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Table 3 Socio-demographic characteristics of the sample (n = 1,040) compared to the German population (Federal statistics)

From: Effects of immediate and distant health consequences: different types of health warning messages on sweets affect the purchase probability

Variable

Description

n

Sample (%)

German population (%)

Gender

Male

516

49.6

49

 

Female

523

50.3

51

 

Non-binary

1

0.1

Age (years)

(Ø; SD, [min, max])

 

(51.7; 16.4, [19, 92])

 
 

18 to 25

81

7.8

9

 

26 to 40

215

20.7

22

 

41 to 64

455

43.8

44

 

 > 65

289

27.8

25

Education

No certificate of secondary education

401

38.6

38

 

General certificate of secondary education

268

25.8

26

 

Higher school certificate or equivalent

371

35.7

36

Net household income

 < 1,300 EUR

266

25.6

26

 

1,300–2,599 EUR

416

40.0

40

 

2,600–5,000 EUR

284

27.3

27

 

 > 5,000 EUR

74

7.1

7

BMI

Underweight (< 18.5 kg/m2)

29

2.8

2a

 

Normal weight (18.5–24.9 kg/m2)

373

36.3

45.3a

 

Overweight (25–29.9 kg/m2)

339

33.0

36.4a

 

Obese (> 30 kg/m2)

287

27.9

16.3a

  1. Based on Federal Statistical Office (2018)
  2. ano quotas were set for BMI; the data refers to representative data for Germany in 2017 [46]. “n” represents the number of observations. “%” refers to the percentage of the total sample