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Table 2 Participants’ characteristics

From: Exploring factors affecting individual GPS-based activity space and how researcher-defined food environments represent activity space, exposure and use of food outlets

Characteristics

n (%)

Gender

 Female

47 (72)

 Male

18 (27)

Age group (years)

 18–20

11 (17)

 21–30

12 (18)

 31–40

16 (25)

 41–50

16 (25)

  > 50

10 (15)

Ethnicity

 White

39 (60)

 Non-white

26 (40)

Education attainment

 A Levels

16 (23)

 Diploma

4 (6)

 Degree

20 (31)

 Postgraduate degree

26 (40)

Place of work

 Away from home

60 (92)

 Home

5 (8)

Transport mode from home to workplace

 Walking

12 (18)

 Bus

9 (14)

 Car

39 (60)

 Bicycle

2 (3)

 Train

3 (5)

Personal annual income

 Under £10,000

14 (22)

 £10,000—< £25,000

22 (34)

 £25,000—< £50,000

24 (37)

 £50,000—< £100,000

3 (5)

 £100,000 and more

1 (2)

Household annual income

 Under £10,000

11 (17)

 £10,000–< £25,000

10 (15)

 £25,0000–< £50,000

27 (42)

 £50,000–< £100,000

15 (23)

 £100,000 + 

2 (3)

Working hours/day

 Under 8 h

28 (43)

 8 h to less than 12

31 (48)

 12 h and more

6 (9)

IMD quintile

 1 (most deprived)

5 (8)

 2

19 (29)

 3

15 (23)

 4

10 (15)

 5 (least deprived)

16 (25)

Weight status

 Underweight

0 (0)

 Healthy

41 (63)

 Overweight

14 (22)

 Obese

10 (15)

Occupational social class

 Managerial and professional

33 (51)

 Intermediate

11 (17)

 Routine and manual

21 (32)

Age (years) Mean = 37, [Min = 19; Max = 67], SD = 13

BMI (kg/m2) Mean = 25, [Min = 18; Max = 37], SD = 5

AS (km2) Mean = 62, [Min = 6; Max = 284], SD = 58

Euclidean distance (home-workplace) Mean = 5, [Min = 0, Max = 21], SD = 5