Navigating Threats of Wildfires and Individual Rights to Adopt 100% Tobacco-Free Policy in Rural California Community Colleges.

BACKGROUND: In California, all four-year public colleges have adopted 100% smoke-/tobacco-free policies (TFP) whereas community colleges (CCs), particularly rural CCs, are less likely to have tobacco-free environments. This raises concerns about health equity, particularly because smoking prevalence is higher in rural areas compared to urban. We examined policy adoption barriers and facilitators for rural California CCs with the aim of providing lessons learned to support TFP adoption by rural CCs and improve conditions for student health and well-being. METHODS: A multiple case study of four CCs in California with (n = 2) and without (n = 2) TFPs was conducted. Semi-structured interviews with 12 campus and community stakeholders, school administrative data, and policy-relevant documents were analyzed at the case level with comparison across cases to identify key barriers, facilitators and campus-specific experiences. RESULTS: All four CCs shared similar barriers to policy adoption including concerns about wildfires, individual rights, and fear of marginalizing people who smoke on campus. These CCs have experienced serious wildfires in the last ten years, have high community smoking prevalence, and fewer school resources for student health. For the two tobacco-free CCs, long-term wildfire mitigation efforts along with leadership support, campus/community partnerships and a collective approach involving diverse campus sectors were essential facilitators in successful TFP adoption. CONCLUSION: Study results underscore contextual pressures and campus dynamics that impact tobacco control efforts at colleges in rural communities. Strategies to advance college TFP adoption and implementation should recognize rural cultural and community priorities.

"Everybody needs to find the best path for them": Insights into recovery strategies of people who have not used specialty treatment for alcohol use disorder.

BACKGROUND: Most people with alcohol use disorder (AUD) do not use treatment services, yet the majority ultimately resolve their AUD. As the phenomenon of untreated recovery remains poorly understood, we investigated the strategies used for recovery without treatment. METHODS: We conducted semi-structured interviews with 65 adults (27 women, 37 White) with resolved AUD and no history of using specialty services (e.g., inpatient or outpatient rehabilitation, medication-assisted treatment). Using both inductive and deductive coding, we identified and elaborated themes and meanings. We verified our findings through nine member-check sessions with interviewers and interview participants. RESULTS: Majorities of interview participants met criteria for severe lifetime AUD (84.6%), were in long-term recovery (>5 years; 81.5%), and indicated abstinence was their recovery goal (56.9%). Close to half (41.5%) had attended mutual-help groups (e.g., Alcoholics Anonymous). We identified five active strategies (Changing Contexts, Social Connections. Activities, Substitution, and Other Strategies) and four additional factors (Mutual-help Groups, Self-Reliance, Spirituality, and Aging/Maturing) that contributed to their recovery. Most participants employed multiple strategies and were intentional in adopting the ones that best suited them. By far, the two most common strategies were Changing Contexts (reported by 69.2% of participants) whereby people reduced their alcohol exposure by modifying social networks or physical settings and relying on Social Connections (reported by 67.7%), especially connections to people with similar lived experiences and struggles. Notably, Social Connections and Mutual-Help groups were the themes most often discussed jointly. Among other contributing factors mentioned, Spirituality appeared to play an important, but not universal, role as it was invoked by approximately half (49.2%) of participants. CONCLUSIONS: Our study confirms that recovery without specialty treatment is possible, and that multiple strategies and contributing factors help to achieve it. These findings may inform novel interventions to support recovery among people unwilling or unable to obtain treatment for AUD.

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.

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.

Can lifestyle factors explain racial and ethnic inequalities in all-cause mortality among US adults?

