Natalie E Kelso-Chichetto1, Michael Plankey2, Alison G Abraham3, Nicole Ennis4, Xinguang Chen1, Robert Bolan5, Robert L Cook1. 1. a Department of Epidemiology , Colleges of Public Health and Health Professions and Medicine, University of Florida , Gainesville , FL , USA. 2. b Department of Medicine , Georgetown University Medical Center , Washington , DC , USA. 3. c Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA. 4. d Department of Clinical and Health Psychology , College of Public Health and Health Professions, University of Florida , Gainesville , FL , USA. 5. e Los Angeles LGBT Center , CA , USA.
Abstract
BACKGROUND: Alcohol use is common among persons living with HIV (PLWH). It is unclear how alcohol consumption changes over time and if these changes are associated with clinical profiles. OBJECTIVE: We aimed to describe the association between longitudinal patterns of alcohol consumption and the clinical profiles of PLWH. METHODS: Data from the Women's Interagency HIV Study (n = 1123 women) and Multicenter AIDS Cohort Study (n = 597 men) from 2004 to 2013 were utilized. Group-based trajectory models were used to assess alcohol consumption patterns across 10 years. Generalized estimating equations were used to identify associations between clinical factors and alcohol consumption. All analyses were stratified by sex. RESULTS: Four trajectories of alcohol use were identified in women and men (women: abstinent 38%, low: 25%, moderate: 30%, heavy: 7%; men: abstinent 16%, low: 69%, moderate: 9%, heavy: 5%). The Framingham Risk Score (women: adjusted odds ratio [AOR] 1.07, 95% confidence interval [CI] 1.04-1.09), years on ART (women: AOR 1.02, CI 1.00-1.05; men: AOR 1.05, CI 1.01-1.09), suboptimal ART adherence (men: AOR 1.23, CI 1.07-1.42), and unsuppressed viral load (women: AOR 1.82, CI 1.56-2.13; men: AOR 1.36, CI 1.17-1.58) were associated with increased odds for moderate drinking. The Framingham Risk Score (women: AOR 1.10, CI 1.07-1.14; men: AOR 1.12, CI 1.06-1.20), suboptimal adherence (women: AOR 1.25, CI 1.04-1.51), and unsuppressed viral load (women: AOR 1.78, CI 1.42-2.24) were associated with increased odds for heavy drinking. CONCLUSIONS: Clinicians should consider screening patients for alcohol consumption, particularly if patients have comorbid medical conditions, suboptimal antiretroviral adherence, and/or detectable viral load.
BACKGROUND:Alcohol use is common among persons living with HIV (PLWH). It is unclear how alcohol consumption changes over time and if these changes are associated with clinical profiles. OBJECTIVE: We aimed to describe the association between longitudinal patterns of alcohol consumption and the clinical profiles of PLWH. METHODS: Data from the Women's Interagency HIV Study (n = 1123 women) and Multicenter AIDS Cohort Study (n = 597 men) from 2004 to 2013 were utilized. Group-based trajectory models were used to assess alcohol consumption patterns across 10 years. Generalized estimating equations were used to identify associations between clinical factors and alcohol consumption. All analyses were stratified by sex. RESULTS: Four trajectories of alcohol use were identified in women and men (women: abstinent 38%, low: 25%, moderate: 30%, heavy: 7%; men: abstinent 16%, low: 69%, moderate: 9%, heavy: 5%). The Framingham Risk Score (women: adjusted odds ratio [AOR] 1.07, 95% confidence interval [CI] 1.04-1.09), years on ART (women: AOR 1.02, CI 1.00-1.05; men: AOR 1.05, CI 1.01-1.09), suboptimal ART adherence (men: AOR 1.23, CI 1.07-1.42), and unsuppressed viral load (women: AOR 1.82, CI 1.56-2.13; men: AOR 1.36, CI 1.17-1.58) were associated with increased odds for moderate drinking. The Framingham Risk Score (women: AOR 1.10, CI 1.07-1.14; men: AOR 1.12, CI 1.06-1.20), suboptimal adherence (women: AOR 1.25, CI 1.04-1.51), and unsuppressed viral load (women: AOR 1.78, CI 1.42-2.24) were associated with increased odds for heavy drinking. CONCLUSIONS: Clinicians should consider screening patients for alcohol consumption, particularly if patients have comorbid medical conditions, suboptimal antiretroviral adherence, and/or detectable viral load.
Entities:
Keywords:
HIV; MACS; WIHS; alcohol use; longitudinal; men; sex; women
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