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Table 1 Distribution of respondent type within the unweighted youth (15–17 years) sample across surveys

From: Clearing the air: underestimation of youth smoking prevalence associated with proxy-reporting compared to youth self-report

 

Respondent type

Unweighted % (95% CI)

 

Proxy

Youth self-report with parent present

Youth self-report independently

Aboriginal and Torres Strait Islander population

  2012–13 AATSIHS (n = 757)1

37.3 (33.8, 40.7)

38.3 (34.8, 41.8)

24.4 (21.4, 27.5)

Age group

  15–16 years

40.0 (35.8, 44.3)

38.7 (34.4, 42.9)

21.3 (17.7, 24.8)

  17 years

31.4 (25.6, 37.3)

37.6 (31.5, 43.6)

31.0 (25.2, 36.8)

Sex

  Male

39.9 (35.0, 44.9)

36.3 (31.5, 41.1)

23.8 (19.5, 28.0)

  Female

34.5 (29.7, 39.3)

40.4 (35.4, 45.4)

25.1 (20.7, 29.5)

Remoteness2

  Major cities

36.6 (30.1, 43.1)

37.1 (30.6, 43.6)

26.3 (20.4, 32.2)

  Inner regional

32.5 (24.3, 40.7)

45.2 (36.5, 53.9)

22.2 (14.9, 29.5)

  Outer regional, remote, very remote

39.0 (34.3, 43.7)

36.8 (32.2, 41.4)

24.2 (20.1, 28.3)

Education status

  Currently studying

37.0 (32.7, 41.4)

39.1 (34.7, 43.5)

23.8 (20.0, 27.7)

  Not currently studying

37.6 (31.9, 43.3)

36.9 (31.2, 42.6)

25.5 (20.3, 30.6)

  2018–19 NATSIHS (n = 529)3

66.2 (62.1, 70.2)

26.5 (22.7, 30.2)

7.4 (5.1, 9.6)

Age group

  15–16 years

73.2 (68.7, 77.7)

22.3 (18.0, 26.5)

4.6 (2.4, 6.7)

  17 years

49.4 (41.5, 57.2)

36.5 (29.0, 44.1)

14.1 (8.6, 19.6)

Sex

  Male

69.3 (63.9, 74.8)

23.1 (18.1, 28.1)

7.6 (4.5, 10.7)

  Female

62.7 (56.7, 68.7)

30.2 (24.5, 35.8)

7.1 (4.0, 10.3)

Remoteness

  Major cities

62.7 (54.7, 70.6)

28.9 (21.4, 36.3)

8.5 (3.9, 13.0)

  Inner regional

62.9 (53.6, 72.1)

–

–

  Outer regional, remote, very remote

69.1 (63.7, 74.6)

–

–

Education status

  Currently studying

67.4 (62.9, 71.9)

25.8 (21.6, 29.9)

6.9 (4.4, 9.3)

  Not currently studying

61.3 (52.0, 70.6)

29.2 (20.6, 37.9)

9.4 (3.9, 15.0)

Total population

  2007–08 NHS (n = 963)4

35.2 (32.2, 38.2)

42.6 (39.4, 45.7)

22.2 (19.6, 24.9)

Age group

  15–16 years

37.2 (33.5, 41.0)

45.1 (41.2, 48.9)

17.7 (14.7, 20.6)

  17 years

31.2 (26.1, 36.2)

37.7 (32.4, 42.9)

31.2 (26.1, 36.2)

Sex

  Male

37.3 (32.8, 41.7)

41.0 (36.5, 45.5)

21.7 (17.9, 25.5)

  Female

33.3 (29.2, 37.4)

44.0 (39.7, 48.3)

22.7 (19.0, 26.3)

Remoteness

  Major cities

34.9 (31.2, 38.6)

41.8 (38.0, 45.6)

23.3 (20.0, 26.6)

  Inner regional

36.4 (30.0, 42.7)

45.5 (38.9, 52.0)

18.2 (13.1, 23.3)

  Outer regional, remote

34.6 (25.5, 43.8)

41.3 (31.9, 50.8)

24.0 (15.8, 32.3)

Education status

  Currently studying

35.7 (32.5, 38.9)

43.0 (39.7, 46.3)

21.4 (18.6, 24.1)

  Not currently studying

30.9 (21.7, 40.1)

39.2 (29.4, 48.9)

29.9 (20.8, 39.0)

  2011–12 NHS (n = 937)5

30.5 (27.6, 33.5)

48.9 (45.7, 52.1)

20.6 (18.0, 23.2)

Age group

  15–16 years

33.7 (30.0, 37.5)

50.5 (46.5, 54.5)

15.8 (12.9, 18.7)

  17 years

24.6 (20.0, 29.3)

45.9 (40.5, 51.3)

29.5 (24.5, 34.4)

