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Table 2 Distribution of sociodemographic and lifestyle-related variables in the two study populations

From: Population-based assessment of health, healthcare utilisation, and specific needs of Syrian migrants in Germany: what is the best sampling method?

  PR study population (N = 49) RDS study population (N = 156)
  Unweighted estimates Weighted estimates
n % 95% CI n % 95% CI p* % 95% CI p**
Age        < 0.01    < 0.01
 18–34 23 46.9 32.5 to 61.7 115 73.7 66.1 to 80.4   73.9 63.7 to 82.5  
 35–54 13 26.5 14.9 to 41.1 39 25.0 18.4 to 32.6   25.7 17.2 to 36.0  
 > 55 13 26.5 14.9 to 41.1 2 1.28 0.2 to 4.6   0.3 0.0 to 1.3  
Partnership
 Living in a steady partnership 26 53.1 38.3 to 67.5 52 33.3 26.0 to 41.3 0.01 32.9 22.4 to 44.9 0.03
Highest educational degree
 High-school degree 44 89.8 77.8 to 96.6 132 84.6 78.0 to 89.9 0.36 77.4 63.8 to 87.8 0.10
Highest professional qualification
 University degree 31 63.3 48.3 to 76.6 44 28.2 21.3 to 36.0 < 0.01 26.1 16.2 to 38.1 < 0.01
Lifestyle factors
 Sports 28 57.1 42.2 to 71.2 67 42.9 35.1 to 51.1 0.08 42.5 31.6 to 54.0 0.11
 Alcohol 16 32.7 19.9 to 47.5 36 23.1 16.7 to 30.5 0.18 24.3 14.2 to 36.9 0.33
 Smoking 15 30.6 18.3 to 45.4 86 55.1 47.0 to 63.1 < 0.01 53.1 41.3 to 64.6 0.01
  1. CI exact Clopper-Pearson confidence interval, PR population registry, RDS respondent-driven sampling
  2. * p-value calculated using chi2 test for the unweighted estimates of the PR and RDS study population
  3. ** p-value calculated using Rao-Scott correction of the Chi2 test for the weighted estimates of the RDS study population