BACKGROUND: Racial and ethnic inequalities in all-cause mortality exist, and individual-level lifestyle factors have been proposed to contribute to these inequalities. In this study, we evaluate the extent to which the association between race and ethnicity and all-cause mortality can be explained by differences in the exposure and vulnerability to harmful effects of different lifestyle factors. METHODS: The 1997-2014 cross-sectional, annual US National Health Interview Survey (NHIS) linked to the 2015 National Death Index was used. NHIS reported on race and ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latinx), lifestyle factors (alcohol use, smoking, body mass index, physical activity), and covariates (sex, age, education, marital status, survey year). Causal mediation using an additive hazard and marginal structural approach was used. RESULTS: 465,073 adults (18-85 years) were followed 8.9 years (SD: 5.3); 49,804 deaths were observed. Relative to White adults, Black adults experienced 21.7 (men; 95%CI: 19.9, 23.5) and 11.5 (women; 95%CI: 10.1, 12.9) additional deaths per 10,000 person-years whereas Hispanic/Latinx women experienced 9.3 (95%CI: 8.1, 10.5) fewer deaths per 10,000 person-years; no statistically significant differences were identified between White and Hispanic/Latinx men. Notably, these differences in mortality were partially explained by both differential exposure and differential vulnerability to the lifestyle factors among Black women, while different effects of individual lifestyle factors canceled each other out among Black men and Hispanic/Latinx women. CONCLUSIONS: Lifestyle factors provide some explanation for racial and ethnic inequalities in all-cause mortality. Greater attention to structural, life course, healthcare, and other factors is needed to understand determinants of inequalities in mortality and to advance health equity.

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.

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.

Can lifestyle factors explain racial and ethnic inequalities in all-cause mortality among US adults?

Background: Racial and ethnic inequalities in all-cause mortality exist, and individual-level lifestyle factors have been proposed to contribute to these inequalities. In this study, we evaluate the extent to which the association between race and ethnicity and all-cause mortality can be explained by differences in the exposure and vulnerability to harmful effects of different lifestyle factors. Methods: The 1997-2014 cross-sectional, annual US National Health Interview Survey (NHIS) linked to the 2015 National Death Index was used. NHIS reported on race and ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latinx), lifestyle factors (alcohol use, smoking, body mass index, physical inactivity), and covariates (sex, age, education, marital status, survey year). Causal mediation using an additive hazard and marginal structural approach was used. Results: 465,073 adults (18-85 years) were followed 8.9 years (SD:5.3); 49,804 deaths were observed. Relative to White adults, Black adults experienced 21.7 (men; 95%CI: 19.9, 23.5) and 11.5 (women; 95%CI: 10.1, 12.9) additional deaths per 10,000 person-years whereas Hispanic/Latinx women experienced 9.3 (95%CI: 8.1, 10.5) fewer deaths per 10,000 person-years; no statistically significant differences were identified between White and Hispanic/Latinx men. Notably, these differences in mortality were partially explained by both differential exposure and differential vulnerability to these lifestyle factors among Black women, while different effects of individual lifestyle factors canceled each other out among Black men and Hispanic/Latinx women. Conclusions: Lifestyle factors provide some explanation for racial and ethnic inequalities in all-cause mortality. Greater attention to structural, life course, healthcare, and other factors is needed to understand determinants of inequalities in mortality and advance health equity.

Strategies to maintain recovery from alcohol problems during the COVID-19 pandemic: Insights from a mixed-methods national survey of adults in the United States.

