Depression mediates the relationship between adverse childhood experiences and risky drinking among Hispanic young adults.

BACKGROUND AND OBJECTIVES: Hispanic young adults in the United States have consistently high rates of risky drinking, adverse childhood experiences (ACEs), depression, and anxiety. There is a positive association between ACEs and alcohol use among Hispanic populations; it is unknown if mental health symptomatology mediates this relationship. The purpose of this study was to test whether depression and anxiety mediated the relationship between ACEs and risky drinking among Hispanic young adults who engage in risky drinking. METHODS: Data from 264 Hispanic young adults, ages 19 to 30, were collected via an online questionnaire. Participants were recruited via social media, emails/listservs across colleges, the community, and web-panels. The questionnaire assessed ACEs, risky drinking, depression, and anxiety. We conducted a mediational analysis to test whether depression and anxiety mediated the relationship between ACEs and risky drinking. RESULTS: Of the sample, 59.8% identified as female and 40.2% as male. The average age was 24.37 (SD = 3.069). Participants (61%) identified as Mexican, Mexican American, or Chicano, and 84.1% identified as second-generation. ACEs were positively associated with risky drinking, depression, and anxiety. Depression mediated the relationship between ACEs and risky drinking. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: Depression explained the association between ACEs and risky drinking among Hispanic young adults, adding to our understanding of how mediators can illustrate pathways that lead from ACEs to risky drinking. Practitioners and interventionists should continue supporting Hispanic youth by integrating them into early prevention programs to mitigate the mental health consequences of ACEs that could lead to risky drinking.

Unit costs of needle and syringe program provision: a global systematic review and cost extrapolation.

BACKGROUND: Needle and syringe programs (NSPs) are effective at preventing HIV and hepatitis C virus (HCV) among people who inject drugs (PWID), yet global coverage is low, partly because governments lack data on the cost and cost-effectiveness of NSP in their countries to plan and fund their responses. We conducted a global systematic review of unit costs of NSP provision to inform estimation of cost drivers and extrapolated costs to other countries. METHODS: We conducted a systematic review to extract data on the cost per syringe distributed and its cost drivers. We estimated the impact of country-level and program-level variables on the cost per syringe distributed using linear mixed-effects models. These models were used to predict unit costs of NSP provision, with the best performing model used to extrapolate the cost per syringe distributed for 137 countries. The total cost for a comprehensive NSP (200 syringes per PWID/year) was also estimated for 68 countries with PWID population size estimates. RESULTS: We identified 55 estimates of the unit cost per syringe distributed from 14 countries. Unit costs were extrapolated for 137 countries, ranging from $0.08 to $20.77 (2020 USD) per syringe distributed. The total estimated spend for a high-coverage, comprehensive NSP across 68 countries with PWID size estimates is $5 035 902 000 for 10 887 500 PWID, 2.1-times higher than current spend. CONCLUSION: Our review identified cost estimates from high-income, upper-middle-income, and lower-middle-income countries. Regression models may be useful for estimating NSP costs in countries without data to inform HIV/HCV prevention programming and policy.

Impact of individual-, environmental-, and policy-level factors on health care utilization among US farmworkers.

OBJECTIVES: We examined individual-, environmental-, and policy-level correlates of US farmworker health care utilization, guided by the behavioral model for vulnerable populations and the ecological model. METHODS: The 2006 and 2007 administrations of the National Agricultural Workers Survey (n = 2884) provided the primary data. Geographic information systems, the 2005 Uniform Data System, and rurality and border proximity indices provided environmental variables. To identify factors associated with health care use, we performed logistic regression using weighted hierarchical linear modeling. RESULTS: Approximately half (55.3%) of farmworkers utilized US health care in the previous 2 years. Several factors were independently associated with use at the individual level (gender, immigration and migrant status, English proficiency, transportation access, health status, and non-US health care utilization), the environmental level (proximity to US-Mexico border), and the policy level (insurance status and workplace payment structure). County Federally Qualified Health Center resources were not independently associated. CONCLUSIONS: We identified farmworkers at greatest risk for poor access. We made recommendations for change to farmworker health care access at all 3 levels of influence, emphasizing Federally Qualified Health Center service delivery.