Metropolitan-area estimates of binge drinking in the United States

A Comparative Study of Acute Alcoholic Hepatitis vs. Non-Alcoholic Hepatitis Patients from a Cohort with Chronic Alcohol Dependence

The rate of alcoholic hepatitis (AH) has risen in recent years. AH can cause as much as 40-50% mortality in severe cases. Successful abstinence has been the only therapy associated with long-term survival in patients with AH. Thus, it is crucial to be able to identify at-risk individuals in order to implement preventative measures. From the patient database, adult patients (age 18 and above) with AH were identified using the ICD-10 classification from November 2017 to October 2019. Liver biopsies are not routinely performed at our institution. Therefore, patients were diagnosed with AH based on clinical parameters and were divided into "probable" and "possible" AH. Logistic regression analysis was performed to determine risk factors associated with AH. A sub-analysis was performed to determine variables associated with mortality in AH patients. Among the 192 patients with alcohol dependence, there were 100 patients with AH and 92 patients without AH. The mean age was 49.3 years in the AH cohort, compared to 54.5 years in the non-AH cohort. Binge drinking (OR 2.698; 95% CI 1.079, 6.745; p = 0.03), heavy drinking (OR 3.169; 95% CI 1.348, 7.452; p = 0.01), and the presence of cirrhosis (OR 3.392; 95% CI 1.306, 8.811; p = 0.01) were identified as characteristics more commonly found in the AH cohort. Further, a higher inpatient mortality was seen in those with a probable AH diagnosis (OR 6.79; 95% CI 1.38, 44.9; p = 0.03) and hypertension (OR 6.51; 95% CI 9.49, 35.7; p = 0.02). A higher incidence of mortality was also noted among the non-Caucasian race (OR 2.72; 95% CI 4.92; 22.3; p = 0.29). A higher mortality rate despite a lower incidence of alcohol use among non-Caucasian patients may indicate healthcare disparities.

State-Level Alcohol Environments and Sexual Identity Disparities in Binge Drinking in the Behavioral Risk Factor Surveillance System

Purpose: Binge drinking disparities by sexual identity are well documented. Stronger alcohol policy environments reduce binge drinking in the general population. We examined whether state-level alcohol policy environments have the same association with binge drinking among lesbian, gay, and bisexual (LGB) adults as among heterosexual adults. Methods: Binge drinking, sexual identity, and demographic characteristics were extracted from the 2015 to 2018 Behavioral Risk Factor Surveillance System. The strength of the alcohol policy environment was measured by using the Alcohol Policy Scale (APS) score. We estimated the association between APS score and binge drinking by using logistic regression and included an interaction term between APS score and sexual identity. Results: The interaction between APS score and sexual identity was not significant, and findings differed between women and men. Among women, a higher APS score was associated with lower odds of binge drinking (adjusted odds ratio [aOR]: 0.96, 95% confidence interval [CI]: 0.94-0.99). Differences in binge drinking by sexual identity remained after adjusting for individual and state-level factors (e.g., the percentage of LGB adults in the state). Compared with heterosexual women, the odds of binge drinking were 43% higher (aOR: 1.43, 95% CI: 1.17-1.75) among lesbian women and 58% higher (aOR: 1.58, 95% CI: 1.40-1.79) among bisexual women. A higher APS score was not associated with binge drinking among men. Conclusion: Stronger state-level alcohol policy environments were associated with lower binge drinking among women. Lesbian and bisexual women were still more likely to engage in binge drinking compared with heterosexual women even in states with stronger alcohol policy environments.

Gender-specific determinants of asthma among U.S. adults

BACKGROUND

Asthma, a chronic respiratory disease affecting over 18.7 million American adults, has marked disparities by gender, race/ethnicity and socioeconomic status. Our goal was to identify gender-specific demographic and socioeconomic determinants of asthma prevalence among U.S. adults using data from the Behavioral Risk Factors Surveillance System (BRFSS) and the National Health and Nutrition Examination Survey (NHANES).

METHODS

Gender-specific regression analyses were performed to model the relationship between asthma prevalence with age, race/ethnicity, income, education level, smoking status, and body mass index (BMI), while taking into account the study designs.

RESULTS

Based on BRFSS data from 1,003,894 respondents, weighted asthma prevalence was 6.2% in males and 10.6% in females. Asthma prevalence among grade 2 obese and grade 3 obese vs. not overweight or obese women was 2.5 and 3.5 times higher, respectively, while that in men was 1.7 and 2.4 times higher; asthma prevalence among current vs. never smoker women was 1.4 times higher, while that in men was 1.1 times higher. Similar results were obtained with NHANES data from 13,364 respondents: asthma prevalence among grade 2 obese and grade 3 obese vs. not overweight or obese respondents was 2.0 and 3.3 times higher for women, though there was no significant difference for men; asthma prevalence among current vs. never smokers was 1.8 times higher for women and not significantly different in men. Asthma prevalence by race/ethnicity and income levels did not differ considerably between men and women.

