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.