Alcohol Outlets Research Articles

Nightlife activity and crime: The impact of COVID-19 related nightlife restrictions on violent crime

ObjectivesThe present study examines how varying levels of restrictions on the nightlife economy have impacted violent crime during the COVID-19 pandemic and the extent to which the crime preventive side-effects of restrictions are associated with the density of alcohol outlets. MethodsThe Data stems from geocoded locations of violent crimes combined with data on the density of on-premises alcohol outlets and the level of COVID-19 restrictions in Copenhagen, Denmark. We use a negative binomial count model with cluster robust standard error to assess the effect of the interaction between alcohol outlet density and COVID-related restriction levels on the nightlife economy on the frequency of violent crime. ResultsThe article reveals how both the level of restrictions on the nightlife economy and the density of alcohol outlets significantly impacted the frequency of violent crime. The regression analysis shows that the effect of restrictions on the nightlife economy depends on the concentration of on-premises alcohol outlets in the area. In areas with a high concentration of outlets, we observe a much higher reduction in crime as consequence of the COVID-19 related restrictions. ConclusionsThe results shows that a more restricted nightlife economy, including earlier closing times, could have a crime preventive effect, especially in areas with a high density of alcohol outlets.

Associations of Alcohol and Tobacco Retail Outlet Rates with Neighborhood Disadvantage.

Tobacco causes 29% of cancer-related deaths while alcohol causes 5.5% of cancer-related deaths. Reducing the consumption of these cancer-causing products is a special priority area for the National Cancer Institute. While many factors are linked to tobacco and alcohol use, the placement and density of retail outlets within neighborhoods may be one community-level risk factor contributing to greater use of these products. To elucidate associations between tobacco, alcohol, and tobacco and alcohol retail outlets (TRO, ARO, and TARO) and neighborhood disadvantage over a large geographic area, we employed a novel Bayesian index modeling approach to estimate a neighborhood disadvantage index (NDI) and its associations with rates of the three types of retailers across block groups in the state of North Carolina. We used a novel extension of the Bayesian index model to include a shared component for the spatial pattern common to all three types of outlets and NDI effects that varied by outlet type. The shared component identifies areas that are elevated in risk for all outlets. The results showed significant positive associations between neighborhood disadvantage and TROs (relative risk (RR) = 1.12, 95% credible interval (CI = 1.09, 1.14)) and AROs (RR = 1.15, 95% CI = 1.11, 1.17), but the association was greatest for TAROs (RR = 1.21, 95% CI = 1.18, 1.24). The most important variables in the NDI were percent renters (i.e., low home ownership), percent of homes built before 1940 (i.e., old housing stock), and percent without a high school diploma (i.e., low education).

Ridesharing and alcohol-related assaults in NYC: A spatial ecological case-crossover study

ObjectiveRidesharing has changed urban transportation and the distribution of some health outcomes, including alcohol consumption. Studies relating ridesharing to crime and violence at low space-time resolution (e.g., county-months) find mixed results. The aim of this study was to examine whether ridesharing was associated with increased incidence of alcohol-related assaults within highly resolved space-time units. MethodsThis spatial ecological case-crossover study used rideshare and taxi trip data from the New York City (NYC) Taxi and Limousine Commission for 2017–2018 and assault data from the NYC Police Department, aggregated within taxi zone-hours. Conditional logistic regression models estimated the odds of observing an assault for case taxi zone-hours in which an assault occurred compared to two control units of the same taxi zone-hour one week before (−168 h) and one week after (+168 h) relative to the number of rideshare trips. Separate analyses assessed assaults occurring at bars and restaurants. ResultsFrom 2017–2018, there were 47,124 nighttime assaults in the 262 taxi zones. There were 2482 taxi zone-hours at a bar and 693 taxi zone-hours at a restaurant that contained at least one nighttime assault. Ridesharing was positively associated with nighttime assaults at bars (OR: 1.050; 95% CI: 1.002–1.100) but not at restaurants (OR: 1.049; 95% CI: 0.943–1.168). ConclusionsAdditional ridesharing trips are associated with increased incidence of assaults at on-premise alcohol outlets in NYC at the precise hour and taxi zone of trip origins.

The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level.

