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Background and aims: Alcohol consumption increased in the early phases of the COVID‐19 pandemic in the United States. Alcohol use disorder (AUD) and risky drinking are linked to harmful health effects. This paper aimed to project future health and cost impacts of shifts in alcohol consumption during the COVID‐19 pandemic. Design: An individual‐level simulation model of the long‐term drinking patterns for people with life‐time AUD was used to simulate 10 000 individuals and project model outcomes to the estimated 25.9 million current drinkers with life‐time AUD in the United States. The model considered three scenarios: (1) no change (counterfactual for comparison); (2) increased drinking levels persist for 1 year ('increase‐1') and (3) increased drinking levels persist for 5 years ('increase‐5'). Setting: United States. Participants: Current drinkers with life‐time AUD. Measurements: Life expectancy [life‐years (LYs)], quality‐adjusted life‐years (QALYs), alcohol‐related hospitalizations and associated hospitalization costs and alcohol‐related deaths, during a 5‐year period. Findings Short‐term increases in alcohol consumption (increase‐1 scenario) resulted in a loss of 79 000 [95% uncertainty interval (UI]) 26 000–201 000] LYs, a loss of 332 000 (104 000–604 000) QALYs and 295 000 (82 000–501 000) more alcohol‐related hospitalizations, costing an additional $5.4 billion ($1.5–9.3 billion) over 5 years. Hospitalizations for cirrhosis of the liver accounted for approximately $3.0 billion ($0.9–4.8 billion) in hospitalization costs, more than half the increase across all alcohol‐related conditions. Health and cost impacts were more pronounced for older age groups (51+), women and non‐Hispanic black individuals. Increasing the duration of pandemic‐driven increases in alcohol consumption in the increase‐5 scenario resulted in larger impacts. Conclusions: Simulations show that if the increase in alcohol consumption observed in the United States in the first year of the pandemic continues, alcohol‐related mortality, morbidity and associated costs will increase substantially over the next 5 years. [ABSTRACT FROM AUTHOR]

Introduction: Alcohol consumption and risky drinking behavior increased in the early phases of the COVID-19 pandemic in the United States, but it is not known if and for whom those changes were sustained over the longer term. This study analyzes longitudinal data on drinking patterns during the first year of the COVID-19 pandemic in the United States. Methods: A nationally representative longitudinal survey was used to assess alcohol consumption patterns among respondents 21 years and older who reported drinking between February and November 2020 (N = 557) overall and by subgroups. Results: Compared with February, drinks per month in April and November 2020 significantly (P ≤ 0.01) increased by 36% and 38%, respectively. The proportion exceeding drinking guidelines significantly increased by 27% and 39%, and increases for binge drinking were 26% and 30% (both P = 0.01). February to November increases in proportion exceeding drinking guidelines were significantly larger for women (54% increase) than for men (32%), and for Black (508%) than for White respondents (16%). Drinks per month significantly increased more for respondents with children in the household (64%) than for those without children (20%). There also was a significantly larger increase in drinks per month for those who reported drinking to cope (57% increase) and those who reported drinking for enhancement (40%) than for those who did not. Conclusions: Self-reported alcohol consumption and risky drinking patterns increased during the first year of the COVID-19 pandemic. Monitoring alcohol consumption changes, with a focus on marginalized groups, is warranted to plan behavioral health services and inform prevention for future pandemics. [ABSTRACT FROM AUTHOR]

Objectives: Excessive alcohol use is a serious and growing public health problem. Alcoholic beverage sales in the United States increased greatly immediately after the stay-at-home orders and relaxing of alcohol restrictions associated with the COVID-19 pandemic. However, it is not known to what degree alcohol consumption changed. This study assesses differences in alcohol drinking patterns before and after the enactment of stay-at-home orders. Methods: In May 2020, a cross-sectional online survey of 993 individuals using a probability-based panel designed to be representative of the US population aged 21 and older was used to assess alcohol drinking patterns before (February, 2020) and after (April, 2020) the enactment of stay-at-home orders among those who consumed alcohol in February, 2020 (n=555). Reported differences in alcohol consumption were computed, and associations between differences in consumption patterns and individual characteristics were examined. Results: Compared to February, respondents reported consuming more drinks per day in April (+29%, P<0.001), and a greater proportion reported exceeding recommended drinking limits (+20%, P<0.001) and binge drinking (=21%, P=0.001) in April. These differences were found for all sociodemographic subgroups assessed. February to April differences in the proportion exceeding drinking limits were larger for women than men (P=0.026) and for Black, non-Hispanic people than White, non-Hispanic people (P=0.028). Conclusions: There is an association among the COVID-19 pandemic, the public health response to it, changes in alcohol policy, and alcohol consumption. Public health monitoring of alcohol consumption during the pandemic is warranted. [ABSTRACT FROM AUTHOR]

