Drinking contexts, coping motive, simultaneous cannabis use, and high-intensity drinking among adults in the United States.

AIMS: High-intensity drinking (HID), extreme drinking considerably above the level of heavy episodic drinking (HED), is associated with long-term health and social consequences. There is limited understanding of HID beyond young adulthood. This study aims to identify concurrent risk factors for HID, comparing age differences among all adults. METHODS: Multinomial logistic and linear regression modeling was performed using a nationally-representative sample of adults (analytic n = 7956) from the 2015 and 2020 National Alcohol Surveys. The outcomes were any HID of 8-11 drinks and 12+ drinks for men, and 8+ drinks for women, and corresponding frequencies. Concurrent risk factors included coping motive, sensation seeking, simultaneous use of alcohol and cannabis (SAC), and drinking at a bar or party. Analyses were stratified by age (18-29 vs. older) and sex. RESULTS: For younger men, sensation-seeking was significantly associated with HID (vs. no HED) at both levels and frequency of HID 8-11 drinks, while drinking to cope was only significant for 12+ drinks. For older men, drinking to cope was a consistent predictor for both HID level and its frequency, but sensation-seeking was not significant. Both coping and sensation-seeking were significantly associated with any HID for all women, while coping was significant for HID frequency for younger women. Frequent drinking at bars and parties were associated with greater odds of HID for all adults. With HED as referent, similar patterns of (though fewer significant) associations were observed. CONCLUSIONS: Younger and older adults share similar risk factors for HID, with coping more consistent for older men.

When the Going Gets Tough: Multimorbidity and Heavy and Binge Drinking Among Adults.

INTRODUCTION: Multimorbidity, the presence of two or more long-term health conditions in the same individual, is an emerging epidemic associated with increased morbidity and mortality. Continued drinking concurrent with alcohol-related chronic conditions, particularly with multimorbidity, is likely to further elevate health risk. This study aimed to examine the associations of multimorbidity among diabetes, hypertension, heart disease, and cancer with drinking, and moderation of these associations by age. METHODS: Logistic regression modeling was performed in 2023 using a nationally representative sample of U.S. adults from the 2015-19 National Survey on Drug Use and Health. Multimorbidity was assessed using (1) a count of these conditions and (2) disease-specific categories. The outcomes were past month heavy drinking (7+/14+ drinks weekly) and binge drinking (4+/5+ drinks per occasion) for women and men. RESULTS: A pattern of reduced odds for drinking outcomes associated with a greater degree of multimorbidity was found. This pattern was more apparent in models using the continuous measure of multimorbidity than in those using the categorical measure, and more consistent for binge drinking than for heavy drinking and for women than for men. Significant age interactions were found: the log odds of heavy drinking and binge drinking for both men and women decreased as the number of conditions increased, and more steeply for those ages 50+ than the younger. The log odds of heavy drinking varied little among men under age 50 regardless of multimorbidity. CONCLUSIONS: Alcohol interventions to reduce drinking with multimorbidity, particularly among heavy-drinking men under age 50, are warranted.

Secondhand harms from cannabis use: Findings from Washington State, United States.

OBJECTIVE: There are few studies on harms attributed to others' cannabis use. We assessed individual- and contextual-level correlates of secondhand harms from cannabis use and considered whether cannabis legalization support, along with cannabis user status, predicted such harms. METHOD: Data were from five repeated cross-sectional, state-representative telephone surveys of Washington State residents ages 18 and over, years 2014-2016. For four surveys, outcome variables were past 12-month reports of experiencing any of five harms (family, traffic-related, vandalism, physical or financial), and in 2016 only, three harm types separately: 1) harassment, 2) safety-related (traffic, vandalism, physical), 3) family or financial, attributed to another's cannabis use. All models included a three-category typology comprised of participants' own cannabis use and whether they supported cannabis use legalization (user supporter, non-user non-supporter, non-user supporter). We estimated logistic regression models for the full sample and by gender, adjusting for individual- and Census tract-level covariates. RESULTS: Compared to non-cannabis-users supporting legalization, nonusers who did not support legalization reported significantly greater odds of perceiving secondhand cannabis harms. Cannabis users supporting legalization did not differ from nonuser supporters. Predictors of reported harms also differed by gender. While current drinkers had lower odds of reporting any harm from others' cannabis use overall, heavy drinking women but not men reported greater odds of any cannabis secondhand harm. CONCLUSIONS: Augmenting research on individual harms associated with cannabis use by including secondhand impacts such as social and family problems, along with safety risks, provides a more comprehensive picture of the effects of cannabis use.

