Table 1.
Multilevel models with associations of education with Pap smear and mammography uptake.
| Pap Smear (n = 99 715) |
Mammography (n = 54 557) |
|
|---|---|---|
| OR (SE) | OR (SE) | |
| Model 0 (intercept-only) | ||
| MOR | 1.568 | 2.001 |
| VPC | 0.063 | 0.140 |
| Model 1a (education crude) | ||
| Education (ref: high) | ||
| Middle education | 0.734*** (0.014) | 0.869*** (0.025) |
| Low education | 0.399*** (0.009) | 0.626*** (0.020) |
| MOR | 1.568 | 2.047 |
| VPC | 0.063 | 0.146 |
| Model 1b (education adjusted) | ||
| Education (ref: high) | ||
| Middle education | 0.802*** (0.016) | 0.868*** (0.026) |
| Low education | 0.511*** (0.012) | 0.646*** (0.022) |
| Screening programme (ref: organised) | ||
| Partial programme | 1.401 (0.312) | 0.682 (0.236) |
| No programme | 1.312 (0.267) | 0.482 (0.207) |
| GDP per capita | 2.107 (1.203) | 5.951* (4.825) |
| MOR | 1.549 | 1.830 |
| VPC | 0.060 | 0.109 |
*p value ≤ 0.05, **p value ≤ 0.01, ***p value ≤ 0.001.
MOR = median odds ratio, VPC = variance partitioning coefficient.
Note: Model 1b was adjusted for age, cohabitation status, self-rated health, area of residence, work status, country of birth, visit to a GP in the past 12 months.