Evidence map›Paper›PMID 37351726›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2023

How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods.

Irene Martín-Turrero, Xisca Sureda, Francisco Escobar, Usama Bilal, Maitane Berasaluce, Roberto Valiente

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Irene Martín-TurreroPublic Health and Epidemiology Research Group, School of Medicine, University of Alcalá, Campus Universitario - Crta. de Madrid-Barcelona, Km. 33,600. Alcalá de Henares, 28871, Madrid, Spain.
Xisca SuredaPublic Health and Epidemiology Research Group, School of Medicine, University of Alcalá, Campus Universitario - Crta. de Madrid-Barcelona, Km. 33,600. Alcalá de Henares, 28871, Madrid, Spain. francisca.sureda@uah.es.
Francisco EscobarDepartment of Geology, Geography and Environmental Sciences, University of Alcalá, Alcalá de Henares, Madrid, Spain.
Usama BilalUrban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, 19104, USA.
Maitane BerasalucePublic Health and Epidemiology Research Group, School of Medicine, University of Alcalá, Campus Universitario - Crta. de Madrid-Barcelona, Km. 33,600. Alcalá de Henares, 28871, Madrid, Spain.
Roberto ValientePublic Health and Epidemiology Research Group, School of Medicine, University of Alcalá, Campus Universitario - Crta. de Madrid-Barcelona, Km. 33,600. Alcalá de Henares, 28871, Madrid, Spain.

Funding

The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
NIH HHS DP5 OD026429
6 · The paper itself

Abstract

Measuring the density of alcohol outlets around schools is a critical step towards understanding the drivers of drinking among adolescents. Different methodologies have been used in the literature for this purpose, but the implications of using one methodology or another have not been clearly assessed. Our aim was to compare different methods to measure alcohol outlet density and highlight under which characteristics of the environment might be best using each approach. We used Geographic Information Systems to geolocate schools (n = 576) and alcohol outlets (n = 21,732) in Madrid. We defined the density of alcohol outlets as the number of establishments within an area of 400 m around schools measured using two buffering methods: crow flies' and street network distances. We evaluated the agreement between both methods visually and through regression models, including street connectivity, population density, and density of recreational venues as predictors of disagreement. The density of alcohol outlets around schools was higher using crow flies' distances compared to street network distances. The differences between methodologies were wider in areas of higher density of outlets, especially in the downtown areas, where there are higher population density and street connectivity. Our results suggest that the spatial characteristics and morphology of the study area (e.g., street connectivity and population density) should be considered when deciding the methodology to be used to measure alcohol outlet density. Future studies should explore the implications of different exposure measures in their association with drinking prevalence and consumption patterns among different geographical contexts.

Indexed as

Alcoholic BeveragesCommerceAlcohol DrinkingGeographic Information SystemsHumansResidence CharacteristicsSchoolsAlcohol accessibilityBland-Altman analysisBuffersGISSchools

Identifiers

PMID37351726
PMCPMC10323074

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.