Domestic violence (DV) is a serious public health issue, with 1 in 3 women and 1 in 4 men experiencing some form of partner-related violence every year. Existing research has shown a strong association between alcohol use and DV at the individual level. Accordingly, alcohol use could also be a predictor for DV at the neighborhood level, helping identify the neighborhoods where DV is more likely to happen. However, it is difficult and costly to collect data that can represent neighborhood-level alcohol use especially for a large geographic area. In this study, we propose to derive information about the alcohol outlet visits of the residents of different neighborhoods from anonymized mobile phone location data, and investigate whether the derived visits can help better predict DV at the neighborhood level. We use mobile phone data from the company SafeGraph, which is freely available to researchers and which contains information about how people visit various points-of-interest including alcohol outlets. In such data, a visit to an alcohol outlet is identified based on the GPS point location of the mobile phone and the building footprint (a polygon) of the alcohol outlet. We present our method for deriving neighborhood-level alcohol outlet visits, and experiment with four different statistical and machine learning models to investigate the role of the derived visits in enhancing DV prediction based on an empirical dataset about DV in Chicago. Our results reveal the effectiveness of the derived alcohol outlets visits in helping identify neighborhoods that are more likely to suffer from DV, and can inform policies related to DV intervention and alcohol outlet licensing.

Alcohol Use Frequencies and Associated Problems Across Drinking Contexts

To better quantify the impact of specific on- and off-premise drinking contexts on population-level alcohol-related problems, we evaluated context-specific risks relative to frequency of use of each context. We surveyed 860 adult (21-100 years) past-year drinkers in the California East Bay, sampled in areas of high versus low median household income and off-premise alcohol outlet densities. We examined associations of context-specific drinking frequencies in seven on- and off-premise drinking locations with individual and area characteristics using negative binomial regression. Next, we used heteroscedastic ordered logistic regression to relate context-specific drinking frequencies and continued volumes to five drinking-related problems (Alcohol Use Disorders Identification Test scores, physiological problems, risky sex, social problems, and driving after drinking too much). To estimate population-level effects, we assessed drinking frequencies relative to mean past-year use of each drinking context. Higher individual annual income (>$60,000) was associated with more frequent drinking in all on-premise drinking contexts (bars/clubs, restaurants, and stadiums). Heavier overall drinking was associated with drinking more frequently at bars. Drinking more frequently in respondents' own homes and heavier drinking at friends'/relatives' homes were associated with most drinking-related problems. The population-level effects of physiological problems and driving after drinking too much were highest for parties and friends'/relatives' homes, whereas that of risky sex outcomes was highest for bars. Assessing context-specific risks related to heavy and/or frequent drinking, in combination with scaling these risks to determine population-level impacts, can help tailor interventions to reduce alcohol-related problems across different on- and off-premise contexts.

Agent-Based Modeling: an Underutilized Tool in Community Violence Research.

Purpose of ReviewCommunity violence is a serious public health problem, and generational investments are being made to address it. Agent-based models (ABMs) are computational tools that can help to optimize allocation of those investments, analogous to how computer simulation models, broadly, have informed decision making in other fields, such as infectious disease control. In this review, we describe ABMs, explain their potential role in community violence research, discuss recent studies that have applied ABMs to community violence, and point to opportunities for further progress.Recent FindingsWe identified three recent studies that applied ABMs to community violence research, which points to the paucity of this line of work. Each of these works leverages a major advantage of ABMs—their ability to study the natural evolution of a process governed by the actions of autonomous agents, and how that evolution changes under counterfactual conditions, such as different intervention strategies (e.g., violence interruption), and policy changes (e.g., alcohol outlet licensing policies).SummaryABMs continue to be an underutilized tool for the study of community violence. Their increased use could add important information to help stakeholders decide between competing intervention strategies in terms of their costs and the overall resulting changes in violence rates. In addition, ABMs have value in identifying unintended changes/diffusions resulting from interventions. Regardless of the application, ABMs can only be impactful if stakeholders believe and use the information, pointing to the importance of engaging policy makers and other stakeholders in the model formulation process when possible.

Human mobility data and machine learning reveal geographic differences in alcohol sales and alcohol outlet visits across U.S. states during COVID-19.

