Alcohol consumption among urban, suburban, and rural Veterans Affairs outpatients

Prevalence and correlates of alcohol-induced blackout in a diverse sample of veterans

BACKGROUND

Alcohol-induced blackouts have been associated concurrently and prospectively with alcohol-related harm. Although rates of heavy drinking among military samples tend to be comparable or higher than rates among civilian samples, the prevalence and correlates of blackout in the military population are understudied.

METHODS

Veterans (N = 241, 29% female, 39% Black) reported on their alcohol consumption and mental health as part of a larger health-related study among veterans. In this secondary analysis, we tested theoretically and empirically informed predictors (gender, drinking quantity, and other drug use) and consequences [depression, posttraumatic stress disorder (PTSD)] of alcohol-induced blackout. Given the diversity of the sample, potential roles of racial/ethnic discrimination and drinking to cope in alcohol-induced blackout were also tested.

RESULTS

Past-year prevalence of alcohol-induced blackout was 53% among veterans who drank alcohol and 68% among those who screened positive for hazardous drinking. Everyday experience of racial discrimination was the strongest concurrent predictor of alcohol-induced blackout. Drinking quantity and use of other drugs were significant correlates only in bivariate models. Controlling for gender, race, drinking quantity, other drug use, and discrimination, blackout frequency was significantly associated with symptoms of depression, but not symptoms of PTSD. Both blackout and racial discrimination were associated with drinking to cope.

CONCLUSIONS

The prevalence and correlates of alcohol-induced blackout among veterans are largely consistent with those documented in civilian and young adult populations. Among racially diverse groups, racial discrimination may be more strongly associated with mental health symptoms than alcohol consumption or acute alcohol consequences such as blackout.

Social Determinants of Potential eHealth Engagement Among People Living with HIV Receiving Ryan White Case Management: Health Equity Implications from Project TECH

OBJECTIVES

Evaluate the relationships between social characteristics of Floridian persons living with HIV (PLWH) and both use of digital technologies and willingness to use eHealth for HIV-related information.

METHODS

Ryan White case managers (N = 155) from 55 agencies in 47 Florida counties administered a survey to PLWH (N = 1268) from June 2016-April 2017. Multilevel logistic regression models were used to identify correlates of technology use and willingness.

RESULTS

Use of mobile phones with text messaging was high (89%). Older (vs. younger) adults and non-Hispanic blacks (vs. whites) were less likely to use most technologies. These groups, along with Hispanics (vs. whites) were less likely to express willingness to use technologies for HIV-related information in models adjusting for use.

CONCLUSIONS

Among PLWH in Florida, eHealth-related inequities exist. Willingness to engage in HIV-related eHealth is affected by social determinants, even when considering technology access. Although eHealth may reduce some healthcare inequities, it may exacerbate others.

Prevalence and Severity of Alcohol and Cannabis Use Across the Urban-Rural Continuum in the Michigan National Guard

PURPOSE

The National Guard provides critical support both domestically and abroad with soldiers dispersed throughout America and spanning the urban-rural continuum. To determine if location-specific interventions may be needed, we compared the prevalence and severity of cannabis and alcohol use among National Guard members across localities.

METHODS

Michigan National Guard members were enrolled (N = 2,746) during drill weekends as part of a larger randomized behavioral trial. Cannabis (ASSIST; prevalence = 5%) and alcohol use (AUDIT; prevalence = 82%) were compared using hurdle regression models across locality status after adjusting for covariates.

FINDINGS

Prevalence of cannabis and alcohol use was predicted by locality (adjusted odds ratio [AOR] = 0.913, 95% CI: 0.838-0.986, P = .029; AOR = 0.963, 95% CI: 0.929-0.998, P = .038, respectively), with more use in urban localities. Neither severity of cannabis nor alcohol use was predicted by locality status.

CONCLUSIONS

Prevalence of cannabis and alcohol use in the National Guard is differentially elevated across localities with higher prevalence in more central, densely populated areas. Findings may inform future work considering accessibility and utilization of prevention and treatment services for Guard members across the urban-rural continuum.

Reproducibility on science: Challenges and advances in Brazilian alcohol surveys

BACKGROUND

Reproducibility in Science is challenging and may be hard to achieve in alcohol research. Previous general population surveys in Brazil have estimated the prevalence of alcohol dependence to be around 10%. We aim to estimate alcohol use and dependence using different methods and definitions.

METHODS

The 3^rd Brazilian Household Survey on Substance Use (BHSU-3) was a nationwide, probability sample survey that interviewed 16,273 individuals. DSM-IV-TR criteria were used to determine alcohol dependence. In the BHSU-2 (covering only Brazil's 108 largest municipalities), alcohol dependence was defined as fulfilling 2/6 DSM-III criteria. Using the BHSU-3 data, alcohol use was estimated at: [1] the national level, [2] BHSU-2 municipalities, taking into consideration the sample design, and [3] BHSU-2 municipalities, ignoring the sample design. Alcohol dependence was calculated using: BHSU-3 and BHSU-2 definitions, two denominators ([A] population and [B] 12-month drinkers), and [1], [2], [3].

