Table 5. Poisson regression model with robust variance in (n = 451) municipalities in Southern Brazil.
| Parameters | Estimate | Standard error | z-value | p-value | RI | 95%CI | |
|---|---|---|---|---|---|---|---|
| (Intercept) | 0.6763 | 0.1090 | 6.2061 | 0.0000 | 1.9667 | ||
| Female | 0.1376 | 0.0626 | 2.1967 | 0.0280 | 1.1475 | 1.0149 | 1.2974 |
| Education: technical education | -0.4535 | 0.1788 | -2.5361 | 0.0112 | 0.6354 | 0.4475 | 0.9021 |
| Education: technical education | -0.1134 | 0.0851 | -1.3323 | 0.1828 | 0.8928 | 0.7556 | 1.0549 |
| Education: graduate | -0.0573 | 0.0999 | -0.5739 | 0.5660 | 0.9443 | 0.7764 | 1.1485 |
| Low WAI | 0.6933 | 0.2050 | 3.3817 | 0.0007 | 2.0002 | 1.3384 | 2.9894 |
| Moderate WAI | 0.4950 | 0.0868 | 5.7035 | 0.0000 | 1.6406 | 1.3839 | 1.9448 |
| Use of medicines in the past 12 months | 0.3924 | 0.0643 | 6.1008 | 0.0000 | 1.4806 | 1.3052 | 1.6795 |
| Increased risk | -0.0421 | 0.0702 | -0.5996 | 0.5488 | 0.9588 | 0.8355 | 1.1002 |
| WC in substantially increased risk | 0.1449 | 0.0738 | 1.9630 | 0.0496 | 1.1559 | 1.0002 | 1.3358 |
RI: relative increase in mean; 95%CI: interval with 95% confidence; WAI: work ability index; WC: waist circumference.
Values with statistical significance are shown in bold.