Table 3

Multivariable logistic regression analyses comparing log of HIV sexual risk score and alcohol misuse, and HIV screening uptake and alcohol misuse
Females Males
Log of HIV sexual HIV testing uptake Log of HIV sexual HIV testing uptake
Risk scorea Risk scorea
Among all participants n = 288 n = 236
Participants who drink alcohol AOR (95% CI)* AOR (95% CI)* AOR (95% CI)* AOR (95% CI)*
No Reference Reference
Yes 2.78 (1.48-5.23) 0.95 (0.52-1.72) 3.31 (1.51-7.24) 0.58 (0.26-1.29)
Among alcohol drinkers n = 203 n = 188
Percentage of days spent drinking alcohol in one month
0 - 24% Reference Reference
25 - 49% 1.92 (0.88-4.18) 1.09 (0.45-2.67) 0.57 (0.19-1.70) 2.17 (0.50-9.43)
50 - 74% 3.27 (1.47-7.28) 0.57 (0.22-1.43) 1.88 (0.82-4.32) 3.08 (0.95-10.01)
75 - 100% 4.84 (2.00-11.69) 1.47 (0.56-3.86) 2.51 (1.07-5.89) 1.87 (0.59-6.00)
At-risk drinking levels based on AUDIT scores
Low-risk Reference Reference
Hazardous 3.85 (1.89-7.85) 1.10 (0.50-2.41) 3.45 (1.72-6.92) 0.59 (0.23-1.53)
Harmful 10.64 (1.70-66.53) 8.81 (0.88-87.85) 0.60 (0.10-3.48) 2.70 (0.47-15.65)
Dependence 6.52 (0.69-61.91) 9.61 (2.45-37.69) 3.16 (0.75-13.25)
Participants who bingeb
No Reference Reference
Yes 2.55 (1.40-4.64) 0.99 (0.51-1.93) 1.84 (0.91-3.72) 1.61 (0.63-4.12)
Among bingers n = 121 n = 140
Percentage of days spent binging out of days spent drinking alcohol
0 - 24% Reference Reference
25 - 49% 2.62 (0.55-12.53) 0.94 (0.17-5.32) 2.00 (0.39-10.29) 2.03 (0.25-16.36)
50 - 74% 3.28 (0.68-15.88) 0.99 (0.18-5.65) 1.82 (0.39-8.43) 1.48 (0.20-10.89)
75 - 100% 9.25 (1.84-46.43) 0.66 (0.11-3.79) 2.24 (0.49-10.29) 1.76 (0.25-12.46)

*All multivariable models were adjusted for demographic characteristics.

aOrdinal logistic regression modeling was performed for outcome of tertile of HIV Sexual Risk Score.

b ≥4 drinks for women and ≥5 drinks for men on one occasion as defined by NIAAA (NIAAA, 2004).

HIV = Human immunodeficiency virus; AOR = Adjusted odds ratio; CI = Confidence interval; AUDIT = Alcohol Use Disorders Identification Test. ∞ = not estimable.

Trillo et al.

Trillo et al. BMC Emergency Medicine 2013 13:9   doi:10.1186/1471-227X-13-9

Open Data