44(0.12) 0.003(0.003) 0.00001(0.0004) 0.04(0.005)
Height 14.28(1.46) 0.37(0.04) 0.05(0.002) 0.90(0.03)
Weight 31.06(4.39) 0.58(0.11) 0.01(0.002) 0.04(0.02)
Agec*Height 3.69(0.24) 0.07(0.006) 0.006(0.0006) 0.21(0.008)
Agec*Weight NS NS 0.001(0.0005) NS
Weight by Height −31.83(6.82) −0.72(0.17) NS NS
White vs Asian −31.36(9.97) −0.70(0.22) −0.22(0.03) NS
White vs Hispanic −75.49(28.21) 1.57(0.65) 0.29(0.09) NS
White vs Black 82.81(26.26) 4.20(0.58) 0.63(0.08) NS
Random Effects Level 1 Level 1 Level 1 Level 1
Constant 2640.6(132.36) 2.90(0.14) 0.03(0.001) 2.84(0.17)
Level 2 Level 2 Level 2 Level 2
Constant Agec Constant Agec Constant Agec Constant Agec
Constant 23594.47(1542.09) 3938.13(370.75) 14.320(0.95) 2.656(0.23) 0.206(0.01) 0.03(0.002) 39.29(2.97) 9016(0.86)
Agec 3938.13(370.75) 1264.66(124.50) 2.656(0.23) 0.560(0.07) 0.028(0.002) 0.007(0.010) 9.16(0.86) 2.979(0.29)

Fixed effect values are Estimated Mean Coefficients (SEE - Standard Error Estimate); Random effects values Estimated Mean Variance (SEE). Level 1 – within individuals; Level 2 – between individuals. Agec – Age centred (Age – 13 years); Agec2 – Age centred squared; Agec3 - Age centred cubed; Height (cm); Weight (kg); Agec*Height – Agec multiplied by height; Agec*Weight – Agec multiplied by weight; Weight by height − Weight/height*100; White vs Asian - White 0, Asian = 1; White vs Hispanic - White 0, Hispanic = 1; White vs Black - White 0, Black = 1; P< 0.05 (mean > 2*SEE). NS = not significant and removed from the model.