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Table 1 Participants’ breakfast consumption according to sociodemographics, school form, medical history, and lifestyle characteristics (GeWIT, n = 646):

From: Rise and dine: unraveling breakfast habits among tenth graders - a cross-sectional study among 646 students in the City of Witten, Germany (GeWIT study)

 

Study population (total)

Had breakfast before school

Did not have breakfast before school

P-Value

 

n

%

n

%

n

%

 

Total

646

100%

319

49.4%*

327

50.6%*

 

Gender

      

0.22

 Girls

308

47.6%

147

47.7%

161

52.3%

 

 Boys

304

47.1%

159

52.3%

145

47.7%

 

 Diverse

34

5.3%

13

38.2%

21

61.8%

 

Age (in years)

      

0.40

 15²

383

59.3%

197

51.4%

186

48.6%

 

 16

206

31.9%

94

45.6%

112

54.4%

 

 17–19

57

8.8%

28

49.1%

29

50.9%

 

School type

      

< 0.001

 Academic high school

229

35.4%

138

60.3%

91

39.7%

 

 Intermediate secondary school

174

27%

71

40.8%

103

59.2%

 

 Comprehensive school

207

32%

95

45.9%

112

54.1%

 

 General secondary school

36

5.6%

15

41.7%

21

58.3%

 

Subjective SES

      

0.29

 High

331

51.2%

172

52.0%

159

48.0%

 

 Moderate

222

34.4%

109

49.1%

113

50.9%

 

 Low

49

7.6%

19

38.8%

30

61.2%

 

 Missing Data

44

6.8%

19

43.2%

25

56.8%

 

Migration background

      

0.001

 No³

357

55.3%

197

55.2%

160

44.8%

 

 Yes

289

44.7%

122

42.2%

167

57.8%

 

Physical activity

      

0.43

 ≥ 3 days/week⁴

504

78.0%

253

50.2%

251

49.8%

 

 1–2 days/week

120

18.6%

58

48.3%

62

51.7%

 

 0 days/week

22

3.4%

8

36.4%

14

63.6%

 

BMI

      

0.019

 Underweight

34

5.2%

23

67.6%

11

32.4%

 

 Normal weight

337

52.2%

173

51.3%

164

48.7%

 

 Overweight

33

5.1%

17

51.5%

16

48.5%

 

 Obesity

32

5.0%

9

28.1%

23

71.9%

 

 Missing data

210

32.5%

97

46.2%

113

53.8%

 

Family doctor consultations last year

      

0.609

 0–2/ year

126

19.5%

67

53.2%

59

46.8%

 

 3–5/year

65

10.1%

31

47.7%

34

52.3%

 

 ≥ 6 / year

402

62.2%

192

47.8%

210

52.2%

 

 Missing data

53

8.2%

29

54.7%

24

45.3%

 

Subjective health status

      

< 0.001

 Excellent

98

15.2%

69

70.4%

29

29.6%

 

 Very good

201

31.1%

108

53.7%

93

46.3%

 

 Good⁵

280

43.3%

118

42.1%

162

57.9%

 

 Less good/ bad

67

10.4%

24

35.8%

43

64.2%

 
  1. - *Row Percentages
  2. - Subjective SES: Subjective socioeconomic status
  3. - Percentage figures do not always add up to 100% due to rounding
  4. - (n) does not equal the total number due to missing data; The superscript numbers refer to the included missing data: ( gender: n = 3, ² age: n = 9, ³ migration background n = 9, ⁴ weekly physical activities n = 11, ⁵ subjective health status n = 7)