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