Long-term trends in beverage-specific drinking in the National Alcohol Surveys: Differences by sex, age, and race and ethnicity.

BACKGROUND: Despite substantial declines in underage drinking and binge drinking, alcohol consumption has increased in the past 30 years. This study examined how beverage-specific drinking patterns varied by sex, age, and race and ethnicity from 1979 to 2020. METHODS: Secondary data analysis was conducted on pooled data from the National Alcohol Survey series from 1979 to 2020 of a sample of U.S. adults ages 18 years or older. Total and beverage-specific volume were calculated from graduated frequency questions on reported beverage type, which included beer, wine, and spirits. Sex-stratified analyses focused on descriptive trends of each alcohol measure over time and by age and race and ethnicity. Time-varying effect models were also conducted to identify subgroups at higher risk for increased consumption over time. RESULTS: Women's drinking increased, with alcohol volume rising substantially from 2000 to 2020; the largest increase was among women 30 and older. Men's alcohol volume also rose over this period but remained below the levels of 1979 and 1984, with older adults increasing their consumption those 18-29 decreased their drinking. Beverage-specific trends showed some similarities by gender: in 2020, wine volume was at its highest level for both women and men, while spirits volume also was at its highest level for men and in women was tied with the 1979 peak in spirits consumption. Increases were also found among Black men and women and Latina women from 2000 to 2020. CONCLUSIONS: Given the increases in alcohol volume, particularly among women and older age groups, alcohol policy, interventions, and education should consider ways to reduce harms associated with alcohol use among these groups. Continued monitoring of beverage-specific drinking patterns is needed to track policy-relevant changes.

Associations between alcohol taxes and varied health outcomes among women of reproductive age and infants.

OBJECTIVE: No studies have examined whether alcohol taxes may be relevant for reducing harms related to pregnant people's drinking. METHOD: We examined how beverage-specific ad valorem, volume-based, and sales taxes are associated with outcomes across three data sets. Drinking outcomes came from women of reproductive age in the 1990-2020 US National Alcohol Surveys (N = 11 659 women $\le$ 44 years); treatment admissions data came from the 1992-2019 Treatment Episode Data Set: Admissions (N = 1331 state-years; 582 436 pregnant women admitted to treatment); and infant and maternal outcomes came from the 2005-19 Merative Marketscan® database (1 432 979 birthing person-infant dyads). Adjusted analyses for all data sets included year fixed effects, state-year unemployment and poverty, and accounted for clustering by state. RESULTS: Models yield no robust significant associations between taxes and drinking. Increased spirits ad valorem taxes were robustly associated with lower rates of treatment admissions [adjusted IRR = 0.95, 95% CI: 0.91, 0.99]. Increased wine and spirits volume-based taxes were both robustly associated with lower odds of infant morbidities [wine aOR = 0.98, 95% CI: 0.96, 0.99; spirits aOR = 0.99, 95% CI: 0.98, 1.00] and lower odds of severe maternal morbidities [wine aOR = 0.91, 95% CI: 0.86, 0.97; spirits aOR = 0.95, 95% CI: 0.92, 0.97]. Having an off-premise spirits sales tax was also robustly related to lower odds of severe maternal morbidities [aOR = 0.78, 95% CI: 0.64, 0.96]. CONCLUSIONS: Results show protective associations between increased wine and spirits volume-based and sales taxes with infant and maternal morbidities. Policies that index tax rates to inflation might yield more public health benefits, including for pregnant people and infants.

Relationships Between Alcohol Policies and Infant Morbidities and Injuries.