CONCLUSIONS

Our results underscore the importance of obesity and smoking as modifiable asthma risk factors that most strongly affect women.

Associations between Responsible Beverage Service Laws and Binge Drinking and Alcohol-Impaired Driving

We explored potential associations between the strength of state Responsible Beverage Service (RBS) laws and self-reported binge drinking and alcohol-impaired driving in the U.S. A multilevel logistic mixed-effects model was used, adjusting for potential confounders. Analyses were conducted on the overall BRFSS sample and drinkers only. Seven percent of BRFSS respondents lived in states with the strongest RBS laws, 15% reported binge drinking and 2% reported driving after having too much to drink at least once in the past 30 days. There was no evidence of a significant association between RBS law strength and self-reported binge drinking or alcohol-impaired driving. Future studies should include additional information about RBS laws and use a prospective research design.

Drinking Patterns in US Counties From 2002 to 2012

OBJECTIVES

We estimated the prevalence of any drinking and binge drinking from 2002 to 2012 and heavy drinking from 2005 to 2012 in every US county.

METHODS

We applied small area models to Behavioral Risk Factor Surveillance System data. These models incorporated spatial and temporal smoothing and explicitly accounted for methodological changes to the Behavioral Risk Factor Surveillance System during this period.

RESULTS

We found large differences between counties in all measures of alcohol use: in 2012, any drinking prevalence ranged from 11.0% to 78.7%, heavy drinking prevalence ranged from 2.4% to 22.4%, and binge drinking prevalence ranged from 5.9% to 36.0%. Moreover, there was wide variation in the proportion of all drinkers who engaged in heavy or binge drinking. Heavy and binge drinking prevalence increased in most counties between 2005 and 2012, but the magnitude of change varied considerably.

CONCLUSIONS

There are large differences within the United States in levels and recent trends in alcohol use. These estimates should be used as an aid in designing and implementing targeted interventions and to monitor progress toward reducing the burden of excessive alcohol use.

Risk drinking and contraception effectiveness among college women

Risk drinking, especially binge drinking, and unprotected sex may co-occur in college women and increase the risks of STI exposure and pregnancy, but the relationships among these behaviors are incompletely understood. A survey was administered to 2012 women of ages 18-24 enrolled in a public urban university. One-quarter of the college women (23%) drank eight or more drinks per week on average, and 63% binged in the past 90 days, with 64% meeting criteria for risk drinking. Nearly all sexually active women used some form of contraception (94%), but 18% used their method ineffectively and were potentially at risk for pregnancy. Forty-four percent were potentially at risk for STIs due to ineffective or absent condom usage. Ineffective contraception odds were increased by the use of barrier methods of contraception, reliance on a partner's decision to use contraception, and risk drinking, but were decreased by the use of barrier with hormonal contraception, being White, and later age to initiate contraception. In contrast, ineffective condom use was increased by reliance on a partner's decision to use condoms, the use of condoms for STI prevention only, and by risk drinking. Thirteen percent of university women were risk drinkers and using ineffective contraception, and 31% were risk drinkers and failing to use condoms consistently. Risk drinking is related to ineffective contraception and condom use. Colleges should promote effective contraception and condom use for STI prevention and consider coordinating their programs to reduce drinking with programs for reproductive health. Emphasizing the use of condoms for both pregnancy prevention and STI prevention may maximize women's interest in using them.

Racial/Ethnic Variations in Colorectal Cancer Screening Self-Efficacy, Fatalism and Risk Perception in a Safety-Net Clinic Population: Implications for Tailored Interventions

Ethnic and racial minority groups in the U.S. receive fewer colorectal cancer (CRC) screening tests and are less likely to be up-to-date with CRC screening than the population as a whole. Access, limited awareness of CRC and barriers may, in part, be responsible for inhibiting widespread adoption of CRC screening among racial and ethnic minority groups. The purpose of this study was to examine the role of self-efficacy, fatalism and CRC risk perception across racial and ethnic groups in a diverse sample. This study was a cross-sectional analysis from baseline measures gathered on a group of patients recruited into a trial to track colorectal cancer screening in underserved adults over 50. Out of 470 Participants, 42% were non-Hispanic; 27% Hispanic and 28% non-Hispanic White. Hispanic and non-Hispanic Blacks were more likely to have fatalistic beliefs about CRC than non-Hispanic Whites. Non-Hispanic Blacks perceived higher risk of getting colon cancer. Self-efficacy for completing CRC screening was higher among Non-Hispanic Blacks than among Hispanics. Racial and ethnic differences in risk perceptions, fatalism and self-efficacy should be taken into consideration in future CRC interventions with marginalized and uninsured populations.

