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.

Alcohol Consumption Questionnaire: Scale development in a sample of Mexican American young adults and association with ADH7.

BACKGROUND: To understand why some individuals who develop alcohol use disorders (AUD) first begin to drink heavily, a number of scales have been developed that index aspects of alcohol craving and restraint from drinking. We developed a new measure called the Alcohol Consumption Questionnaire (ACQ), based in part on items modified from scales used to index binge eating because there are data to suggest that binge eating and binge drinking may share common antecedents. We present an initial validity study using data from a sample of Mexican Americans. METHODS: Data were from 699 Mexican American young adults in San Diego County, CA. A subsample (n=60) had short-term test-retest data. Factor analysis and reliability assessment guided item reduction. Item response theory (IRT) analyses quantified item severity and identified questions with differential item functioning (DIF). Logistic regression assessed associations of mean scale scores with AUD, adjusting for key demographics, alcohol expectancies and subjective response to alcohol. We also examined associations with a protective genetic variant downstream from the alcohol dehydrogenase 7 gene (ADH7). RESULTS: The scale was reduced from 20 to 14 questions, which can be summarized by a single overall score (Cronbach's alpha=0.896) or by two sub-scores (Consumption: 12 items, Cronbach's alpha=0.896; Enjoyment: 2 items, Cronbach's alpha=0.780). Test-retest reliability was very high (0.80-0.98) in this sample. The overall ACQ score and each subdomain score were strongly associated with AUD (ORs= 5.95 mild; 11.41 moderate; 48.56 severe) and family history of AUD. Respondents with the protective genetic variant had significantly lower overall ACQ scores (p<.001). CONCLUSION: The ACQ is a novel measure of alcohol consumption with strong relationships with both the AUD phenotype and ADH7 gene variants in a sample of Mexican American young adults.

Social zeitgeber and sleep loss as risk factors for suicide in American Indian adolescents.

American Indians / Alaska Natives (AI/AN) bear a high burden of suicide, the reasons for which are not completely understood, and rates can vary by tribal group and location. This article aims to identify circumstances reported by a community group of American Indian adolescent participants to be associated with their depression and/or suicide. American Indian adolescents (n = 360) were recruited from contiguous reservations and were assessed with a semi-structured diagnostic interview. Twenty percent of the adolescents reported suicidal thoughts (ideation, plans), an additional 8% reported a history of suicide attempts, and three deaths due to suicide were reported. Suicidal behaviors and major depressive disorder (MDD) co-occurred and were more common among female adolescents. The distressing events that adolescents most often reported were: death in the family, family disruption, peer relationship problems, and school problems. All of these events were significantly associated with suicidal behaviors, however those with suicidal acts were more likely to report death in the family. Those with MDD but no suicidal behaviors were more likely to report disruptions in the family. Disruptions in falling asleep were also associated with suicidal behaviors and having experienced a death in the family. Disruptions in important relationships, particularly through death or divorce, may be interpreted as a loss or disruption in "social zeitgebers" that may in turn disturb biological rhythms, such as sleep, thus potentially increase the risk for MDD and/or suicide. Prevention programs aimed at ameliorating the impact of disruptions in important relationships may potentially reduce suicidal behaviors in AI/AN adolescents.

Intersectional disparities in outpatient alcohol treatment completion by gender and race and ethnicity.

BACKGROUND: Untreated alcohol use disorder (AUD) can have negative outcomes, including premature death. Completing specialty treatment for AUD can improve economic and educational outcomes. However, there are large racial and ethnic disparities in treatment completion, and how these disparities vary intersectionally (e.g., by gender and race and ethnicity) is unknown. Recent studies suggest that not using an intersectional approach can mask important disparities. We estimated disparities in AUD nonintensive outpatient treatment completion by gender alone, race and ethnicity alone, and intersectionally in a gender-by-race-and-ethnicity model. Accurately quantifying treatment completion disparities is critical not only for understanding healthcare disparities but reducing them to advance health equity. METHODS: Data are from SAMHSA's 2017 to 2019 Treatment Episode Dataset-Discharges for adults aged 18+ who entered nonintensive outpatient treatment primarily for alcohol (n = 559,447 episodes; 30.3% women; 63.7% White, 18.0% Black, 14.4% Hispanic/Latinx, 2.1% American Indian/Alaska Native [AIAN], 1.0% Asian/Pacific Islander). Using the rank-and-replace method, treatment completion disparities were estimated by gender, race and ethnicity, and gender-by-race-and-ethnicity due to any reason other than differences in need for treatment, consistent with the Institute of Medicine's definition of a healthcare disparity. RESULTS: The intersectional gender-by-race-and-ethnicity model identified the widest range of disparities among all models tested. Using this model, the largest disparities were identified for minoritized women's treatment episodes. Compared to White men whose completion rate was 60.79% (95% confidence interval [CI]: 60.06, 60.98), Black, Hispanic/Latina, AIAN, and Asian-American/Pacific Islander women had treatment episode completion rates that were 12.35 (CI: 12.33, 12.37), 9.08 (CI: 9.06, 9.11), 10.27 (CI: 10.22, 10.32), and 4.87 (CI: 4.78, 4.95) percentage points lower, respectively. CONCLUSIONS: In the United States, treatment completion rates for non-intensive outpatient alcohol treatment episodes are significantly lower for minoritized women than White men. The extent of the disparity is not apparent in univariate models, highlighting the importance of an intersectional approach to understanding disparities in the completion of non-intensive outpatient treatment for AUD.

