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Table 1 Univariate Weibull regression analysis of homicide risk in a rural setting, KwaZulu-Natal (2000–2008)

From: High rates of homicide in a rural South African population (2000–2008): findings from a population-based cohort study

 

Female

Male

Individual risk factor

Rate

HR (95 % CI)

Rate

HR (95 % CI)

Residency

    

 Resident

28.88

 

116.84

 

 Partial-resident

10.43

0.36 (0.21, 0.62)

80.75

0.68 (0.54, 0.85)

 Nonresident

12.21

1.62 (0.92, 2.87)

301.33

2.58 (2.07, 3.22)

Education

    

 None

19.92

 

57.69

 

 Primary

3.86

1.07 (0.58, 1.99)

111.37

1.92 (1.34, 2.76)

 Post-primary

25.01

1.23 (0.68, 2.22)

163

2. 92 (2.06, 4.12)

Household Socio-economic status

    

 Poorest

25.68

 

81.07

 

 Very poor

22.84

0.88 (0.38, 2.05)

105.33

1.30 (0.80, 2.09)

 Poor

18.32

0.71 (0.30, 1.69)

104.57

1.29 (0.81, 2.04))

 Less poor

22.73

0.88 (0.39, 1.97)

153.68

1.89 (1.23, 2.91)

 Least poor

19.14

0.74 (0.31, 1.76)

111.69

1.37 (0.87, 2.18)

Age group (years)

    

 15–24

18.3

 

106.34

 

 0–14

4.49

0.24 (0.08, 0.71)

1.93

0.03 (0.01, 0.10)

 25–34

6.262

1.44 (0.77, 2.71)

223.2

2. 10 (1.64, 2. 69)

 35–44

16.65

0.90 (0.39, 2.07)

220.78

2.08 (1.57, 2.77)

 45–54

23.72

1.29 (0.56, 2.97)

164.56

1.55 (1.09, 2.20)

 55–64

75.51

4.13 (2.05, 8.31)

142.67

1.34 (0.84, 2.15)

 65+

61.14

3.33 (1.72, 6.47)

134.18

1.27 (0.77, 2.07)

  1. A household socio-economic status was collected among residents only ~ 10 % missing information; homicide rate per 100,000 PYOs