Table 4.
Multinomial logistic regression results for self-reported health: Including DA-level disadvantage.
| Good vs. Poor/Fair | Very Good vs. Poor/Fair | Excellent vs. Poor/Fair | ||||
|---|---|---|---|---|---|---|
| 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) |
--- | --- | --- | |||
| 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) |
-- | -- | -- | |||
| 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 | -1.46* | -1.39* | |||
| Model Fit: | ||||||
| Chi-square (DF = 33) | 96.889*** | |||||
| Pseudo R-squarea | 0.202 | |||||
Notes: N = 439; Beta coefficients (B) and Odds Ratios (O.R.) shown.
*p < .05, ** p < .01 ***p <. 001 (2-tailed tests).
a Cox and Snell Pseudo R-squared reported.