Table 4 Multinomial logistic regression results for self-reported health: Including DA-level disadvantage.
From: Small area contextual effects on self-reported health: Evidence from Riverside, Calgary
| Â | Good vs. Poor/Fair | Very Good vs. Poor/Fair | Excellent vs. Poor/Fair | |||
|---|---|---|---|---|---|---|
| Â | B | O.R. (95% CI) | B | O.R. (95% CI) | B | O.R. (95% CI) |
DA disadvantage | -.283 | 0.754 (0.528-1.076) | -.211 | .809 (0.571-1.147) | -.503** | .605 (0.418-0.874) |
Gender | -.723* | 0.485 (0.246-0.959) | -.634 | .531 (0.274-1.029) | -.521 | .594 (0.291-1.213) |
Age 18-24 | -.103 | 0.902 (0.169-4.809) | .530 | 1.698 (0.373-7.740) | .956 | 2.601 (0.558-12.131) |
Age 25-34 | .447 | 1.563 (0.501-4.876) | .020 | 1.020 (0.343-3.031) | .232 | 1.261 (0.403-3.950) |
Age 35-44 | .474 | 1.606 (0.542-4.760) | .206 | 1.229 (0.436-3.464) | .330 | 1.390 (0.470-4.115) |
Age 45-54 (reference category) | --- | Â | --- | Â | --- | Â |
Age 55-64 | .545 | 1.724 (0.600-4.953) | -.384 | .681 (0.229-2.023) | -.295 | .744 (0.236-2.349) |
Age 65+ | .451 | 1.569 (0.528-4.663) | .893 | 2.443 (0.826-7.225) | -.293 | .746 (0.205-2.711) |
Less than High School (reference category) | -- | Â | -- | Â | -- | Â |
High School | .622 | 1.863 (0.751-4.626) | 1.696** | 5.454 (2.000-14.869) | 1.374* | 3.949 (1.311-11.901) |
Technical | .089 | 1.093 (0.473-2.526) | 1.572** | 4.817 (1.922-12.069) | 1.033* | 2.809 (0.998-7.903) |
University Degree | -.036 | 0.964 (0.297-3.136) | 2.004** | 7.416 (2.296-23.954) | 1.705* | 5.502 (1.574-19.236) |
Employed (reference category) | 1.085* | 2.959 (1.296-6.756) | 1.80*** | 6.053 (2.593-14.132) | 1.474** | 4.366 (1.793-10.630) |
Intercept | -.186 | Â | -1.46* | Â | -1.39* | Â |
Model Fit: | Â | Â | Â | Â | Â | Â |
   Chi-square (DF = 33) | 96.889*** |  |  |  |  |  |
   Pseudo R-squarea | 0.202 |  |  |  |  |  |