Dataset Information

Alcohol Outlet Density and Area-Level Heavy Drinking Are Independent Risk Factors for Higher Alcohol-Related Complaints.

ABSTRACT: Alcohol outlet density has well-documented associations with social and health indicators such as crime and injury. However, significantly less is known about the relationships among alcohol-related complaints. Bayesian hierarchical Poisson regression with spatial autocorrelation was used to model the association between on- and off-premises alcohol outlet density and area-level prevalence of current drinkers and heavy drinking, and graffiti density-an indicator of physical disorder-in association with calls from civilians reporting illegal use, alcohol sales, and other alcohol-related activities (hereafter alcohol-related complaints). Complaints were separated into two groups based on whether they occurred at (a) clubs/bars/restaurants or (b) elsewhere. Alcohol-related complaints and graffiti were collected from NYC Open Data. Alcohol density data are from ESRI Business Analyst and information on the prevalence of drinking from the New York City Community Health Survey. The unit of analysis consisted of ZIP codes in New York City (n?=?167), and the design was a cross-sectional analysis of aggregated data between 2009 and 2015. In multivariable models, a one-unit increase in off-premises alcohol outlet density was associated with a 47% higher risk of alcohol-related complaints at clubs, bars, and restaurants [rate ratio (RR?=?1.46, 95% CI?=?1.21, 1.77)]. Area-level prevalence of heavy drinking was associated with a 59% higher risk of alcohol-related complaints at the club, bars, and restaurants (RR?=?1.59, 95% CI?=?1.34, 1.86) and a 40% higher risk of complaints elsewhere (RR?=?1.40, 95% CI?=?1.20, 1.63). In New York City, area-level heavy drinking prevalence is a strong independent mechanism that links alcohol outlet density to alcohol-related complaints. Area-level heavy drinking should be investigated as a predictor of other public health problems such as drug overdose mortality.

SUBMITTER: Ransome Y

PROVIDER: S-EPMC6904759 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Publications

Alcohol Outlet Density and Area-Level Heavy Drinking Are Independent Risk Factors for Higher Alcohol-Related Complaints.

Ransome Yusuf Y Luan Hui H Shi Xun X Duncan Dustin T DT Subramanian S V SV

Journal of urban health : bulletin of the New York Academy of Medicine 20191201 6

Alcohol outlet density has well-documented associations with social and health indicators such as crime and injury. However, significantly less is known about the relationships among alcohol-related complaints. Bayesian hierarchical Poisson regression with spatial autocorrelation was used to model the association between on- and off-premises alcohol outlet density and area-level prevalence of current drinkers and heavy drinking, and graffiti density-an indicator of physical disorder-in associati ...[more]

PMID: 30511138

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Project description:Background and aimsExcessive alcohol consumption has a substantial impact on public health services. A key element determining alcohol availability is alcohol outlet density. This study investigated the relationship between on-trade and off-trade outlets and hospital admission rates in local neighbourhoods.DesignNational small-area level ecological study.Setting and participantsAll 32 482 lower layer super output census areas (LSOAs) in England (42 227 108 million people aged 15+ years). Densities for six outlet categories (outlets within a 1-km radius of residential postcode centroids, averaged for all postcodes within each LSOA) were calculated.MeasurementsMain outcome measures were admissions due to acute or chronic conditions wholly or partially attributable to alcohol consumption from 2002/03 to 2013/14.FindingsThere were 1 007 137 admissions wholly, and 2 153 874 admissions partially, attributable to alcohol over 12 years. After adjustment for confounding, higher densities of on-trade outlets (pubs, bars and nightclubs; restaurants licensed to sell alcohol; other on-trade outlets) and convenience stores were associated with higher admission rate ratios for acute and chronic wholly attributable conditions. For acute wholly attributable conditions, admission rate ratios were 13% (95% confidence interval = 11-15%), 9% (7-10%), 12% (10-14%) and 10% (9-12%) higher, respectively, in the highest relative to the lowest density categories by quartile. For chronic wholly attributable conditions, rate ratios were 22% (21-24%), 9% (7-11%), 19% (17-21%) and 7% (6-9%) higher, respectively. Supermarket density was associated with modestly higher acute and chronic admissions but other off-trade outlet density was associated only with higher admissions for chronic wholly attributable conditions. For partially attributable conditions, there were no strong patterns of association with outlet densities.ConclusionsIn England, higher densities of several categories of alcohol outlets appear to be associated with higher hospital admission rates for conditions wholly attributable to alcohol consumption.

