Evidence map›Paper›PMID 41732112›Full record

ArticleHealth promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals2026

Mapping the Healthiness of Community Food Environments and Their Association With the Socioeconomic Index for Areas (SEIFA) in the South Coast of NSW.

Alemayehu Digssie Gebremariam, Katherine Kent, Chris Brennan-Horley, Suzanne Pickles, Karen Charlton

Abstract read
In one paragraph

Article in Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals, 2026. 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
–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. Article
  2. Mapping the Healthiness of Community Food Environments and Their Association With the Socioeconomic Index for Areas (SEIFA) in the South Coast of NSW.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    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

5 authors.

Alemayehu Digssie GebremariamSchool of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9449-6689
Katherine KentSchool of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.ORCID https://orcid.org/0000-0002-5330-7044
Chris Brennan-HorleySchool of Social Sciences, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia.
Suzanne PicklesSchool of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.
Karen CharltonSchool of Health Sciences, University of Newcastle, Newcastle, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8044-444X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

issue addressedThe community food environment may influence consumers' dietary behaviours, particularly in socioeconomically disadvantaged areas. There is a paucity of evidence on the distribution of food outlets and their association with socioeconomic position in regional Australia. This study mapped the healthiness of food environments in the South Coast of NSW and examined associations with socioeconomic advantage and disadvantage.

methodsA cross-sectional study using registered food outlet data, supplemented by Google Maps search, was conducted. The Food Environment Score (FES) was used to assign a three-category healthiness score to food outlets, then categorised into a binary variable (unhealthy and healthy/less healthy). Multiple logistic regression was used to identify associations between food outlet types, administrative cluster, and the Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD; Quintiles 1-5), using quintile 3 as the reference.

resultsOf the 2321 identified food outlets, nearly half (n = 1040; 44.8%) were categorised as unhealthy, while only a small proportion (n = 345; 14.9%) were categorised as healthy. Advantaged areas (IRSAD quintile 5 and 4) had 40% less (AOR 0.60 [0.5, 0.8]) and 42% less (AOR 0.58 [0.4, 0.8]) unhealthy food outlets than IRSAD quintile 3 areas, respectively, after adjusting for the administrative cluster. No difference was found between the disadvantaged areas (IRSAD quintiles 1 and 2) and IRSAD quintile 3.

conclusionsIn the South Coast of NSW, unhealthy food outlets dominated the community food environment, particularly in socioeconomically disadvantaged and middle-income areas. This study extends the existing evidence in the selected states and metropolitan areas to regional Australia. SO WHAT?: Targeted interventions, including public policy and public health initiatives, are needed to increase access to healthy food outlets and restrict unhealthy options, particularly in middle and disadvantaged socioeconomic communities.

Indexed as

Diet, HealthyFood SupplyResidence CharacteristicsCross-Sectional StudiesHumansLow Socioeconomic StatusNew South WalesSocioeconomic Disparities in HealthSocioeconomic Factorscommunity food environmentfood environment scorefood outletshealthinesssocioeconomic index for areas

Identifiers

PMID41732112
PMCPMC12930234

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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.