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Table 4 Results of logistic regression prediction of RTF impact on victim’ family

From: Identifying risk factors for household burdens of road traffic fatalities: regression results from a cross-sectional survey in Taiwan

  Reduced Family income Occupation Impact Family Life Impact Relocation
ORα 95% CIβ p valueγ sigδ. OR 95% CI p value sig. OR 95% CI p value sig. OR 95% CI p value sig.
Gender
 male 1.000     1.000     1.000     1.000    
 female 1.055 0.672–1.654 0.817   1.090 0.756–1.573 0.644   1.431 0.864–2.369 0.164   1.484 0.933–2.358 0.095 < 0.1
Age 0.996 0.973–1.019 0.710   0.998 0.979–1.017 0.796   0.992 0.967–1.017 0.524   0.973 0.951–0.996 0.021 < 0.05
Relationship
 parent 1.000     1.000     1.000     1.000    
 spouse 1.755 1.030–2.992 0.039 <0.05 0.865 0.540–1.385 0.546   1.750 0.851–3.600 0.128   1.693 0.947–3.027 0.076 < 0.1
 offspring 0.752 0.438–1.290 0.300   0.945 0.645–1.384 0.772   0.834 0.511–1.362 0.468   0.764 0.445–1.313 0.330  
 grandparent 0.000 0-Inf 0.993   25677839.540 0-Inf 0.994   6823240.234 0-Inf 0.995   0.000 0-Inf 0.997  
 grandchild 0.000 0-Inf 0.984   0.820 0.129–5.229 0.834   4934945.060 0-Inf 0.988   1.431 0.137–14.937 0.765  
 sibling 1.107 0.495–2.474 0.805   0.939 0.505–1.744 0.841   0.627 0.300–1.311 0.215   0.692 0.292–1.640 0.403  
 others 0.981 0.275–3.503 0.977   0.700 0.269–1.819 0.464   0.733 0.248–2.170 0.575   0.672 0.180–2.517 0.556  
Education
 elementary or under 1.000     1.000     1.000     1.000    
 junior high 1.126 0.546–2.319 0.748   1.275 0.707–2.300 0.419   1.874 0.865–4.062 0.111   1.251 0.573–2.732 0.574  
 senior high 1.245 0.613–2.529 0.544   1.157 0.649–2.062 0.621   1.758 0.821–3.764 0.146   0.981 0.455–2.114 0.960  
 college 1.584 0.698–3.590 0.271   1.045 0.538–2.033 0.896   1.236 0.517–2.957 0.634   1.452 0.620–3.400 0.391  
 graduate or above 2.387 0.539–10.569 0.252   0.860 0.313–2.364 0.771   1.028 0.282–3.752 0.967   1.062 0.274–4.118 0.930  
Occupation
 farming 1.000     1.000     1.000     1.000    
 mining 0.000 0-Inf 0.993   11293292.180 0-Inf 0.995   3487607.413 0-Inf 0.995   0.000 0-Inf 0.997  
 manufacturing 1.071 0.457–2.512 0.875   0.786 0.423–1.462 0.447   0.669 0.287–1.555 0.350   1.566 0.598–4.101 0.361  
 power 0.385 0.036–4.136 0.431   1.109 0.231–5.336 0.897   2591290.295 0-Inf 0.985   0.000 0-Inf 0.991  
 water 0.000 0-Inf 0.983   10249867.050   0.988   3025100.794 0-Inf 0.988   0.000 0-Inf 0.993  
 construction 0.784 0.288–2.139 0.635   1.999 0.964–4.144 0.063 < 0.1 0.756 0.304–1.881 0.548   1.382 0.456–4.183 0.567  
 retailing 0.584 0.216–1.576 0.288   1.343 0.631–2.858 0.444   0.451 0.166–1.224 0.118   1.177 0.400–3.468 0.767  
 transportation 0.530 0.147–1.912 0.332   1.381 0.562–3.395 0.482   0.877 0.264–2.909 0.830   1.239 0.300–5.119 0.768  
 restaurant 1.008 0.358–2.836 0.988   1.600 0.692–3.696 0.272   0.349 0.124–0.987 0.047 < 0.05 1.183 0.380–3.677 0.772  
 information 0.582 0.158–2.149 0.417   1.538 0.565–4.184 0.399   0.630 0.171–2.326 0.488   0.976 0.246–3.872 0.973  
