Table 3.
Comparison of study population with and without a migration background and having no GP with adjusted odds ratios (aOR) and 95% confidence intervals (CI) estimated from logistic regression (DEGS1)
| study population (no migration background) n = 6552 | study population (migration background) n = 1102 | Having no GP (migration population only) n = 1102 |
|
|---|---|---|---|
| na (%) | na (%b) | aOR (95% CI)c | |
| Having a GP | |||
| Yes | 6081 (91.9) | 970 (85.2) | – |
| No | 471 (8.1) | 132 (14.8) | – |
| Migration background | |||
| two-sided | – | 753 (76.0) | 2.02 (0.82–4.97) |
| one-sided | – | 349 (24.0) | ref. |
| Migration generation | |||
| First generation | – | 653 (66.3) | 1.01 (0.45–2.26) |
| Second generation | – | 449 (33.7) | ref. |
| Knowledge of the German language (subjectively) | |||
| Average/bad/very bad | – | 111 (14.1) | 1.64 (0.92–2.92) |
| Native speaker/very good/good | – | 981 (85.9) | ref. |
| Gender | * | ||
| Male | 3116 (50.0) | 518 (49.1) | 1.78 (1.11–2.85) |
| Female | 3436 (50.0) | 584 (50.9) | ref. |
| Age groups (years) | * | ||
| 18–44 | 2220 (41.2) | 509 (58.0) | 1.67 (1.03–2.71) |
| 45–79 | 4332 (58.8) | 593 (42.0) | ref. |
| Residential area (inhabitants) | |||
| Big city (100,000+) | 1721 (28.2) | 425 (42.0) | 1.54 (1.01–2.37) |
| Rural/Small town/Medium-sized town (< 100,000) | 4831 (71.8) | 677 (58.0) | ref. |
| Marital status | |||
| Single/divorced/widowed | 2237 (38.0) | 369 (36.7) | 1.06 (0.62–1.83) |
| Married | 4276 (62.0) | 724 (63.3) | ref. |
| SES | |||
| Low | 886 (16.0) | 253 (29.5) | 0.79 (0.39–1.57) |
| Medium | 4004 (62.3) | 606 (54.4) | 0.57 (0.28–1.15) |
| High | 1656 (21.7) | 241 (16.2) | ref. |
| Excess work (≥50 h/week) | |||
| Yes | 516 (8.7) | 73 (6.7) | 0.92 (0.43–1.97) |
| No/non-working/65+ years | 5946 (91.3) | 1012 (93.3) | ref. |
| General state of health | |||
| Average/bad/very bad | 1658 (24.5) | 302 (24.9) | 0.94 (0.46–1.92) |
| Very good/good | 4872 (75.5) | 796 (75.1) | ref. |
| Chronic diseases | |||
| Yes | 2137 (29.9) | 322 (23.2) | 0.42 (0.17–1.09) |
| Do not know | 303 (5.3) | 67 (6.5) | 1.53 (0.63–3.73) |
| No | 4112 (64.8) | 713 (70.4) | ref. |
| Health insurance | |||
| Private/others | 904 (13.7) | 84 (6.0) | 2.37 (1.06–5.26) |
| Statutory | 5640 (86.3) | 1016 (94.0) | ref. |
aUnweighted n may not add up to total n due to missing responses
bWeighted results to match the German population structure on 31th December 2010
cAdjusted odds ratios estimated from logistic regression, missing responses were allocated to the reference category (n = 1102). P values: *** p < 0.001 ** p < 0.01 * p < 0.05