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. 2023 Jul 18;68:1606097. doi: 10.3389/ijph.2023.1606097

TABLE 3.

Logistic regression models to examine associations of different migration characteristics with depressive symptoms (dichotomized PHQ-9, 1 = score ≥10 indicating depressive symptoms); N = 204,878 (German National Cohort (NAKO), Germany, 2014–2019).

Parameter Model 1 Model 2
Odds Ratio (CI) Odds Ratio (CI)
(Intercept) 0.05 (0.04, 0.05) 0.02 (0.01, 0.02)
1st generation migrants, other than German citizenship (ref. non-migrants) 1.51 (1.39, 1.64) 0.88 (0.81, 0.96)
1st generation migrants, German citizenship (ref. non-migrants) 1.57 (1.47, 1.67) 1.18 (1.10, 1.27)
2nd generation migrants (ref. non-migrants) 1.42 (1.32, 1.52) 1.28 (1.19, 1.38)
Resettlers (ref. non-migrants) 1.40 (1.24, 1.59) 1.09 (0.95, 1.26)
Age 20–39 years (ref. age 60+) 1.58 (1.50, 1.67) 1.95 (1.83, 2.08)
Age 40–59 (ref. age 60+) 1.49 (1.42, 1.56) 1.94 (1.83, 2.06)
Sex (female, ref. male) 1.51 (1.46, 1.56) 1.51 (1.45, 1.56)
Education (ISCED medium, ref. ISCED high) 1.28 (1.23, 1.33)
Education (ISCED low, ref. ISCED high) 1.36 (1.23, 1.50)
Unemployed (ref. employed) 1.97 (1.81, 2.14)
Non-employed (ref. employed) 1.58 (1.49, 1.67)
Income position (60%–150% of equivalent income, ref. >150% of equivalent income) 1.26 (1.20, 1.33)
Income position (<60% of equivalent income, ref. >150% of equivalent income) 1.80 (1.69, 1.93)
Emotional support (insufficient emotional support, ref. sufficient emotional support) 4.52 (4.32, 4.73)
Social Network Index (isolated, ref. not isolated) 1.88 (1.78, 1.99)
Nagelkerke’s Pseudo r-squared 0.02 0.13