Sex

  Male

30.2 (25.9, 34.4)

48.1 (43.4, 52.7)

21.8 (17.9, 25.6)

  Female

30.9 (26.8, 34.9)

49.6 (45.2, 54.0)

19.6 (16.1, 23.1)

Remoteness

  Major cities

29.2 (25.6, 32.9)

49.7 (45.7, 53.6)

21.1 (17.8, 24.3)

  Inner regional

30.1 (22.9, 37.3)

51.9 (44.1, 59.8)

18.0 (11.9, 24.0)

  Outer regional, remote

35.5 (28.3, 42.7)

43.2 (35.7, 50.7)

21.3 (15.1, 27.5)

Education status

  Currently studying

31.1 (28.0, 34.2)

48.9 (45.6, 52.3)

20.0 (17.3, 22.7)

  Not currently studying

25.3 (16.3, 34.2)

48.4 (38.1, 58.6)

26.4 (17.3, 35.4)

  2014–15 NHS (n = 834)6

38.0 (34.7, 41.3)

43.4 (40.0, 46.8)

18.6 (15.9, 21.2)

Age group

  15–16 years

39.4 (35.3, 43.4)

46.6 (42.4, 50.7)

14.1 (11.2, 17.0)

  17 years

35.4 (29.7, 41.0)

37.1 (31.5, 42.8)

27.5 (22.3, 32.7)

Sex

  Male

40.8 (36.2, 45.5)

44.1 (39.4, 48.8)

15.1 (11.7, 18.5)

  Female

35.0 (30.3, 39.7)

42.7 (37.8, 47.5)

22.3 (18.3, 26.4)

Remoteness

  Major cities

37.5 (33.4, 41.7)

44.5 (40.3, 48.8)

17.9 (14.7, 21.2)

  Inner regional

32.7 (25.7, 39.8)

45.0 (37.6, 52.5)

22.2 (16.0, 28.5)

  Outer regional, remote

46.6 (38.1, 55.1)

36.8 (28.6, 45.1)

16.5 (10.2, 22.9)

Education status

  Currently studying

38.2 (34.8, 41.6)

43.8 (40.3, 47.3)

18.0 (15.3, 20.7)

  Not currently studying

34.7 (21.3, 48.0)

36.7 (23.2, 50.3)

28.6 (15.9, 41.2)

  2017–18 NHS (n = 878)7

46.5 (43.2, 49.8)

39.6 (36.4, 42.9)

13.9 (11.6, 16.2)

Age group

  15–16 years

48.5 (44.3, 52.6)

39.9 (35.8, 44.0)

11.6 (9.0, 14.3)

  17 years

43.0 (37.5, 48.4)

39.2 (33.8, 44.5)

17.9 (13.7, 22.1)

Sex

  Male

49.1 (44.4, 53.8)

38.4 (33.8, 42.9)

12.6 (9.4, 15.7)

  Female

43.9 (39.2, 48.5)

40.9 (36.3, 45.5)

15.2 (11.9, 18.6)

Remoteness

  Major cities

44.5 (40.3, 48.7)

42.4 (38.3, 46.6)

13.1 (10.3, 15.9)

  Inner regional

52.9 (45.4, 60.5)

31.8 (24.8, 38.8)

15.3 (9.9, 20.7)

  Outer regional, remote

46.4 (38.8, 54.0)

38.6 (31.1, 46.0)

15.1 (9.6, 20.5)

Education status

  Currently studying

46.9 (43.5, 50.4)

39.7 (36.3, 43.0)

13.4 (11.0, 15.7)

  Not currently studying

40.6 (28.6, 52.7)

39.1 (27.1, 51.0)

20.3 (10.4, 30.2)

  1. – indicates that data were not presented due to small numbers in one or more categories
  2. CI, confidence intervals; NATSIHS, National Aboriginal and Torres Strait Islander Health Survey; NHS, National Health Survey
  3. 1. Australian Bureau of Statistics (2020) Australian Aboriginal and Torres Strait Islander Health Survey (Core component) 2012–13, DataLab
  4. 2. Australian Bureau of Statistics, Australian Statistical Geography Standard Remoteness Structure, ABS, Canberra. Available: https://www.abs.gov.au/websitedbs/d3310114.nsf/home/remoteness+structure
  5. 3. Australian Bureau of Statistics (2020) National Aboriginal and Torres Strait Islander Health Survey, 2018–19, DataLab
  6. 4. Australian Bureau of Statistics (2020) National Health Survey 2007–08, DataLab
  7. 5. Australian Bureau of Statistics (2020) National Health Survey 2011–12, DataLab
  8. 6. Australian Bureau of Statistics (2020) National Health Survey 2014–15, DataLab
  9. 7. Australian Bureau of Statistics (2020) National Health Survey 2017–18, DataLab
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BMC Medical Research Methodology

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