Skip to main content

Table 2 Measures of supermarket access

From: Does the choice of neighbourhood supermarket access measure influence associations with individual-level fruit and vegetable consumption? A case study from Glasgow

 

Mean (s.d.)

Median (IQR)

Range

Proximity via road network from:

   

Geometric centroid

1.18 (0.59)

1.06 (0.74–1.57)

0.02–3.78

Population-weighted centroid

1.17 (0.58)

1.06 (0.75–1.56)

0.18–3.25

Postal code

1.16 (0.62)

1.07 (0.70–1.56)

0.02–3.26

Percentage of individuals with a supermarket within:*

 

0.4 km Euclidean buffer

23.5%

  

1 km Euclidean buffer

72.7%

  

2 km Euclidean buffer

100%

  

0.4 km road network buffer

8.5%

  

1 km road network buffer

42.8%

  

2 km road network buffer

87.6%

  

Count of a supermarket within:*

   

0.4 km Euclidean buffer

0.29 (0.60)

0 (0–0)

0–5

1 km Euclidean buffer

1.42 (1.45)

1 (0–2)

0–9

2 km Euclidean buffer

5.31 (3.26)

5 (3–7)

1–19

3 km Euclidean buffer

11.53 (5.47)

9 (8–15)

3–26

4 km Euclidean buffer

20.36 (7.74)

18 (14–28)

8–35

5 km Euclidean buffer

29.70 (8.96)

31 (22–37)

12–45

0.4 km road network buffer

0.10 (0.36)

0 (0–0)

0–4

1 km road network buffer

0.70 (1.04)

0 (0–1)

0–7

2 km road network buffer

2.82 (2.82)

2 (1–4)

0–16

3 km road network buffer

6.51 (4.25)

6 (4–8)

0–22

4 km road network buffer

11.79 (6.21)

10 (7–16)

2–28

5 km road network buffer

18.81 (7.98)

17 (12–27)

4–36

Kernel density estimates

   

0.4 km

0.57 (1.58)

0 (0–0)

0–12.75

1 km

0.48 (0.64)

0.27 (0–0.72)

0–5.00

2 km

0.43 (0.34)

0.38 (0.23–0.52)

0–2.14

3 km

0.43 (0.25)

0.35 (0.28–0.53)

0.09–1.51

4 km

0.42 (0.20)

0.38 (0.28–0.49)

0.12–1.10

5 km

0.41 (0.17)

0.37 (0.27–0.53)

0.14–0.84

  1. *buffers and kernel density estimates based on individual’s postal code locations.