Table 2 Results of the multivariable logistic regression model with utilization of cervical cancer screening as the dependent variable. Odds ratios (OR) and 95% confidence intervals (95%-CI) (German Health Update 2014/2015, women age 20 years and above, n = 12,064; Main effects model. No interaction effects included)
Independent variable | Odds Ratio | 95%-CI | p-value |
|---|---|---|---|
Population group (Ref.: Non-migrants) | |||
Migrants from EU countries | 0.80 | 0.66; 0.97 | 0.02 |
Migrants from non-EU countries | 0.67 | 0.55; 0.81 | < 0.01 |
Age | 0.86 | 0.85; 0.87 | < 0.01 |
Partnership status (Ref.: No partner) | |||
Partner | 1.59 | 1.47;1.73 | < 0.01 |
Socioeconomic status (Ref.: Low) | |||
Moderate | 1.49 | 1.33; 1.66 | < 0.01 |
High | 1.83 | 1.61;2.09 | < 0.01 |
Social support (Ref.: Low) | |||
Moderate | 1.28 | 1.15; 1.42 | < 0.01 |
High | 1.46 | 1.30; 1.65 | < 0.01 |
Region (Ref.: Western Germany) | |||
Easters Germany | 1.18 | 1.07; 1.30 | < 0.01 |
Type of residential area (Ref.: Cities) | |||
Medium-sized towns | 0.95 | 0.86; 1.04 | 0.25 |
Small towns | 1.04 | 0.92; 1.17 | 0.56 |
Rural | 0.50 | 0.85; 1.08 | 0.50 |
Self-rated health status [1 “very good” to 5 “very poor”] | 0.85 | 0.80; 0.90 | < 0.01 |
Presence of chronic diseases (Ref.: No) | |||
Yes | 1.23 | 1.13; 1.35 | < 0.01 |