Table 2.
Results of the multivariable logistic regression model with the utilization of cervical cancer screening in the last 3 years as the dependent variable: adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) (Austrian Health Interview Survey 2019, women aged 20–69 years, n = 6228; main effects model. No interaction effects included.).
| aOR | 95% CI | |
|---|---|---|
| Population group (Ref.: non-migrant women) | ||
| Migrant women from a Yugoslav successor state | 0.95 | 0.73, 1.24 |
| German migrant women | 0.88 | 0.63, 1.22 |
| Turkish migrant women | 0.60 | 0.40, 0.91 |
| Romanian migrant women | 0.71 | 0.44, 1.16 |
| Hungarian migrant women | 0.73 | 0.44, 1.20 |
| Other migrant women | 0.55 | 0.44, 0.69 |
| Age | 0.91 | 0.89, 0.93 |
| Partnership status (Ref.: living together with a partner) | ||
| Not living together with a partner | 0.74 | 0.65, 0.84 |
| Educational level (Ref.: primary/lower secondary) | ||
| Upper secondary/post-secondary (non-tertiary) | 1.35 | 1.16, 1.58 |
| Tertiary education (bachelor, master, doctoral) | 1.52 | 1.27, 1.82 |
| Net income of the respondent’s household (Ref.: below the 1st quintile) | ||
| 2nd-income-quintile group | 1.01 | 0.86, 1.20 |
| 3rd-income-quintile group | 0.95 | 0.80, 1.13 |
| 4th-income-quintile group | 1.16 | 0.96, 1.39 |
| 5th-income-quintile group | 1.11 | 0.91, 1.36 |
| Degree of urbanization (Ref.: high) | ||
| Moderate | 0.97 | 0.77, 1.22 |
| Low | 0.98 | 0.79, 1.23 |
| Region (federal state) of residence (Ref.: Burgenland/Lower Austria) | ||
| Vienna | 1.03 | 0.78, 1.37 |
| Carinthia | 1.46 | 1.13, 1.87 |
| Styria | 0.82 | 0.70, 0.97 |
| Upper Austria | 1.00 | 0.85, 1.18 |
| Salzburg | 0.88 | 0.69, 1.11 |
| Tyrol | 1.38 | 1.14, 1.67 |
| Vorarlberg | 1.11 | 0.88, 1.42 |
| Self-rated health (1—“very good” to 5—“very poor”) (mean, SD) | 0.93 | 0.86, 1.00 |
| Presence of chronic disease (Ref.: Yes) | ||
| No | 0.80 | 0.70, 0.91 |
Note: Ref.: reference; SD: standard deviation.