Evidence map›Paper›PMID 35120532›Full record

ArticleSubstance abuse treatment, prevention, and policy2022

Alcohol outlets and alcohol consumption in changing environments: prevalence and changes over time.

Amy H Auchincloss, Saima Niamatullah, Maura Adams, Steven J Melly, Jingjing Li, Mariana Lazo

Abstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Alcohol Consumption Patterns: A Systematic Review of Demographic and Sociocultural Influencing Factors.International journal of environmental research and public health · 2022
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amy H AuchinclossDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA. aha27@drexel.edu.ORCID 0000-0002-5844-6721
Saima NiamatullahUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
Maura AdamsDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
Steven J MellyUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
Jingjing LiUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
Mariana LazoUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.

Funding

Characterizing health impacts of built environment features using complex dataR01HL131610 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SANCHEZ, BRISA N · 2017 to 2021
$3.6M
Complex systems approaches to identify policy levers to reduce racial/ethnic disparities in diet and obesity in citiesR01MD015107 · NIMHD · DREXEL UNIVERSITY · PI LANGELLIER, BRENT ALAN · 2021 to 2024
$2.2M
NHLBI NIH HHS R01 HL131610NIMHD NIH HHS R01 MD015107
6 · The paper itself

Abstract

backgroundTo examine whether changes in density of neighborhood alcohol outlets affected changes in alcohol consumption 1-year after regulatory changes increased alcohol availability.

methodsPerson-level data came from a population-based cohort (aged 21-64) residing in/around the Philadelphia, Pennsylvania metropolitan area (2016-2018, N = 772). Fifty-eight percent lived in a state that began implementing new regulations (Pennsylvania) and the remainder lived in states without major regulatory changes (Delaware and New Jersey). Alcohol consumption was assessed as days per week (pw), drinks pw, high consumption (≥8 drinks pw), and binge drinking. Availability of off-premise alcohol outlets was assessed using 1-mile density and distance. Regression models adjusted for age, gender, race/ethnicity, income, education, health status, state and population density.

resultsCross-sectional analyses found that higher outlet density was associated with more alcohol consumption (days, drinks, high consumption; all p < 0.03) and residing farther from an outlet was associated with less alcohol consumption (days and drinks; all p < 0.04). In longitudinal analyses, relative to no change in outlets, exposure to more outlets was associated with 64% higher odds of drinking on more days pw (p < 0.049) and 55% higher odds of consuming more drinks pw (p < 0.081). However, the longitudinal association between changes in outlets and changes in consumption did not differ for residents in Pennsylvania vs. nearby states. In cross-sectional and longitudinal analyses, outlets were not related to binge drinking.

conclusionOff-premise outlets were associated with alcohol consumption consistently in cross-sectional analysis and in some longitudinal analyses. Results can inform future studies that wish to evaluate longer-term changes in increased alcohol availability and effects on consumption.

Indexed as

Alcoholic BeveragesBinge DrinkingAlcohol DrinkingCommerceCross-Sectional StudiesHumansPrevalenceResidence CharacteristicsAlcohol consumptionAlcohol outletsEpidemiologyPublic healthPublic policy

Identifiers

PMID35120532
PMCPMC8815126

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.