Aims: To estimate US population health utilities for subgroups defined by alcohol use disorder (AUD) status and consumption level. Design Cross‐sectional survey. Setting: Community settings in the United States (i.e. excluding institutional settings). Participants: A total of 36,042 adults (age 18+) in non‐institutional settings in the United States. Measurements We used 12‐item Short Form Survey (SF‐12) data from the National Epidemiologic Survey on Alcohol and Related Conditions–III to calculate mean Short Form–6 dimension (SF‐6D) utility scores across World Health Organization alcohol consumption risk levels—very high risk, high risk, medium risk, low risk and an additional abstinent level—for three groups: (1) the general population (n = 36,042), (2) individuals with life‐time AUD (n = 9925) and (3) individuals with current AUD (n = 5083), and assessed minimally important differences (MIDs) between consumption levels. Each group is a subset of the previous group. Findings The general population's mean SF‐6D utility was higher than that of individuals with life‐time or current AUD across all consumption risk levels (0.79 versus 0.76 for both AUD groups). For all groups, SF‐6D utilities increased as consumption risk level decreased to non‐abstinent levels, and reducing consumption from very high risk to any lower level was associated with a statistically significant and meaningful improvement in utility. For individuals with life‐time or current AUD, becoming abstinent from high‐, medium‐ and low‐risk levels was associated with significantly and meaningfully worse utilities. Conclusions: Higher alcohol consumption risk levels appear to be associated with lower health index scores for the general population and individuals with a history of alcohol use disorder, meaning that higher alcohol consumption is associated with worse health‐related quality of life. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular disease and stroke are common and costly, and their prevalence is rising. Forecasts on the prevalence of risk factors and clinical events are crucial., Methods: Using the 2015 to March 2020 National Health and Nutrition Examination Survey and 2015 to 2019 Medical Expenditure Panel Survey, we estimated trends in prevalence for cardiovascular risk factors based on adverse levels of Life's Essential 8 and clinical cardiovascular disease and stroke. We projected through 2050, overall and by age and race and ethnicity, accounting for changes in disease prevalence and demographics., Results: We estimate that among adults, prevalence of hypertension will increase from 51.2% in 2020 to 61.0% in 2050. Diabetes (16.3% to 26.8%) and obesity (43.1% to 60.6%) will increase, whereas hypercholesterolemia will decline (45.8% to 24.0%). The prevalences of poor diet, inadequate physical activity, and smoking are estimated to improve over time, whereas inadequate sleep will worsen. Prevalences of coronary disease (7.8% to 9.2%), heart failure (2.7% to 3.8%), stroke (3.9% to 6.4%), atrial fibrillation (1.7% to 2.4%), and total cardiovascular disease (11.3% to 15.0%) will rise. Clinical CVD will affect 45 million adults, and CVD including hypertension will affect more than 184 million adults by 2050 (>61%). Similar trends are projected in children. Most adverse trends are projected to be worse among people identifying as American Indian/Alaska Native or multiracial, Black, or Hispanic., Conclusions: The prevalence of many cardiovascular risk factors and most established diseases will increase over the next 30 years. Clinical and public health interventions are needed to effectively manage, stem, and even reverse these adverse trends.

Background: Nonmedical prescription drug use is estimated to be the second most abused category of drugs after marijuana among adolescents. Prescription drugs can be highly addictive and prolonged use can produce neurological changes and physiological dependence and could result in adverse mental health outcomes. This topic is largely unexplored, as current knowledge of possible mechanisms of the linkage between adverse mental health consequences and prescription drug misuse is limited., Aim of the Study: This study explores the relationship between nonmedical use of prescription drugs and depression outcomes among adolescents. Given their complex and confounded relationship, our purpose is to better understand the extent to which nonmedical use of prescription drugs is an antecedent of depressive episodes., Methods: Using data from the 2008-2012 National Survey on Drug Use and Health, the study employs a propensity score matching methodology to ascertain whether nonmedical use of prescription drugs is linked to major depressive episodes among adolescents., Results: The results document a positive relationship between nonmedical prescription drug use and major depressive episodes among adolescents. Specifically, the results indicate that adolescents who used prescription drugs non-medically are 33% to 35% more likely to experience major depressive episodes compared to their non-abusing counterparts., Implications for Health Policy: This provides additional evidence about the potential public health consequences of misuse of prescription drugs on adverse mental health outcomes. Given the significant increased risk of major depressive episode among adolescents who use prescription drugs nonmedically, it seems that the prevention of nonmedical prescription drug use warrants the utilization of both educational and public health resources., Implications for Future Research: An important area for future research is to understand how any policy initiatives in this area must strike a balance between the need to minimize the misuse of prescription drugs and the need to ensure access for their legitimate health care use.