Evidence map›Paper›PMID 26714645›Full record

ArticleInternational journal of health geographics2015

Identifying food deserts and swamps based on relative healthy food access: a spatio-temporal Bayesian approach.

Hui Luan, Jane Law, Matthew Quick

Abstract read
In one paragraph

Article in International journal of health geographics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Food environment research in Canada: a rapid review of methodologies and measures deployed between 2010 and 2021.The international journal of behavioral nutrition and physical activity · 2024
    Pooled it
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  9. What's On the Menu? Towards Predicting Nutritional Quality of Food Environments.medRxiv : the preprint server for health sciences · 2023
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  11. The Changing Landscape of Food Deserts and Swamps over More than a Decade in Flanders, Belgium.International journal of environmental research and public health · 2022
    Article
  12. Premiums for Residing in Unfavorable Food Environments: Are People Rational?International journal of environmental research and public health · 2022
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  13. Review
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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

3 authors.

Hui LuanFaculty of Environment, School of Planning, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada. h3luan@uwaterloo.ca.
Jane LawFaculty of Environment, School of Planning, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada. j9law@uwaterloo.ca.
Matthew QuickFaculty of Environment, School of Planning, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada. mquick@uwaterloo.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity and other adverse health outcomes are influenced by individual- and neighbourhood-scale risk factors, including the food environment. At the small-area scale, past research has analysed spatial patterns of food environments for one time period, overlooking how food environments change over time. Further, past research has infrequently analysed relative healthy food access (RHFA), a measure that is more representative of food purchasing and consumption behaviours than absolute outlet density.

methodsThis research applies a Bayesian hierarchical model to analyse the spatio-temporal patterns of RHFA in the Region of Waterloo, Canada, from 2011 to 2014 at the small-area level. RHFA is calculated as the proportion of healthy food outlets (healthy outlets/healthy + unhealthy outlets) within 4-km from each small-area. This model measures spatial autocorrelation of RHFA, temporal trend of RHFA for the study region, and spatio-temporal trends of RHFA for small-areas.

resultsFor the study region, a significant decreasing trend in RHFA is observed (-0.024), suggesting that food swamps have become more prevalent during the study period. For small-areas, significant decreasing temporal trends in RHFA were observed for all small-areas. Specific small-areas located in south Waterloo, north Kitchener, and southeast Cambridge exhibited the steepest decreasing spatio-temporal trends and are classified as spatio-temporal food swamps.

conclusionsThis research demonstrates a Bayesian spatio-temporal modelling approach to analyse RHFA at the small-area scale. Results suggest that food swamps are more prevalent than food deserts in the Region of Waterloo. Analysing spatio-temporal trends of RHFA improves understanding of local food environment, highlighting specific small-areas where policies should be targeted to increase RHFA and reduce risk factors of adverse health outcomes such as obesity.

Indexed as

Bayes TheoremEnvironmentFood SupplyHumansModels, StatisticalObesityOntarioPopulation DensityResidence CharacteristicsRestaurantsRisk FactorsSmall-Area AnalysisSpatio-Temporal Analysis

Identifiers

PMID26714645
PMCPMC4696295

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.