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. Author manuscript; available in PMC: 2020 Aug 1.
Published in final edited form as: AIDS Educ Prev. 2019 Aug;31(4):380–393. doi: 10.1521/aeap.2019.31.4.380

Table 3.

Predictors of Any Alcohol Consumption, the Number of Alcohol Drinks, and Having Any Binge Drinking Days in the Past Week

Variables 95% Confidence Interval p
Logistic Regression for Any Alcohol Consumption in the Past Week1
 Adjusted Odds Ratio
 Male gender 1.45 1.02–2.07 .04
 Used any illicit drug in the past month 2.11 1.26–3.55 .005
 Network size  .96 .93–.99 .01
 Used any injected drug in the past month 2.54 1.42–4.54 .002
Poisson Regression for the Number of Alcohol Drinks in the Past Week2
Incidence Rate Ratio
 Male gender  2.38 1.63–3.48 <.0001
 Used any illicit drug in the past month 2.66 1.79–3.95 <.0001
 Network size .97 .96–.98 <.0001
 Social Provisions Scale (SPS) .97 .95–.99 .007
 Married .48 .30–.76 .002
Logistic Regression for Having Any Binge Drinking Days in the Past Week1
Adjusted Odds Ratio
 Male gender  1.85 1.11–3.07 .02
 Used any illicit drug in the past month 3.01 1.76–5.17 .0001
 Network size .96 .94–.98 .0001
 Condomless intercourse with a non-main partner in the past 3 months 2.49 1.25–4.98 .01
1

All p-values were calculated using logistic regression fitted by GEE to account for clustering within social networks. Stepwise backward variable selection was used to find the final parsimonious model

2

All p-values were calculated using multiple Poisson regression fitted by GEE to account for clustering within social networks. Stepwise backward variable selection was used to find the final parsimonious model