Distribution of Drinks Consumed by U.S. Adults by Average Daily Alcohol Consumption: A Comparison of 2 Nationwide Surveys

Mental health, substance use, and a composite of sleep health in adults, 2018 Ohio behavioral risk factor surveillance system

OBJECTIVES

Various factors impact sleep health including mental health and substance use. Mental health issues and substance use continue to rise in the United States. Yet, the association between mental health, substance use and sleep health in adults remains unclear.

METHODS

We used multivariable linear regression models to examine the associations between mental health (poor mental health days in the past 30 days) and substance use (marijuana, tobacco, alcohol) with sleep health (individual dimensions of sleep: alertness, sleep efficiency, duration, and sleep health composite score) in 4333 participants from the 2018 Ohio Behavioral Risk Factor Surveillance System Survey.

RESULTS

Better mental health was associated with higher alertness, higher sleep efficiency, longer sleep duration and a higher sleep health composite score even after controlling for covariates (individual: sex at birth, age, body mass index, race, education, sleep disordered breathing, and area-level: socioeconomic deprivation) (all p < .001). Higher marijuana and tobacco use were associated with lower individual sleep health dimensions (marijuana with sleep efficiency and duration and tobacco use with lower efficiency) and a lower sleep health composite score even after controlling for covariates for tobacco use (p < .001). Contrary to the hypothesis, higher alcohol use was associated with higher alertness and a higher sleep health composite score (p < .001), however after adjusting for covariates these associations were no longer significant.

CONCLUSIONS

The implications of these trends on sleep health are important to address as mental health and substance use are modifiable targets to consider when addressing sleep health.

Drinking patterns among US men and women: Racial and ethnic differences from adolescence to early midlife

BACKGROUND

Drinking patterns among young adult men and women in the United States have been understudied, especially among racial and ethnic groups such as Asian Americans and Hispanics. Because alcohol-related racial and ethnic health disparities persist or increase in midlife, identifying peak ages of hazardous drinking could help to reduce disparities.

METHODS

We used the National Longitudinal Study of Adolescent to Adult Health to examine: (1) past 12-month heavy episodic drinking (HED) and total alcohol volume consumption among non-Hispanic White (NHW), Black, Hispanic, and Asian men and women from ages 12 through 41, and (2) age-varying associations of race and ethnicity with drinking. Hispanic and Asian ethnic groups were disaggregated by historical drinking patterns. Time-varying effect models accounted for major demographic confounders.

RESULTS

NHW men and women experienced elevated drinking rates in their early 20s, with a second elevation in their 30s. Black men and women did not have elevated drinking until their 30s. Among Hispanic men and women, peak drinking periods varied by gender and subgroup drinking pattern. Peak HED and total consumption emerged in the early 30s for Asian men, while peak HED occurred in the early 20s for Asian women. Drinking at certain ages for some racial and ethnic minoritized men and women did not differ from that in their NHW counterparts.

CONCLUSIONS

Age periods during which subgroups in the U.S. population experience elevated alcohol consumption vary by ethnicity and gender. Recognition of these group differences could enhance our understanding of intervention timing.

Changes in substance use, recovery, and quality of life during the initial phase of the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic disrupted lives on a massive scale. While the pandemic appeared to worsen mental health outcomes broadly, its effects on alcohol/substance use and recovery are unclear. Many studies convolved the sociopolitical unrest beginning in May 2020 with the pandemic. We assessed pandemic-related changes in substance use, recovery involvement, and quality of life among US adults at two specified time periods that isolated pandemic effects from potentially confounding sociopolitical factors.

OBJECTIVES

We tested the following hypotheses: the pandemic and consequent policies (1) increased use of alcohol and illicit substances in active users; (2) increased use of alcohol/substances among people in early recovery; (3) reduced participation in recovery activities among those in early recovery, and that (4) use amount and use events correlated with impulsivity in both groups and that (5) substance use and abstinence correlated with resilience.

METHODS

We recruited 1,685 participants through Amazon's Mechanical Turk (MTurk). We assessed demographics, quality of life, alcohol/substance use, recovery activities, and measures of impulsivity and resilience at two time points, pre-pandemic and (early) during-pandemic. Only n = 45 (Active Users; males n = 32) and n = 34 (Recovery; males n = 20) passed data quality checks and were included in the primary analyses.

