Table 1 Baseline characteristics by cohort.

From: Differences in weight status among Australian children and adolescents from priority populations: a longitudinal study

Variables

English

Middle East & North Africa

East Asia

South & Central Asia

Europe

Africa

Americas

Oceania

Aboriginal & Torres Strait Islander

B Cohort (n = 4506)

N

3459 (76.76%)

125 (2.77%)

237 (5.26%)

88 (1.95%)

278 (6.17%)

31 (0.69%)

41 (0.91%)

72 (1.60%)

175 (3.88%)

zBMI

0.89 (1.04)

1.11 (1.11)

0.83 (1.15)

0.24 (1.23)

0.86 (0.96)

0.61 (1.11)

1.14 (1.02)

1.03 (1.21)

0.86 (1.15)

Age

2.87 (0.01)

2.87 (0.02)

2.89 (0.02)

2.86 (0.02)

2.85 (0.01)

2.85 (0.05)

2.85 (0.04)

2.87 (0.03)

2.87 (0.02)

Male

1747 (50.51%)

54 (43.20%)

125 (52.74%)

62 (70.45%)

140 (50.36%)

12 (38.71%)

21 (51.22%)

45 (62.50%)

92 (52.57%)

Female

1712 (49.49%)

71 (56.80%)

112 (47.26%)

26 (29.55%)

138 (49.64%)

19 (61.29%)

20 (48.78%)

27 (37.50%)

83 (47.43%)

SEP Quintile 1 (Most disadvantaged)

619 (17.95%)

52 (42.28%)

63 (26.81%)

8 (9.09%)

27 (9.71%)

5 (16.13%)

11 (26.83%)

17 (23.94%)

91 (53.53%)

SEP Quintile 2

736 (21.34%)

21 (17.07%)

31 (13.19%)

12 (13.64%)

54 (19.42%)

6 (19.35%)

6 (14.63%)

13 (18.31%)

37 (21.76%)

SEP Quintile 3

713 (20.67%)

18 (14.63%)

33 (14.04%)

16 (18.18%)

55 (19.78%)

3 (9.68%)

4 (9.76%)

14 (19.72%)

25 (14.71%)

SEP Quintile 4

675 (19.5%)

11 (8.94%)

45 (19.15%)

21 (23.86%)

72 (25.90%)

7 (22.58%)

9 (21.95%)

13 (18.31%)

13 (7.65%)

SEP Quintile 5 (Most advantaged)

706 (20.4%)

21 (17.07%)

63 (26.81%)

31 (35.23%)

70 (25.18%)

10 (32.26%)

11 (26.83%)

14 (19.72%)

4 (2.35%)

K Cohort (n = 4415)

N

3330 (74.75%)

98 (2.22%)

267 (6.05%)

108 (2.45%)

329 (7.45%)

47 (1.06%)

53 (1.20%)

63 (1.43%)

150 (3.40%)

zBMI

0.50 (1.03)

0.79 (1.23)

0.28 (1.08)

0.03 (1.27)

0.59 (1.07)

0.12 (0.89)

0.92 (1.10)

1.24 (1.36)

0.72 (1.40)

Age

6.86 (0.24)

6.93 (0.29)

6.88 (0.26)

6.91 (0.23)

6.85 (0.24)

6.85 (0.26)

6.85 (0.21)

6.91 (0.24)

6.90 (0.25)

Male

1687 (51.12%)

58 (59.18%)

130 (48.69%)

51 (47.22%)

173 (52.58%)

14 (29.79%)

27 (50.94%)

36 (57.14%)

72 (48.00%)

Female

1613 (48.88%)

40 (40.82%)

137 (51.31%)

57 (52.78%)

156 (47.42%)

33 (70.21%)

26 (49.06%)

27 (42.86%)

78 (52.00%)

SEP Quintile 1 (Most disadvantaged)

604 (18.35%)

33 (35.11%)

71 (27.00%)

6 (5.56%)

53 (16.11%)

9 (19.15%)

6 (11.54%)

17 (27.42%)

67 (47.18%)

SEP Quintile 2

673 (20.44%)

28 (29.79%)

24 (9.13%)

10 (9.26%)

55 (16.72%)

7 (14.89%)

9 (17.31%)

14 (22.58%)

41 (28.87%)

SEP Quintile 3

698 (21.20%)

15 (15.96%)

41 (15.59%)

26 (24.07%)

65 (19.76%)

8 (17.02%)

14 (26.92%)

12 (19.35%)

22 (15.49%)

SEP Quintile 4

697 (21.17%)

8 (8.51%)

50 (19.01%)

31 (28.70%)

78 (23.71%)

15 (31.91%)

17 (32.69%)

11 (17.74%)

7 (4.93%)

SEP Quintile 5 (Most advantaged)

620 (18.83%)

10 (10.64%)

77 (29.28%)

35 (32.41%)

78 (23.71%)

8 (17.02%)

6 (11.54%)

8 (12.90%)

5 (3.52%)

  1. Data presented as mean and standard deviation or N (%) unless otherwise indicated.
  2. Statistics based on those with complete information on BMI z-score.
  3. *SEP observations were carried forward from Wave 7 to Wave 8 due to missing data.
  4. B birth, K kindergarten, BMI body-mass index, SEP socioeconomic position.