Neighborhood education inequality and drinking behavior

BACKGROUND

The neighborhood distribution of education (education inequality) may influence substance use among neighborhood residents.

METHODS

Using data from the New York Social Environment Study (conducted in 2005; n=4000), we examined the associations of neighborhood education inequality (measured using Gini coefficients of education) with alcohol use prevalence and levels of alcohol consumption among alcohol users. Analyses were adjusted for neighborhood education level, income level and income inequality, as well as for individual demographic and socioeconomic characteristics and history of drinking prior to residence in the current neighborhood. Neighborhood social norms about drinking were examined as a possible mediator.

RESULTS

In adjusted generalized estimating equation regression models, one-standard-deviation-higher education inequality was associated with 1.18 times higher odds of alcohol use (logistic regression odds ratio=1.18, 95% confidence interval 1.08-1.30) but 0.79 times lower average daily alcohol consumption among alcohol users (Poisson regression relative rate=0.79, 95% confidence interval 0.68-0.92). The results tended to differ in magnitude depending on respondents' individual educational levels. There was no evidence that these associations were mediated by social drinking norms, although norms did vary with education inequality.

CONCLUSIONS

Our results provide further evidence of a relation between education inequality and drinking behavior while illustrating the importance of considering different drinking outcomes and heterogeneity between neighborhood subgroups. Future research could fruitfully consider other potential mechanisms, such as alcohol availability or the role of stress; research that considers multiple mechanisms and their combined effects may be most informative.

Providing competency-based family medicine residency training in substance abuse in the new millennium: a model curriculum

BACKGROUND

This article, developed for the Betty Ford Institute Consensus Conference on Graduate Medical Education (December, 2008), presents a model curriculum for Family Medicine residency training in substance abuse.

METHODS

The authors reviewed reports of past Family Medicine curriculum development efforts, previously-identified barriers to education in high risk substance use, approaches to overcoming these barriers, and current training guidelines of the Accreditation Council for Graduate Medical Education (ACGME) and their Family Medicine Residency Review Committee. A proposed eight-module curriculum was developed, based on substance abuse competencies defined by Project MAINSTREAM and linked to core competencies defined by the ACGME. The curriculum provides basic training in high risk substance use to all residents, while also addressing current training challenges presented by U.S. work hour regulations, increasing international diversity of Family Medicine resident trainees, and emerging new primary care practice models.

RESULTS

This paper offers a core curriculum, focused on screening, brief intervention and referral to treatment, which can be adapted by residency programs to meet their individual needs. The curriculum encourages direct observation of residents to ensure that core skills are learned and trains residents with several "new skills" that will expand the basket of substance abuse services they will be equipped to provide as they enter practice.

CONCLUSIONS

Broad-based implementation of a comprehensive Family Medicine residency curriculum should increase the ability of family physicians to provide basic substance abuse services in a primary care context. Such efforts should be coupled with faculty development initiatives which ensure that sufficient trained faculty are available to teach these concepts and with efforts by major Family Medicine organizations to implement and enforce residency requirements for substance abuse training.

Adult outcomes of binge drinking in adolescence: findings from a UK national birth cohort

AIMS

The aim of the study was to determine outcomes in adult life of binge drinking in adolescence in a national birth cohort.

DESIGN AND SETTING

Longitudinal birth cohort: 1970 British Birth Cohort Study surveys at 16 years (1986) and 30 years (2000).

PARTICIPANTS

A total of 11 622 subjects participated at age 16 years and 11 261 subjects participated at age 30 years.

MEASUREMENTS

At the age of 16 years, data on binge drinking (defined as two or more episodes of drinking four or more drinks in a row in the previous 2 weeks) and frequency of habitual drinking in the previous year were collected. Thirty-year outcomes recorded were alcohol dependence/abuse (CAGE questionnaire), regular weekly alcohol consumption (number of units), illicit drug use, psychological morbidity (Malaise Inventory) and educational, vocational and social history.