RESULTS

Among Active Users, weekly alcohol consumption and days spent using alcohol and illicit substances decreased during the pandemic. Resilience negatively correlated with pandemic-related substance use in early recovering participants. Significant reduction in the quality of life was coincident with a trend of lower recovery activity participation (31% decline) during the pandemic.

CONCLUSIONS

The reduced alcohol/substance use and participation in recovery activities might be expected from conditions that promote social isolation. The high prevalence of low-quality data from MTurk cautions for careful use of online data sourcing.

Demographic disparities in the limited awareness of alcohol use as a breast cancer risk factor: empirical findings from a cross-sectional study of U.S. women

BACKGROUND

Alcohol use is an established yet modifiable risk factor for breast cancer. However, recent research indicates that the vast majority of U.S. women are unaware that alcohol use is a risk factor for breast cancer. There is limited information about the sociodemographic characteristics and alcohol use correlates of awareness of the alcohol use and breast cancer link, and this is critically important for health promotion and intervention efforts. In this study, we assessed prevalence of the awareness of alcohol use as a risk factor for breast cancer among U.S. women and examined sociodemographic and alcohol use correlates of awareness of this link.

METHODS

We conducted a 20-minute online cross-sectional survey, called the ABLE (Alcohol and Breast Cancer Link Awareness) survey, among U.S. women aged 18 years and older (N = 5,027) in the fall of 2021. Survey questions assessed awareness that alcohol use increases breast cancer risk (yes, no, don't know/unsure); past-year alcohol use and harmful drinking via the Alcohol Use Disorders Identification Test (AUDIT); and family, health, and sociodemographic characteristics. We conducted multivariate multinomial regression analysis to identify correlates of awareness that alcohol use increases breast cancer risk.

RESULTS

Overall, 24.4% reported that alcohol use increased breast cancer risk, 40.2% reported they were unsure, and 35.4% reported that there was no link between alcohol use and breast cancer. In adjusted analysis, awareness of alcohol use as a breast cancer risk factor, compared to not being aware or unsure, was associated with being younger (18-25 years old), having a college degree, and having alcohol use disorder symptoms. Black women were less likely than white women to report awareness of the alcohol use and breast cancer link.

CONCLUSIONS

Overall, only a quarter of U.S. women were aware that alcohol use increases breast cancer risk, although 40% expressed uncertainty. Differences in awareness by age, level of education, race and ethnicity and level of alcohol use offer opportunities for tailored prevention interventions, while the overall low level of awareness calls for widespread efforts to increase awareness of the breast cancer risk from alcohol use among U.S. women.

Estimating alcohol-attributable injury deaths: A comparison of epidemiological methods

BACKGROUND AND AIMS

Injuries often involve alcohol, but determining the proportion caused by alcohol is difficult. Several approaches have been used to determine the causal role of alcohol, but these methods have not been compared directly with one another. Such a comparison would be useful for understanding the strengths and comparability of different approaches. This study compared estimates of average annual alcohol-attributable deaths in the United States from injuries during 2015-19 using a blood alcohol concentration (BAC) method compared with a population attributable fraction (PAF) approach.

METHODS

For the BAC method, we used a direct method involving the proportion of decedents with a high blood alcohol concentration (BAC; e.g. ≥ 0.10%). For the PAF approach, we compared the use of unadjusted survey data with average consumption data adjusted using alcohol sales data to account for underreporting and also accounting for the underreporting of binge drinking. Survey data were from the Behavioral Risk Factor Surveillance System and mortality data were from the National Vital Statistics System.

RESULTS

The number of alcohol-attributable injury deaths using the direct method (48 516 deaths annually) was similar to that using PAF methods (47 879 deaths annually), but only when alcohol use measures were adjusted using alcohol sales data. Furthermore, estimates were similar for cause-specific categories of deaths, including non-motor vehicle unintentional injuries and motor vehicle crashes. Among PAF methods, excessive drinking accounted for 38.3% of injury deaths using unadjusted survey data, but 64.8% of injury deaths using adjusted data.

CONCLUSIONS

Estimates of alcohol-attributable injury deaths from a direct method and from a population attributable fraction method that adjusts for alcohol use based on alcohol sales data appear to be comparable.

