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.

Dickson-Gomez et al. Substance Abuse Treatment, Prevention, and Policy 2011 6:31   doi:10.1186/1747-597X-6-31