Using spatial analysis to examine inequalities and temporal trends in food retail accessibility

Public Health Nutr. 2024 Oct 24;27(1):e222. doi: 10.1017/S1368980024001344.

Abstract

Objective: In this paper, we examined whether there are inequalities in access to food retail (by type and healthiness) across local government areas (LGA) in Greater Melbourne and by LGA grouped based on their distance from the central business district and Growth Area designation. We also examined whether these inequalities persisted over time.

Design: This is a secondary analysis of a repeated cross-sectional census of food outlets collected at four time points (2008, 2012, 2014 and 2016) across 31 LGA. Using Geographical Information Systems, we present a spatial analysis of food retail environments in Melbourne, Australia, at these four times over eight years.

Setting: Greater Melbourne, Australia.

Participants: 31 LGA in Greater Melbourne.

Results: Findings show significant inequalities in access to healthy food retail persisting over time at the LGA level. Residents in lower density urban growth areas had the least access to healthy food retail. Unhealthy food retail was comparatively more accessible, with a temporal trend indicating increased accessibility over time in urban growth areas only.

Conclusion: Accessibility to food outlets, particularly healthy food outlets and supermarkets, in Greater Melbourne is not equal. To identify and address health inequalities associated with rapid urban growth, further understanding of how people interact with the food environment needs to be explored.

Keywords: Food environment; Food retail; Health inequalities; Public health nutrition; Supermarket.

MeSH terms

  • Australia
  • Commerce* / statistics & numerical data
  • Commerce* / trends
  • Cross-Sectional Studies
  • Diet, Healthy / statistics & numerical data
  • Diet, Healthy / trends
  • Food Supply* / statistics & numerical data
  • Geographic Information Systems
  • Humans
  • Local Government
  • Residence Characteristics / statistics & numerical data
  • Socioeconomic Factors*
  • Spatial Analysis*
  • Supermarkets*