FINDINGS

17.7% of participants reported binge drinking in the previous 2 weeks at the age of 16 years. Adolescent binge drinking predicted an increased risk of adult alcohol dependence (OR 1.6, 95% CI 1.3 to 2.0), excessive regular consumption (OR 1.7, 95% CI 1.4 to 2.1), illicit drug use (OR 1.4, 95% CI 1.1 to 1.8), psychiatric morbidity (OR 1.4, 95% CI 1.1 to 1.9), homelessness (OR 1.6, 95% CI 1.1 to 2.4), convictions (1.9, 95% CI 1.4 to 2.5), school exclusion (OR 3.9, 95% CI 1.9 to 8.2), lack of qualifications (OR 1.3, 95% CI 1.1 to 1.6), accidents (OR 1.4, 95% CI 1.1 to 1.6) and lower adult social class, after adjustment for adolescent socioeconomic status and adolescent baseline status of the outcome under study. These findings were largely unchanged in models including both adolescent binge drinking and habitual frequent drinking as main effects.

CONCLUSIONS

Adolescent binge drinking is a risk behaviour associated with significant later adversity and social exclusion. These associations appear to be distinct from those associated with habitual frequent alcohol use. Binge drinking may contribute to the development of health and social inequalities during the transition from adolescence to adulthood.

Patterns of alcohol consumption and alcohol-impaired driving in the United States

BACKGROUND

Alcohol-related motor vehicle crashes kill approximately 17,000 Americans annually and were associated with more than $51 billion in total costs in 2000. Relatively little is known about the drinking patterns of alcohol-impaired (AI) drivers in the United States.

METHODS

2006 Behavioral Risk Factor Surveillance System (BRFSS) was analyzed for alcohol consumption and self-reported AI driving among U.S. adults aged > or =18 years for all states. Alcohol consumption was divided into 4 categories: binge/heavy, binge/nonheavy, nonbinge/heavy, and nonbinge/nonheavy. Binge drinking was defined as > or =5 drinks for men or > or =4 drinks for women on one or more occasions in the past month, and heavy drinking was defined as average daily consumption of >2 drinks/day (men) or >1 drink/day (women). The prevalence of AI driving was examined by drinking pattern and by demographic characteristics. Logistic regression analysis was used to assess the association between drinking patterns and AI driving.

RESULTS

Five percent of drinkers were engaged in AI driving during the past 30 days. Overall, 84% of AI drivers were binge drinkers and 88% of AI driving episodes involved binge drinkers. By drinking category, binge/nonheavy drinkers accounted for the largest percentage of AI drivers (49.4%), while binge/heavy drinkers accounted for the most episodes of AI driving (51.3%). The adjusted odds of AI driving were 20.1 (95% CI: 16.7, 24.3) for binge/heavy, 8.2 (6.9, 9.7) for binge/nonheavy, and 3.9 (2.4, 6.3) for nonbinge/heavy drinkers, respectively.

CONCLUSIONS

There is a strong association between binge drinking and AI driving. Most AI drivers and almost half of all AI driving episodes involve persons who are not heavy drinkers (based on average daily consumption). Implementing effective interventions to prevent binge drinking could substantially reduce AI driving.

Trends in socioeconomic inequalities in adult health behaviors among U.S. states, 1990-2004

OBJECTIVE

The purpose of this study was to measure state trends in educational inequalities in smoking, binge alcohol use, physical inactivity, obesity, and seatbelt use.

METHODS

The authors calculated the Relative Concentration Index of educational inequality for five health behaviors on adults from all 50 states and the District of Columbia using data from 1990 to 2004 in the Behavioral Risk Factor Surveillance System (n=2,118,562). Linear regression was used to measure changes and trends in the Relative Concentration Index of health inequality across education groups in each state.

RESULTS

Except for binge alcohol use, poorer health behaviors were concentrated among the less educated. The largest educational inequalities were for physical inactivity. From 1990 to 2004, significant increases in relative educational inequalities occurred in 40 states for smoking and 31 states for physical inactivity. For binge alcohol use, 27 states showed significant declining inequality trends, but educational inequalities reversed direction and binge alcohol use is now more prevalent among the less educated in 19 states. Significant decreases in educational inequalities occurred in 36 states for obesity and 24 states for seat belt use. Changes in educational inequalities across the different health behaviors were not associated, except for a modest correlation between changes in inequality in smoking and binge alcohol use (r=0.40; p=0.004). Similarly, there was little association between changes in the population prevalence of health behaviors and changes in educational inequality in health behaviors, with substantial heterogeneity among states.

CONCLUSIONS

State trends in relative educational inequality among health behaviors were mixed, increasing for smoking and physical inactivity and decreasing for obesity and seat belt use. The factors influencing relative inequality trends may differ from those affecting overall prevalence trends.