Genetic factors associated with suicidal behaviors and alcohol use disorders in an American Indian population.

American Indians (AI) demonstrate the highest rates of both suicidal behaviors (SB) and alcohol use disorders (AUD) among all ethnic groups in the US. Rates of suicide and AUD vary substantially between tribal groups and across different geographical regions, underscoring a need to delineate more specific risk and resilience factors. Using data from over 740 AI living within eight contiguous reservations, we assessed genetic risk factors for SB by investigating: (1) possible genetic overlap with AUD, and (2) impacts of rare and low-frequency genomic variants. Suicidal behaviors included lifetime history of suicidal thoughts and acts, including verified suicide deaths, scored using a ranking variable for the SB phenotype (range 0-4). We identified five loci significantly associated with SB and AUD, two of which are intergenic and three intronic on genes AACSP1, ANK1, and FBXO11. Nonsynonymous rare and low-frequency mutations in four genes including SERPINF1 (PEDF), ZNF30, CD34, and SLC5A9, and non-intronic rare and low-frequency mutations in genes OPRD1, HSD17B3 and one lincRNA were significantly associated with SB. One identified pathway related to hypoxia-inducible factor (HIF) regulation, whose 83 nonsynonymous rare and low-frequency variants on 10 genes were significantly linked to SB as well. Four additional genes, and two pathways related to vasopressin-regulated water metabolism and cellular hexose transport, also were strongly associated with SB. This study represents the first investigation of genetic factors for SB in an American Indian population that has high risk for suicide. Our study suggests that bivariate association analysis between comorbid disorders can increase statistical power; and rare and low-frequency variant analysis in a high-risk population enabled by whole-genome sequencing has the potential to identify novel genetic factors. Although such findings may be population specific, rare functional mutations relating to PEDF and HIF regulation align with past reports and suggest a biological mechanism for suicide risk and a potential therapeutic target for intervention.

Disparities in Alcoholics Anonymous Participation from 2000 to 2020 Among U.S. Residents With an Alcohol Use Disorder in the National Alcohol Survey.

OBJECTIVE: Mutual-help groups (MHGs) like Alcoholics Anonymous (AA) are effective for resolving alcohol use disorders (AUDs), but few studies have examined disparities in MHG participation, particularly recently. We used five waves of National Alcohol Survey data to investigate whether prevalence of AA attendance among those with a lifetime AUD differed by race/ethnicity, age, and sex, directly testing whether these associations varied with time. METHOD: Analyses pooled weighted data from 2000 to 2020, including only participants with a lifetime AUD and identifying as non-Hispanic White, Latinx/Hispanic, or non-Hispanic Black/African American (N = 8,876). Logistic regression models examined associations between lifetime AA attendance and survey year, race/ethnicity, age, and sex; models also tested for differences in demographic effects across survey year using interaction terms. RESULTS: In bivariate models, AA attendance was significantly less prevalent among participants identifying as Latinx/Hispanic (vs. White); ages 18-29 (vs. 30-64); and female (vs. male). Survey year was unrelated to AA attendance, and all interactions involving survey year were nonsignificant. In the final multivariate model (which controlled for severity and other help-seeking), disparities persisted for those identifying as Latinx/Hispanic (vs. White; adjusted odds ratio [aOR] = 0.63) and ages 18-29 (vs. 30-64; aOR = 0.35); AA attendance was also less prevalent among Black/African American (vs. White) participants (aOR = 0.59), but sex became nonsignificant. CONCLUSIONS: Results replicate and extend sparse findings regarding disparities in MHG attendance and suggest a stagnation in AA's growth and reach to underserved populations. Findings highlight the need to more effectively facilitate MHG attendance (and perhaps broader social network change) among racial/ethnic minorities and emerging adults.

