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Table 3 Differences in general characteristics between participants and non-participants

From: Determinants for participation in a prevention and early detection programme for children and adolescents in Germany: does social background play a role?

 

Participants (n = 711)

Non-participants (n = 578)

p

n

%

n

%

Age

    

0.005

 0–5 years

248

34.9%

244

42.2%

 

 6–11 years

232

32.6%

190

32.9%

 

 12–17 years

231

32.5%

144

24.9%

 

Missing

0

 

0

  

Sex

    

0.823

 Female

360

50.6%

288

50.0%

 

 Male

351

49.4%

288

50.0%

 

Missing

0

 

2

  

Chronic disease

    

0.022

 Yes

120

16.9%

71

12.3%

 

 No

591

83.1%

507

87.7%

 

Missing

0

 

0

  

Federal State

    

0.009

 Berlin

136

19.1%

151

26.2%

 

 Brandenburg

296

41.6%

226

39.2%

 

 MWP

279

39.2%

199

34.5%

 

Missing

0

 

2

  

Region of residence

    

0.148

 Rural

220

30.9%

157

27.2%

 

 Semi-urban

227

31.9%

177

30.6%

 

 Urban

264

37.1%

244

42.2%

 

Missing

0

 

0

  

Living space

    

0.017

 Birth parents

518

72.9%

393

68.0%

 

 Mother or father and new partner

75

10.5%

56

9.7%

 

 Only mother or father

112

15.8%

114

19.7%

 

 Other

6

0.8%

15

2.6%

 

Missing

0

 

0

  

Siblings

    

0.007

 no

145

20.7%

130

23.1%

 

 1

318

45.4%

204

36.2%

 

 2

136

19.4%

112

19.9%

 

 3

54

7.7%

63

11.2%

 

  ≥ 4

48

6.8%

54

9.6%

 

Missing

10

 

15

  

Country of birth

    

0.009

 Germany

661

94.0%

517

89.9%

 

 Other

42

6.0%

58

10.1%

 

Missing

8

 

3

  

Migration background

    

0.002

 None

505

72.7%

359

63.3%

 

 One-sided

63

9.1%

65

11.5%

 

 Two-sided

127

18.3%

143

25.2%

 

Missing

16

 

11

  

Spoken language at home

    

0.001

 German

494

69.6%

346

60.0%

 

 German and other language(s)

176

24.8%

175

30.3%

 

 Only other language(s)

40

5.6%

56

9.7%

 

Missing

1

 

1

  

School leaving qualificationa

    

0.532

 None or low

100

14.5%

92

16.8%

 

 Medium

279

40.4%

214

39.1%

 

 High

312

45.2%

242

44.2%

 

Missing

20

 

30

  

Vocational qualificationa

    

0.261

 None

68

10.0%

70

12.9%

 

 Completed vocational training

362

53.1%

274

50.4%

 

 Higher degreesb

252

37.0%

200

36.8%

 

Missing

29

 

34

  

Occupational status of mother

    

< 0.001

 Worker

201

28.9%

162

28.6%

 

 Employee

293

42.1%

179

31.6%

 

 Official

16

2.3%

8

1.4%

 

 Self-employed

19

2.7%

21

3.7%

 

 Other

71

10.2%

88

15.5%

 

 Unemployed

96

13.8%

108

19.1%

 

Missing

15

 

12

  

Occupational status of father

    

0.380

 Worker

285

42.2%

224

41.3%

 

 Employee

224

33.1%

165

30.4%

 

 Official

29

4.3%

21

3.9%

 

 Self-employed

49

7.2%

36

6.6%

 

 Other

27

4.0%

32

5.9%

 

 Unemployed

62

9.2%

64

11.8%

 

Missing

35

 

36

  

Household net income

    

0.020

  < €1000

60

9.2%

58

10.7%

 

 €1000—< €2000

174

26.8%

181

33.3%

 

 €2000—< €3000

172

26.5%

149

27.4%

 

 €3000—< €4000

140

21.6%

91

16.7%

 

  ≥ €4000

103

15.9%

65

11.9%

 

Missing

62

 

34

  

Start of treatment with the current paediatrician

    

0.029

 During the first year of life

480

69.8%

364

64.5%

 

 Later

208

30.2%

200

35.5%

 

Missing

23

 

14

  

Trust in the current paediatrician

    

< 0.001

 Very high

338

48.6%

204

36.6%

 

 Rather high

305

43.9%

276

49.5%

 

 Low/none

52

7.5%

78

14.0%

 

Missing

16

 

20

  
  1. adegree of parent with the highest degree
  2. bdegrees from universities, higher education establishments and technical colleges
  3. p Pearson-Chi-Square