Table 2.
Multiple linear regression results for data from men and women combined, including coefficients of standardized variables, standard errors in parentheses, and p-values in italics. FStance, FFall, aBMD, age, height, and weight were standardized by subtracting the mean and dividing by the standard deviation of the pooled data.a Fx=Fracture Status=1 for fracture subjects, 0 for control subjects. Sex = 1 for men, 0 for women. NA=Not applicable (variable was not part of the analysis). “–” indicates that the variable was not included in the model because the p-value would have been greater than 0.10.
| Dependent Variable | Regression Coefficients for Standardized Variables (Standard Error) p value |
R2 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fx | Sex | Age | Weight | Height | aBMD | Fx:Age | Fx:aBMD | Fx:Sex | Sex:aBMD | Intercept | ||
| Without Adjustment for aBMD | ||||||||||||
| FStance | −0.337 (0.104) | 0.667 (0.143) | −0.186 (0.050) | 0.320 (0.049) | 0.137 (0.074) | NA | 0.135 (0.079) | NA | −0.485 (0.165) | NA | −0.092 (0.073) | 0.51 |
| 0.001 | <0.001 | <0.001 | <0.001 | 0.063 | 0.090 | 0.004 | 0.21 | |||||
| FFall | −0.323 (0.117) | 0.748 (0.114) | −0.119 (0.044) | 0.308 (0.049) | – | NA | – | NA | −0.398 (0.185) | NA | −0.137 (0.068) | 0.37 |
| 0.006 | <0.001 | 0.007 | <0.001 | 0.033 | 0.044 | |||||||
| With Adjustment for aBMD | ||||||||||||
| FStance | −0.034 (0.065) | 0.182 (0.085) | – | 0.067 (0.032) | 0.120 (0.044) | 0.738 (0.030) | – | – | −0.253 (0.102) | – | −0.037 (0.044) | 0.81 |
| 0.61 | 0.033 | 0.037 | 0.006 | <0.001 | 0.014 | 0.40 | ||||||
| FFall | – | 0.130 (0.061) | – | – | – | 0.749 (0.039) | – | – | – | 0.164 (0.059) | −0.092 (0.036) | 0.76 |
| 0.033 | <0.001 | 0.005 | 0.012 | |||||||||
Means and standard deviations for each variable (mean±SD): FStance=7982±2887 N; FFall=1216±596 N; aBMD=0.725±0.174 g/cm2; age=79.5±5.6 years; height=165.4±9.7 cm; weight=72.7±16.0 kg