Reasons for drinking as predictors of alcohol involvement one year later among HIV-infected individuals with and without hepatitis C

Abstract

<div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d2273360e159">INTRODUCTION</h5> <p id="P1">Heavy drinking can be harmful for individuals with HIV, particularly those co-infected with hepatitis C virus (HCV). HIV patients’ reasons for drinking predict short-term alcohol involvement, but whether they predict longer-term involvement is unknown. Also, it remains unknown whether these motives are differentially predictive for HIV mono-infected and HIV/HCV co-infected patients. </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d2273360e164">METHOD</h5> <p id="P2">HIV-infected heavy drinkers (n=254) participated in a randomized trial of brief alcohol interventions (Hasin et al., 2013), 236 (92.9%) of whom reported on baseline motives and alcohol involvement 12 months later (77.1% male, 94.9% minority, 30.6% with HCV). </p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d2273360e169">RESULTS</h5> <p id="P3">Greater endorsement of baseline drinking to cope with negative affect predicted greater alcohol dependence symptoms at 12 months (Incident Rate Ratio [IRR] = 1.80, p&lt;0.05), while greater endorsement of baseline drinking due to social pressure predicted fewer drinks consumed at 12 months (IRR = 0.67, p&lt;0.05). Coping and social reasons were both predictive for HIV mono-infected patients, whereas only coping reasons were predictive for HIV/HCV co-infected patients. </p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d2273360e174">DISCUSSION</h5> <p id="P4">Drinking for coping and social reasons predict alcohol involvement 12 months later; however, social reasons may only be important for HIV mono-infected patients. Understanding patient reasons for drinking may help predict patient risk up to a year later. </p> </div>