RESULTS

Lifetime alcohol use ranged from 66.4% (95%CI:64.8-68.0 [1]) to 70.1% ([95%CI:69.1-71.0], [3]). The estimated population presenting with alcohol dependence ranged from N = 2.3 million (BHSU-3 definition, [1]) to N = 4.3 million (BHSU-2 definition, [1]). In the first case, the prevalence among the general population [A] and drinkers [B] was 1.5% (95%CI:1.2-1.8) and 3.5% (95%CI:2.8-4.2), respectively. In second case, prevalence was 2.8% (95%CI:2.4-3.3, [A]) and 6.6% (95%CI:5.6-7.6, [B]).

CONCLUSIONS

Prevalence of alcohol dependence may vary as much as 4.3 times, analyzing the same dataset in different ways. Brazilian research on alcohol is funded by governmental research and policy-making agencies, providing subsidies for alcohol policy in the country. It is crucial that sufficient methodological information is provided in order to guarantee reproducibility and consistency over time.

Differences in Receipt of Alcohol-Related Care Across Rurality Among VA Patients Living With HIV With Unhealthy Alcohol Use

PURPOSE

It is unknown whether receipt of evidence-based alcohol-related care varies by rurality among people living with HIV (PLWH) with unhealthy alcohol use-a population for whom such care is particularly important.

METHODS

All positive screens for unhealthy alcohol use (AUDIT-C ≥ 5) among PLWH were identified using Veterans Health Administration electronic health record data (10/1/09-5/30/13). Three domains of alcohol-related care were assessed: brief intervention (BI) within 14 days, and specialty addictions treatment or alcohol use disorder (AUD) medications (filled prescription for naltrexone, disulfiram, acamprosate, or topiramate) within 1 year of positive screen. Adjusted Poisson models and recycled predictions were used to estimate predicted prevalence of outcomes across rurality (urban, large rural, small rural), clustered on facility. Secondary analyses assessed outcomes in the subsample with documented AUD.

FINDINGS

4,581 positive screens representing 3,458 PLWH (3,112 urban, 130 large rural, and 216 small rural) were included; 49.1% had diagnosed AUD. PLWH in large rural areas had highest receipt of BI (urban 56.6%, 95% CI: 55.0-58.2; large rural 66.0%, CI: 58.6-73.5; small rural 60.7%, CI: 54.6-67.0). PLWH in urban areas had highest receipt of specialty addictions treatment (urban 28.2%, CI: 26.7-29.8; large rural 19.7%, CI: 13.1-26.2; small rural 19.6%, CI: 14.1-25.0). There was no difference in receipt of AUD medications, although overall receipt was low (3%-4%). Results were similar in the subsample with AUD.

CONCLUSION

Among PLWH with unhealthy alcohol use, those in rural areas may be vulnerable to under-receipt of specialty addictions treatment. Targeted interventions may help ensure PLWH receive recommended care regardless of rurality.

Patterns of Alcohol Use Among Patients Living With HIV in Urban, Large Rural, and Small Rural Areas

BACKGROUND

For people living with HIV (PLWH), alcohol use is harmful and may be influenced by unique challenges faced by PLWH living in rural areas. We describe patterns of alcohol use across rurality among PLWH.

METHODS

Veterans Aging Cohort Study electronic health record data were used to identify patients with HIV (ICD-9 codes for HIV or AIDS) who completed AUDIT-C alcohol screening between February 1, 2008, and September 30, 2014. Regression models estimated and compared 4 alcohol use outcomes (any use [AUDIT-C > 0] and alcohol use disorder [AUD; ICD-9 codes for abuse or dependence] diagnoses among all PLWH, and AUDIT-C risk categories: lower- [1-3 men/1-2 women], moderate- [4-5 men/3-5 women], higher- 6-7]), and severe-risk [8-12], and heavy episodic drinking (HED; ≥1 past-year occasion) among PLWH reporting use) across rurality (urban, large rural, small rural) and census-defined region.

FINDINGS

Among 32,699 PLWH (29,540 urban, 1,301 large rural, and 1,828 small rural), both any alcohol use and AUD were highest in urban areas, although this varied across region. Predicted prevalence of any alcohol use was 54.1% (53.5%-54.7%) in urban, 49.6% (46.9%-52.3%) in large rural, and 50.6% (48.3%-52.9%) in small rural areas (P < .01). Predicted prevalence of AUD was 14.4% (14.0%-14.8%) in urban, 11.8% (10.0%-13.5%) in large rural, and 12.3% (10.8%-13.8%) in small rural areas (P < .01). Approximately 12% and 25% had higher- or severe-risk drinking and HED, respectively, but neither differed across rurality.

CONCLUSION

Though some variation across rurality and region was observed, alcohol-related interventions are needed for PLWH across all geographic locations.

