Table 2.

Bivariate and Multivariable Logistic Regression Analyses Examining the Association Between Predictor Variables and Being a Risk Reducer

	Odds ratio	95% CI	Adjusted odds Ratioa	95% CI
Race/Ethnicity
Non-white	—		—
White	0.54b	0.26–1.14	0.88	0.24–2.36
Sexual identity disclosure
Not out	—		—
Out	3.64	1.04–12.80	1.19	0.21–6.90
STD history
No STD history	—		—
Prior STD history	0.40c	0.19–0.85	0.79	0.28–2.27
No alcohol (no sex while drunk)	—		—
Alcohol (sex while drunk)	0.62	0.30–1.29	0.33c	0.11–0.96
Depression
No depression (CES-D <15)			—
Depression (CES-D 16+)	0.48c	0.22–1.01	0.32c	0.11–0.92
Meeting sexual partners in past 12 months
No public cruising area	—
Public cruising area	0.32d	0.13–0.79	0.30c	0.10–0.98
No internet
Internet	0.38b	0.14–1.06	0.12c	0.11–0.92

^aFinal multivariable logistic regression model adjusted for age, race/ethnicity, education, income, sexual identity disclosure (“outness”), HIV status, STD history, drug and alcohol use, sexual partner meeting venues, and depression.

^bApproached significance (p < 0.10).

^cp < 0.05

^dp < 0.01.

STD, sexually transmitted disease; CES-D, centers for epidemiologic studies depression scale.