INTRODUCTION: Previous research has found that policies specifically focused on pregnant people's alcohol use are largely ineffective. Therefore, the purpose of this study is to analyze the relationships between general population policies regulating alcohol physical availability and outcomes related to pregnant people's alcohol use, specifically infant morbidities and injuries. METHODS: Outcome data were obtained from Merative MarketScan, a longitudinal commercial insurance claims data set. Policy data were obtained from the National Institute on Alcohol Abuse and Alcoholism's Alcohol Policy Information System, the National Alcohol Beverage Control Association, and Liquor Handbooks and merged using policies in effect during the estimated year of conception. Relationships between state-level policies regulating sites, days/hours, and government monopoly of liquor sales and infant morbidities and injuries were examined. Analyses used logistic regression with individual controls, fixed effects for state and year, state-specific time trends, and SEs clustered by state. The study analysis was conducted from 2021 to 2023. RESULTS: The analytic sample included 1,432,979 infant-birthing person pairs, specifically people aged 25-50 years who gave birth to a singleton between 2006 and 2019. A total of 3.1% of infants had a morbidity and 2.1% of infants had an injury. State government monopoly on liquor sales was associated with reduced odds of infant morbidities and injuries, whereas gas station liquor sales were associated with increased odds of infant morbidities and injuries. Allowing liquor sales after 10PM was associated with increased odds for infant injuries. No effect was found for allowing liquor sales in grocery stores or on Sundays. CONCLUSIONS: Findings suggest that limiting alcohol availability for the general population may help reduce adverse infant outcomes related to pregnant people's alcohol use.

Associations between simultaneous use of alcohol and cannabis and cannabis-related problems in 2014-2016: evidence from the Washington panel survey.

BACKGROUND: To address the research question of how simultaneous users of alcohol and cannabis differ from concurrent users in risk of cannabis use problems after the recreational marijuana legalization in Washington State. METHODS: We used generalized estimating equations with a Poisson distribution to analyze the association between simultaneous use of alcohol and marijuana (SAM) and cannabis-related problems compared to concurrent use. The data is a longitudinal sample of drinkers and cannabis users (n = 257, 47% female) aged 18 years and older from Washington State in 2014-2016. We adjusted for survey weights to account for differential probability of selection and response rates. The primary outcome is the past-six-month CUDIT problem subscale (ranging from 0 to 28), which is the total score for seven CUDIT problem items, after excluding the three items that covered marijuana use frequency. Covariates include marijuana use frequency (daily/near daily use, regular use, or infrequent use), marijuana daily quantity, alcohol daily volume, panel survey cycle, medical marijuana recommendation, driving time to nearest marijuana outlet, age of marijuana use onset, and other demographics. RESULTS: After adjusting for covariates, we found that compared to concurrent use, SAM was significantly positively associated with CUDIT problem subscale (IRR = 1.68, 95% CI: 1.25-2.27, p < 0.001); daily/near daily use of marijuana was strongly significantly associated with CUDIT problem subscale compared with infrequent use (IRR = 5.1, 2.71-9.57, p < 0.001) or regular use (IRR = 3.05, 1.91-4.85, p < 0.001). Secondary analyses using CUDIT total score as the outcome also showed a significant positive association with SAM compared to concurrent use (IRR = 1.17, 1.02-1.34, p < 0.05). CONCLUSIONS: This study highlighted the importance of SAM, in addition to cannabis use frequency for predicting cannabis-related problems.

Alcoholic beverage types consumed by population subgroups in the United States: Implications for alcohol policy to address health disparities.