Moderate Ethanol-Preconditioning Offers Ischemic Tolerance Against Focal Cerebral Ischemic/Reperfusion: Role of Large Conductance Calcium-Activated Potassium Channel

The mechanism underlying moderate ethanol (EtOH)-preconditioning (PC) against ischemic brain injury remains unclear. We evaluated the role of large conductance calcium-sensitive potassium (BK_Ca) channels in EtOH-PC. Almost one hundred and ninety normal adult SD rats (8 to 10 weeks, 320-350 g) were enrolled in this study. Ischemic/reperfusion (I/R) brain injury was induced in rats by middle cerebral artery occlusion for 2 h followed by reperfusion for 24 h. EtOH or the BK_Ca channel opener, NS11021, was administered 24 h before I/R with or without pre-treatment with the BK_Ca channel blocker, paxilline. Infarct volumes were measured by tissue staining and imaging, and neurological functions were assessed by a scoring system. The expression of BK_Ca channel subunit α was detected by Western blotting, and cell apoptosis was assessed using staining. Prior (24 h) administration of ethanol that produced a peak plasma concentration of ~ 45 mg/dl in rats would offer neuroprotection after cerebral I/R. In addition, the expression of BK_Ca channel α-subunit was significantly increased 24 h after EtOH-PC (n = 10; control: 2.00 ± 0.09, EtOH: 1.00 ± 0.06; P < 0.5). Compared to I/R, EtOH-PC enhanced the expression of BK_Ca channel α-subunit both in the penumbra (n = 10; 24 h: I/R: 1.25 ± 0.10, EtOH-PC + I/R: 1.99 ± 0.12; P < 0.01; 4 h: I/R: 1.03 ± 0.03, EtOH-PC + I/R: 1.49 ± 0.05; P < 0.001) and infarct core (n = 10; 4 h: I/R: 1.04 ± 0.04, EtOH-PC + I/R: 1.42 ± 0.05; P < 0.001), improved the neurological function (n = 10; I/R: 14.00 (12.75-15.00), EtOH-PC + I/R: 7.00 (4.75-8.25); P < 0.001), attenuated the apoptosis (n = 10; I/R: 26.80 ± 0.69, EtOH-PC + I/R: 8.46 ± 0.31; P < 0.001), and decreased the infarct volume (n = 10; I/R: 244.00 ± 26.24, EtOH-PC + I/R: 70.09 ± 14.69; P < 0.001) after experimental cerebral I/R. These changes were reversed by paxilline administration. The moderate EtOH-PC protects against I/R-induced brain damage dependent on the upregulation BK_Ca channels.

Alcohol use trajectories among U.S. adults during the first 42 weeks of the COVID-19 pandemic

Background

This study characterized the prevalence, drinking patterns, and sociodemographic characteristics of U.S. adult subpopulations with distinct drinking trajectories during the COVID‐19 pandemic's first 42 weeks.

Methods

Adult respondents (n = 8130) in a nationally representative prospective longitudinal study completed 21 biweekly web surveys (March 2020 to January 2021). Past‐week alcohol drinking frequency (drinking days [range: 0 to 7]) and intensity (binge drinking on usual past‐week drinking day [yes/no]) were assessed at each timepoint. Growth mixture models identified multiple subpopulations with homogenous drinking trajectories based on mean drinking days or binge drinking proportional probabilities across time.

Results

Four drinking frequency trajectories were identified: Minimal/stable (72.8% [95% CI = 71.8 to 73.8]) with <1 mean past‐week drinking days throughout; Moderate/late decreasing (6.7% [95% CI = 6.2 to 7.3) with 3.13 mean March drinking days and reductions during summer, reaching 2.12 days by January 2021; Moderate/early increasing (12.9% [95% CI = 12.2 to 13.6) with 2.13 mean March drinking days that increased in April and then plateaued, ending with 3.20 mean days in January 2021; and Near daily/early increasing (7.6% [95% CI = 7.0 to 8.2]) with 5.58 mean March drinking days that continued increasing without returning to baseline. Four drinking intensity trajectories were identified: Minimal/stable (85.8% [95% CI = 85.0% to 86.5%]) with <0.01 binge drinking probabilities throughout; Low‐to‐moderate/fluctuating (7.4% [95% CI = 6.8% to 8%]) with varying binge probabilities across timepoints (range:0.12 to 0.26); Moderate/mid increasing (4.2% [95% CI = 3.7% to 4.6%]) with 0.39 April binge drinking probability rising to 0.65 during August–September without returning to baseline; High/early increasing trajectory (2.7% [95% CI = 2.3% to 3%]) with 0.84 binge drinking probability rising to 0.96 by June without returning to baseline. Males, Whites, middle‐aged/older adults, college degree recipients, those consistently working, and those above the poverty limit were overrepresented in various increasing (vs. minimal/stable) frequency trajectories. Males, Whites, nonmarried, those without college degree, 18 to 39‐year‐olds, and middle aged were overrepresented in increasing (vs. minimal/stable) intensity trajectories.