As many U.S. states implemented stay-at-home orders beginning in March 2020, anecdotes reported a surge in alcohol sales, raising concerns about increased alcohol use and associated ills. The surveillance report from the National Institute on Alcohol Abuse and Alcoholism provides monthly U.S. alcohol sales data from a subset of states, allowing an investigation of this potential increase in alcohol use. Meanwhile, anonymized human mobility data released by companies such as SafeGraph enables an examination of the visiting behavior of people to various alcohol outlets such as bars and liquor stores. This study examines changes to alcohol sales and alcohol outlet visits during COVID-19 and their geographic differences across states. We find major increases in the sales of spirits and wine since March 2020, while the sales of beer decreased. We also find moderate increases in people's visits to liquor stores, while their visits to bars and pubs substantially decreased. Noticing a significant correlation between alcohol sales and outlet visits, we use machine learning models to examine their relationship and find evidence in some states for likely panic buying of spirits and wine. Large geographic differences exist across states, with both major increases and decreases in alcohol sales and alcohol outlet visits.

Density of alcohol-selling outlets and prices are associated with frequent binge drinking in Mexico

Despite the increase in the prevalence of binge drinking in Mexico studies focus on sociodemographic factors and little attention is paid on contextual factors. We estimated the association between density of alcohol outlets, price of alcoholic beverages, and binge drinking in Mexico among the population aged 12 to 65 years old who consumed alcohol during the last 12 months. Data come from different sources for alcohol consumption; availability of bar, nightclubs, saloons and stores that sell alcohol and prices of alcoholic beverages. We estimated generalized linear models for binary outcomes for the relationship between density of alcohol outlets and prices of alcoholic beverages with binge drinking at least once per year, at least once per month, and at least once per week controlling for sex, age, religion, household income and municipality size. Living in areas with a high density of alcohol-selling outlets was associated with a higher risk of binge drinking, at least once a year (RR 1.0, 95% CI: 1.0,1.1) at least once a month (RR 1.3, 95% CI: 1.2, 1.4) and weekly (RR 1.9, 95% CI: 1.6, 2.2). Living in States with lower alcohol prices was marginally associated to binge drinking at least once a year (RR 1.0, 95% CI: 1.0, 1.1) but more strongly associated to monthly (RR 1.2, 95% CI: 1.2, 1.4) and weekly binge drinking (RR 1.4, 95% CI: 1.3, 1.6). Along with strong fiscal policies, the implementation of spatial restrictions to the number of alcohol-selling outlets could help decrease binge drinking.

The Impact of Lockout Laws on Maxillofacial Fractures in South Australia.

Alcohol outlet density and unrestricted trading hours are strongly predictive of domestic and non-domestic assault rates, respectively. international studies report a strong male predominance for facial fractures. Harm minimization policies such as lockout laws have gained considerable attention to reduce accessibility of alcohol consumption and drinking patterns. A retrospective review was conducted from January 2012 to January 2017 at the Women and Children's Hospital and Royal Adelaide Hospital, Adelaide. All maxillofacial fractures that attended or were referred to the unit were included in this study. The primary objective was to determine the impact of facial fracture presentations, particularly assaults, for the pre- and post-lockout periods. From 2012 to 2017, there was a 5.1% decrease in assaults per year ( P = 0.002). Assaults increased by 11.7% for women and alcohol related assaults decreased by 10.2% for men ( P < 0.05). Assault and alcohol related assault rates decreased by 9.3% and 10.5%, respectively, between lockout periods ( P < 0.001). Comparative analysis between Adelaide and control (inner regional city) showed assaults decreased by 9.8% between lockout periods (51.2% versus 41.4%, P < 0.001). Multivariate analysis showed alcohol, open reduction internal fixation and men were associated with a lower risk of assault related fractures, but women and night time presentations had a higher risk ( P < 0.05). The influence of lockout laws contributed to an overall decrease in assaults and operative interventions, particularly alcohol related incidences amongst men. Ongoing longitudinal surveillance should guide current evidence for policy developers to reduce the risk of harm.

Binge drinking among adults, by select characteristics and state — United States, 2018

Binge drinking among adults, by select characteristics and state — United States, 2018

A systems framework depicting how complex neighborhood dynamics and contextual factors could impact the effectiveness of an alcohol outlet zoning policy.

