Table 3.
Model 1 | Model 2 | Model 3 | |
---|---|---|---|
OR (95%) | OR (95%) | OR (95%) | |
Stratified by gendera | |||
Male | 0.97 (0.95, 0.99) | 0.97 (0.95, 0.99) | 0.98 (0.96, 1.00) |
Female | 0.99 (0.97, 1.00) | 0.99 (0.97, 1.00) | 0.99 (0.98, 1.01) |
Stratified by smoking history | |||
No | 1.00 (0.99, 1.01) | 0.99 (0.97, 1.01) | 1.00 (0.98, 1.01) |
Yes | 0.98 (0.97, 1.00) | 0.98 (0.97, 1.00) | 0.99 (0.97, 1.00) |
Stratified by diabetes | |||
No | 0.98 (0.97, 1.00) | 0.98 (0.97,0.99) | 0.99 (0.98, 1.00) |
Yes | 1.00 (0.98, 1.02) | 1.00 (0.97, 1.02) | 1.00 (0.97, 1.02) |
Model 1: no covariates were adjusted. Model 2: age, gender, and race/ethnicity were adjusted. Model 3: age, gender, race/ethnicity, education level, marital status, alcohol use, smoking status, BMI, hypertension, and diabetes were adjusted.
In the subgroup analysis by gender, the model was not adjusted for the stratification variable itself.