Tertiles were based upon the distribution of the log of the HIV <

Tertiles were based upon the distribution of the log of the HIV sexual risk scores, and not an even distribution of the participants. As such, they were grouped according to three levels of reported HIV risk, and hence the sizes of the groups were not equal. Multivariable and univariable regression analyses

were used to assess for relationships between (1) log of HIV sexual risk scores in tertiles and alcohol misuse, (2) HIV screening uptake and alcohol misuse, (3) HIV screening uptake and sexual risk for HIV, and (4) HIV screening uptake and the intersection of HIV sexual risk and alcohol misuse (sex while Inhibitors,research,lifescience,medical intoxicated, regret ever having had sex while intoxicated, and unsure if ever had sex while intoxicated). Ordinal logistic regression modeling was performed for analyzing associations between the log of HIV sexual risk levels in tertiles and whether participants drink or not; percentage of days spent drinking and binging in one month; AUDIT at-risk drinking levels; and whether participants Inhibitors,research,lifescience,medical binge or not. Logistic regression modeling Inhibitors,research,lifescience,medical was used to assess the outcome of HIV screening uptake as related to (1) alcohol misuse,

(2) the log of HIV sexual risk levels in tertiles; and (3) the intersection of alcohol misuse and sexual risk for HIV. Based upon responses for declining HIV screening, logistic regression modeling assessed the outcome of participant’s perception of not being at risk for an HIV infection and drinking and binging status among all participants and drinkers. Goodness-of-fit of the logistic regression models was confirmed by Hosmer-Lemeshow

analyses. Adjusted odds ratios (AORs) with corresponding 95% confidence intervals Inhibitors,research,lifescience,medical (CIs) were estimated. Multivariable regression models were adjusted for SB939 ic50 participant demographic characteristics Inhibitors,research,lifescience,medical (age, race/ethnicity, partner status, insurance status and education level). Our previous research indicated that demographic characteristics are important correlates for uptake of HIV screening, hence we adjusted for our main effects for these confounding variables [43,62]. All analyses were considered significant at an α level of 0.05, with no adjustments for multiple comparisons. Results Participant enrolment and demographic characteristics During the two-month study period, 2,565 randomly selected 18-64-year-old English or Spanish-speaking ED patients were assessed for study eligibility. Of the 887 study eligible ED patients, 750 GPX6 enrolled in the study. Figure 1 depicts the results of eligibility assessments, the major reasons for study ineligibility and for accepting and declining study participation. As shown, 28.9% of participants reported not having sexual intercourse in the past 12 months, which left 524 participants who reported some sexual risk for HIV, and who constituted the final study sample used for these analyses. Figure 1 Eligibility and enrolment flow diagram.

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