Conclusions

Several distinct U.S. adult sociodemographic subpopulations appear to have acquired new drinking patterns during the pandemic's first 42 weeks. Frequent alcohol use assessment in the COVID‐19 era could improve personalized medicine and population health efforts to reduce drinking.

Trends in binge drinking prevalence among older U.S. men and women, 2015 to 2019

BACKGROUND

Recent literature suggests that the gap in prevalence of binge drinking between men and women is closing, but little is known about sex-specific differences in trends and correlates of binge drinking among older Americans.

METHODS

A total of 18,794 adults, aged 65 years and older were surveyed in the 2015-2019 National Survey on Drug Use and Health. We estimated trends in prevalence of past-month binge drinking (≥5 drinks on the same occasion for men and ≥4 drinks for women), stratified by sex. Correlates of binge drinking were estimated for men and women separately, focusing on demographic characteristics, chronic diseases, past-month tobacco and cannabis use, depression, and emergency department use. Multivariable generalized linear models using Poisson and log link were used to examine associations stratified by sex.

RESULTS

Binge drinking among older men increased from 12.8% in 2015 to 15.7% in 2019 (p = 0.02) but remained stable among older women (7.6% to 7.3%, p = 0.97). In adjusted models, having a college degree was associated with higher risk of binge drinking among women (adjusted prevalence ratio [aPR] = 1.68, 95% CI: 1.13-2.50), but lower risk among men (aPR = 0.69, 95% CI: 0.56-0.85). Men who are separated or divorced were also at higher risk (aPR = 1.25, 95% CI: 1.05-1.50), but women were not. Both men and women reporting past-month use of tobacco (men aPR = 1.87, 95% CI: 1.61-2.17, women aPR = 2.11, 95% CI: 1.71-2.60) and cannabis (men aPR = 2.05, 95% CI: 1.63-2.58, women aPR = 2.77, 95% CI 2.00-3.85) were at higher risk of binge drinking.

CONCLUSIONS

Binge drinking has increased among older men whereas it has remained stable among older women in the United States. Interventions should consider that although tobacco and cannabis use is associated with an increased risk of binge drinking among both older men and women, demographic correlates tend to differ by sex.

Improving Estimates of Alcohol-Attributable Deaths in the United States: Impact of Adjusting for the Underreporting of Alcohol Consumption

OBJECTIVE

Self-reported alcohol consumption in U.S. public health surveys covers only 30%-60% of per capita alcohol sales, based on tax and shipment data. To estimate alcohol-attributable harms using alcohol-attributable fractions, accurate measures of total population consumption and the distribution of this drinking are needed. This study compared methodological approaches of adjusting self-reported survey data on alcohol consumption to better reflect sales and assessed the impact of these adjustments on the distribution of average daily consumption (ADC) levels and the number of alcohol-attributable deaths.

METHOD

Prevalence estimates of ADC levels (i.e., low, medium, and high) among U.S. adults who responded to the 2011-2015 Behavioral Risk Factor Surveillance System (BRFSS; N = 2,198,089) were estimated using six methods. BRFSS ADC estimates were adjusted using the National Alcohol Survey, per capita alcohol sales data (from the Alcohol Epidemiologic Data System), or both. Prevalence estimates for the six methods were used to estimate average annual alcohol-attributable deaths, using a population-attributable fraction approach.

RESULTS

Self-reported ADC in the BRFSS accounted for 31.3% coverage of per capita alcohol sales without adjustments, 36.1% using indexed-BRFSS data, and 44.3% with National Alcohol Survey adjustments. Per capita sales adjustments decreased low ADC prevalence estimates and increased medium and high ADC prevalence estimates. Estimated alcohol-attributable deaths ranged from approximately 91,200 per year (BRFSS unadjusted; Method 1) to 125,200 per year (100% of per capita sales adjustment; Method 6).

CONCLUSIONS

Adjusting ADC to reflect total U.S. alcohol consumption (e.g., adjusting to 73% of per capita sales) has implications for assessing the impact of excessive drinking on health outcomes, including alcohol-attributable death estimates.

