Table 2.
Weighted logistic regression analysis of the association between DI-GM and fracture prevalence (n = 6,318; events = 863).
| Models | Crude model | Model-1 | Model-2 | Model-3 | ||||
|---|---|---|---|---|---|---|---|---|
| OR (95%) | P | OR (95%) | P | OR (95%) | P | OR (95%) | P | |
| Scores | 0.94 (0.88,1.01) | 0.091 | 0.95 (0.91, 0.99) | 0.018 | 0.96 (0.92, 1.00) | 0.039 | 0.96 (0.92, 0.99) | 0.045 |
| Category | ||||||||
| Q1 | Reference | Reference | Reference | Reference | ||||
| Q2 | 0.69 (0.53, 0.90) | 0.007 | 0.98 (0.82, 1.18) | 0.854 | 1.01 (0.83, 1.23) | 0.895 | 1.01 (0.81, 1.25) | 0.951 |
| Q3 | 0.78 (0.60, 1.01) | 0.058 | 0.69 (0.56, 0.86) | 0.001 | 0.70 (0.55, 0.88) | 0.002 | 0.66 (0.51, 0.85) | 0.001 |
| P for trend | 0.052 | 0.003 | 0.008 | 0.006 | ||||
DI-GM tertiles: Q1 [0, 4], Q2 [5, 6], Q3 [7, 13].
Model-1: age, race, marital status.
Model-2: Model-1 + alcohol, smoking, hypertension, diabetes.
Model-3: Model-2 + physical activity, HRT (estrogen), glucocorticoid.