Estimating Web Survey Mode and Panel Effects in a Nationwide Survey of Alcohol Use.

Random-digit dialing (RDD) telephone surveys are challenged by declining response rates and increasing costs. Many surveys that were traditionally conducted via telephone are seeking cost-effective alternatives, such as address-based sampling (ABS) with self-administered web or mail questionnaires. At a fraction of the cost of both telephone and ABS surveys, opt-in web panels are an attractive alternative. The 2019-2020 National Alcohol Survey (NAS) employed three methods: (1) an RDD telephone survey (traditional NAS method); (2) an ABS push-to-web survey; and (3) an opt-in web panel. The study reported here evaluated differences in the three data-collection methods, which we will refer to as "mode effects," on alcohol consumption and health topics. To evaluate mode effects, multivariate regression models were developed predicting these characteristics, and the presence of a mode effect on each outcome was determined by the significance of the three-level effect (RDD-telephone, ABS-web, opt-in web panel) in each model. Those results were then used to adjust for mode effects and produce a "telephone-equivalent" estimate for the ABS and panel data sources. The study found that ABS-web and RDD were similar for most estimates but exhibited differences for sensitive questions including getting drunk and experiencing depression. The opt-in web panel exhibited more differences between it and the other two survey modes. One notable example is the reporting of drinking alcohol at least 3-4 times per week, which was 21 percent for RDD-phone, 24 percent for ABS-web, and 34 percent for opt-in web panel. The regression model adjusts for mode effects, improving comparability with past surveys conducted by telephone; however, the models result in higher variance of the estimates. This method of adjusting for mode effects has broad applications to mode and sample transitions throughout the survey research industry.

Mapping COVID vulnerability in relation to drug and alcohol recovery residence availability across the United States.

Recovery housing is an important resource for those in recovery from substance use disorders. Unfortunately, we know little about its relationship to key community health risk and protective factors, potentially limiting the role it could play as a broader health resource. Leveraging county-level data on recovery residences from the National Study of Treatment and Addiction Recovery Residences (NSTARR), this study used multilevel modeling to examine Community COVID Vulnerability Index (CCVI) scores as well as availability of COVID testing and vaccination sites in relation to recovery housing. CCVI composite scores were positively associated with recovery housing availability. Analyses using CCVI thematic sub-scores found that population density and number of churches were positively associated with recovery housing availability, while epidemiological factors and healthcare system factors were negatively associated with recovery housing availability. In counties with recovery housing, there also was a positive association between CCVI and both COVID testing and vaccination availability. Recovery residences tend to be located in areas of high COVID vulnerability, reflecting effective targeting in areas with higher population density, more housing risk factors, and other high-risk environments and signaling a key point of contact to address broader health issues among those in recovery from substance use disorders.

Comorbidity of anxiety/affective, conduct/antisocial, attention deficit, and alcohol use disorders with suicidal behaviors in an American Indian community sample of adults and adolescents.

AIMS: To study the associations of anxiety/affective disorders, conduct/antisocial disorders (ASPD/CD), attention deficit disorders (ADHD), and alcohol use disorders (AUD) with suicidal behaviors in an American Indian (AI) community sample of adolescents and adults. METHODS: Participants were AI (360 adolescents, 925 adults) recruited from reservations who were assessed with the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA). RESULTS: Among AI adults (mean age = 33 years), 17% percent reported lifetime experiences of suicidal thoughts (ideation and/or plans) and 14% reported suicidal acts (including either a suicide attempt history or verified death by suicide; n = 19 deaths). Among AI adolescents (mean age = 15 years), 20% experienced suicidal thoughts and 9% experienced suicidal acts (including 3 deaths). In logistic regression analyses, suicidal thoughts were significantly associated with lifetime diagnoses of affective disorder, CD and ADHD in adolescents, and with anxiety disorder, affective disorder, and ASPD/CD in adults. Suicidal acts were associated with affective disorder, ADHD, and alcohol drinking in adolescents and with anxiety disorder, ASPD/CD and AUD in adults. The number of comorbid disorders greatly increased the risk of both suicidal thoughts and acts among both adolescents and adults. CONCLUSIONS: In addition to affective disorders, both ADHD and CD in adolescents, and ASPD in adults, demonstrated an association with suicidal thoughts. Alcohol use by adolescents and AUD among adults also were associated with suicidal attempts in this AI sample. These findings suggest need for additional research and potential integration of alcohol in screening and intervention programs focused on the prevention of suicide among AI.

Can alcohol policy prevent harms to women and children from men's alcohol consumption? An overview of existing literature and suggested ways forward.