Health care access among U.S. adults who drink alcohol excessively: missed opportunities for prevention

INTRODUCTION

Excessive alcohol consumption kills approximately 75,000 people annually in the United States. Although alcohol screening among primary care patients is recommended by the U.S. Preventive Services Task Force, it is rarely performed. It is unclear whether low screening rates are due to limited access to health care, missed screening opportunities during patient visits, or both.

METHODS

Data came from the 2002 Behavioral Risk Factor Surveillance System, a population-based telephone survey of noninstitutionalized U.S. adults. Current health insurance status and a history of a recent medical checkup (within 2 years) were assessed in relation to alcohol consumption status. Excessive drinkers included those who reported binge drinking (consuming five or more drinks on one or more occasions in the past month), heavy drinking (consuming more than 60 drinks in the past month for men or more than 30 for women), or both.

RESULTS

The prevalence of excessive drinking among the general population (17%) was only slightly higher than the prevalence among those with current health insurance (15%) or a recent checkup (14%). Among excessive drinkers, 79% had current health insurance and 78% had a recent checkup. Although excessive drinkers were somewhat less likely to have health insurance or a recent checkup compared with nonexcessive drinkers and nondrinkers, these differences were less pronounced after stratifying by age. Excessive drinkers with the lowest rates of health insurance were young, Hispanic, less educated, and unemployed. However, most excessive drinkers who lacked insurance or a checkup were employed.

CONCLUSION

Most excessive drinkers were insured and had a recent medical checkup, suggesting that low screening rates among excessive drinkers are mostly due to missed screening opportunities rather than a lack of screening opportunities. Systems approaches to address these missed opportunities should be aggressively implemented.

Poor health is associated with episodic heavy alcohol use: evidence from a National Survey

OBJECTIVES

The objective of this study was to examine the relationship between self-rated health and episodic heavy drinking in a representative sample of American adults. We also sought to determine ethnic and gender differences in the association between self-rated health and episodic heavy drinking.

METHODS

Data (n=4649) from the Third US National Health and Nutrition Examination Survey were utilized for this investigation. Episodic heavy drinking was defined as the consumption of five or more and four or more alcoholic beverages on one occasion for men and women, respectively. Poor health was defined as answering fair or poor to the question: "Would you say your health in general is excellent, very good, good, fair or poor?" Odds ratio from the logistic linear regression analysis was used to estimate the risk for poor health that was associated with episodic heavy drinking. Statistical adjustments were made for age, hypertension, diabetes, current smoking, body mass index and race/ethnicity.

RESULTS

Overall, episodic heavy drinking was associated with increased odds of poor self-rated health in men and women. In men, episodic heavy drinking was independently associated with 1.28 (95% CI: 1.07-1.82) increased odds of poor health. The corresponding value in women was 1.86 (95% CI: 1.05-2.28). In men, being Black was associated with approximately two-fold (OR=1.96; 95% CI: 1.33, 2.89), and being Hispanic was associated with approximately four-fold (OR=3.59; 95% CI: 2.50, 5.14) increased odds of poor self-rated health relative to being White. The corresponding odds ratios in women were 2.97 (95% CI: 1.90, 4.64) and 5.18 (95% CI: 3.23, 8.30). Associations were greater among blacks (adjusted OR=2.41; 95% CI: 1.81-3.22) and Hispanics (adjusted OR=4.15; 95% CI: 3.12-5.52) than among whites.

CONCLUSIONS

Poor health is associated with episodic heavy alcohol consumption. Public health strategies to curb alcohol abuse may improve self-reported health status in these at-risk populations.

Sorting out the connections between the built environment and health: a conceptual framework for navigating pathways and planning healthy cities

The overarching goal of this article is to make explicit the multiple pathways through which the built environment may potentially affect health and well-being. The loss of close collaboration between urban planning and public health professionals that characterized the post-World War II era has limited the design and implementation of effective interventions and policies that might translate into improved health for urban populations. First, we present a conceptual model that developed out of previous research called Social Determinants of Health and Environmental Health Promotion. Second, we review empirical research from both the urban planning and public health literature regarding the health effects of housing and housing interventions. And third, we wrestle with key challenges in conducting sound scientific research on connections between the built environment and health, namely: (1) the necessity of dealing with the possible health consequences of myriad public and private sector activities; (2) the lack of valid and reliable indicators of the built environment to monitor the health effects of urban planning and policy decisions, especially with regard to land use mix; and (3) the growth of the "megalopolis" or "super urban region" that requires analysis of health effects across state lines and in circumscribed areas within multiple states. We contend that to plan for healthy cities, we need to reinvigorate the historic link between urban planning and public health, and thereby conduct informed science to better guide effective public policy.