An updated zoning policy eliminating all alcohol outlets (liquor stores) in residential districts was implemented to reduce high rates of violent crime in Baltimore City. Diverse stakeholders were engaged in group model building (GMB) activities to develop causal loop diagrams (CLDs) that elucidate the impact of the new zoning policy on crime, and more broadly, the potentially unintended social and environmental consequences of the policy. Three distinct groups, community advocates, city officials/academics, and community residents, participated in three separate GMB sessions. Three CLDs, one from each stakeholder group, were created to depict the possible outcomes of the zoning policy. Our findings offer insight into potential unintended consequences of removing liquor stores from residential areas that may undermine the policy. Community members described the need for additional supports related to mental health and substance use, opportunities for investment in the community, access to other goods and services, and community-police relations to ensure the policy achieved its intended goal of reducing violent crime. Our findings highlight the importance of timely engagement of local stakeholders to understand how complex neighborhood dynamics and contextual factors could impact the effectiveness of a zoning policy change.

Accessibility and availability of alcohol outlets around schools: An ecological study in the city of Madrid, Spain, according to socioeconomic area-level

Neighborhood accessibility and availability of alcohol products has been associated with increased alcohol consumption and harms among adolescents. This availability has been shown to be higher in neighborhoods with lower socio-economic status (SES). The aim of this study was to examine inequalities in alcohol outlet density and proximity around schools by area-level SES in Madrid, Spain. Data on schools, SES, alcohol outlets and population density at census tract level were obtained through public databases from the local government of Madrid. We examined (1) density as the number of alcohol outlets around schools within 3 buffers (i.e. 200 m, 400 m and 800 m) and (2) proximity as the distance from schools to their nearest alcohol outlet. We performed multilevel analyses to examine the associations between alcohol outlet density and proximity and SES, adjusted by population density. Secondary schools (n = 576) located in less deprived areas had lower densities of alcohol outlets at walking distances of 200 and 400 m (50% and 37% lower, respectively p < 0.05). No significant differences were found for the proximity measures. The socioeconomic level of the area in which adolescents go to school is a determinant of their exposure to alcohol, where those who study in high SES areas have lower exposure to alcohol outlets. This study highlights the need to prioritize equity in the design and implementation of policies to limit alcohol accessibility among adolescents, including establishing minimum distances between schools and alcohol outlets or limiting the number of outlets per inhabitant in neighborhoods.

Examining Time-Variant Spatial Dependence of Urban Places and Shootings.

Place-based interventions are increasingly implemented to address firearm violence. While research on the social determinants of health and criminological theories suggest that the built environment significantly influences health outcomes and the spatial distribution of crime, little is known about the attraction between urban places and shootings. The present study adds to the literature on firearm violence and micro-place research by exploring the spatial dependence in a Midwest metropolitan area between shootings and bus stops, vacant properties, alcohol outlets, and other locations that have been theoretically or empirically linked to firearm violence. The G-function and Cross-K function are used to characterize the univariate clustering of shootings and bivariate attraction with other locations, respectively. Bus stops, blighted vacant properties, alcohol outlets, and businesses/residential locations participating in a public-private-community initiative to reduce crime exhibited significant locational dependence with shootings at short distances. Attraction between on-premises alcohol outlets and shootings was observed only during the night. No attraction was found between schools and shootings. The findings reaffirm the importance of place-based research-especially at the micro-place level-and suggest that certain urban places may be appropriate targets for interventions that modify existing physical and/or social structures.

Living and working in proximity to alcohol outlets and problem drinking: a longitudinal study