INTRODUCTION: We aimed to identify alcoholic beverage types more likely to be consumed by demographic subgroups with greater alcohol-related health risk than others, mainly individuals with low socio-economic status, racial/ethnic minority status and high drinking levels. METHODS: Fractional logit modelling was performed using a nationally representative sample of US adult drinkers (analytic N = 37,657) from the National Epidemiologic Survey on Alcohol and Related Conditions Waves 2 (2004-2005) and 3 (2012-2013). The outcomes were the proportions of pure alcohol consumed as beer, wine, liquor and coolers (defined as wine-/malt-/liquor-based coolers, hard lemonade, hard cider and any prepackaged cocktails of alcohol and mixer). RESULTS: Adults with lower education and low or medium income were more likely to drink beer, liquor and coolers, while those with a 4-year college/advanced degree and those with high income preferred wine. Excepting Asian adults, racial/ethnic minority adults were more likely to drink beer (Hispanics) and liquor (Blacks), compared with White adults. High- or very-high-level drinkers were more likely to consume liquor and beer and less likely to consume wine (and coolers), compared with low-level drinkers. High-level and very-high-level drinkers, who were less than 10% of all drinkers, consumed over half of the total volume of beer, liquor and coolers consumed by all adults. DISCUSSION AND CONCLUSIONS: Individuals with low socio-economic status, racial/ethnic minority status or high drinking level prefer liquor and beer. As alcohol taxes, sales and marketing practices all are beverage-specific, targeted approaches to reduce consumption of these beverages, particularly among individuals with these profiles, are warranted.

Life-course Accumulated Cannabis Use and Recent Cannabis-related Problems in the Washington Panel Survey.

BACKGROUND: Previous studies have only investigated the short-term association of recent cannabis use with cannabis-related problems, without accounting for the onset, duration, and variations in frequency of use in the life-course. METHODS: We obtained data from the Washington panel survey during 2014-2016. We constructed accumulated lifetime exposure to cannabis use, heavy drinking (5+ drinks on one occasion), and cigarette pack-years from age of onset based on a series of decades-based questions on cannabis use and heavy drinking, and tobacco use history. We used Generalized Estimating Equation with Poisson distribution to investigate the association between accumulated cannabis use and the past-6-month CUDIT score. We adjusted for accumulated heavy drinking and cigarette pack-years, substance co-use variables, demographics, and applied survey weights. RESULTS: We found strong and statistically significant correlations for the lifetime measures across the four panel surveys, indicating that the life-course measures of cannabis use and heavy drinking were largely reliable. We found a statistically significant relationship between the lifetime accumulated exposure to cannabis and CUDIT. The results were robust to the inconsistencies in reported frequencies and onset age across panel surveys. CONCLUSIONS: This study established the relationship between lifetime exposure to cannabis and cannabis-related problems in a representative sample of drinkers and marijuana users in Washington state. We have also provided test-retest validity and question details for the decades-based cannabis and heavy drinking measures to facilitate their use in future studies of cannabis and alcohol-related outcomes.

Associations between state-level general population alcohol policies and drinking outcomes among women of reproductive age: Results from 1984 to 2020 National Alcohol Surveys.

BACKGROUND: Policies specific to alcohol use during pregnancy have not been found to reduce risks related to alcohol use during pregnancy. In contrast, general population alcohol policies are protective for the general population. Here, we assessed whether US state-level general population alcohol policies are related to drinking outcomes among women of reproductive age. METHODS: We conducted secondary analyses of 1984-2020 National Alcohol Survey data (N = 13,555 women ≤44 years old). State-level policy exposures were government control of liquor retail sales, heavy beer at gas stations, heavy beer at grocery stores, liquor at grocery stores, Sunday off-premise liquor sales, and blood alcohol concentration (BAC) driving limits (no law, 0.10 limit, 0.05-0.08 limit). Outcomes were past 12-month number of drinks, ≥5 drink days, ≥8 drink days, and any DSM-IV alcohol abuse/dependence symptoms. Regressions adjusted for individual and state-level controls, clustering by state, and included fixed effects for survey month and year. RESULTS: Allowing Sunday off-premise liquor sales versus not was related to having 1.20 times as many drinks (95% CI: 1.01, 1.42), 1.41 times as many ≥5 drink days (95% CI: 1.08, 1.85), and 1.91 times as many ≥8 drink days (95% CI: 1.28, 2.83). BAC limits of 0.05-0.08 for driving versus no BAC limit was related to 0.51 times fewer drinks (95% CI: 0.27, 0.96), 0.28 times fewer days with ≥5 drinks (95% CI: 0.10, 0.75), and 0.20 times fewer days with ≥8 drinks (95% CI: 0.08, 0.47). CONCLUSIONS: US state-level policies prohibiting Sunday off-premise liquor sales and BAC limits of 0.05-0.08 for driving are related to less past 12-month overall and heavy drinking among women 18-44 years old.

