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Table 1 Weighted sociodemographic characteristics across countries (2018–2021)a

From: Perceived healthiness of sugary drinks and related social norms among adults in five countries: evidence from the International Food Policy Study

 

All countries (n = 70 367)

Australia (n = 13 657)

Canada (n = 14 204)

Mexico (n = 14 220)

UK (n = 14 001)

US (n = 14 285)

 

n (%)

Survey year

 2018

18 683 (27)

3403 (25)

3642 (26)

3531 (25)

4286 (31)

3821 (27)

 2019

17 708 (25)

3551 (26)

3491 (25)

3800 (27)

3281 (23)

3585 (25)

 2020

18 047 (26)

3564 (26)

3581 (25)

3701 (26)

3405 (24)

3796 (27)

 2021

15 929 (23)

3139 (23)

3490 (25)

3188 (22)

3029 (22)

3083 (22)

Sex

 Male

34 085 (48)

6680 (49)

7018 (49)

6784 (48)

6776 (48)

6828 (48)

 Female

36 282 (52)

6977 (51)

7186 (51)

7436 (52)

7225 (52)

7457 (52)

Age group

 18–29 years

15 374 (22)

2825 (21)

2762 (19)

4148 (29)

2698 (19)

2941 (21)

 30–44 years

18 723 (27)

3644 (27)

3566 (25)

4494 (32)

3489 (25)

3529 (25)

 45–59 years

18 187 (26)

3331 (24)

3584 (25)

4064 (29)

3584 (26)

3624 (25)

 ≥60 years

18 083 (26)

3856 (28)

4291 (30)

1514 (11)

4230 (30)

4191 (29)

Ethnicityb

 Majority

54 462 (77)

10 164 (74)

11 213 (79)

11 375 (80)

12 459 (89)

9252 (65)

 Minority

15 905 (23)

3493 (26)

2991 (21)

2845 (20)

1542 (11)

5033 (35)

Educationc

 Low

29 396 (42)

5645 (41)

5836 (41)

2976 (21)

6912 (49)

8027 (56)

 Medium

15 549 (22)

4399 (32)

4791 (34)

1891 (13)

3028 (22)

1441 (10)

 High

25 422 (36)

3614 (26)

3577 (25)

9352 (66)

4061 (29)

4817 (34)

Income adequacyd

 Low

47 069 (67)

8572 (63)

9216 (65)

11 843 (83)

8335 (60)

9103 (64)

 High

23 298 (33)

5085 (37)

4988 (35)

2377 (17)

5666 (40)

5182 (36)

Children (< 18y) at home

 No

48 491 (69)

10 025 (73)

11 109 (78)

7049 (50)

10 174 (73)

10 134 (71)

 Yes

21 876 (31)

3632 (27)

3095 (22)

7171 (50)

3827 (27)

4151 (29)

  1. a Percentages (%) and frequencies (n) are weighted
  2. b Ethnicity was assessed using country-specific race/ethnicity categories and was analyzed as a binary variable (majority/minority). Ethnicity categories were recoded as follows: (1) Australia majority = only speaks English at home, minority = speaks a language other than English at home or indicated they are aboriginal or Torres Straight Islander; (2) Canada majority = White, minority = other ethnicity; (3) Mexico majority = Non-indigenous, minority = indigenous; (4) UK majority = White, minority = other ethnicity; (5) US majority = White, minority = other ethnicity
  3. c Participants were asked: “What is the highest level of formal education that you have completed?”. Responses were then classified into 3 levels, i.e. low (high-school diploma or less), medium (technical diploma or some post-secondary qualifications), and high education (university degree or higher)
  4. d Participants were asked: “Thinking about your total monthly income, how difficult or easy is it for you to make ends meet?”, “Very difficult”, “Difficult” and “Neither easy nor difficult” were combined as low income adequacy, and “Easy” and “Very easy” as high income adequacy