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Table 2 Descriptive statistics for NC on the Move analytic sample study participants (n = 94)

From: Associations between BMI and home, school and route environmental exposures estimated using GPS and GIS: do we see evidence of selective daily mobility bias in children?

  

Count (%), or median, IQR, unless otherwise stated

  

Girls

Boys

All

Number of children

 

46 (48.9)

48 (51.1)

94 (100.0)

Number of trips

 

392 (50.6)

383 (49.4)

775 (100.0)

Age in years (mean, SD)

 

7.96, 1.62

8.13, 2.10

8.04, 1.85

Child BMI z-score a

 

0.80, −0.05–1.78

0.95, 0.14–1.67

0.88, −0.04–1.72

Child race

White

38 (82.6)

41 (85.4)

79 (84.0)

Household income

Up to $15,000

2 (4.3)

5 (10.4)

7 (7.4)

$15,001 to $30,000

5 (10.9)

10 (20.8)

15 (16.0)

$30,001 to $60,000

10 (21.7)

4 (8.3)

14 (14.9)

$60,001, to $90,000

10 (21.7)

16 (33.3)

26 (27.7)

More than $90,001

19 (41.3)

12 (25.0)

31 (33.0)

Parent education level

1st to 8th grade

1 (2.2)

0 (0.0)

1 (1.1)

9th to 12th grade

2 (4.3)

3 (6.3)

5 (5.3)

Vocational or some college

8 (17.4)

14 (29.2)

22 (23.4)

College graduate

19 (41.3)

13 (27.1)

32 (34.0)

Graduate or professional school

16 (34.8)

18 (37.5)

34 (36.2)

Child’s most frequent mode of travel to school per week

On foot

1 (2.2)

2 (4.2)

3 (3.2)

Bus

12 (26.1)

14 (29.2)

26 (27.7)

Car

25 (54.3)

27 (56.3)

52 (55.3)

Multi-modalb

8 (17.4)

5 (10.4)

13 (13.9)

  1. aBMI z-scores calculated relative to age-specific US national height and weight distributions, from the Centers for Disease Control and Prevention (CDC).
  2. bDefined as the equal use of two or more different travel modes for journeys to and from school per week. NB All multi-modal commute patterns contained at least one form of motorised transport in this sample.