| No Diabetes | Diabetes | Crude OR (95% CI) | Adjusted OR†(95% CI) |
---|
| n(%) | n(%) | | |
---|
Body Mass index
| | | | |
Obese | 991 (87.9) | 137 (12.15) | 1.3*** (1.0 - 1.7) | 1.2** (1.0 - 1.6) |
(0.119) | (0.127) |
SBP (mmHg)
| | | | |
<120 | 1000 (92.2) | 85 (7.83) | - | - |
120-139 | 1323 (88.4) | 173 (11.56) | 1.2 (1.0 - 1.5) | 1.4** (1.0 - 1.9) |
(0.114) | (0.146) |
140-159 | 410 (86.3) | 65 (13.68) | 1.4** (1.1 - 1.9) | 1.8*** (1.2 - 2.7) |
(0.147) | (0.191) |
>160 | 126 (85.7) | 21 (14.29) | 1.5** (1.0 - 2.2) | 1.9** (1.1 - 3.4) |
(0.242) | (0.251) |
- This group of people is the difference between those that have diabetes with the objective measure and those that answer affirmatively to the question whether or not you have diabetes. Total number of observations used for the logistic regression is 2980. In addition to the reported variables, the model controls for the following: income levels, nationality, level of cholesterol, level of education, gender, age (grouped in 5 ten-year groups), consumption of fruits and vegetables as well as exercise patterns. †Odds ratios adjusted for all variables included in the model. ***significant at 1%, **significant at 5%. Standard errors are reported in parentheses below the respective coefficients.