Introduction
“Food deserts” have emerged over the past 20 years as spaces of concern
for communities, public health authorities and researchers because of their potential
negative impact on dietary quality and subsequent health outcomes. Food deserts are
residential geographic spaces, typically in urban settings, where low-income residents
have limited or no access to retail food establishments with sufficient variety at affordable
cost. Research on food deserts presents methodological challenges including retail
food store identification and classification, identification of low-income populations,
and transportation and proximity metrics. Furthermore, the complex methods often
used in food desert research can be difficult to reproduce and communicate to key
stakeholders. To address these challenges, this study sought to demonstrate the feasibility
of implementing a simple and reproducible method of identifying food deserts using
data easily available in the Canadian context.
Methods
This study was conducted in Winnipeg, Canada in 2014. Food retail establishments
were identified from Yellow Pages and verified by public health dietitians. We
calculated two scenarios of food deserts based on location of the lowest-income quintile
population: (a) living ≥ 500 m from a national chain grocery store, or (b) living ≥ 500 m
from a national chain grocery store or a full-service grocery store.
Results
The number of low-income residents living in a food desert ranged from 64 574
to 104 335, depending on the scenario used.
Conclusion
This study shows that food deserts affect a significant proportion of the
Winnipeg population, and while concentrated in the urban core, exist in suburban
neighbourhoods also. The methods utilized represent an accessible and transparent,
reproducible process for identifying food deserts. These methods can be used for costeffective,
periodic surveillance and meaningful engagement with communities, retailers
and policy makers.