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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)

From: Determinants of having no general practitioner in Germany and the influence of a migration background: results of the German health interview and examination survey for adults (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.
  1. aUnweighted n may not add up to total n due to missing responses
  2. bWeighted results to match the German population structure on 31th December 2010
  3. 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