Association between alcohol consumption trajectories and clinical profiles among women and men living with HIV.

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.

Nonmedical Prescription Stimulant Use Among Girls 10-18 Years of Age: Associations With Other Risky Behavior.

PURPOSE: Little is known about the risk factors for nonmedical use (NMU) of prescription stimulants among adolescent girls. We aimed to measure the association of nonmedical prescription stimulant use with empirically linked risk factors, including weight control behavior (WCB), gambling, and depressed mood, in pre-teen and teenaged girls. METHODS: We assessed the relationship between age and race, gambling, WCB, depressive mood, and nonmedical prescription stimulant use using multivariable logistic regression. The study sample included 5,585 females, aged 10-18 years, recruited via an entertainment venue intercept method in 10 U.S. metropolitan areas as part of the National Monitoring of Adolescent Prescription Stimulants Study (2008-2011). RESULTS: NMU of prescription stimulants was reported by 6.6% (n = 370) of the sample. In multivariable logistic regression, 1-year increase in age was associated with a 21% (95% confidence interval [CI]: .15, .28) increase in risk for NMU. Whites and other race/ethnicity girls had 2.67 (CI: 1.85, 3.87) and 1.71 (1.11, 2.65) times higher odds for NMU, compared to African-Americans. Depressive mood (adjusted odds ratio: 2.69, CI: 2.04, 5.57) and gambling (adjusted odds ratio: 1.90, 1.23, 2.92) were associated with increased odds for NMU. A dose-response was identified between WCB and NMU, where girls with unhealthy and extreme WCB were over five times more likely to endorse NMU. CONCLUSIONS: We contribute to the literature linking WCB, depression, gambling, and the NMU of prescription stimulants in any population and uniquely do so among girls.

Complementary and Alternative Medicine Use for HIV Management in the State of Florida: Medical Monitoring Project.

OBJECTIVE: The aims of this study were to describe complementary and alternative medicine (CAM) use and to assess the relationships between CAM use and antiretroviral therapy (ART) adherence and human immunodeficiency virus (HIV) RNA viral load suppression among a sample of persons living with HIV (PLWH) engaged in care in the state of Florida. DESIGN: The Florida Medical Monitoring Project (n = 803) collected repeated cross-sectional data for surveillance of clinical outcomes among PLWH from 2009 to 2010. Past-year CAM use specifically for the management of HIV was measured via self-report. Logistic regression models were conducted to assess the effect of CAM use on ART adherence and viral load suppression, controlling for demographic and clinical factors using backwards stepwise deletion of factors with a p-value of >0.25. RESULTS: CAM use was reported in 53.3% (n = 428). In bivariate analysis, CAM use was the highest among those 40-49 years of age (61%; p < 0.05), males (56%; p < 0.01), whites (61%; p = 0.001), and those educated beyond high school (59%; p < 0.05). Among those using CAM, 63% and 37% reported one and two or more CAM modalities, respectively. CAM modalities included biologically based therapies (89%), mind-body medicine/manipulative body-based therapies (30%), spiritual healing (23%), energy therapies (6%), and whole medical systems (6%). In multivariable analyses, any CAM use and number of CAM methods used were not associated with ART adherence. Any CAM use was not associated with detectable viral load (adjusted odds ratio [aOR] 0.81; 95% confidence interval [CI] 0.58-1.12; p = 0.20). Those using two or more methods had significantly decreased risk for detectable viral load (aOR 0.60; 95% CI 0.39-0.92; p < 0.02). CONCLUSIONS: CAM use was not associated with negative effects on ART adherence. CAM users were less likely to have detectable viral load compared with non-users. Future research should focus on CAM use among PLWH not engaged in HIV care and the longitudinal patterns of CAM use and possible effects of long-term health outcomes.