Skip to main content

Table 1 Demographic characteristics of study participants

From: Development, validation and item reduction of a food literacy questionnaire (IFLQ-19) with Australian adults

Categories (Qualtrics quotas, %)

Study 1, n = 504 (%)

Study 2, n = 503 (%)

Study 3, n = 269 (%)

Gender

 Male (51)

243 (48)

266 (53)

156 (58)

 Female (49)

256 (51)

237 (47)

113 (42)

 Not disclosed

5 (1)

0 (0)

0 (0)

Age

 18–24 (16)

78 (15)

43 (9)

26 (10)

 25–34 (18)

91 (18)

99 (20)

50 (18)

 35–44 (17)

89 (17)

93 (18)

42 (16)

 45–54 (16)

76 (15)

88 (17)

44 (16)

 55–64 (15)

74 (15)

81 (16)

45 (17)

 65–74 (19)

69 (14)

74 (15)

44 (16)

 75–84

25 (5)

23 (4)

17 (6)

 85 + 

2 (1)

2 (1)

1 (1)

Annual individual incomea

 $0-$15,599 (19)

89 (18)

94 (19)

39 (15)

 $15,600–25,999 (15)

70 (14)

62 (12)

41 (15)

 $26,000-$41,599 (16)

78 (15)

87 (17)

55 (20)

 $41,600-$64,999 (16)

89 (18)

80 (16)

43 (16)

 $65,000-$90,999 (18)

78 (15)

83 (17)

44 (16)

 $91,000-$155,999 (16)

70 (14)

77 (15)

40 (15)

 $156,000 + 

30 (6)

20 (4)

07 (3)

Ancestryb

 Oceanian

362 (58)

372 (63)

193 (62)

 North-West European

147 (24)

104 (17)

58 (18)

 Southern and Eastern European

29 (4)

34 (6)

18 (6)

 North African and Middle Eastern

7 (1)

9 (1)

40 (1)

 South-East Asian

15 (2)

12 (2)

70 (2)

 North-East Asian

37 (6)

28 (4)

190 (6)

 Southern and Central Asian

11 (2)

23 (4)

90 (3)

 Peoples of the Americas

2 (1)

2 (1)

10 (1)

 Sub-Saharan African

1 (1)

4 (1)

20 (1)

 Preferred not to answer

5 (1)

3 (1)

0 (0)

State

 Queensland

96 (19)

96 (19)

51 (19)

 New South Wales

136 (27)

150 (30)

83 (31)

 Victoria

155 (31)

141 (28)

72 (27)

 South Australia

51 (10)

41 (8)

19 (7)

 Western Australia

41 (8)

41 (8)

260 (9)

 Tasmania

16 (3)

29 (6)

130 (5)

 Northern Territory

2 (1)

0 (0)

0 (0)

 Australian Capital Territory

7 (1)

5 (1)

5 (2)

Education (highest achieved)

 Primary school

92 (18)

75 (15)

35 (13)

 High school

91 (18)

94 (19)

48 (18)

 Trade or other certificate

79 (16)

87 (17)

560 (21)

 Diploma

58 (12)

56 (11)

310 (11)

 Bachelor degree

131 (26)

145 (29)

780 (29)

 Post-graduate degree

53 (10)

46 (9)

210 (8)

Current employment status

 Employed

303 (60)

286 (57)

1430 (53)

 Not employed

201 (40)

217 (43)

1260 (47)

Socio-economic advantage and disadvantagec

 1 (most disadvantaged)

41 (8)

51 (10)

270 (10)

 2

36 (7)

30 (6)

120 (4)

 3

31 (6)

44 (8)

250 (9)

 4

50 (10)

39 (8)

210 (8)

 5

47 (9)

40 (8)

220 (8)

 6

43 (9)

56 (11)

31 (12)

 7

41 (8)

41 (8)

21 (8)

 8

74 (15)

71 (14)

37 (14)

 9

88 (17)

65 (13)

36 (13)

 10 (most advantaged)

45 (9)

65 (13)

37 (14)

 Could not be categorised

8 (2)

1 (1)

0 (0)

Remoteness area indexd

 Major cities of Australia

377 (69)

391 (68)

224 (71)

 Inner regional Australia

113 (21)

134 (23)

69 (22)

 Outer regional Australia

45 (8)

43 (7)

16 (5)

 Remote Australia

5 (1)

4 (1)

2 (1)

 Very remote Australia

3 (1)

3 (1)

1 (1)

  1. aAnnual individual income brackets were determined by Qualtrics, closest to the Australian Bureau of Statistics (ABS) classification [41]
  2. bAustralian Bureau of Statistics (ABS) standard classification for cultural and ethnic groups (ASCCEG) [46]
  3. cAustralian Bureau of Statistics (ABS) postal area code by indexes for Australia (SEIFA) [40]. An area with a high score on this index has a relatively high incidence of advantage and a relatively low incidence of disadvantage. Eight postcodes were not available in the SEIFA database
  4. dAustralian Bureau of Statistics (ABS) postal area code by remoteness area [47]. Some postcodes covered more than one category