Table 5. Multiple Logistic Regression Predictors of the Total Score of SF-36 in a Population Sample of a Health Unit, Salvador, Bahia, Brazil.
| Variables | B | Standard error | Wald | df | P | Crude OR (IC 95%) | |
|---|---|---|---|---|---|---|---|
| Severe pain | -0.785 | 0.358 | 4.797 | 1 | 0.029 | 0.456 (0.226 - 0.921) | |
| Constant | 0.241 | 0.201 | 1.433 | 1 | 0.231 | 1.273 | |
| Pain in shoulders | -0.890 | 0.331 | 7.217 | 1 | 0.007 | 0.411 (0.215 - 0.786) | |
| Constant | 0.223 | 0.173 | 1.660 | 1 | 0.198 | 1.250 | |
| Pain in dorsal region | -1.188 | 0.420 | 7.979 | 1 | 0.005 | 0.305 (0.134 - 0.695) | |
| Constant | 0.166 | 0.160 | 1.074 | 1 | 0.300 | 1.181 | |
| Pain in arms | -0.716 | 0.421 | 2.890 | 1 | 0.089 | 0.489 (0.214 - 1.116) | |
| Constant | 0.074 | 0.157 | 0.222 | 1 | 0.637 | 1.077 | |
| DN4 score (neuropathic pain) |
-1.326 | 0.314 | 17.867 | 1 | < 0.001 | 0.266 (0.144 - 0.491) | |
| Constant | 0.773 | 0.247 | 9.817 | 1 | 0.002 | 2.167 |