Multiple logistic regression analysis of the association between childbearing and risk of cataract, with adjustment for the confounding effects of extraneous factors
| Variables in the regression model | Odds ratio (95% CL) | p Value |
|---|---|---|
| Model 1 | ||
| Childbearing (linear term) | 1.2 (1.1 to 1.4) | 0.003 |
| Extraneous variables: | ||
| Age: 40–45 v 35–39 | 3.8 (1.9 to 7.6) | <0.001 |
| Outdoor work | 2.9 (1.6 to 5.4) | 0.001 |
| Body mass Index (linear term) | 0.9 (0.8 to 1.0) | 0.003 |
| Model 2 | ||
| Childbearing: >3 babies | 2.0 (1.2 to 3.3) | 0.012 |
| Extraneous variables: | ||
| Age: 40–45 v 35–39 | 4.0 (2.0 to 8.0) | <0.001 |
| Outdoor work | 2.8 (1.5 to 5.2) | 0.001 |
| Body mass index (linear term) | 0.9 (0.8 to 1.0) | 0.003 |









