Table 1. Logistic regression analysis with type 1 diabetes as the dependant variable and the profession groups as independent variables.
| Type 1 diabetes% (n/ntotal) | Crude OR with 95% CI | Adjusted ORa with 95% CI | |
|---|---|---|---|
| Cohort | 1.28 (15,451/1,210,017) | ||
| Sex | |||
| Male | 2.12 (8291/390,471) | ||
| Female | 0.87 (7160/819,546) | ||
| Profession groups | |||
| Bakers | 0.76 (1518/199,610) | 0.49 (0.41 to 0.57), P<0.001 | 0.57 (0.52 to 0.62), P<0.001 |
| Agriculture workers, grain | 0.93 (802/86,210) | 0.69 (0.55 to 0.86), P = 0.001 | 0.65 (0.56 to 0.75), P<0.001 |
| Agriculture workers, non-grain | 1.08 (1012/94,032) | 1.05 (0.82 to 1.34), P = 0.710 | 0.88 (0.76 to 1.02), P = 0.086 |
| Bakers factory workers | 1.36 (717/52,601) | 1.08 (0.81 to 1.44), P = 0.616 | 0.92 (0.77 to 1.11), P = 0.388 |
| Butchers | 1.13 (314/27,744) | 1.64 (0.99 to 2.72), P = 0.054 | 1.16 (0.85 to 1.59), P = 0.356 |
| Sanitation workers | 2.03 (490/24,175) | 1.91 (1.21 to 2.99), P = 0.005 | 1.33 (0.97 to 1.84), P = 0.080 |
OR: odds ratio; CI: confidence interval; N: number of individuals.
aAdjusted for sex.