The COVID-19 pandemic has been associated with poorer mental health and, in some cases, increased alcohol consumption; however, little is known about the pandemic's effects on people in recovery from alcohol use disorder (AUD), especially how they have coped with novel stressors. Our mixed-methods study investigated strategies used to maintain recovery during the pandemic, with attention to variation by gender. We analyzed data obtained in fall 2020 from an online US national survey of adults with resolved AUD (n = 1,492) recruited from KnowledgePanel, a probability-based cohort of non-institutionalized adults maintained by Ipsos for internet-based research. Participants endorsed possible coping strategies on a 19-item choose-all-that-apply list, which were analyzed using chi-square tests. In addition, 1,008 participants provided text responses to an open-ended question about their strategies to maintain recovery during the pandemic, which were coded and analyzed using an inductive, thematic approach. The majority of our sample met criteria for severe lifetime AUD (72.9%), reported being in recovery more than five years (75.5%), and had never used specialty AUD services or mutual-help groups (59.7%). The ordering of the coping strategies was quite similar for women and men; however, the top strategy (talking with family and friends by phone, text, or video) was endorsed more frequently by women than men (49.7% vs. 36.1%; p < .001). Among qualitative themes, "staying connected" was the most common. It was dominated by statements about family, with women mentioning children more often than men. Among other themes, "cognitive strategies" mirrored established therapeutic modalities, and "active pursuits" aligned with many recent recommendations for service providers working with substance-using populations during the pandemic. A minority of participants invoked "willpower" for recovery or stated that pandemic restrictions helped by reducing exposure to relapse risks. These findings shed light on recovery mechanisms during the COVID-19 pandemic and suggest potential intervention targets to support recovery during other catastrophic events, such as natural disasters.

Associations between early childhood adversity and behavioral, substance use, and academic outcomes in childhood through adolescence in a U.S. longitudinal cohort.

BACKGROUND: Childhood adversity is strongly associated with adolescent substance use, but few epidemiologic studies have investigated early childhood adversity (ECA) before age 5. This study investigated pathways by which ECA is associated with adolescent alcohol and cannabis use and high school completion through childhood behavioral and academic mediators and their reciprocal effects. METHODS: Data were from the National Longitudinal Survey of Youth 1979-Child/Young Adult Cohort which surveyed children born 1984-1999 and followed through 2016 (n = 5521). Outcomes included alcohol and cannabis use frequency at ages 15-18, and high school completion by age 19. ECA at ages 0-4 was a cumulative score of maternal heavy drinking/drug use, low emotional support, low cognitive stimulation, and household poverty. Multilevel path models were conducted with ECA, childhood mediators (behavioral (externalizing and internalizing problems) and academics (reading and math scores), accounting for demographics and confounders. RESULTS: ECA was indirectly associated with adolescent cannabis frequency through mediators of externalizing/internalizing problems, low academics, and early cannabis onset before age 14. ECA was also indirectly associated with alcohol frequency via the same mediators, but not early alcohol onset. Greater behavioral problems elevated substance use risk; whereas, low academics reduced risk. Reciprocal effects were evident between childhood behavioral problems and cannabis frequency to high school completion. CONCLUSION: Adversity from birth to age 4 is associated with childhood behavioral problems and lower academics, which increased adolescent alcohol and cannabis use and lowered high school completion. Early childhood interventions with parents and preschools/daycare may reduce early onset and adolescent substance use.

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.

Behavioral stability of alcohol consumption and socio-demographic correlates of change among a nationally representative cohort of US adults.

AIMS: To estimate the probability of transitioning between different categories of alcohol use (drinking states) among a nationally representative cohort of United States (US) adults and to identify the effects of socio-demographic characteristics on those transitions. DESIGN, SETTING AND PARTICIPANTS: Secondary analysis of data from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC), a prospective cohort study conducted in 2001-02 and 2004-05; a US nation-wide, population-based study. Participants included 34 165 adults (mean age = 45.1 years, standard deviation = 17.3; 52% women). MEASUREMENTS: Alcohol use was self-reported and categorized based on the grams consumed per day: (1) non-drinker (no drinks in past 12 months), (2) category I (women = ≤ 20; men = ≤ 40), (3) category II (women = 21-40; men = 41-60) and (4) category III (women = ≥ 41; men = ≥ 61). Multi-state Markov models estimated the probability of transitioning between drinking states, conditioned on age, sex, race/ethnicity and educational attainment. Analyses were repeated with alcohol use categorized based on the frequency of heavy episodic drinking. FINDINGS: The highest transition probabilities were observed for staying in the same state; after 1 year, the probability of remaining in the same state was 90.1% [95% confidence interval (CI) = 89.7%, 90.5%] for non-drinkers, 90.2% (95% CI = 89.9%, 90.5%) for category I, 31.8% (95% CI = 29.7, 33.9%) category II and 52.2% (95% CI = 46.0, 58.5%) for category III. Women, older adults, and non-Hispanic Other adults were less likely to transition between drinking states, including transitions to lower use. Adults with lower educational attainment were more likely to transition between drinking states; however, they were also less likely to transition out of the 'weekly HED' category. Black adults were more likely to transition into or stay in higher use categories, whereas Hispanic/Latinx adults were largely similar to White adults. CONCLUSIONS: In this study of alcohol transition probabilities, some demographic subgroups appeared more likely to transition into or persist in higher alcohol consumption states.

