Table 5.
Logistic regression predicting likelihood of an inactive occupational status (cognitive and clinical factors as predictors)
p-value | OR | 95% CI | |
---|---|---|---|
Executive functions | 0.001 | 0.55 | 0.38–0.78 |
WAIS-III–IQ | 0.196 | 1.04 | 0.98–1.10 |
History of psychosis | 0.240 | 0.41 | 0.09–1.81 |
Involuntary care | 0.245 | 2.46 | 0.54–11.2 |
Benzodiazepines | 0.224 | 0.47 | 0.14–1.58 |
Constant | 0.135 | 0.01 |
Occupational status as a dichotomized dependent variable (inactive = 1; active = 0) and five covariates, including Executive functions (composite measure) and Full Scale IQ (measured with WAIS-III). Categorical covariates are prior history of psychotic symptoms (yes = 1; no = 0), history of involuntary care (i.e. if ever sectioned under the Mental Health Act; yes = 1; no = 0), and benzodiazepines (yes = 1; no = 0). The full model significantly predicted an inactive occupational status (omnibus Chi-square = 24.11, df = 5, p < 0.001). Cox and Snell’s R2 = 0.23 Nagelkerke’s R2 = 0.33. The model correctly classified 78.7% of the patients (92.6% of the active patients and 42.3% of the inactive patients were correctly classified), n = 94