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Table 3 Adjusted odds ratios (OR) for all, minor (<30 disability days) and major (≥ 30 disability days) injuries by demographic and socio-economic factors

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

Factors Total All injuries Major injuries Minor injuries
  Sample No. ORa (95% CI) No. ORa (95% CI) No. ORa (95% CI)
Area        
Dar es Salaam (Urban) 8188 206 1.0 68 1.0 138 1.0
Hai (Rural) 7035 303 1.66 (1.37 – 2.02) 69 1.09 (0.75 – 1.58) 234 1.94 (1.54 – 2.44)
    p < 0.001   p = 0.65   p < 0.001
Age*        
0–4 1720 49 1.28 (0.83 – 1.99) 13 0.85 (0.38 – 1.91) 36 1.53 (0.91 – 2.57)
5–14 3711 140 1.23 (0.98 – 1.56) 29 0.88 (0.56 – 1.40) 111 1.37 (1.04 – 1.79)
15–44 7140 212 1.0 59 1.0 153 1.0
45+ 2651 108 1.25 (0.97 – 1.59) 36 1.57 (0.99 – 2.47) 72 1.12 (0.84 – 1.50)
    p = 0.20   p = 0.10   p = 0.11
Sex        
Females 7844 196 1.0 56 1.0 140 1.0
Males 7379 313 1.75 (1.46 – 2.12) 81 1.57 (1.11 – 2.21) 232 1.81 (1.46 – 2.25)
    p < 0.001   p < 0.01   p < 0.001
Education**        
None 3546 97 1.0 30 1.0 67 1.0
Primary 9674 362 1.50 (1.09 – 2.06) 92 1.02 (0.59 – 1.74) 270 1.77 (1.21 – 2.59)
Secondary+ 2001 50 1.18 (0.77 – 1.82) 15 0.79 (0.37 – 1.71) 35 1.41 (0.84 – 2.36)
    p = 0.01   p = 0.67   p < 0.01
Poverty quintiles (n = 12320)***        
1 (Most poor) 2471 95 1.13 (0.82 – 1.56) 22 1.05 (0.56 – 1.96) 73 1.15 (0.80 – 1.66)
2 2462 78 0.92 (0.66 – 1.29) 21 1.01 (0.52 – 1.97) 57 0.89 (0.61 – 1.32)
3 2466 81 0.96 (0.69 – 1.32) 23 1.11 (0.61 – 2.01) 58 0.91 (0.62 – 1.32)
4 2462 72 0.86 (0.61 – 1.22) 25 1.24 (0.67 – 2.29) 47 0.74 (0.49 – 1.12)
5 (Least poor) 2459 83 1.0 20 1.0 63 1.0
    p = 0.49   p = 0.96   p = 0.19
  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