Table 2 Poisson regression results using quartile categories of explanatory variables.
Variable name | unit | Exp (coefficient of explanatory variable) | P-value of Wald test (P-value for trend) | Residual Deviance | AIC | ||
|---|---|---|---|---|---|---|---|
estimate | 95% CI | ||||||
Proportion of estimated external radiation does ≥ 1 mSv | proportion among surveyed people | Q1 | Reference | (0.757) | 46.554 | 132.62 | |
Q2 | 1.169 | (0.584, 2.340) | 0.659 | ||||
Q3 | 1.059 | (0.508, 2.211) | 0.878 | ||||
Q4 | 1.149 | (0.602, 2.196) | 0.673 | ||||
Distance from the FNPP | 1 km | Q1 | Reference | (0.370) | 45.924 | 131.99 | |
Q2 | 0.958 | (0.631, 1.454) | 0.840 | ||||
Q3 | 0.945 | (0.537, 1.664) | 0.845 | ||||
Q4 | 0.622 | (0.221, 1.747) | 0.368 | ||||
Altitude | 100 m | Q1 | Reference | (0.623) | 43.624 | 129.69 | |
Q2 | 1.439 | (0.964, 2.149) | 0.075 | ||||
Q3 | 1.183 | (0.612, 2.286) | 0.618 | ||||
Q4 | 1.299 | (0.612, 2.756) | 0.495 | ||||
Population density | 1000 persons per square kilometre | Q1 | Reference | (0.560) | 45.536 | 131.60 | |
Q2 | 1.159 | (0.257, 5.227) | 0.848 | ||||
Q3 | 1.653 | (0.390, 7.011) | 0.495 | ||||
Q4 | 1.357 | (0.333, 5.520) | 0.670 | ||||
Proportion of workers in agriculture, forestry, and fisheries industry | proportion among workers | Q1 | Reference | (0.970) | 44.080 | 130.14 | |
Q2 | 0.889 | (0.546, 1.448) | 0.638 | ||||
Q3 | 0.547 | (0.239, 1.252) | 0.153 | ||||
Q4 | 1.198 | (0.486, 2.953) | 0.695 | ||||
Unemployment | proportion among labour force | Q1 | Reference | (0.371) | 43.628 | 129.69 | |
Q2 | 0.944 | (0.328, 2.722) | 0.916 | ||||
Q3 | 1.351 | (0.488, 3.745) | 0.562 | ||||
Q4 | 1.428 | (0.510, 4.001) | 0.498 | ||||
Proportion of professional and technical workers | proportion among workers | Q1 | Reference | (0.995) | 45.785 | 131.85 | |
Q2 | 1.239 | (0.346, 4.441) | 0.742 | ||||
Q3 | 0.880 | (0.256, 3.021) | 0.839 | ||||
Q4 | 1.125 | (0.356, 3.559) | 0.841 | ||||