Access to housing subsidies, housing status, drug use and HIV risk among low-income U.S. urban residents

Table 5 Results of multiple logistic regression analysis of sexual risk behavior in the last 30 days

	Any sex without a condom (117 of 391)
Predictor ^a	Odds Ratio (95%CI) ^{b, c}	t	Significance
Female	1.08 (.65 - 1.80)	0.31	.75
Black	1.19 (.60 - 2.36)	0.49	.62
Latino	1.05 (.54 - 2.04)	0.15	.88
Welfare benefits income ($100s)	.93 (.86 - 1.02)	-1.58	.11
Employment income ($100s)	1.00 (.93 - 1.07)	-0.02	.98
Told have HIV/AIDS by doctor	.28 (.14 - 0.59)	-3.38	.001
Housing status			.002
Live with sexual partner or friend [ref. Live on street, in car, single room]	2.72 (1.31 - 5.64)	2.68	.007
Live with family or in own house/apartment [ref. Live on street, in car, single room]	1.58 (.82 - 3.06)	1.38	.17

^a All predictors achieved a p-value < .10 in univariate regression models for one or more of the outcomes. Number of cases with complete data used in multivariate analysis equals 391.
^b An odds ratio greater than 1 indicates that the event is more likely to occur among those having the predictor trait; an odds ratio less than 1 indicates that the event is less likely to occur among those having the predictor trait.
^c PROC Logistic (SAS Institute)--Logistic regression model--was used to fit multiple regression model to data.

ISSN: 1747-597X