Beverage- and Context-Specific Alcohol Consumption During COVID-19 in the United States: The Role of Alcohol To-Go and Delivery Purchases.

OBJECTIVE: Alcohol delivery and to-go sales may contribute to changes in drinking patterns, including where and what people drink. This study tested whether home delivery and to-go alcohol purchases were associated with context- and beverage-specific consumption volumes during the first year of the COVID-19 pandemic after adjusting for pre-pandemic consumption volumes. METHOD: Data from a pre-pandemic panel were compared to a during-pandemic panel of the National Alcohol Survey (n = 1,150 adult drinkers, 52.7% female). Outcomes were past-year alcohol consumption volumes in standard drinks (overall, by beverage type, and by location). Independent variables included past-year alcohol delivery and to-go purchases (separately). Covariates comprised baseline beverage- or context-specific volume, demographics, COVID-19 impacts, and drinking motivations. Negative binomial regression tested associations between alcohol purchases and change in overall, beverage-, and context-specific consumption. RESULTS: On average, respondents who had alcohol delivered (vs. not) reported consuming larger volumes overall (incidence rate ratio [IRR] = 1.58, 95% CI [1.07, 2.32], p = .02), of wine (IRR = 2.90, 95% CI [1.50, 5.63], p < .04), of spirits (IRR = 1.59, 95% CI [1.03, 2.44], p = .04), and at home (IRR = 1.59, 95% CI [1.10, 2.31], p = .01). People who bought alcohol to go (vs. not) reported larger volumes of wine (IRR = 1.41, 95% CI [1.02, 1.96], p = .04), at home (IRR = 1.60, 95% CI [1.10, 2.32], p = .01), and in bars (IRR = 4.55, 95% CI [2.55, 8.11], p < .001). Finally, people who had alcohol delivered reported drinking smaller volumes in bars (IRR = 0.49, 95% CI [0.24, 0.98], p = .04). CONCLUSIONS: During the first year of the pandemic, adults who had alcohol delivered or bought it to go reported larger volumes for several locations and beverage types.

The Relationship Between Drinking Patterns and Chronic Health Conditions: New Evidence From Two U.S. National Alcohol Surveys.

OBJECTIVE: The association of many chronic disease conditions with alcohol consumption is well established, and research on drinking patterns following diagnosis suggests that those with a chronic condition drink less than their healthy counterparts. However, these studies have not controlled for confounding influences on this relationship. This article reports current drinking patterns of those with one of four chronic disease conditions (hypertension, diabetes, heart disease, cancer) compared to those without, controlling for covariates. METHOD: Data were analyzed from a merged sample of the two National Alcohol Surveys of the U.S. adult population (2014-2015 and 2019-2020; n = 9,597). Those reporting any one of the four disease conditions were matched to healthy control respondents on demographic characteristics and history of drinking using propensity score weighting (PSW). RESULTS: Those with hypertension and heart disease appeared to drink less than controls during the last year, but after models were adjusted for covariates or PSW, no significant differences were found. For diabetes, only the PSW models showed no significant difference in drinking from controls, whereas both unadjusted and adjusted models for cancer showed no differences from controls. CONCLUSIONS: Controlling for covariates and PSW appeared to make cases and their healthy controls more similar in past-year drinking patterns. Observed similarity in drinking patterns of those with and without a chronic disease may serve as an impetus for a greater focus on screening and identification of those with chronic conditions who would benefit from focused harm-reduction messages and implementation of effective alcohol interventions.

At-Risk Drinking in US Adults with Health Conditions: Differences by Gender, Race, and Ethnicity in the National Survey of Drug Use and Health, 2015-2019.