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.

Consumer Knowledge of Insurance Coverage of Alcohol Treatment Services in the United States: Changes Since 2015.

OBJECTIVE: Aims of this study are to examine (a) whether consumer knowledge about their health insurance coverage for alcohol-related services has changed over time and (b) whether racial, ethnic, and income disparities in known coverage have changed over time. METHOD: This was a general population study comparing the 2015 and 2020 National Alcohol Surveys (N = 12,076 combined 2015 and 2020; 7,215 women, 4,858 men). Knowledge of alcohol treatment coverage (insured with coverage, insured without coverage, insured with coverage unknown, uninsured, or insurance status unknown) was estimated and compared for the total sample ages 18-64 and compared separately by subgroups. Multinomial logistic regression was used to formally test changes in knowledge of coverage over time. Regression models were adjusted for sociodemographics, health insurance type, and current alcohol use disorder. All bivariate and multivariable analyses were survey-weighted to account for probability of selection. RESULTS: Between 2015 and 2020, the prevalence of those reporting being insured without alcohol treatment coverage decreased (-2.8%, p < .001), and the prevalence of those insured with coverage unknown increased (8.1%, p < .001). Compared with White respondents, foreign-born Hispanic respondents were more likely to report being insured without coverage, and Black or African American respondents were less likely to be insured with coverage and had a steeper decrease in knowledge of coverage status over time. CONCLUSIONS: Results suggest some persistent disparities in known alcohol treatment coverage. They also suggest a need for both greater insurance coverage of alcohol-related services and greater efforts by employers, insurers, and practitioners to inform their constituents and increase knowledge about what alcohol-related services are available to them.

Trends in mortality from alcohol, opioid, and combined alcohol and opioid poisonings by sex, educational attainment, and race and ethnicity for the United States 2000-2019.

BACKGROUND: The ongoing opioid epidemic and increases in alcohol-related mortality are key public health concerns in the USA, with well-documented inequalities in the degree to which groups with low and high education are affected. This study aimed to quantify disparities over time between educational and racial and ethnic groups in sex-specific mortality rates for opioid, alcohol, and combined alcohol and opioid poisonings in the USA. METHODS: The 2000-2019 Multiple Cause of Death Files from the National Vital Statistics System (NVSS) were used alongside population counts from the Current Population Survey 2000-2019. Alcohol, opioid, and combined alcohol and opioid poisonings were assigned using ICD-10 codes. Sex-stratified generalized least square regression models quantified differences between educational and racial and ethnic groups and changes in educational inequalities over time. RESULTS: Between 2000 and 2019, there was a 6.4-fold increase in opioid poisoning deaths, a 4.6-fold increase in combined alcohol and opioid poisoning deaths, and a 2.1-fold increase in alcohol poisoning deaths. Educational inequalities were observed for all poisoning outcomes, increasing over time for opioid-only and combined alcohol and opioid mortality. For non-Hispanic White Americans, the largest educational inequalities were observed for opioid poisonings and rates were 7.5 (men) and 7.2 (women) times higher in low compared to high education groups. Combined alcohol and opioid poisonings had larger educational inequalities for non-Hispanic Black men and women (relative to non-Hispanic White), with rates 8.9 (men) and 10.9 (women) times higher in low compared to high education groups. CONCLUSIONS: For all types of poisoning, our analysis indicates wide and increasing gaps between those with low and high education with the largest inequalities observed for opioid-involved poisonings for non-Hispanic Black and White men and women. This study highlights population sub-groups such as individuals with low education who may be at the highest risk of increasing mortality from combined alcohol and opioid poisonings. Thereby the findings are crucial for the development of targeted public health interventions to reduce poisoning mortality and the socioeconomic inequalities related to it.

