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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