Few studies in the US address alcohol consumption patterns in adults with chronic health conditions, and little is known about race and ethnicity differences. This study examined at-risk drinking prevalence rates among US adults with hypertension, diabetes, heart condition or cancer and assessed differences by gender and, among adults aged 50 and older, by race and ethnicity. We used data from the 2015-2019 National Survey on Drug Use and Health (N = 209,183) to estimate (1) prevalence rates and (2) multivariable logistic regression models predicting odds of at-risk drinking among adults with hypertension, diabetes, heart condition, or cancer, compared to adults with none of these conditions. To examine subgroup differences, analyses were stratified by gender (ages 18-49 and ages 50 +) and by gender and race and ethnicity for adults ages 50 + . Results showed that all adults with diabetes and women ages 50 + with heart conditions in the full sample had lower odds of at-risk drinking relative to their counterparts without any of the four conditions. Men ages 50 + with hypertension had greater odds. In race and ethnicity assessments among adults ages 50 + , only non-Hispanic White (NHW) men and women with diabetes and heart conditions had lower odds, and NHW men and women and Hispanic men with hypertension had greater odds of at-risk drinking. There were differential associations of at-risk drinking with demographic and lifestyle indicators across race and ethnicity groups. These findings underscore tailored efforts in community and clinical settings to reduce at-risk drinking in subgroups with health condition diagnoses.

Reducing alcohol use through alcohol control policies in the general population and population subgroups: a systematic review and meta-analysis.

We estimate the effects of alcohol taxation, minimum unit pricing (MUP), and restricted temporal availability on overall alcohol consumption and review their differential impact across sociodemographic groups. Web of Science, Medline, PsycInfo, Embase, and EconLit were searched on 08/12/2022 and 09/26/2022 for studies on newly introduced or changed alcohol policies published between 2000 and 2022 (Prospero registration: CRD42022339791). We combined data using random-effects meta-analyses. Risk of bias was assessed using the Newcastle-Ottawa Scale. Of 1887 reports, 36 were eligible. Doubling alcohol taxes or introducing MUP (Int$ 0.90/10 g of pure alcohol) reduced consumption by 10% (for taxation: 95% prediction intervals [PI]: -18.5%, -1.2%; for MUP: 95% PI: -28.2%, 5.8%), restricting alcohol sales by one day a week reduced consumption by 3.6% (95% PI: -7.2%, -0.1%). Substantial between-study heterogeneity contributes to high levels of uncertainty and must be considered in interpretation. Pricing policies resulted in greater consumption changes among low-income alcohol users, while results were inconclusive for other socioeconomic indicators, gender, and racial and ethnic groups. Research is needed on the differential impact of alcohol policies, particularly for groups bearing a disproportionate alcohol-attributable health burden. Funding: Research reported in this publication was supported by the National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health under Award Number R01AA028009.

Risky drinking and other drug use in adults with chronic conditions in the United States: differential associations by race/ethnicity.

Co-use of multiple drugs may prolong or increase heavy drinking, even for individuals with health conditions adversely affected by it. Patterns of alcohol and drug use may vary across racial/ethnic groups, with differential implications for health. This study examines racial/ethnic differences in the associations between risky drinking and other drug use in adults with diabetes, hypertension, heart disease, or cancer. Multiple logistic regression modeling, stratified by condition, was performed using a nationally representative sample of adults drawn from the 2015 to 2019 National Survey on Drug and Health. The outcome was risky drinking (consuming more than 7/14 drinks weekly). Other drugs considered were tobacco, marijuana, illicit drugs, and non-medical prescription drugs. Covariates included age, sex, education, income, marital/cohabitation status, health insurance coverage, and self-rated health status. Each drug category was positively associated with risky drinking across all four conditions. Racial/ethnic minority adults were less likely than White adults to engage in risky drinking, with this pattern most consistent for those with hypertension. Other drug use in minority adults (i.e. tobacco and illicit drug use in Black and Hispanic adults, and marijuana and prescription drug use in Asian adults) was associated with disproportionately greater odds of risky drinking compared with White adults. This pattern was more prominent for those with a heart condition, and not found for those with cancer. Future interventions might address co-use of alcohol and other drugs in adults with chronic conditions, with special attention to racial/ethnic minority adults.

Characteristics associated with buying alcohol to-go and for delivery during the first year of the COVID-19 pandemic among a national sample of US adults.