Predictors of alcohol screening quality in a US general population sample and subgroups of heavy drinkers.

Alcohol screening is one of the most cost-effective clinical preventive services and important for intervening in the development of alcohol problems. We examine predictors of the quality of alcohol screening, approximated by alcohol quantity screening, which is a prerequisite for appropriate counseling, and compare conventional regression approach with Classification and Regression Trees (CART). Data come from the 2020 National Alcohol Survey, a population survey of US adults aged 18 years and over. Analyses focus on those reporting any alcohol screening at all (N = 989). The primary outcome was whether a healthcare profession had ever asked how much they drink, which is necessary to identify heavy drinking. We examined 12 potential predictors of alcohol quantity: gender, age, race and ethnicity, education, marital status, having a usual source of primary care, insurance, and health conditions. Analyses were replicated in heavy episodic drinking (HED) and high intensity drinking (HID) subgroups, both warranting alcohol counseling. Logistic regression results show that having diabetes and not having a college degree predict missed alcohol quantity screening in the sample overall, and younger age predicts missed alcohol quantity screening in the HED/HID subgroups. CART identified Black and Hispanic respondents who had not attended college at high risk of missed screening for heavy drinking in the overall sample, and those with public insurance at high risk of missed screening for heavy drinking in the HED/HID subgroups. The quality of alcohol screening needs improvement in general, and to avoid unintended disparities in alcohol-related health services.

Longitudinal assessment of drinking changes during the pandemic: The 2021 COVID-19 follow-up study to the 2019 to 2020 National Alcohol Survey.

BACKGROUND: Surveys of changes in drinking during the COVID-19 pandemic have primarily relied on retrospective self-report. Further, most such surveys have not included detailed measures of alcohol use patterns, such as beverage-specific consumption, nor measures of alcohol use disorder (AUD) symptoms that would allow a comprehensive understanding of changes in alcohol use. METHODS: Data from 1819 completed interviews from the N14C follow-up survey to the 2019 to 2020 National Alcohol Survey (N14) were conducted between January 30 and March 28, 2021. Questions on alcohol use from the Graduated Frequency series, beverage-specific quantity and frequency, and DSM-5 AUD items were asked in both surveys and used to estimate changes from pre-pandemic drinking to drinking during the pandemic. Analyses focus on changes in these measures over time and comparisons between key subgroups defined by gender, race/ethnicity, and age. RESULTS: Key findings include particularly large increases in drinking and AUD for African Americans and women, reduced drinking and heavy drinking prevalence among men and White respondents, and a concentration of increased drinking and AUD among respondents aged 35 to 49. Increases in alcohol use were found to be driven particularly by increases in drinking frequency and the consumption of spirits. CONCLUSIONS: Results confirm prior findings of overall increases and subgroup-specific changes, and importantly, provide detailed information on the patterns of change across major socio-demographic subgroups. Substantial increases in the prevalence of DSM-5 moderate to severe AUDs are a novel finding that is of particular concern.

Educational Attainment and Lifestyle Risk Factors Associated With All-Cause Mortality in the US.

