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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)

From: Utilization of cervical cancer screening among migrants and non-migrants in Germany: results from a large-scale population survey

Independent variableOdds Ratio95%-CIp-value
Population group (Ref.: Non-migrants)
 Migrants from EU countries0.800.66; 0.970.02
 Migrants from non-EU countries0.670.55; 0.81< 0.01
Age0.860.85; 0.87< 0.01
Partnership status (Ref.: No partner)
 Partner1.591.47;1.73< 0.01
Socioeconomic status (Ref.: Low)
 Moderate1.491.33; 1.66< 0.01
 High1.831.61;2.09< 0.01
Social support (Ref.: Low)
 Moderate1.281.15; 1.42< 0.01
 High1.461.30; 1.65< 0.01
Region (Ref.: Western Germany)
 Easters Germany1.181.07; 1.30< 0.01
Type of residential area (Ref.: Cities)
 Medium-sized towns0.950.86; 1.040.25
 Small towns1.040.92; 1.170.56
 Rural0.500.85; 1.080.50
Self-rated health status [1 “very good” to 5 “very poor”]0.850.80; 0.90< 0.01
Presence of chronic diseases (Ref.: No)
Yes1.231.13; 1.35< 0.01
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