INTRODUCTION: This study: (i) determined the population coverage of alcohol delivery and to-go/carryout policies (i.e., policies permitting bars/restaurants to sell individual drinks for off-site consumption) in 2019 and 2020; and (ii) identified characteristics associated with alcohol delivery and to-go purchases. METHODS: Data are from the National Alcohol Survey and Alcohol Policy Information System (n = 1677 adults, 52.1% female). Population coverage models summed state populations across state-level bar/restaurant delivery and to-go/carryout policies by beverage. Regression outcomes were past-year alcohol delivery and to-go purchases. Independent variables included demographics, excessive drinking, COVID-19 impacts and state COVID-19 bar/restaurant alcohol laws. Chi-squared tests and logistic regression models tested associations between delivery/to-go purchases and independent variables. RESULTS: Overall, 7.5% of adults had alcohol delivered and 14.5% bought alcohol to-go. From December 2019 to December 2020, the number of people living in states allowing beer/wine/spirits delivery (284%) and to-go sales (627%) rose steeply. People who were Black (vs. White; adjusted odds ratio [aOR] 2.92, p < 0.001), excessive drinkers (vs. non-excessive drinkers; aOR 2.06, p < 0.001) or lived in states allowing beer/wine/spirits to-go sales (aOR 2.20, p = 0.01) had higher odds of buying alcohol to-go. Conversely, older people had lower odds of buying alcohol to-go (aOR 0.97, p < 0.001). People with some college or more (vs. high school degree or less, aOR 2.21, p < 0.001) and a higher economic burden (vs. fewer COVID-19 impacts, aOR 2.32, p = 0.05) had higher odds of alcohol delivery. DISCUSSION AND CONCLUSIONS: A select sub-population defined by socioeconomic status, race, excessive drinking and state policies bought alcohol for delivery or to-go in the Unites States.

Inequitable access to general and behavioral healthcare in the US during the COVID-19 pandemic: A role for telehealth?

Wide-ranging effects of the COVID-19 pandemic have led to increased psychological distress and alcohol consumption, and disproportionate hardship for disadvantaged groups. Early in the pandemic, telehealth services were expanded to maintain healthcare access amidst lockdowns, medical office closures, and fear of infection. This study examines general and behavioral healthcare access and disparities during the first year of the pandemic. Data are from the 2019-2020 US National Alcohol Survey (collected February 2019 to April 2020) and its COVID follow-up survey conducted January 30 to March 28, 2021 (N = 1819). General and behavioral healthcare-related outcomes were assessed at follow-up, and included perceived need for and receipt of care, delayed care, and use of telehealth since April 1, 2020. Results indicate that the majority of respondents with perceived need for healthcare received some behavioral healthcare (reported by 63%) and particularly general healthcare (88%), but nearly half (48%) delayed needed care. Delays were mostly due to COVID-related reasons, but cost barriers also were common and significantly impeded care-seeking by uninsured persons, young adults, rural residents, and persons whose employment was reduced by the pandemic. Disparities in the receipt of healthcare were pronounced for Hispanic/Latinx (vs. White) and lower-income (vs. higher-income) groups (AORs <0.37, p's < 0.05). Notably, telehealth was commonly used by Hispanic/Latinx and lower-income groups for general and particularly behavioral healthcare. Results suggest that telehealth has provided an important bridge to healthcare for certain medically underserved groups during the pandemic, and may be vital to future efforts to increase equity in healthcare access.

Simulation of Alcohol Control Policies for Health Equity (SIMAH) Project: Study Design and First Results.

Since about 2010, life expectancy at birth in the United States has stagnated and begun to decline, with concurrent increases in the socioeconomic divide in life expectancy. The Simulation of Alcohol Control Policies for Health Equity (SIMAH) Project uses a novel microsimulation approach to investigate the extent to which alcohol use, socioeconomic status (SES), and race/ethnicity contribute to unequal developments in US life expectancy and how alcohol control interventions could reduce such inequalities. Representative, secondary data from several sources will be integrated into one coherent, dynamic microsimulation to model life-course changes in SES and alcohol use and cause-specific mortality attributable to alcohol use by SES, race/ethnicity, age, and sex. Markov models will be used to inform transition intensities between levels of SES and drinking patterns. The model will be used to compare a baseline scenario with multiple counterfactual intervention scenarios. The preliminary results indicate that the crucial microsimulation component provides a good fit to observed demographic changes in the population, providing a robust baseline model for further simulation work. By demonstrating the feasibility of this novel approach, the SIMAH Project promises to offer superior integration of relevant empirical evidence to inform public health policy for a more equitable future.