 finance 1.018 0.307–3.370 0.977   1.570 0.596–4.140 0.361   2.092 0.393–11.151 0.387   1.014 0.280–3.674 0.983  
 real estate 1.824 0.262–12.686 0.543   6421323.261 0-Inf 0.986   0.439 0.042–4.537 0.489   2.664 0.376–18.880 0.327  
 technology 0.886 0.274–2.867 0.840   0.876 0.383–2.004 0.754   1.012 0.322–3.181 0.984   1.368 0.402–4.657 0.616  
 supporting 0.674 0.185–2.457 0.550   0.372 0.138–1.004 0.051 < 0.1 0.410 0.113–1.484 0.174   0.000 0-Inf 0.983  
 public services 0.589 0.162–2.148 0.423   0.541 0.227–1.292 0.167   0.720 0.229–2.260 0.573   1.180 0.335–4.163 0.796  
 education 1.106 0.306–3.998 0.877   0.443 0.157–1.248 0.124   1.256 0.211–7.463 0.802   1.368 0.350–5.347 0.652  
 healthcare 0.610 0.184–2.022 0.419   1.072 0.429–2.677 0.882   1.237 0.323–4.741 0.756   3.164 0.989–10.125 0.052 < 0.1
 entertainment 1.155 0.319–4.181 0.827   0.909 0.323–2.559 0.857   0.557 0.138–2.250 0.412   2.162 0.603–7.744 0.236  
 others 1.032 0.388–2.740 0.950   0.859 0.399–1.850 0.698   1.846 0.512–6.663 0.349   1.392 0.460–4.213 0.558  
 no idea 0.000 0-Inf 0.992   0.000 0-Inf 0.991   0.000 0-Inf 0.989   0.000 0-Inf 0.995  
 no answer NA NA NA NA 7212970.713 0-Inf 0.995   1067322.415 0-Inf 0.995   0.000 0-Inf 0.997  
Job Position
 manager 1.000     1.000     1.000     1.000    
 professional 0.975 0.371–2.564 0.960   1.307 0.656–2.603 0.446   1.455 0.571–3.709 0.433   0.722 0.305–1.713 0.461  
 technician 1.046 0.390–2.804 0.929   1.299 0.623–2.708 0.485   0.844 0.330–2.159 0.723   0.816 0.334–1.994 0.656  
 supporting 1.260 0.439–3.617 0.668   0.686 0.321–1.467 0.331   1.088 0.369–3.206 0.879   0.556 0.207–1.490 0.243  
 sales 1.332 0.581–3.055 0.499   1.750 0.967–3.168 0.065 < 0.1 2.206 0.985–4.943 0.055 < 0.1 0.771 0.373–1.596 0.484  
 craftsman 0.791 0.234–2.677 0.707   0.738 0.317–1.721 0.482   0.456 0.161–1.285 0.137   1.006 0.338–2.996 0.992  
 mechanical 0.823 0.248–2.730 0.750   0.938 0.390–2.254 0.886   0.815 0.249–2.667 0.735   0.102 0.012–0.877 0.038 < 0.05
 labor 0.975 0.425–2.238 0.953   0.884 0.496–1.576 0.677   0.904 0.420–1.946 0.796   0.576 0.272–1.220 0.150  
 no answer NA NA NA NA 0.000 0-Inf 0.992   0.000 0-Inf 0.995   0.433 0-Inf 1.000  
Personal income 0.837 0.719–0.974 0.022 < 0.05 0.971 0.910–1.036 0.379   1.019 0.935–1.112 0.664   0.969 0.884–1.062 0.501  
Cohabitants 0.873 0.665–1.147 0.330   0.772 0.627–0.950 0.015 < 0.05 0.964 0.729–1.276 0.799   0.999 0.765–1.305 0.994  
Dependents 1.067 0.883–1.290 0.499   1.212 1.027–1.431 0.023 < 0.05 1.019 0.816–1.273 0.866   0.847 0.685–1.046 0.123  
Years since RTF 1.026 0.958–1.099 0.465   1.025 0.966–1.089 0.413   0.973 0.896–1.057 0.522   1.089 1.017–1.165 0.014 < 0.05
Emotional ties 0.976 0.782–1.218 0.829   0.801 0.686–0.935 0.005 < 0.01 0.705 0.587–0.846 0.000 < 0.001 1.008 0.819–1.241 0.939  
Financial ties 0.692 0.607–0.789 0.000 < 0.001 0.929 0.833–1.037 0.189   0.868 0.744–1.013 0.072 < 0.1 0.965 0.838–1.111 0.618  
  1. α. OR = Odds ratio
  2. β. 95% CI = 95% confidence interval
  3. γ. p value = logistic regression p-value
  4. δ. sig = statistical significance
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