Evidence map›Paper›PMID 29361993›Full record

ArticlePublic health nutrition2018

The Flint Food Store Survey: combining spatial analysis with a modified Nutrition Environment Measures Survey in Stores (NEMS-S) to measure the community and consumer nutrition environments.

Erika R Shaver, Richard C Sadler, Alex B Hill, Kendall Bell, Myah Ray, Jennifer Choy-Shin, Joy Lerner, Teresa Soldner, Andrew D Jones

Erratum issuedAbstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

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  11. Development and Validation of a Set of Instruments to Measure Food Environments.International journal of environmental research and public health · 2022
    Review
  12. Article
  13. Mapping the Way to Good Health: The Interdisciplinary Challenges of Geographers in Medical Research.International journal of environmental research and public health · 2022
    Article
  14. Balancing Mission and Margins: What Makes Healthy Community Food Stores Successful.International journal of environmental research and public health · 2022
    Article
  15. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Erika R Shaver1Department of Nutritional Sciences,University of Michigan School of Public Health,Ann Arbor,MI,USA.
Richard C Sadler2Department of Family Medicine,Michigan State University College of Human Medicine,200 East 1st Street,Flint,MI 48502,USA.
Alex B Hill3Public Health Program,Wayne State University Integrative Biosciences Center,Detroit,MI,USA.
Kendall Bell2Department of Family Medicine,Michigan State University College of Human Medicine,200 East 1st Street,Flint,MI 48502,USA.
Myah Ray2Department of Family Medicine,Michigan State University College of Human Medicine,200 East 1st Street,Flint,MI 48502,USA.
Jennifer Choy-Shin2Department of Family Medicine,Michigan State University College of Human Medicine,200 East 1st Street,Flint,MI 48502,USA.
Joy Lerner2Department of Family Medicine,Michigan State University College of Human Medicine,200 East 1st Street,Flint,MI 48502,USA.
Teresa Soldner2Department of Family Medicine,Michigan State University College of Human Medicine,200 East 1st Street,Flint,MI 48502,USA.
Andrew D Jones1Department of Nutritional Sciences,University of Michigan School of Public Health,Ann Arbor,MI,USA.

Funding

The Flint Center for Health Equity SolutionsU54MD011227 · NIMHD · MICHIGAN STATE UNIVERSITY · PI SADLER, RICHARD CASEY · 2016 to 2020
$10.7M
NIMHD NIH HHS U54 MD011227
6 · The paper itself

Abstract

objectiveThe goal of the present study was to use a methodology that accurately and reliably describes the availability, price and quality of healthy foods at both the store and community levels using the Nutrition Environment Measures Survey in Stores (NEMS-S), to propose a spatial methodology for integrating these store and community data into measures for defining objective food access.

settingTwo hundred and sixty-five retail food stores in and within 2 miles (3·2 km) of Flint, Michigan, USA, were mapped using ArcGIS mapping software.

designA survey based on the validated NEMS-S was conducted at each retail food store. Scores were assigned to each store based on a modified version of the NEMS-S scoring system and linked to the mapped locations of stores. Neighbourhood characteristics (race and socio-economic distress) were appended to each store. Finally, spatial and kernel density analyses were run on the mapped store scores to obtain healthy food density metrics.

resultsRegression analyses revealed that neighbourhoods with higher socio-economic distress had significantly lower dairy sub-scores compared with their lower-distress counterparts (β coefficient=-1·3; P=0·04). Additionally, supermarkets were present only in neighbourhoods with <60 % African-American population and low socio-economic distress. Two areas in Flint had an overall NEMS-S score of 0.

conclusionsBy identifying areas with poor access to healthy foods via a validated metric, this research can be used help local government and organizations target interventions to high-need areas. Furthermore, the methodology used for the survey and the mapping exercise can be replicated in other cities to provide comparable results.

Indexed as

Nutritional StatusSocial EnvironmentBlack or African AmericanFood SupplyGeographic Information SystemsHumansMichiganNutrition SurveysSocioeconomic FactorsSpatial AnalysisGeographic information systemsNEMS-SNutrition environmentSpatial analysis

Identifiers

PMID29361993
PMCPMC6941423

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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.