The World Health Organization's list of cost-effective alcohol control policies is a widely-used resource that highlights strategies to address alcohol-related harms. However, there is more evidence on how recommended policies impact harms to people who drink alcohol-such as physical health problems caused by heavy alcohol use-than on secondhand harms inflicted on someone other than the person drinking alcohol, i.e., alcohol's harms to others. In this essay, we describe evidence of impacts of alcohol policy on harms to women and children resulting from men's alcohol consumption, as well as options for making policies more relevant for reducing intimate partner violence and child abuse. We begin with an overview of harms to women and children resulting from men's alcohol consumption and review cost-effective alcohol policies with potential to reduce these harms based on likely mechanisms of action. Next, we present a rapid review of reviews to describe existing evidence of impacts of these policies on the outcomes of physical violence, sexual violence, and child abuse and neglect. We found little evidence of systematic evaluation of impacts of these important alcohol policies on harms to women and children. Thus, we advocate for increased attention in evaluation research to the impacts of alcohol policies on harms experienced by women and children who are exposed to men who drink alcohol. We also argue for more consideration of a broader range of policies and interventions to reduce these specific types of harm. Finally, we present a conceptual model illustrating how alcohol policies may be supplemented with other interventions specifically tailored to reduce alcohol-related harms commonly experienced by women and children as a result of men's alcohol use.

Residence in a Medicaid-expansion state and receipt of alcohol screening and brief counseling by adults with lower incomes: Is increased access to primary care enough?

BACKGROUND: We investigate whether living in a state that expanded Medicaid eligibility is associated with receiving alcohol screening and brief counseling among nonelderly, low-income adults and a subgroup with chronic health conditions caused or exacerbated by alcohol use. METHOD: Data are from the 2017 and 2019 Behavioral Risk Factor Surveillance System (N = 15,743 low-income adults; n = 7062 with a chronic condition). We used propensity score-weighted, covariate-adjusted, modified Poisson regression to estimate associations between residence in a Medicaid-expansion state and receipt of alcohol screening and brief counseling. Models estimated associations in the overall sample and chronic conditions subsample, as well as differential associations across sex, race, and ethnicity using interaction terms. RESULTS: Living in a state that expanded Medicaid eligibility was associated with being asked whether one drank (prevalence ratio (PR) = 1.15, 95% confidence interval (CI) = 1.08, 1.22), but not with further alcohol screening, guidance about harmful drinking, or advice to reduce drinking. Among individuals with alcohol-related chronic conditions, expansion state residence was associated with being asked about drinking (PR = 1.13, 95% CI = 1.05, 1.20) and, among past 30-day drinkers with chronic conditions, being asked how much one drank (PR = 1.28, 95% CI = 1.04, 1.59) and about binge drinking (PR = 1.43, 95% CI = 1.03, 1.99). Interaction terms suggest that some associations differ by race and ethnicity. CONCLUSIONS: Living in a state that expanded Medicaid is associated with a higher prevalence of receiving some alcohol screening at a check-up in the past 2 years among low-income residents, particularly among individuals with alcohol-related chronic conditions, but not with the receipt of high-quality screening and brief counseling. Policies may have to address provider barriers to delivery of these services in addition to access to care.

Multilevel Effects of Environmental and Neighborhood Factors on Sober Living House Resident 12-Month Outcomes.

OBJECTIVE: Sober living houses (SLHs) are abstinence-based environments designed for individuals in recovery to live with others in recovery. Research shows that SLHs help some individuals maintain recovery and that certain SLH-related factors may be particularly protective. Here we assess how SLH housing and neighborhood characteristics are related to abstinence and psychiatric symptoms over time. METHOD: Baseline, 6-month, and 12-month data were collected from 557 SLH residents. Multilevel mixed models tested associations between house and neighborhood characteristics and individual-level percent days abstinent (PDA) and the number of psychiatric symptoms (measured with the Psychiatric Diagnostic Screening Questionnaire [PDSQ]) as outcomes. Final models adjusted for sex, age, and race/ethnicity; ratings of house characteristics; and objective measurements of neighborhood-level exposures. RESULTS: Both PDA and PDSQ improved significantly (ps ≤ .05) over time in both unadjusted and adjusted models. More self-help groups and fewer alcohol outlets within one mile were significantly protective for PDA, whereas walkability was significantly related to worse PDA and PDSQ (ps ≤ .05). For house-level factors, better ratings of house maintenance were related to significantly fewer psychiatric symptoms, whereas higher scores on SLH's safety measures and personal or residence identity were related to more psychiatric symptoms (ps ≤ .05). No house-level factor was significantly related to PDA. CONCLUSIONS: Neighborhood-level factors such as increased availability of self-help groups and fewer nearby alcohol outlets may increase abstinence among individuals living in SLHs. House-level factors related to better maintenance may also facilitate improved mental health.

