Table 6

Multiple linear stepwise regression analysis with FLFC as the dependent variable
Regression coefficient Model
β p value R2 p
Model 1 0.600 <0.001
CSAIT 0.776 <0.001
Model 2 0.630 <0.001
CSAIT 0.812 <0.001
Age −0.148 <0.01
Weight −0.132 <0.05
Model 3 0.644 <0.001
CSAIT 0.415 <0.001
CSANN 0.261 <0.001
SMIT 0.222 <0.01
Model 4 0.678 <0.001
CSAIT 0.406 <0.001
Total hip BMD 0.428 <0.001
SMNN 0.173 <0.001
Weight −0.149 <0.01

β: standardized regression coefficient, R2: adjusted R2.

Independent variables included in each model are DXA-HSA indices (CSANN, CThNN, SMNN, BRNN, CSAIT, CThIT, SMIT, and BRIT) in model 1; DXA-HSA indices and total hip BMD, height, weight, and age in model 2; CT-HSA indices (CSANN, CThNN, SMNN, BRNN, CSAIT, CThIT, SMIT, and BRIT ) in model 3; CT-HSA indices, total hip BMD, height, weight, and age in model 4.

CSA: bone cross-sectional area, SM: section modulus, CTh: average cortical thickness, BR: buckling ratio, NN: narrow neck region, IT intertrochanteric region, FL: fracture load, SC: stance configuration, FC: fall configuration.

Ohnaru et al.

Ohnaru et al. SpringerPlus 2013 2:331   doi:10.1186/2193-1801-2-331

Open Data