Abstract Background Problem drinking causes burden for healthcare and society. No prior study has investigated the association between proximity of alcohol outlets to workplace and problem drinking. We assessed longitudinal associations of living and working in proximity to alcohol outlets with problem drinking. Methods Data comprised of employed respondents of the Swedish Longitudinal Occupational Survey of Health between 2012 and 2018. Road distances from home and from workplace addresses to the nearest liquor outlet, beer outlet, and bar were provided by Statistics Sweden. Self-reported problem drinking was assessed using modified Cut-Annoyed-Guilty-Eye questions. Within-individual analyses (N = 777) applied conditional logistic regression where each individual served as his/her case and control at two different time points. Between-individual analyses (N = 13306) applied binomial logistic regression with generalized estimating equation. Covariates were (age and sex for between-individual models), occupational position, civil status, chronic disease, work strain, and home/workplace neighborhood socioeconomic status. Results Within-individuals, the odds ratio for being a problem drinker was 3.42 (95 % CI, 1.41-8.27) and 2.99 (1.11-8.05) per each successive halving of the distance from work to beer outlets and bars, respectively. No within-individual associations were observed for proximity of outlets to home. Between-individuals, halving of distance from home to liquor outlet [1.06 (1.01-1.12)] and to bar [1.07 (1.00-1.16)] was associated with problem drinking. For distance from work, estimates were similar but did not reach statistical significance. Conclusions These findings suggest that alcohol outlet proximity to one's workplace could be a determinant of alcohol consumption behavior. Reducing the number of on- and off-premises alcohol outlets, even those that only sell beer, could reduce the level of harmful alcohol consumption. Key messages Alcohol outlet proximity to one’s workplace could be an additional determinant of alcohol consumption behavior. Reducing the number of on- and off-premises alcohol outlets, even those that only sell beer, could reduce the level of harmful alcohol consumption.

Alcohol policy compliance among retailers in Bhutan: a multisite community intervention study

BackgroundAlcohol use is a major public health problem in Bhutan. Compliance with regulations at the point of sale is an important strategy in alcohol control. Retail outlets were briefed on sale regulations and provided notification of rules, which they were directed to display on the premises. The extent to which licensed alcohol outlets responded to possible alcohol purchases was assessed through the use of young proxy-purchasers, adults feigning alcohol intoxication and sober adults. A total of 854 visits (pre versus post visits) were made across four district towns. Two towns (Damphu town in Tsirang district and Pema Gatshel town in Pema Gatshel district) received pre- and post-intervention purchase surveys, while the other two neighbouring towns (Khuruthang town in Punakha and Bajo town in Wangdue) were administered only baseline surveys.MethodWe used a pre- and post-test community intervention design covering all alcohol retailers both on premise (bar, hotel, restaurant, karaoke bars) and off premise (grocery shops). Compliance with alcohol regulations at the point of sale was assessed through the use of young proxy-purchasers, adults feigning alcohol intoxication and sober adults.ResultsRetailers rarely checked the age and/or identification (ID) of the proxy-purchasers before the intervention. There was a 22.7% (8.6, 37) percent increase in compliance with laws after the intervention. While some strategies are suggested, the strongest and most effective measure to prevent under-age drinking and service to intoxicated individuals is more rigorous enforcement of existing liquor laws.ConclusionAlcohol control requires ongoing government enforcements, supplemented by public awareness and knowledge.

Neighborhood environment: the impact of alcohol and tobacco outlets availability on health of people living in a certain area

Alcohol and tobacco consumption remain significant risk factors (RFs) for morbidity and mortality from noncommunicable diseases (NCDs), including cardiovascular ones, in Russia. The main risk factors contributing to NCDs in addition to traditional risk factors and lifestyle also include the neighborhood environment (NE). The term “neighborhood environment” describes the relationship between the area in immediate vicinity of a person's place of residence, environmental factors, social characteristics of the area, which can have both positive and negative effects on human health.The aim of this review was to analyze alcohol and tobacco outlets availability as a factor effecting health of people living in a certain area.It was demonstrated that a high density of alcohol outlets is associated with increased alcohol consumption among both adults and adolescents, with drunk driving and road traffic accidents, injuries, violent crimes, the risk of acute and chronic diseases. A high density of tobacco outlets is associated with an increase in smoking intensity among both adults and adolescents, as well as an increase of secondhand smoke, which increases the risk of NCDs.The consumption of alcohol and tobacco is associated with a significant increase in risk of NCDs, including cardiovascular ones, and injuries, leading to disability and death. The effectiveness of measures aimed at reducing the consumption of alcohol and tobacco may be reduced due to high density of outlets selling these products. It is necessary to conduct studies aimed at assessing the outlets density and its associations with prevalence of RFs and health status of Russian population. These data will stimulate intersectoral collaboration for planning health protection strategy at municipal level.

