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International Journal of Public Health

, Volume 62, Issue 8, pp 869–877 | Cite as

Food swamps by area socioeconomic deprivation in New Zealand: a national study

  • Zaynel Sushil
  • Stefanie VandevijvereEmail author
  • Daniel J. Exeter
  • Boyd Swinburn
Original Article

Abstract

Objectives

A nationwide spatial analysis of community retail food environments in relation to area socioeconomic deprivation was conducted in New Zealand.

Methods

Addresses from about 20,000 registered food outlets were retrieved from all 66 Councils. Outlets were classified, geocoded and (spatially) validated. The analysis included 4087 convenience, 4316 fast food/takeaway and 1271 supermarket and fruit/vegetable outlets and excluded outlets not considered ‘healthy’ or ‘unhealthy’. The population-weighted density of different outlet types in Census areas and the proximity to different outlet types from Meshblock centres were calculated and associations with area socioeconomic deprivation assessed. Spatial scan statistics was used to identify food swamp areas with a significantly higher relative density of unhealthy outlets than other areas.

Results

A significantly positive association was observed between area deprivation and density of all retailers. A significantly negative association was observed between area deprivation and proximity to all retailers. Nationwide, 722 Census areas were identified as food swamps.

Conclusions

Access to food retailers is significantly higher in more deprived areas than in less deprived areas. Restricting unhealthy outlets in areas with a high relative density of those outlets is recommended.

Keywords

Community retail food environments Area socioeconomic deprivation Food swamps 

Notes

Compliance with ethical standards

Ethical statement

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Supplementary material

38_2017_983_MOESM1_ESM.docx (2.2 mb)
Supplementary material 1 (DOCX 2283 kb)

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Copyright information

© Swiss School of Public Health (SSPH+) 2017

Authors and Affiliations

  • Zaynel Sushil
    • 1
  • Stefanie Vandevijvere
    • 1
    Email author
  • Daniel J. Exeter
    • 1
  • Boyd Swinburn
    • 1
  1. 1.Department of Epidemiology and Biostatistics, School of Population HealthThe University of AucklandAucklandNew Zealand

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