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Table 1 Characteristics of the three GPS datasets arising from application of the three inclusion criteria

From: Are disadvantaged children more likely to be excluded from analysis when applying global positioning systems inclusion criteria?

 

Full sample n (% of full sample)

Criterion 1 n (% of criterion 1 sample)

p-valuea

Criterion 1 (% of full sample)

Criterion 2 n (% of criterion 2 sample)

p-valuea

Criterion 2 (% of full sample)

Criterion 3 n (% of criterion 3 sample)

p-valuea

Criterion 3 (% of full sample)

Total

253 (100.0)

236 (100.0)

 

93.3

85 (100.0)

 

33.6

48 (100.0)

 

19.0

School (SES)

  

0.345

  

0.008

  

0.000

 

 1 (low)

30 (11.9)

25 (10.6)

 

83.3

3 (3.5)

 

10.0

3 (6.3)

 

10.0

 2 (low)

23 (9.1)

22 (9.3)

 

95.7

4 (4.7)

 

17.4

0 (0)

 

0.0

 3 (low)

26 (10.3)

23 (9.7)

 

88.5

7 (8.2)

 

26.9

3 (6.3)

 

11.5

 4 (low)

26 (10.3)

25 (10.6)

 

96.2

6 (7.1)

 

23.1

1 (2.1)

 

3.8

 5 (medium)

30 (11.9)

29 (12.3)

 

96.7

12 (14.1)

 

40.0

8 (16.7)

 

26.7

 6 (medium)

25 (9.7)

23 (9.7)

 

92.0

13 (15.3)

 

52.0

4 (8.3)

 

16.0

 7 (high)

28 (11.1)

28 (11.9)

 

100.0

11 (12.9)

 

39.3

5 (10.4)

 

17.9

 8 (high)

13 (5.1)

12 (5.1)

 

92.3

5 (5.9)

 

38.5

4 (8.3)

 

30.8

 9 (high)

52 (20.6)

49 (20.8)

 

94.2

24 (28.2)

 

46.2

20 (41.7)

 

38.5

Sex

  

0.843

  

0.991

  

0.562

 

 Female

143 (56.5)

133 (56.4)

 

93.0

48 (56.5)

 

33.6

27 (56.3)

 

18.9

 Male

110 (43.5)

103 (43.6)

 

93.6

37 (43.5)

 

33.6

21 (43.8)

 

19.1

Age (years)

  

0.799

  

0.068

  

0.034

 

 8

4 (1.6)

4 (1.7)

 

100.0

1 (1.2)

 

25.0

1 (2.1)

 

25.0

 9

69 (27.3)

64 (27.1)

 

92.7

25 (29.4)

 

36.2

17 (35.4)

 

24.6

 10

153 (60.5)

142 (60.2)

 

92.8

45 (52.9)

 

29.4

23 (47.9)

 

15.0

 11

21 (8.3)

20 (8.5)

 

95.2

12 (14.1)

 

57.1

5 (10.4)

 

23.8

 12

4 (1.6)

4 (1.7)

 

100.0

2 (2.4)

 

50.0

2 (4.2)

 

50.0

 13

2 (0.8)

2 (0.8)

 

100.0

0 (0)

 

0.0

0 (0)

 

0.0

Ethnicity

  

0.006

  

0.008

  

0.006

 

 European

57 (22.5)

54 (22.9)

 

94.7

26 (30.6)

 

45.6

20 (41.7)

 

35.1

 Indian/Asian/other

67 (26.5)

65 (27.5)

 

97.0

30 (35.3)

 

44.8

16 (33.3)

 

23.9

 Māori

31 (12.3)

28 (11.9)

 

90.3

4 (4.7)

 

12.9

0 (0)

 

0.0

 Not stated

15 (5.9)

13 (5.5)

 

86.7

5 (5.9)

 

33.3

3 (6.3)

 

20.0

 Other Pacific Islander

45 (17.8)

42 (17.8)

 

93.3

12 (14.1)

 

26.7

4 (8.3)

 

8.9

 Samoan

38 (15.0)

34 (14.4)

 

89.5

8 (9.4)

 

21.1

5 (10.4)

 

13.2

Number of cars

  

0.829

  

0.677

  

0.873

 

 0

24 (9.5)

23 (9.7)

 

95.8

5 (5.9)

 

20.8

2 (4.2)

 

8.3

 1

106 (41.9)

100 (42.4)

 

94.3

39 (45.9)

 

36.8

20 (41.7)

 

18.9

 2

79 (31.2)

73 (30.9)

 

92.4

26 (30.6)

 

32.9

19 (39.6)

 

24.1

 ≥ 3

28 (11.1)

26 (11.0)

 

92.9

10 (11.8)

 

35.7

4 (8.3)

 

14.3

 Not stated

16 (6.3)

14 (5.9)

 

87.5

5 (5.9)

 

31.3

3 (6.3)

 

18.8

Distance to school (m)

  

0.113

  

0.117

  

0.055

 

 0–400

44 (17.4)

40 (16.9)

 

90.9

10 (11.8)

 

22.7

5 (10.4)

 

11.4

 401–800

69 (27.3)

65 (27.5)

 

94.2

27 (31.8)

 

39.1

16 (33.3)

 

23.2

 801 –1200

50 (19.8)

48 (20.3)

 

96.0

11 (12.9)

 

22.0

5 (10.4)

 

10.0

 1201–2000

35 (13.8)

34 (14.4)

 

97.1

13 (15.3)

 

37.1

6 (12.5)

 

17.1

 2001–10,000

41 (16.2)

39 (16.5)

 

95.1

18 (21.2)

 

43.9

10 (20.8)

 

24.4

 > 10,000

12 (4.7)

9 (3.8)

 

75.0

5 (5.9)

 

41.7

5 (10.4)

 

41.7

 Not stated

2 (0.8)

1 (0.4)

 

50.0

1 (1.2)

 

50.0

1 (2.1)

 

50.0

  1. ap-values from Chi square tests comparing included versus excluded participants for each criterion