Neighborhood environment — formation of a health-saving human ecosystem

See “Neighborhood environment: the impact of alcohol and tobacco outlets availability on health of people living in a certain area” Antsiferova A. A., Kontsevaya A. V., Mukaneeva D. K., Drapkina O. M. in Review articles, pp. 84-91.

Classification of alcohol outlets in the area surrounding state schools

The aim of this study was to characterize the environments of Curitiba's state schools in relation to commercialization of alcoholic beverages and investigate the association with local socio-economic indicators. A cross-sectional study in commercial establishments was carried out around 30 state-owned schools. We applied a survey to characterize the locations in relation to the availability of alcoholic beverages. Differentiation between school environments regarding income was estimated by multilevel mixed-effects model. We evaluated 200 commercial establishments, 66.0% commercialized alcohol. Of them, 52 (39.4%) were off-premise alcohol outlets and 80 (60.6%) on-premise. In on-premise category, neighborhood markets (16.5%) and gas stations (10.1%) had higher presence and half of schools had this type of this establishment in their environment. These establishment had more variety of alcoholic beverages and lower prices. In school's environments located in lower income's neighborhoods, the number of neighborhood market and bars were higher. It was observed the presence of establishments that commercialized alcoholic beverages and with attendance to the public during the classes period, near the evaluated schools.

Trends in Deaths Fully Attributable to Alcohol in Minnesota, 2000-2018.

Overall trends in rates of fully alcohol-attributable mortality may mask disparities among demographic groups. We investigated overall, demographic, and geographic trends in fully alcohol-attributable mortality rates in Minnesota. We obtained mortality data from Minnesota death certificates and defined fully alcohol-attributable deaths as deaths that would not occur in the absence of alcohol. We calculated age-adjusted death rates during 2000-2018 using 5-year moving averages stratified by decedents' characteristics and geographic location. Chronic conditions accounted for most of the alcohol-attributable deaths in Minnesota (89% during 2014-2018). Alcohol-attributable mortality rates per 100 000 population increased from an average rate of 8.0 during 2000-2004 to 12.6 during 2014-2018. During 2000-2018, alcohol-attributable mortality rates were highest among males (vs females), adults aged 55-64 (vs other ages), and American Indian/Alaska Native people (vs other racial and ethnic groups) and lowest among people aged ≤24 years and Asian or Pacific Islander people. During 2014-2018, the alcohol-attributable mortality rate among American Indian/Alaska Native people was more than 5 times higher than the overall mortality rate in Minnesota. Results from this study may increase awareness of racial and ethnic disparities and continuing health inequities and inform public health prevention efforts, such as those recommended by the Community Preventive Services Task Force, including regulating alcohol outlet density and increasing alcohol taxes.

S9 Does Access to Alcohol Matter? Association of Alcohol Outlet Access With Hospitalization for Acute Pancreatitis

Introduction: Alcohol is among the leading causes of acute pancreatitis. We aimed to evaluate the association of admissions for alcoholic pancreatitis and access to alcohol based upon residence within a zip code and county. Methods: Admissions for acute alcoholic pancreatitis were reviewed from 2015 to 2021 within our hospital network. Our analysis included only Pennsylvania residents, as it is an alcoholic beverage control state in which spirits are only sold in state owned stores. Data was collected regarding demographics, including zip code and county of residence. Results: A total of 415 admissions amongst 216 patients were included from 15 counties and 107 zip codes within Pennsylvania. Liquor stores per counties included range from 1 to 74; admissions per counties included range from 1 to 219 (Table 1). Liquor stores per zip codes included range from 0 to 4; admissions per zip codes included range from 1 to 8. In a univariable linear regression model, there is a strong correlation between admissions per county and stores per county, with R^2 = 0.96. This was redemonstrated in a chi-squared analysis with P < 0.05. The liquor stores per zip code did not have a strong correlation to admissions per zip code in a linear regression model. Conclusion: Our data suggests a significant relationship between the number of liquor stores within a county and patients admitted for acute alcoholic pancreatitis from that county. We suspect that increased access to alcohol may influence the rates of admission. It may be prudent for counties with more liquor stores to also have more resources for patients with alcohol use disorders, as these may prevent hospitalizations, and ultimately complications of acute alcoholic pancreatitis.Table 1.: Number of admissions per county for alcohol induced acute pancreatitis within our healthcare network in relation to number of liquor stores within those counties