Table III.
Logistic Regression Analyses Predicting HIV Risk (past year)
| Predictor Variables | Wald-z | p | AOR | 95% CI |
|---|---|---|---|---|
| Psychiatric Variables | ||||
| Substance Use Disorder | ||||
| AUD | Reference | 1.00 | ||
| DUD | -0.27 | ns | 0.79 | 0.15 - 4.33 |
| MUD | 0.38 | ns | 1.39 | 0.26 - 7.54 |
| Other Psychiatric Diagnosis | ||||
| No | Reference | 1.00 | ||
| Yes | 2.43 | .05 | 4.99 | 1.36 - 18.23 |
| Duration of Substance Use Disorder | -0.48 | ns | 1.00 | 0.99 - 1.01 |
| Age At First Hospitalization | -1.46 | ns | 0.88 | 0.74 - 1.05 |
| Number of Previous Admissions | -0.32 | ns | 0.94 | 0.65 - 1.36 |
| Demographic Variables | ||||
| Age | 1.49 | ns | 1.15 | 0.96 - 1.37 |
| Educational Level | ||||
| Pre-High School | Reference | 1.00 | ||
| High School | -0.02 | ns | 0.99 | 0.38 - 2.56 |
| Post-High School | 0.80 | ns | 1.52 | 0.55 - 4.21 |
| Marital Status | ||||
| Married | Reference | 1.00 | ||
| Single | -0.63 | ns | 0.71 | 0.25 - 2.04 |
| Living Situation | ||||
| Own Home | Reference | 1.00 | ||
| Others’ Home | 0.13 | ns | 1.05 | 0.46 - 2.42 |
| Occupation Status | ||||
| Unemployed | Reference | 1.00 | ||
| Non-professional | 0.37 | ns | 1.20 | 0.46 - 3.11 |
| Professional/Government | -0.95 | ns | 0.42 | 0.07 - 2.49 |
| Substance Use Variables | ||||
| Cigarette Use | ||||
| No | Reference | 1.00 | ||
| Yes | -0.03 | ns | 0.99 | 0.42 - 2.32 |
| Beedi Use | ||||
| No | Reference | 1.00 | ||
| Yes | -0.01 | ns | 1.00 | 0.43 - 2.29 |
| Chewing Tobacco Use | ||||
| No | Reference | 1.00 | ||
| Yes | 1.57 | ns | 1.94 | 0.85 - 4.44 |
| Betel nut Use | ||||
| No | Reference | 1.00 | ||
| Yes | -0.08 | ns | 0.96 | 0.39 - 2.39 |
| AUDIT | 1.18 | ns | 1.03 | 0.98 - 1.08 |
| DAST | 4.07 | .001 | 1.40 | 1.19 - 1.65 |
Note. Wald-z statistics for the regression coefficients are based on the estimated variance-covariance matrix of parameter estimates in the logistic regression model; AOR = Adjusted Odds Ratio; CI = Confidence Interval; ns = non-significant; Adjusted Odds Ratios for categorical variables (diagnosis, dual-diagnosis, school, marital status, living situation, occupation, cigarette use, beedi use, chewing tobacco use, and betel nutuse) are relative to the reference categories for each variable; Adjusted Odds Ratios for continuous variables reflect the increase in risk associated with an increase of 1 in the predictor variable; AUD = alcohol use disorder; DUD = drug use disorder; MUD = multiple substance use disorder.