Questions about the validity of the binge or heavy drinking criterion have implications for more than just treatment evaluation

Commentary to: Questioning the validity of the 4+/5+ binge or heavy drinking criterion in college and clinical populations     

The prevalence of alcohol use disorders among night-time weekend drivers

Aims The objective of this study was to establish the extent of alcohol use disorders (AUDs) among drivers at risk for alcohol‐related crashes. The prevalence of drivers with AUDs on US roads on weekend evenings when alcohol‐related crashes are most frequent is unknown. This study will inform laws and programs designed to reduce alcohol‐involved crashes. Design Interviews using a 15‐item AUD questionnaire with a stratified random sample of non‐commercial drivers at 60 primary sampling locations in the 48 contiguous states on Fridays and Saturdays between 10 p.m. and 3 a.m. from July to November 2007. Setting Off‐road locations into which a police officer directed a random selection of motorist passing the site. Participants A total of 4614 drivers of non‐commercial vehicles. Measurements AUDs, including heavy drinking, alcohol abuse, and alcohol dependence. Findings Of the participating drivers, 73.7% were current drinkers (reported drinking in the last year). Among those drinkers, 14% were classifiable either as dependent drinkers or as abusive drinkers based on self‐reports of drinking. Another 10% of the drivers were classified as heavy drinkers. Nearly half of the drivers in the survey who had blood alcohol concentrations (BACs) at or higher than the 0.08 g per deciliter legal limit fell into one of those three AUD categories. Conclusions Survey data suggest that the majority of high‐blood alcohol concentration drivers on US roads show no clinical signs of an alcohol use disorder, but they are categorized as heavy drinkers. This suggests that environmental programs directed at reducing heavy drinking and brief behavioral interventions aimed at reducing episodes of excessive consumption have promise for reducing alcohol‐related crashes.     

US state alcohol sales compared to survey data, 1993–2006

Aims Assess long‐term trends of the correlation between alcohol sales data and survey data. Design Analyses of state alcohol consumption data from the US Alcohol Epidemiologic Data System based on sales, tax receipts or alcohol shipments. Cross‐sectional, state annual estimates of alcohol‐related measures for adults from the US Behavioral Risk Factor Surveillance System using telephone surveys. Setting United States. Participants State alcohol tax authorities, alcohol vendors, alcohol industry (sales data) and randomly selected adults aged ≥ 18 years 1993–2006 (survey data). Measurements State‐level per capita annual alcohol consumption estimates from sales data. Self‐reported alcohol consumption, current drinking, heavy drinking, binge drinking and alcohol‐impaired driving from surveys. Correlation coefficients were calculated using linear regression models. Findings State survey estimates of consumption accounted for a median of 22% to 32% of state sales data across years. Nevertheless, state consumption estimates from both sources were strongly correlated with annual r‐values ranging from 0.55–0.71. State sales data had moderate‐to‐strong correlations with survey estimates of current drinking, heavy drinking and binge drinking (range of r‐values across years: 0.57–0.65; 0.33–0.70 and 0.45–0.61, respectively), but a weaker correlation with alcohol‐impaired driving (range of r‐values: 0.24–0.56). There were no trends in the magnitude of correlation coefficients. Conclusions Although state surveys substantially underestimated alcohol consumption, the consistency of the strength of the association between sales consumption and survey data for most alcohol measures suggest both data sources continue to provide valuable information. These findings support and extend the distribution of consumption model and single distribution theory, suggesting that both sales and survey data are useful for monitoring population changes in alcohol use.     

Alcohol use contexts (social settings,drinking games/specials,and locations) as predictors of high-intensity drinking on a given day among U.S. young adults

Background

This study examined whether variability in young adult drinking social settings, drinking games/drink price specials, and locations differentiated daily high-intensity drinking (HID) likelihood; whether contexts varied by legal drinking age and college status (attending a 4-year college full-time); and whether legal drinking age and college status moderated drinking context/intensity associations.

Methods

Participants (n = 818 people, 46.3% female) were part of the Young Adult Daily Life Study in 2019 to 2022. They were originally selected because they were past 30-day drinkers from the 2018 U.S. national probability Monitoring the Future 12th grade sample and because they reported one or more days of alcohol use during 14-day data collection bursts across the following 4 years (n = 5080 drinking days). Weighted multilevel modeling was used to estimate drinking context/intensity associations. Drinking intensity was defined as moderate (females 1 to 3, males 1 to 4 drinks), binge (4 to 7, 5 to 9 drinks), or HID (8+, 10+ drinks). Models controlled for other within-person (weekend, historical time period) and between-person (sex and race/ethnicity) covariates.

Results

Contexts differentiating HID and binge drinking days included drinking with large groups, strangers, pregaming, drinking games, and more drinking locations. Legal drinking age was associated with lower odds of free drinks but greater odds of drinking at bars/restaurants. College status was associated with lower odds of drinking alone or free drinks, but greater odds of drinking with friends, large groups, pregaming, drinking games, discounted price drinks, and at bars/restaurants, parties, and more drinking locations. Legal drinking age and college status moderated some context-intensity associations.

Conclusions

Social settings, pregaming, drinking games, and drinking at more locations were associated with increased risk of HID on a given day. Legal drinking age and college status were associated with specific drinking contexts and moderated some context/intensity associations. Incorporating the contexts associated with HID into interventions may help to reduce HID and related consequences in young adults.