Table 4.
Results of a negative binomial regression model with the superstition index as the dependent variable.
| Independent variable | β | Standard error | Wald χ 2 | P | Odds ratio | 95% Confidence Interval |
|---|---|---|---|---|---|---|
| Intercept | 1.827 | 0.3565 | 26.255 | <0.001** | 6.212 | 3.089 to 12.494 |
| Sex | ||||||
| Female | 0.423 | 0.1450 | 8.491 | 0.004* | 1.526 | 1.148 to 2.028 |
| Male | ref. | |||||
| Age | <0.001 | 0.0052 | 0.004 | 0.950 | 1.000 | 0.990 to 1.011 |
| Place of residence (higher = more rural) | 0.126 | 0.1028 | 1.510 | 0.219 | 1.135 | 0.928 to 1.388 |
| Average monthly income | −0.058 | 0.0747 | 0.599 | 0.439 | 0.944 | 0.815 to 1.093 |
| Level of education | −0.073 | 0.0489 | 2.249 | 0.134 | 0.929 | 0.844 to 1.023 |
| Group | ||||||
| Epilepsy | 0.195 | 0.1826 | 1.146 | 0.284 | 1.216 | 0.850 to 1.739 |
| PD | −0.438 | 0.2610 | 2.813 | 0.093 | 0.645 | 0.387 to 1.077 |
| MS | 0.080 | 0.2117 | 0.144 | 0.704 | 1.084 | 0.716 to 1.641 |
| HCs | ref. | |||||
| Negative binomial | 1.606 | 0.1470 |
HCs, healthy controls; MS, multiple sclerosis; PD, Parkinson’s disease.