Table 4.
Predictors of osteoporosis based on multivariate logistic regression (comparison of osteoporosis with normal group)
| Variable | Adjusted odds ratio (95% confidence interval) | P* |
|---|---|---|
| Age | 1.18 (1.07-1.30) | <0.001 |
| Menopause age | 0.92 (0.85-1.01) | 0.071 |
| Body mass index | 0.87 (0.78-0.97) | 0.010 |
| Arm circumference | 0.84 (0.74-0.95) | 0.005 |
| Education level (academic:reference) | 0.028 | |
| Illiterate | 3.73 (0.71-19.52) | 0.119 |
| Primary school | 3.23 (0.66-15.76) | 0.147 |
| Secondary school | 2.42 (0.41-14.22) | 0.327 |
| High school/diploma | 0.74 (0.13-4.14) | 0.730 |
| Housing status (personal: reference) | 4.02 (1.24-13.07) | 0.021 |
| Marital status (married: reference) | 2.65 (0.99-7.08) | 0.051 |
Multivariate logistic regression test: Hosmer and Lemeshow P=0.13, χ2=12.97, df=8. All variables in this table remained as predictors in the last stage of backward strategy.