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Table 2 Description of selected clusters

From: A spatially explicit analysis of chronic diseases in small areas: a case study of diabetes in Santiago, Chile

Cluster number

Diabetes[%][IQR]

Distance[m] [IQR]

Low income[%] [IQR]

Male population[%] [IQR]

Professionals[%] [IQR]

30–45 years[%]

[IQR]

46–60 years[%] [IQR]

  

1

2.21

[2.04–2.43]

3443

[3942–3067]

3.94

[3.62–7.56]

45.30

[44.50–46.39]

44.96

[40.60–47.61]

28.28

[24.73–30.87]

26.08

[24.51–29.72]

10.87

[8.58–23.41]

148,918

6

1.80

[1.43–2.17]

1454

[974–1937]

4.34

[2.18–5.44]

45.38

[44.46- 46.33]

43.91

[40.46–46.96]

30.20

[26.62–33.85]

25.65

[24.81–33.85]

15.65

[11.70–23.50]

487,850

3

3.88

[3.43–4.34]

657

[410–943]

30.03

[26.01–34.06]

48.51

[47.70–49.27]

7.31

[4.78–11.94]

30.26

[28.56–32.20]

26.13

[24.71–27.64]

81.97

[75.39–86.85]

3,052,920

8

5.81

[5.40–6.37]

578

[340–869]

31.72

[28.56–46.39]

49.05

[48.23–49.74]

4.84

[3.69–7.76]

29.27

[27.88–31.32]

25.96

[24.19–26.98]

84.81

[79.22–91.31]

861,270