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.

Poor self-reported sleep quality associated with suicide risk in a community sample of American Indian adults.

Study Objectives: Although American Indian/Alaska Native (AI/AN) have high suicide rates few studies have systematically investigated sleep quality and its association with suicidal behaviors in AI/AN. This study is a cross-sectional investigation of self-reported sleep quality and suicidal behaviors in an adult AI population. Methods: A semi-structured interview was used to collect data on suicidal ideation, suicidal plans, and suicidal attempts and the Pittsburgh Sleep Quality Index (PSQI) was collected to assess sleep quality in American Indian adults. Results: In this sample (n = 477), 91 (19%) of the participants endorsed suicidal ideation (thoughts and plans), and 66 (14%) reported suicidal attempts, including four who subsequently died by suicide. More women reported suicidal thoughts or acts than men. Those endorsing suicidal thoughts slept fewer hours during the night, reported more nocturnal awakenings, and showed poorer subjective sleep quality according to PSQI total scores compared to those with no suicidal thoughts or acts. Participants with suicidal acts (n = 66) reported more bad dreams and higher PSQI total scores compared to those with no suicidal thoughts or acts. When those with any suicidal thoughts or acts (n = 157, 33%) were compared to those without, they were more likely to endorse nocturnal awakenings and bad dreams and demonstrated significantly higher PSQI total scores. Conclusions: Although additional research is needed to evaluate sleep disturbances as a proximal, causal risk factor for suicidal behaviors in AI, findings highlight need for further study of sleep as a warning sign and intervention tool for suicide prevention among American Indian 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.

High Intensity Drinking (HID) Assessed by Maximum Quantity Consumed Is an Important Pattern Measure Adding Predictive Value in Higher and Lower Income Societies for Modeling Alcohol-Related Problems.

Adjusting for demographics and standard drinking measures, High Intensity Drinking (HID), indexed by the maximum quantity consumed in a single day in the past 12 months, may be valuable in predicting alcohol dependence other harms across high and low income societies. The data consisted of 17 surveys of adult (15,460 current drinkers; 71% of total surveyed) in Europe (3), the Americas (8), Africa (2), and Asia/Australia (4). Gender-disaggregated country analyses used Poison regression to investigate whether HID (8-11, 12-23, 24+ drinks) was incrementally influential, beyond log drinking volume and HED (Heavy Episodic Drinking, or 5+ days), in predicting drinking problems, adjusting for age and marital status. In adjusted models predicting AUDIT-5 for men, adding HID improved the overall model fit for 11 of 15 countries. For women, 12 of 14 countries with available data showed an improved fit with HID included. The results for the five Life-Area Harms were similar for men. Considering the results by gender, each country showing improvements in model fit by adding HID had larger values of the average difference between high intensity and usual consumption, implying variations in amounts consumed on any given day. The amount consumed/day often greatly exceeded HED levels. In many societies of varying income levels, as hypothesized, HID provided important added information on drinking patterns for predicting harms, beyond the standard volume and binging indicators.

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.

Do neighborhood characteristics of sober living houses impact recovery outcomes? A multilevel analysis of observational data from Los Angeles County.

OBJECTIVE: To identify neighborhood factors associated with recovery outcomes for sober living house (SLH) residents. METHODS: Six-month longitudinal data for new SLH residents (n = 557) was linked with census tract data, services available, alcohol outlets, and Walk Scores® (0-100 score indicating access to neighborhood resources) for 48 SLHs in 44 neighborhoods in Los Angeles County. RESULTS: Non-significant neighborhood characteristics in separate regressions for all outcomes were residents' ratings of perceived risk, percentage of residences with access to a car, percentage of homes over $500,000, percentage of renter-occupied units, percentage with income less than $25,000, percentage that were non-white, the density of substance inpatient within 10 miles, and transit scores from Walk Score®. Multilevel regressions found outpatient substance abuse treatment and density of AA groups were positively associated with more abstinent days. No neighborhood variables were associated with psychiatric symptoms. Higher perceived neighborhood cohesion, lower crime ratings, and better transportation ratings were associated with higher recovery capital. CONCLUSION: Greater neighborhood densities of substance abuse services and AA groups may help residents achieve more days abstinent. While residents may achieve better substance use outcomes even with negative perceptions of the neighborhood, positive perceptions of the neighborhoods may help them acquire more recovery capital.

Alcohol Consumption During the First Year of the COVID-19 Pandemic in the United States: Results From a Nationally Representative Longitudinal Survey.

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.