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Table 1 Sample characteristics at Time 1 (n = 6000) and Time 2 (n = 3285)

From: Competing with big business: a randomised experiment testing the effects of messages to promote alcohol and sugary drink control policy

 

Time 1 (t1)

% (n)

Time 2 (t2)

% (n)

Test statistic

Health policy assignment

 20% tax on sugary drinks

25.0 (1500)

24.9 (819)

Χ2(3) = 0.09, p = .992

 Removal of sugary drink sponsorship from sport

25.0 (1500)

25.0 (821)

 Volume-based tax on alcohol

25.0 (1500)

24.8 (815)

 Removal of alcohol sponsorship from sport

25.0 (1500)

25.3 (830)

Message condition

 Control

20.0 (1200)

19.6 (644)

Χ2(4) = 0.32,

p = .988

 Standard pro-policy arguments (Standard)

20.0 (1200)

20.3 (667)

 Standard + inoculation

20.0 (1200)

19.9 (655)

 Standard + narrative

20.0 (1200)

20.2 (664)

 Standard + inoculation + narrative

20.0 (1200)

19.9 (655)

Sex

 Male

40.8 (2446)

42.2 (1386)

Χ2(1) = 1.78,

p = .182

 Female

59.2 (3554)

57.8 (1899)

Age (years)

 18–24

7.5 (450)

5.9 (193)

Χ2(5) = 13.60,

p = .018

 25–34

14.2 (853)

13.4 (441)

 35–44

14.1 (847)

13.6 (448)

 45–54

15.5 (929)

15.3 (504)

 55–64

21.5 (1292)

22.5 (739)

 65 and older

27.2 (1629)

29.2 (960)

SES (area-based) a

 Quintile 1 (high disadvantage)

16.2 (974)

16.4 (539)

Χ2(4) = 1.34,

p = .855

 Quintile 2

18.2 (1090)

18.3 (602)

 Quintile 3

19.2 (1151)

18.2 (598)

 Quintile 4

22.4 (1342)

22.6 (743)

 Quintile 5 (low disadvantage)

24.0 (1442)

24.4 (802)

Highest level of education

 Some secondary school or less

12.4 (744)

13.2 (433)

Χ2(4) = 1.34,

p = .854

 Finished secondary school

17.6 (1053)

17.7 (582)

 Some tertiary education

26.0 (1561)

25.6 (840)

 Finished tertiary education

29.5 (1768)

29.1 (956)

 Higher degree/diploma

14.6 (874)

14.4 (474)

Parent/carer of child aged under 18

 No

76.4 (4584)

77.7 (2552)

Χ2(1) = 1.98,

p = .160

 Yes

23.6 (1416)

22.3 (733)

Body mass index (BMI) category b

 Underweight

2.7 (139)

2.5 (70)

Χ2(3) = 0.84,

p = .839

 Healthy weight

37.3 (1926)

38.1 (1079)

 Overweight

32.6 (1682)

32.1 (907)

 Obese

27.5 (1420)

27.3 (773)

Consumed sugary drinks in past 7 days c

 No

48.4 (1453)

50.6 (830)

Χ2(1) = 2.01,

p = .156

 Yes

51.6 (1547)

49.4 (810)

Frequency of drinking alcohol in last 12 months d

 Never / non-drinker

16.1 (484)

16.2 (267)

Χ2(2) = 0.16,

p = .922

 2–3 days a month or less

40.8 (1225)

41.3 (680)

 At least 1–2 days a week

43.0 (1291)

42.4 (698)

Political ideology (1 = Left to 10 = Right)

 Mean (sd)

5.43 (1.93)

5.44 (1.93)

F(1) = 0.09,

p = .767

  1. Note: Percentages are rounded so may not sum to 100%
  2. aSES was determined according to the Australian Bureau of Statistic’s Index of Relative Socio-Economic Disadvantage ranking for Australia using participant’s residential postcode [34]. Data is missing for 1 participant at t1 and t2 who provided an invalid postcode
  3. bBMI was computed using participant’s self-reported height and weight [BMI = weight (kg) / height (m)2] and collapsed into categories according to World Health Organization definitions [35]. BMI information is missing for 833 participants at t1 and 456 participants at t2 as they did not self-report their height and/or weight
  4. cThis question was only asked of participants assigned to a sugary drink policy (t1: n = 3000; t2: n = 1640)
  5. dThis question was only asked of participants assigned to an alcohol policy (t1: n = 3000; t2: n = 1645)