IMPORTANCE: The US has experienced increasing socioeconomic inequalities and stagnating life expectancy. Past studies have not disentangled 2 mechanisms thought to underlie socioeconomic inequalities in health, differential exposure and differential vulnerability, that have different policy implications. OBJECTIVE: To evaluate the extent to which the association between socioeconomic status (SES) and all-cause mortality can be decomposed into a direct effect of SES, indirect effects through lifestyle factors (differential exposure), and joint effects of SES with lifestyle factors (differential vulnerability). DESIGN SETTING AND PARTICIPANTS: This nationwide, population-based cohort study used the cross-sectional US National Health Interview Survey linked to the National Death Index. Civilian, noninstitutionalized US adults aged 25 to 84 years were included from the 1997 to 2014 National Health Interview Survey and were followed up until December 31, 2015. Data were analyzed from May 1 to October 31, 2021. A causal mediation model using an additive hazard and marginal structural approach was used. EXPOSURES: Both SES (operationalized as educational attainment) and lifestyle risk factors (smoking, alcohol use, obesity, and physical inactivity) were assessed using self-reported questionnaires. MAIN OUTCOMES AND MEASURES: Time to all-cause mortality. RESULTS: Participants included 415 764 adults (mean [SD] age, 49.4 [15.8] years; 55% women; 64% non-Hispanic White), of whom 45% had low educational attainment and 27% had high educational attainment. Participants were followed up for a mean (SD) of 8.8 (5.2) years during which 49 096 deaths (12%) were observed. Low educational attainment (compared with high) was associated with 83.6 (men; 95% CI, 81.8-85.5) and 54.8 (women; 95% CI, 53.4-56.2) additional deaths per 10 000 person-years, of which 66% (men) and 80% (women) were explained by lifestyle factors. Inequalities in mortality were primarily a result of greater exposure and clustering of unhealthy lifestyle factors among low SES groups; with some exceptions among women, little evidence of differential vulnerability was identified. CONCLUSIONS AND RELEVANCE: In this cohort study, differential exposure to lifestyle risk factors was an important mediator of socioeconomic inequalities in mortality. Public health interventions are needed, particularly among low SES groups, to address smoking, physical inactivity, alcohol use, and the socioenvironmental contexts within which these risk factors develop.

Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults.

BACKGROUND: The clustering of Big Four contributors to morbidity and mortality-alcohol misuse, smoking, poor diet, and physical inactivity-may further elevate chronic health risk, but there is limited information about their specific combinations and associated health risks for racial/ethnic minority groups. We aimed to examine patterns of clustering in risk behaviors for White, Black, Hispanic, and Asian American adults and their associations with diabetes and hypertension. As these behaviors may be socioeconomically-patterned, we also examined associations between clustering and socioeconomic status (SES). METHODS: Latent class analyses and multinomial and logistic regressions were conducted using a nationally-representative sample of United States (US) adults ages 40-70 (N = 35,322) from Waves 2 (2004-2005) and 3 (2012-2013) of the National Epidemiologic Survey on Alcohol and Related Conditions. Obesity was used as a proxy for unhealthy diet. The outcomes were diabetes and hypertension. RESULTS: A relatively-healthy-lifestyle class was found only among White adults. Common patterns of unhealthy clustering were found across groups with some variations: the obese-inactive class among White, Black, and Hispanic adults (and the inactive class among Asian adults); the obese-inactive-smoking class among White, Black, and Hispanic adults; the smoking-risky-drinking class among White and Hispanic adults; and the smoking-risky-drinking-inactive class among Black and Asian adults. Positive associations of unhealthier clustering (having a greater number of risk behaviors) with lower SES (i.e., family income and education) and with health conditions were more consistent for Whites than for other groups. For racial minority groups, lower education than income was more consistently associated with unhealthy clusters. The associations between unhealthier clustering and diabetes and hypertension were less clear for Blacks and Asians than for Whites, with no significant association observed for Hispanics. CONCLUSION: Concerted efforts to address clustered risk behaviors in most US adults, particularly in racial/ethnic minority groups given the high prevalence of unhealthy clustering, are warranted.