Marine & Environmental Sciences Faculty Articles
ORCID
0000-0002-4629-9322
Document Type
Article
Publication Title
International Journal of Environmental Research and Public Health
ISSN
1660-4601
Publication Date
9-29-2021
Keywords
food desert, supermarkets, social justice, food supply
Abstract
“Food deserts” are usually defined as geographic areas without local access to fresh, healthy food. We used community ecology statistics in supermarkets to quantify the availability of healthy food and to potentially identify food deserts as areas without a diverse selection of food, rather than a binary as to whether fresh food is present or not. We test whether produce diversity is correlated with neighborhood income or demographics. Abundance and diversity of fresh produce was quantified in supermarkets in Broward County, Florida, USA. Neighborhood income level and racial/ethnic makeup were retrieved from the U.S. Census and American Community Survey. Although diversity varied, there were no communities that had consistently less available fresh food, although the percent of a neighborhood identifying as “white” was positively correlated with produce diversity. There may be fewer choices in neighborhoods with a higher proportion of minorities, but there were no consistent patterns of produce diversity in Broward County. This method demonstrates an easy, inexpensive way to characterize food deserts beyond simple distance, and results in precise enough information to identify gaps in the availability of healthy foods.
DOI
10.3390/ijerph181910297
Volume
18
Issue
19
First Page
10297
Additional Comments
This research was supported by a President’s Faculty Research and Development Grant from Nova Southeastern University.
NSUWorks Citation
Annie Goyanes and J. Matthew Hoch. 2021. Using Ecological Diversity Analyses to Characterize the Availability of Healthy Food and Socio-Economic Food Deserts .International Journal of Environmental Research and Public Health , (19) : 10297 . https://nsuworks.nova.edu/occ_facarticles/1192.
COinS
Comments
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited