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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