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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