Evidence map›Paper›PMID 30652839›Full record

ArticleHealth promotion and chronic disease prevention in Canada : research, policy and practice2019

Exploring and visualizing the small-area-level socioeconomic factors, alcohol availability and built environment influences of alcohol expenditure for the City of Toronto: a spatial analysis approach.

Andrew Leung, Jane Law, Martin Cooke, Scott Leatherdale

Abstract read
In one paragraph

Article in Health promotion and chronic disease prevention in Canada : research, policy and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

What it found

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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

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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. Article
  2. Space and Place in Alcohol Research.Current epidemiology reports · 2019
    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

4 authors.

Andrew LeungSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
Jane LawSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
Martin CookeSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
Scott LeatherdaleSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany Canadians continue to drink alcohol in excess of the recommended low-risk guidelines. In this study, we visualized the geographic variation of licensed premises alcohol expenditures in Toronto and examined the effects of area-level socioeconomic characteristics, alcohol availability and built environment influences on alcohol expenditures at the Dissemination Area (DA) level.

methodsDissemination Area average total household expenditures on alcohol from licensed premises, from the 2010 Survey of Household Spending, was the main outcome variable. Moran's I and Local Moran's I were used to quantify geographic variation and determine hot spots and cold spots of expenditure. We used DA-level socioeconomic characteristics from the 2006 Census of Canada, and the density of licensed premises and other built environment characteristics from the 2008 DMTI Spatial and 2010 CanMap datasets to predict alcohol expenditures in multivariate spatial regression models.

resultsThe results indicated that the most significant area-level predictors of alcohol expenditure were the percentage of individuals in management or finance occupations and the percentage with postsecondary education (one-unit increases associated with 78.6% and 35.0% increases in expenditures respectively). Presence of subway lines in the immediate and neighbouring areas was also significant (one-unit increases resulted in 5% and 28% increases respectively). Alcohol outlet density was also positively associated with alcohol expenditures.

conclusionThe associations identified between licensed premises alcohol expenditures and small-area-level characteristics highlight the potential importance of small-area-level factors in understanding alcohol use. Understanding the small-area-level characteristics of expenditures and geographic variation of alcohol expenditures may provide avenues for alcohol use reduction initiatives and policies.

Indexed as

Administrative PersonnelAlcohol DrinkingAlcoholismBuilt EnvironmentEducational StatusEnvironmentHumansOntarioResidence CharacteristicsSocioeconomic FactorsTransportationUrban Populationalcohol expenditurealcohol usedissemination areasgeographic variationGISlow-risk drinking guidelinessmall-area studiesspatial analysisspatial regressions

Identifiers

PMID30652839
PMCPMC6350844

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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.