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Table 1 Socio-demographic characteristics of the sample

From: Effects of marketing claims on toddler food products on parents’ product preferences, perceptions and purchasing intentions: an online experiment

Characteristic

Total

(N = 838)

Control (no claim)

(n = 209)

Contains ‘good’ ingredient

(n = 209)

Free from ‘bad’ ingredient

(n = 210)

Unregulated child-related claim

(n = 210)

Gendera

 Male

232 (27.7)

49 (23.4)

68 (32.5)

54 (25.7)

61 (29.1)

 Female

602 (71.8)

160 (76.6)

139 (66.5)

154 (73.3)

149 (71.0)

 Other

4 (0.50)

0 (0)

2 (0.96)

2 (0.95)

0 (0)

Age

 18–29 years

225 (26.9)

59 (28.2)

58 (27.8)

50 (23.8)

58 (27.6)

 30–39 years

350 (41.8)

84 (40.2)

88 (42.1)

89 (42.4)

89 (42.4)

 40 + years

263 (31.4)

66 (31.6)

63 (30.1)

71 (33.8)

63 (30.0)

Highest level of education

 Did not complete tertiary

427 (51.0)

107 (51.2)

108 (51.7)

105 (50.0)

107 (51.0)

 Tertiary or higher

411 (49.1)

102 (48.8)

101 (48.3)

105 (50.0)

103 (49.1)

SEIFAb

 Low (Q1 & 2)

285 (34.0)

68 (32.5)

78 (37.3)

79 (37.6)

60 (28.6)

 Medium (Q3 & 4)

399 (47.6)

101 (48.3)

93 (44.5)

92 (43.8)

113 (53.8)

 High (Q5)

154 (18.4)

40 (19.1)

38 (18.2)

39 (18.6)

37 (17.6)

Frequency that toddler eats ready-made toddler foods

 ≤ 1 day/week

203 (24.2)

58 (27.8)

45 (21.5)

45 (21.4)

55 (26.2)

 2–3 days/week

250 (29.8)

59 (28.2)

65 (31.1)

69 (32.9)

57 (27.1)

 4–6 days/week

185 (22.1)

44 (21.0)

49 (23.4)

48 (22.9)

44 (21.0)

 Every day of the week

200 (23.9)

48 (23.0)

50 (23.9)

48 (22.9)

54 (25.7)

Language other than English

 Yes

152 (18.1)

36 (17.2)

35 (16.8)

39 (18.6)

42 (20.0)

 No

686 (81.9)

173 (82.8)

174 (83.3)

171 (81.4)

168 (80.0)

Number of children

 One

315 (37.6)

81 (38.8)

88 (42.1)

68 (32.4)

78 (37.1)

 Two

344 (41.0)

84 (40.2)

80 (38.3)

90 (42.9)

90 (42.9)

 Three or more

179 (21.4)

44 (21.1)

41 (19.6)

42 (20.0)

42 (20.0)

Sole (single) parent

 Yes

250 (29.8)

64 (30.6)

55 (26.3)

64 (30.5)

67 (31.9)

 No

588 (70.2)

145 (69.4)

154 (73.7)

146 (69.5)

143 (68.1)

  1. Numbers in parentheses are percentages. Percentages may not sum to 100% due to rounding. Exploratory analyses were performed comparing male vs. female by excluding the ‘other’ category to observe gender specific effects, and there were no changes in the pattern of results
  2. aFor multivariable analyses, participants who reported their gender as ‘male’ or ‘other’ were grouped together to retain sufficient statistical power
  3. bSEIFA, socio-economic index for areas, which was determined according to the Australian Bureau of Statistics Index of Relative Socio-Economic Disadvantage ranking for Australia using participant’s residential postcode. This index ranks areas on a continuum of disadvantage (from most disadvantaged to least disadvantaged) taking into consideration characteristics that may enhance or reduce socio-economic conditions of the area