Improving Estimates of Alcohol-Attributable Deaths in the United States: Impact of Adjusting for the Underreporting of Alcohol Consumption

OBJECTIVE

Self-reported alcohol consumption in U.S. public health surveys covers only 30%-60% of per capita alcohol sales, based on tax and shipment data. To estimate alcohol-attributable harms using alcohol-attributable fractions, accurate measures of total population consumption and the distribution of this drinking are needed. This study compared methodological approaches of adjusting self-reported survey data on alcohol consumption to better reflect sales and assessed the impact of these adjustments on the distribution of average daily consumption (ADC) levels and the number of alcohol-attributable deaths.

METHOD

Prevalence estimates of ADC levels (i.e., low, medium, and high) among U.S. adults who responded to the 2011-2015 Behavioral Risk Factor Surveillance System (BRFSS; N = 2,198,089) were estimated using six methods. BRFSS ADC estimates were adjusted using the National Alcohol Survey, per capita alcohol sales data (from the Alcohol Epidemiologic Data System), or both. Prevalence estimates for the six methods were used to estimate average annual alcohol-attributable deaths, using a population-attributable fraction approach.

RESULTS

Self-reported ADC in the BRFSS accounted for 31.3% coverage of per capita alcohol sales without adjustments, 36.1% using indexed-BRFSS data, and 44.3% with National Alcohol Survey adjustments. Per capita sales adjustments decreased low ADC prevalence estimates and increased medium and high ADC prevalence estimates. Estimated alcohol-attributable deaths ranged from approximately 91,200 per year (BRFSS unadjusted; Method 1) to 125,200 per year (100% of per capita sales adjustment; Method 6).

CONCLUSIONS

Adjusting ADC to reflect total U.S. alcohol consumption (e.g., adjusting to 73% of per capita sales) has implications for assessing the impact of excessive drinking on health outcomes, including alcohol-attributable death estimates.

The ALT upper reference interval debate: Blame it on the alcohol

BACKGROUND

In 2017, the American College of Gastroenterology (ACG) and the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition published clinical guidelines recommending the use of alanine aminotransferase (ALT) upper reference limits (URL) of 33, 25, 26, and 22 U/l for men, women, boys, and girls, respectively. This was opposed by laboratory experts who advocated for the use of higher URL of 59, 41, 33, and 24 U/l instead. We suspected that the variable inclusion of individuals who consumed alcohol to be a major contributing source of URL variability and debate.

METHODS

Outpatient ALT data (n = 7379) were collected from unique individuals ≥13 y with BMIs of ≥19 and ≤25. A total of 222 (3%) were excluded due to suspected liver disease. Patients were split into a pediatric group (age 13-17 y), an alcohol-restricted adult group (age 18-20 y), and adults with access to alcohol by decade (i.e., age 21-29, 30-39, 40-49, 50-59, 60-69, 70-79, and ≥ 80 y). All ALT values were measured on Roche Cobas 8000 with pyridoxal phosphate and traceable to the IFCC-reference measurement procedure.

RESULTS

We derived URL similar to CALIPER for our pediatric population, but closer to ACG-proposed URL in our alcohol-restricted adult group. The URL increased significantly in men and women for all other age groups.

CONCLUSIONS

The discrepancy in ALT URL in clinical laboratories may be attributable in part due to the variable inclusion of individuals who recently consumed alcohol in local population derivation studies.

Potassium Channels and Their Potential Roles in Substance Use Disorders

Substance use disorders (SUDs) are ubiquitous throughout the world. However, much remains to be done to develop pharmacotherapies that are very efficacious because the focus has been mostly on using dopaminergic agents or opioid agonists. Herein we discuss the potential of using potassium channel activators in SUD treatment because evidence has accumulated to support a role of these channels in the effects of rewarding drugs. Potassium channels regulate neuronal action potential via effects on threshold, burst firing, and firing frequency. They are located in brain regions identified as important for the behavioral responses to rewarding drugs. In addition, their expression profiles are influenced by administration of rewarding substances. Genetic studies have also implicated variants in genes that encode potassium channels. Importantly, administration of potassium agonists have been shown to reduce alcohol intake and to augment the behavioral effects of opioid drugs. Potassium channel expression is also increased in animals with reduced intake of methamphetamine. Together, these results support the idea of further investing in studies that focus on elucidating the role of potassium channels as targets for therapeutic interventions against SUDs.