Table 2. Ultimate PreDICD Modela: Predictors of Depression Among Patients with Diabetes .
| Predictor | Estimate (SE) | Odds Ratio (95% Confidence Interval) | P Value |
|---|---|---|---|
| Female | 0.86 (0.13) | 2.35 (1.83–3.03) | <.001 |
| Toobert diabetes self-care | −0.42 (0.04) | 0.66 (0.61–0.72) | <.001 |
| Total number of diabetes complications | 0.30 (0.06) | 1.35 (1.21–1.51) | <.001 |
| History of major depressive disorder | 1.39 (0.21) | 4.03 (2.66–6.10) | <.001 |
| Number of ICD-9 diagnoses in past 6 months | 0.03 (0.01) | 1.03 (1.00–1.06) | .04 |
| Chronic pain | 0.75 (0.13) | 2.13 (1.61–2.74) | <.001 |
| Self-rated health status | −0.81 (0.08) | 0.45 (0.38–0.52) | <.001 |
Abbreviations: ICD-9, International Classification of Diseases, 9th Revision; PreDICD, Predicting Diabetes Patients with Comorbid Depression; SE, Standard Error
a
Logistic regression model: N = 1,776, estimate of intercept = 1.635, Ridge parameter for avoiding overfitting and improving predictive ability = 10−10.