Table 4.
Results of multiple linear regression analysis to examine demographic factors related to risk perception
| Predictor | Coefficient | P | 95% CI |
|---|---|---|---|
| Age | −0.091 | 0.350 | −0.281-0.100 |
| Gender | |||
| Female | 4.234 | 0.008 | 1.095-7.373 |
| Male | - | - | - |
| Marital status | |||
| Married | 2.262 | 0.219 | −1.354-5.878 |
| Single | - | - | - |
| Education | |||
| Diploma | −1.406 | 0.727 | −9.304-6.493 |
| academic education | −0.100 | 0.977 | −6.835-6.635 |
| High school | - | - | - |
| Job | |||
| Student | 3.814 | 0.169 | −9.260-1.632 |
| Office worker | 0.292 | 0.877 | −3.991-3.407 |
| Factory worker andself-employed | −7.065 | 0.013 | −12.657-−1.473 |
| Housewife and retiree | - | - | - |
Coefficient=Regression coefficient, P=P-value for the regression coefficient. CI=Confidence interval for the regression coefficient, Bold=Statistically significant