Project description:BackgroundMost physiological studies interested in alcohol-dependence examined ethanol as a pharmacological agent rather than a nutrient. We conducted two studies, which assessed the metabolic and endocrine factors involved in the regulation of alcohol and nutrient intake in alcohol-dependent (AD) subjects. We also examined the potential role of a disruption in energy balance in alcohol-dependence.Methods and resultsIn Study-1, quantitative dietetic interviews of eating and drinking habits were conducted with 97 AD subjects. The population was split around a median alcohol intake value of 12.5 kcal/kg/day. The results showed that the "low alcohol" drinking AD subjects had high Body Mass Index (BMI) and Fat Mass (FM) and alcohol intake was compensated for by a decrease in non-alcoholic intakes. "High alcohol" drinking AD subjects, on the other hand, had low BMI and FM and the total caloric intakes were largely above norms. In Study-2, 24 AD inpatients were submitted to dietetic interviews, calorimetry and blood samplings for the measurement of biomarkers of the regulation of metabolism and satiety, on day 2, 5 and 16 of abstinence. These patients were compared with 20 controls matched for age and gender. We observed in AD patients an increase in cortisol, leptin and PYY plasma levels and a decrease in ghrelin, which might explain the observed decrease in non-alcoholic intakes. However, alcoholic and non-alcoholic intakes correlated positively with basal metabolism and negatively with leptin and leptin/BMI.ConclusionFor individuals consuming below 12.5 kcal/kg/day of alcohol, alcohol intake is compensated for by a decrease in non-alcoholic nutrient intakes, probably due to changes in metabolic and satiety factors. For individuals consuming above 12.5 kcal/kg/day of alcohol, alcohol accelerates metabolism and decreases fat mass and leptin levels, and the total caloric intake largely exceeds norms. A dual model for regulation of energy intake in AD subjects is proposed.

Project description:Rates of heavy alcohol use in soup kitchen attendees range from 30% to 38%, but these data are based entirely on self-reported drinking. Little is known about the intensity or frequency of drinking in this population. We assessed alcohol use transdermally every 30 min over a 3-week period among heavy drinkers who attended local soup kitchens. In addition to transdermal alcohol monitoring, participants were randomly assigned to daily breath alcohol monitoring with or without reinforcement for alcohol-negative breath samples (BrAC). Analyses assessed feasibility of transdermal monitoring and examined alcohol use based on BrAC, transdermal, and self-report data, as well as effect sizes for these metrics based on group assignment. Nineteen participants completed the 21-day monitoring period in full; three persons removed the anklet 3-16 days early due to hospitalization, impending hospitalization, or incarceration. Participants reported minimal impacts of the monitors, and severity ratings of side effects were mild. When using BrAC, transdermal, and self-report data, the percentage of non-drinking days was 93%, 58%, and 57%, and the longest duration of consecutive non-drinking days averaged 10.3, 7.2, and 5.7 days, respectively. About half of drinking days involved heavy drinking (5 + drinks). Self-report and transdermal drinking days correlated significantly, p < .001, but neither index was associated with BrAC. Group comparisons indicate small-to-moderate sized effects of reinforcement compared to no reinforcement for increasing the proportion of alcohol-negative breath samples and durations of consecutive non-drinking samples during the study when BrAC was the metric. Transdermal data and self-report data indicated a more complex pattern. Reinforcement participants drank more often but at lower quantities than monitoring (control) participants per both transdermal and self-report data. These data suggest that transdermal monitors are well tolerated and document substantial heavy drinking in this population. Soup kitchens users are in need of alcohol interventions, and soup kitchens may represent a novel opportunistic setting for intervention delivery for an important and growing health disparities population.

Dataset Information

Alcohol Outlet Density and Area-Level Heavy Drinking Are Independent Risk Factors for Higher Alcohol-Related Complaints.

Publications

Alcohol Outlet Density and Area-Level Heavy Drinking Are Independent Risk Factors for Higher Alcohol-Related Complaints.

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