Table 2.
Results of logistic regression analyses.
| No. | Variable/Category | Reference Group | Estimate | S.E. | p | Odds Ratios | CI2.5% | CI97.5% |
|---|---|---|---|---|---|---|---|---|
| (–) | Intercept | - | 3.09 | 0.46 | <0.001 | 22.004 | 8.9239 | 54.256 |
| (2) | Age | - | −0.03 | 0.01 | <0.001 | 0.97 | 0.96 | 0.98 |
| (5) | Part-time employed | Full-time employed | −0.40 | 0.20 | 0.048 | 0.67 | 0.45 | 1.00 |
| Not working | Full-time employed | −2.14 | 0.25 | <0.001 | 0.12 | 0.07 | 0.19 | |
| (6) | Premorbid psychiatric problems | No | −0.65 | 0.23 | 0.005 | 0.52 | 0.33 | 0.82 |
| (9) | ISS | - | −0.02 | 0.01 | 0.007 | 0.98 | 0.97 | 1.00 |
| (10) | GCS score | - | 0.06 | 0.02 | 0.003 | 1.07 | 1.02 | 1.11 |
| (12) | Length of stay (ln) | - | −0.51 | 0.09 | <.001 | 0.60 | 0.51 | 0.71 |
Note: Numbers in parentheses are used for indication in the text and are referred to the Table 1; Estimate = logistic regression coefficients, S.E. = standard error, p = p-value, Odds ratios = odds of being unemployed in relation to the odds of being employed, CI2.5%= lower bound, CI97.5%= upper bound, and ln = the variable length of stay was transformed because of the skewed distribution.