Table 3.
Logistic regression exploring associations between socio-demographic and health related variables and a SCID-based diagnosis of depression
| Covariates | Adjusted odds ratio (95% CI) |
|---|---|
| Age ≤ 40 | Ref |
| Age > 40 | 0.95 (0.38, 2.35) |
| Male | Ref |
| Female | 1.57 (0.57, 4.33) |
| Not currently/never married | Ref |
| Married | 2.89 (1, 8.37) |
| No education | Ref |
| Primary/Junior | 0.73 (0.29, 1.88) |
| Secondary/Higher | 0.81 (0.29, 2.27) |
| Urban location | Ref |
| Rural location | 1.19 (0.55, 2.57) |
| Days since treatment starta | 1.01 (0.99, 1.02) |
| Previously treated MDR-TB case | Ref |
| New MDR-TB case | 2.33 (1.06, 5.14) |
| Non-smoker | Ref |
| Smoker | 1 (0.37, 2.73) |
| No co-morbidities | Ref |
| One or more co-morbidity | 2.88 (1.13, 7.33) |
| Sought treatment for side effects | Ref |
| Not sought treatment for side effects | 1.38 (0.63, 3.02) |
Ref reference/comparison group for dummy coded categorical variable comparisons. N = 148 (SCID outcomes missing for 2 patients). Adjusted odds ratios are adjusted for all variables/levels listed in the table in a logistic regression model. 95% CIs are approximate Wald-based CIs. a Days since treatment start and SCID diagnosis: numerical discrete variable (range = 3–138)