Emily W Paolillo1, Assawin Gongvatana2, Anya Umlauf2, Scott L Letendre2, David J Moore2. 1. Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, California. 2. HIV Neurobehavioral Research Program, Department of Psychiatry, University of California, San Diego, San Diego, California.
Abstract
BACKGROUND: Alcohol use is a risk factor for nonadherence to antiretroviral therapy (ART) among people living with HIV/AIDS (PLWHA); however, differences in ART adherence across levels of alcohol use are unclear. This study examined whether "at-risk" alcohol use, defined by National Institute of Alcohol Abuse and Alcoholism guidelines, was associated with ART nonadherence among PLWHA. METHODS: Participants were 535 HIV-infected adults enrolled in studies at the HIV Neurobehavioral Research Program. ART nonadherence was identified by either self-reported missed dose or plasma viral load detectability (≥50 copies/ml). Potential covariates for multivariable logistic regression included demographics, depression, and substance use disorders. RESULTS: Using a stepwise model selection procedure, we found that at-risk alcohol use (OR = 0.64; p = 0.032) and low education (OR = 1.09 per 1 year increase in education; p = 0.009) significantly predict lower ART adherence. CONCLUSIONS: A greater focus on the treatment of at-risk alcohol use may improve ART adherence among HIV-infected persons.
BACKGROUND:Alcohol use is a risk factor for nonadherence to antiretroviral therapy (ART) among people living with HIV/AIDS (PLWHA); however, differences in ART adherence across levels of alcohol use are unclear. This study examined whether "at-risk" alcohol use, defined by National Institute of Alcohol Abuse and Alcoholism guidelines, was associated with ART nonadherence among PLWHA. METHODS:Participants were 535 HIV-infected adults enrolled in studies at the HIV Neurobehavioral Research Program. ART nonadherence was identified by either self-reported missed dose or plasma viral load detectability (≥50 copies/ml). Potential covariates for multivariable logistic regression included demographics, depression, and substance use disorders. RESULTS: Using a stepwise model selection procedure, we found that at-risk alcohol use (OR = 0.64; p = 0.032) and low education (OR = 1.09 per 1 year increase in education; p = 0.009) significantly predict lower ART adherence. CONCLUSIONS: A greater focus on the treatment of at-risk alcohol use may improve ART adherence among HIV-infectedpersons.
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