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. Author manuscript; available in PMC: 2013 Mar 3.
Published in final edited form as: Dig Dis Sci. 2011 Dec 2;57(4):1083–1091. doi: 10.1007/s10620-011-1976-4

Table 3.

Change in alcohol and drug outcomes between initial interview and 3 months and initial interview and 6 months

Alcohol abstinence ASI alcohol scores ASI drug scores, full sample ASI drug scores, subsample that reports drug use at any timepoint

With all covariates With significant covariates only With all covariates With significant covariates only With all covariates With significant covariates only With all covariates With significant covariates only
Change, Initial interview to 3 months 1.065** (0.410) 0.968** (0.371) -0.105** (0.0283) -0.104** (0.0284) -0.0228* (0.0114) -0.0239* (0.0114) -0.0266 (0.0158) -0.0289 (0.0157)
Change, Initial interview to 6 months 1.213** (0.380) 1.125** (0.343) -0.128** (0.0258) -0.127** (0.0258) -0.0150 (0.0105) -0.0153 (0.0104) -0.0258 (0.0139) -0.0264 (0.0138)

Baseline characteristics HIV status: Positive -0.292 (0.594) N/A 0.028 (0.065) N/A 0.0329* (0.0157) 0.0164 (0.0154) 0.0448* (0.0193) 0.0234 (0.0188)
Income 0.000 (0.000) N/A 0.000 (0.000) N/A 0.0000 (0.0000) N/A 0.0000 (0.0000) N/A
Age 0.060 (0.039) N/A -0.003 (0.004) N/A -0.0019 (0.0010) N/A -0.0020 (0.0012) N/A
Gender: Female -0.505 (0.513) N/A -0.044 (0.055) N/A -0.0079 (0.0133) N/A -0.0081 (0.0168) N/A
Race: Black -1.369 (1.273) N/A 0.004 (0.130) N/A 0.0227 (0.0333) N/A 0.0407 (0.0355) N/A
Race: White -1.207 (1.281) N/A 0.082 (0.131) N/A 0.0128 (0.0335) N/A 0.0219 (0.0361) N/A

Observations 133 133 133 133 133 133 94 94
Participants 1.065** 0.968** -0.105** -0.104** -0.0228* -0.0239* -0.0266 -0.0289
**

p<0.01

*

p<0.05

Note: Logistic GEE regression analysis used for Alcohol Abstinence, which is a dichotomous variable in which 1=abstinence. Multiple GEE regression analysis used for ASI Alcohol and Drug Scores, with higher scores indicating greater alcohol and drug use. For Race, “Black” is an indicator variable for Black participants versus White and other races, and “White” is an indicator variable for White participants versus Black and other races.