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Table 4 Adjusted odds ratios (OR) for transport injuries, falls and cuts or stabs by demographic and socio-economic factors

From: Injury morbidity in an urban and a rural area in Tanzania: an epidemiological survey

Factors

Total Sample

Transport injuries

Falls

Cuts/stabs

  

No.

OR (95% CI)a

No.

OR (95% CI)a

No.

OR (95% CI)a

Area

       

Dar es Salaam (Urban)

8188

68

1.0

56

1.0

38

1.0

Hai (Rural)

7035

23

0.39 (0.23 – 0.66)

83

1.56 (1.09 – 2.25)

149

4.27 (2.96 – 6.15)

   

p < 0.001

 

p = 0.01

 

p < 0.001

Age*

       

0–4

1720

5

0.52 (0.14 – 1.97)

15

2.21 (0.98 – 4.98)

5

0.35 (0.12 – 0.99)

5–14

3711

8

0.28 (0.13 – 0.63)

51

2.44 (1.58 – 3.79)

54

1.12 (0.77 – 1.62)

15–44

7140

60

1.0

41

1.0

80

1.0

45+

2651

18

1.01 (0.56 – 1.83)

32

1.98 (1.22 – 3.21)

48

1.19 (0.82 – 1.74)

   

p < 0.01

 

p < 0.001

 

p = 0.07

Sex

       

Females

7844

26

1.0

55

1.0

84

1.0

Males

7379

65

2.66 (1.64 – 4.29)

84

1.62 (1.14 – 2.30)

103

1.38 (1.03 – 1.85)

   

p < 0.001

 

p < 0.01

 

p = 0.03

Education**

       

None

3546

10

1.0

30

1.0

23

1.0

Primary

9674

67

1.76 (0.63 – 4.93)

96

1.56 (0.90 – 2.69)

151

1.61 (0.98 – 2.66)

Secondary+

2001

14

1.10 (0.34 – 3.56)

13

1.50 (0.67 – 3.38)

13

1.03 (0.48 – 2.21)

   

p = 0.15

 

p = 0.27

 

p = 0.05

Poverty quintiles (n = 12320)***

       

1 (Most poor)

2471

15

1.18 (0.56 – 2.49)

19

0.67 (0.36 – 1.22)

41

1.36 (0.81 – 2.28)

2

2462

12

0.90 (0.41 – 2.01)

24

0.85 (0.48 – 1.51)

35

1.14 (0.68 – 1.91)

3

2466

12

0.93 (0.43 – 2.01)

24

0.84 (0.48 – 1.49)

27

0.87 (0.51 – 1.48)

4

2462

13

0.99 (0.47 – 2.11)

21

0.76 (0.41 – 1.39)

26

0.86 (0.50 – 1.50)

5 (Least poor)

2459

14

1.0

27

1.0

30

1.0

   

p = 0.96

 

p = 0.74

 

p = 0.31

  1. * 1 missing subject, ** 2 missing subjects
  2. aAdjusted odds ratios from logistic regression models that included all variables in table except poverty
  3. *** Adjusted for age, sex, area and education
  4. p-value for test of heterogeneity