Evidence map›Paper›PMID 32092853›Full record

ArticleInternational journal of environmental research and public health2020

Food Retail Environments in Greater Melbourne 2008-2016: Longitudinal Analysis of Intra-City Variation in Density and Healthiness of Food Outlets.

Cindy Needham, Liliana Orellana, Steven Allender, Gary Sacks, Miranda R Blake, Claudia Strugnell

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. A Systematic Review of Economic Evaluations of Health-Promoting Food Retail-Based Interventions.International journal of environmental research and public health · 2021
    Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. 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
  7. Article
  8. Non-Linear Socioeconomic Inequality in the Distribution of Food Outlets in Metropolitan Melbourne and Regional Victoria, Australia.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
    Article
  9. Article
  10. Retrospective analysis of regional and metropolitan school food environments using Google Street View: A case study in New South Wales, Australia with youth consultation.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Cindy NeedhamInstitute for Health Transformation, Global Obesity Centre, Deakin University, Geelong 3220, Australia.ORCID 0000-0002-4572-6820
Liliana OrellanaFaculty of Health, Biostatistics Unit, Deakin University, Geelong 3220, Australia.ORCID 0000-0003-3736-4337
Steven AllenderInstitute for Health Transformation, Global Obesity Centre, Deakin University, Geelong 3220, Australia.
Gary SacksInstitute for Health Transformation, Global Obesity Centre, Deakin University, Geelong 3220, Australia.ORCID 0000-0001-9736-1539
Miranda R BlakeInstitute for Health Transformation, Global Obesity Centre, Deakin University, Geelong 3220, Australia.ORCID 0000-0002-0649-2320
Claudia StrugnellInstitute for Health Transformation, Global Obesity Centre, Deakin University, Geelong 3220, Australia.ORCID 0000-0001-5912-9720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity prevalence is inequitably distributed across geographic areas. Food environments may contribute to health disparities, yet little is known about how food environments are evolving over time and how this may influence dietary intake and weight. This study aimed to analyse intra-city variation in density and healthiness of food outlets between 2008 and 2016 in Melbourne, Australia. Food outlet data were classified by location, type and healthiness. Local government areas (LGAs) were classified into four groups representing distance from the central business district. Residential population estimates for each LGA were used to calculate the density of food outlets per 10,000 residents. Linear mixed models were fitted to estimate the mean density and ratio of 'healthy' to 'unhealthy' food outlets and food outlet 'types' by LGA group over time. The number of food outlets increased at a faster rate than the residential population, driven by an increasing density of both 'unhealthy' and 'healthy' outlets. Across all years, ratios of 'unhealthy' to 'healthy' outlets were highest in LGAs located in designated Growth Areas. Melbourne's metropolitan food environment is saturated by 'unhealthy' and 'less healthy' food outlets, relative to 'healthy' ones. Melbourne's urban growth areas had the least healthy food environments.

Indexed as

EnvironmentFoodFood SupplyResidence CharacteristicsAustraliaCitiesCommerceDiet, HealthyHumansObesitydietfood environmentfood retailobesityurban growth

Identifiers

PMID32092853
PMCPMC7068484

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.