7 research outputs found

    Brief report: the association between recreational versus therapeutic marijuana use on hazardous alcohol consumption and alcohol-associated behavioral consequences among adults living with HIV in Florida

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    Abstract Background Though marijuana use has previously been associated with risky alcohol use, studies often do not delineate between the effect of recreational versus therapeutic marijuana use, particularly among people living with HIV (PLWH). In this study, we examined the association between recreational versus therapeutic marijuana use to manage HIV symptoms (i.e., improve appetite/gain weight, induce sleep, relieve nausea/vomiting, relieve pain, relieve anxiety/depression/stress) on hazardous alcohol consumption and associated behavioral consequences among PLWH. Methods PLWH (N = 703) recruited from community health centers in Florida completed questionnaires assessing sociodemographics, marijuana use motives (i.e., recreational versus therapeutic), alcohol use, and alcohol-associated behavioral consequences. Hazardous alcohol use was defined as consuming 5 or more drinks on one occasion at least monthly or > 14 drinks per week for men, or 4 drinks on one occasion at least monthly or > 7 drinks per week for women over the past 12 months, while alcohol-associated behavioral consequences were assessed via the Short Inventory of Problems Revised (SIP-R). A one-way analysis of covariance (ANCOVA) assessed differences in average number of alcohol-associated behavioral consequences between recreational and therapeutic marijuana users, and non-users, while multivariate logistic regression analysis evaluated the association between reason for marijuana use and hazardous alcohol consumption. Results There was a significant effect of marijuana use group on SIP-R score after controlling for covariates [F (2, 579) = 3.04, p = 0.048], with post hoc analysis demonstrated significantly fewer alcohol-associated behavioral consequences among therapeutic marijuana users (1.27) compared to recreational users (3.35; p = 0.042). Compared to non-users, therapeutic marijuana users demonstrated significantly lower odds of hazardous drinking (AOR = 0.42, 95% CI = 0.18–0.96, p = 0.041), while recreational marijuana users were 64% more likely to report hazardous drinking (AOR = 1.64, 95% CI = 1.08–2.50, p = 0.019). Conclusions Findings from this study add to the literature by demonstrating how differing marijuana use motives are associated with hazardous alcohol consumption among PLWH. Given our findings showing greater risk of hazardous alcohol consumption among recreational marijuana users and lower risk among therapeutic marijuana users, results from this study may help inform interventions to reduce harmful alcohol consumption and associated adverse consequences among PLWH

    Comparing mental and physical health of U.S. veterans by VA healthcare use: implications for generalizability of research in the VA electronic health records

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    ObjectiveThe Department of Veterans Affairs' (VA) electronic health records (EHR) offer a rich source of big data to study medical and health care questions, but patient eligibility and preferences may limit generalizability of findings. We therefore examined the representativeness of VA veterans by comparing veterans using VA healthcare services to those who do not.MethodsWe analyzed data on 3051 veteran participants age ≥ 18 years in the 2019 National Health Interview Survey. Weighted logistic regression was used to model participant characteristics, health conditions, pain, and self-reported health by past year VA healthcare use and generate predicted marginal prevalences, which were used to calculate Cohen's d of group differences in absolute risk by past-year VA healthcare use.ResultsAmong veterans, 30.4% had past-year VA healthcare use. Veterans with lower income and members of racial/ethnic minority groups were more likely to report past-year VA healthcare use. Health conditions overrepresented in past-year VA healthcare users included chronic medical conditions (80.6% vs. 69.4%, d = 0.36), pain (78.9% vs. 65.9%; d = 0.35), mental distress (11.6% vs. 5.9%; d = 0.47), anxiety (10.8% vs. 4.1%; d = 0.67), and fair/poor self-reported health (27.9% vs. 18.0%; d = 0.40).ConclusionsHeterogeneity in veteran sociodemographic and health characteristics was observed by past-year VA healthcare use. Researchers working with VA EHR data should consider how the patient selection process may relate to the exposures and outcomes under study. Statistical reweighting may be needed to generalize risk estimates from the VA EHR data to the overall veteran population
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