Does the relationship between alcohol retail environment and alcohol outcomes vary by depressive symptoms? Findings from a U.S. Survey of Black, Hispanic and White drinkers.

AIMS: To assess whether associations between alcohol availability and consumption, drinking to drunkenness, and negative drinking consequences vary among individuals with elevated depressive symptoms. METHODS: 10,482 current drinkers in 2005-2015 National Alcohol Surveys (50.0% female; 74.4% White, 8.7% Black, 11.1% Hispanic). Elevated depressive symptoms was defined as having symptoms suggestive of major depressive disorder (above CES-D8/PHQ-2 cut-offs) versus no/sub-threshold symptoms (below cut-offs). Inverse probability of treatment weighted and covariate adjusted Poisson models with robust standard errors estimated associations of ZIP-code bar density and off-premise outlet density (locations/1,000 residents), elevated depressive symptoms, and their interaction with past-year volume consumed, monthly drinking to drunkenness, and negative drinking consequences. Models were then stratified by sex and race and ethnicity. RESULTS: Overall, 13.7% of respondents had elevated depressive symptoms. Regarding density, the only statistically significant association observed was between off-premise density and volume consumed (rate ratio = 1.3, 95% confidence interval = 1.0, 1.7). Elevated depressive symptoms were associated with higher volume consumed, prevalence of drinking to drunkenness, and prevalence of negative consequences when controlling for off-premise density or bar density. However, there was no evidence of interaction between symptoms and density in the full sample nor among subgroups. CONCLUSION: This study suggests that, while elevated depressive symptoms do not alter associations between alcohol availability and alcohol use and problems, they remain associated with these outcomes among past-year drinkers in a U.S. general population sample even when accounting for differential availability. Addressing depressive symptoms should be considered along with other policies to reduce population-level drinking and alcohol problems.

Relapse to problem drinking or trading up to spirits? Using U.S. national cross-sectional survey data to highlight possible negative impacts of potential tobacco retail changes.

BACKGROUND: According to the National Alcohol Beverage Control Association, twelve states in the United States (U.S.) have government retail monopolies on spirits/liquor sales. With a new federal minimum legal sales age for tobacco (raised from 18 to 21, the minimum legal sales age for alcohol), we examine possible unintended consequences of a hypothetical policy change restricting retail tobacco sales to state-run spirits/liquor stores in alcohol control states, which has been proposed as a tobacco endgame strategy. METHODS: We used cross-sectional survey data from 14,821 randomly-selected adults ages 21 and older who responded to the 2015 or 2020 U.S. National Alcohol Survey (51.8% female; 65.8% identified as non-Hispanic White, 12.4% as Black or African American, 14.2% as Hispanic or Latinx; 34.0% had a low level of education), including 2,274 respondents (18.9%) residing in one of the alcohol control states (representing 42.2 million (M) adults ages 21+). We estimated associations between tobacco measures (lifetime smoking status, lifetime daily smoking, past-year daily smoking) and alcohol measures (drinking status, beverage choices, lifetime alcohol use disorder (AUD) status, recovery status) overall and for specific subgroups. RESULTS: In control states, 55.1% of people who smoked daily in the past year also reported lifetime AUD, including an estimated 3.56 M adults ages 21 + who reported prior (but not current) AUD. The association of daily smoking with lifetime AUD was stronger among those with low education compared to those with higher education. Further, 58.8% of people in recovery from an alcohol and/or drug problem (1.49 M adults ages 21+) smoked daily, and this was more marked among women than men in control states. CONCLUSION: There could be negative consequences of an endgame strategy to restructure tobacco retail sales, including increased risk for relapse to drinking among people who smoke daily, especially among women and people with low levels of education. Strategies to mitigate unintended harms would be needed if such a policy were implemented.