The Double Disparity Facing Rural Local Health Departments

Residents of rural jurisdictions face significant health challenges, including some of the highest rates of risky health behaviors and worst health outcomes of any group in the country. Rural communities are served by smaller local health departments (LHDs) that are more understaffed and underfunded than their suburban and urban peers. As a result of history and current need, rural LHDs are more likely than their urban peers to be providers of direct health services, leading to relatively lower levels of population-focused activities. This review examines the double disparity faced by rural LHDs and their constituents: pervasively poorer health behaviors and outcomes and a historical lack of investment by local, state, and federal public health entities.

Association Between Receipt of Brief Alcohol Intervention and Quality of Care among Veteran Outpatients with Unhealthy Alcohol Use

BACKGROUND

Brief alcohol intervention, including advice to reduce or abstain from drinking, is widely recommended for general medical outpatients with unhealthy alcohol use, but it is challenging to implement. Among other implementation challenges, providers report reluctance to deliver such interventions, citing concerns about negatively affecting their patient relationships.

OBJECTIVE

The purpose of this study was to determine whether patient-reported receipt of brief intervention was associated with patient-reported indicators of high-quality care among veteran outpatients with unhealthy alcohol use.

DESIGN

Cross-sectional secondary data analysis was performed using the Veterans Health Administration (VA) Survey of Healthcare Experiences of Patients (SHEP).

PARTICIPANTS

The study included veteran outpatients who (1) responded to the outpatient long-form SHEP (2009-2011), (2) screened positive for unhealthy alcohol use (Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire score ≥ 3 for women, ≥ 4 for men), and (3) responded to questions assessing receipt of brief intervention and quality of care.

MAIN MEASURES

We used logistic regression models to estimate the adjusted predicted prevalence of reporting two indicators of high-quality care--patient ratings of their VA provider and of overall VA healthcare (range 0-10, dichotomized as ≥ 9 indicating high quality)--for both patients who did and did not report receipt of brief intervention (receiving alcohol-related advice from a provider) within the previous year.

KEY RESULTS

Among 10,612 eligible veterans, 43.8% reported having received brief intervention, and 84.2% and 79.1% rated their quality of care as high from their provider and the VA healthcare system, respectively. In adjusted analyses, compared to veterans who reported receiving no brief intervention, a higher proportion of veterans reporting receipt of brief intervention rated the quality of healthcare from their provider (86.9% vs. 82.0%, p < 0.01) and the VA overall (82.7% vs. 75.9%, p < 0.01) as high.

CONCLUSIONS

In this cross-sectional analysis of veterans with unhealthy alcohol use, a higher proportion of those who reported receipt of brief intervention reported receiving high-quality care compared to those who reported having received no such intervention. These findings do not support provider concerns that delivering brief intervention adversely affects patients' perceptions of care.

Drinking Patterns in US Counties From 2002 to 2012

OBJECTIVES

We estimated the prevalence of any drinking and binge drinking from 2002 to 2012 and heavy drinking from 2005 to 2012 in every US county.

METHODS

We applied small area models to Behavioral Risk Factor Surveillance System data. These models incorporated spatial and temporal smoothing and explicitly accounted for methodological changes to the Behavioral Risk Factor Surveillance System during this period.

RESULTS

We found large differences between counties in all measures of alcohol use: in 2012, any drinking prevalence ranged from 11.0% to 78.7%, heavy drinking prevalence ranged from 2.4% to 22.4%, and binge drinking prevalence ranged from 5.9% to 36.0%. Moreover, there was wide variation in the proportion of all drinkers who engaged in heavy or binge drinking. Heavy and binge drinking prevalence increased in most counties between 2005 and 2012, but the magnitude of change varied considerably.

CONCLUSIONS

There are large differences within the United States in levels and recent trends in alcohol use. These estimates should be used as an aid in designing and implementing targeted interventions and to monitor progress toward reducing the burden of excessive alcohol use.

Alcohol consumption, obesity, and psychological distress in farming communities-an Australian study

PURPOSE

Alcohol consumption patterns nationally and internationally have been identified as elevated in rural and remote populations. In the general Australian population, 20.5% of adult males and 16.9% of adult females drink at short-term, high-risk levels. Farmers are more likely to drink excessively than those living in major cities. This study seeks to explore the relationships between farmers' physical and mental health and their alcohol consumption patterns. Our hypothesis is that farmers consume alcohol at high-risk levels more often than the Australian average and that this consumption is associated with obesity and psychological distress.

METHODS

Cross-sectional descriptive data were collected within Australian farming communities from 1,792 consenting adults in 97 locations across Australia. Data on anthropometric measurements, general physical attributes and biochemical assessments were used to explore the interrelationships of self-reported alcohol consumption patterns with obesity, psychological distress, and other physical health parameters.

FINDINGS

There was a higher prevalence of short-term, high-risk alcohol consumption (56.9% in men and 27.5% in women) reported in the study compared with national data. There was also a significant positive association between the prevalence of high-risk alcohol consumption and the prevalence of obesity and abdominal adiposity in psychologically distressed participants.

CONCLUSIONS

The prevalence of short-term, high-risk alcohol consumption practices in this cohort of farming men and women is significantly higher than the Australian average. These consumption practices are coupled with a range of other measurable health issues within the farming population, such as obesity, hypertension, psychological distress, and age.