Psychosocial Factors Associated with Problem Drinking Among Substance Users with Poorly Controlled HIV Infection

Motivation to Quit Drinking in Individuals Coinfected with HIV and Hepatitis C

Alcohol consumption is common among individuals coinfected with HIV and hepatitis C (HCV) despite the uniquely harmful effects in this population. Limited research has examined factors that could influence drinking reduction or cessation among HIV/HCV coinfected persons; this study investigates motivation to quit. Participants were 110 alcohol-consuming HIV/HCV coinfected patients recruited from medical clinics. Participants self-reported 90-day drinking frequency and intensity; alcohol-related problems; reasons to quit drinking; reasons to drink; and motivation to quit drinking. Participants consumed alcohol on 54.1 (± 26.9) of the past 90 days. In a multivariate model that controlled for demographic variables, motivation to quit drinking was directly associated with alcohol-related problems (β_y·x = 0.35, p = .007) and reasons to quit drinking (β_y·x = 0.23, p = .021), and inversely associated with drinking for enhancement (β_y·x = - 0.36, p = .004). This study identified several factors associated with motivation to quit drinking in a sample of alcohol-consuming HIV/HCV patients.

Ubiquitous Yet Unclear: A Systematic Review of Medical Mistrust

Peer-reviewed articles (n = 124) examining associations between medical mistrust (MM) and health outcomes from four databases, between January 1998 and May 2018, were reviewed; 36 qualitative and 88 quantitative studies met the inclusion criteria. The Williams and Mohammed framework guided our narrative synthesis of the studies; it argues that basic causes (e.g., biased institutions) affect the social status of marginalized groups which in turn effects multiple proximal pathways leading to responses and poor health. Most studies were cross-sectional with US-based samples. The MM in qualitative studies were categorized as interpersonal (n = 30), systemic (n = 22), and/or vicarious (n = 18); 25% did not explicitly note the basic causes of MM and race/ethnicity was often confounded with socioeconomic status (SES). All but three studies discussed an association between MM and a behavior response; no study focused on an actual health outcome. Most quantitative studies used multivariate regression analyses; only 15 of the 88 utilized advanced modeling techniques (e.g., mediation). Most (75%) studies did not describe basic causes for MM and 43% utilized low income samples. MM was conceptualized as a predictor/proximal pathway (in 73 studies) associated with a variety of responses, most commonly behavioral (e.g., diminished adherence); 14 studies found an association between MM and a specific health measure. This review underscores the need for future qualitative studies to place MM central to their research questions as in-depth descriptions of MM were limited. Future quantitative studies should replicate findings using more advanced analytical strategies that examine the relationship between MM and health outcomes.