Table 1.
Poisson regression results using untransformed explanatory variables.
| Variable name | unit | Exp (coefficient of explanatory variable) | p-value of Wald test | Residual Deviance | AIC | |
|---|---|---|---|---|---|---|
| Estimate | 95% CI | |||||
| (Null model) | NA | NA | NA | 46.852 | 126.92 | |
| Proportion of estimated external radiation dose ≥1 mSv | proportion among surveyed people | 1.041 | (0.616, 1.758) | 0.882 | 46.830 | 128.89 |
| Distance from the FNPP | 1 km | 0.997 | (0.988, 1.006) | 0.503 | 46.399 | 128.46 |
| Altitude | 100 m | 1.078 | (0.944, 1.231) | 0.269 | 45.649 | 127.71 |
| Population density | 1000 persons per square kilometre | 1.243 | (0.274, 5.647) | 0.778 | 46.773 | 128.84 |
| Proportion of workers in agriculture, forestry and fisheries industries | proportion among workers | 0.979 | (0.939, 1.021) | 0.317 | 45.800 | 127.86 |
| Unemployment | proportion among labour force | 9.823 × 104 | (0.006, 1.749 × 1012) | 0.177 | 45.025 | 127.09 |
| Proportion of professional and technical workers | proportion among workers | 3.091 | (0.001, 7.773 × 103) | 0.778 | 46.772 | 128.84 |
Each row represents a univariate Poisson regression model using one explanatory variable shown in the 1st column (only the null model does not have any explanatory variable). Estimates of intercept terms were omitted. n = 59 (municipalities) for all of the models.
If the p-value of Wald test is small, it indicates that the coefficient is considerably different from zero. AIC, Akaike information criterion; FNPP, Fukushima Daiichi Nuclear Power Plant; N/A, not applicable; CI, confidence interval.