Characterizing the Food Retail Environment: Impact of Count, Type, and Geospatial Error in 2 Secondary Data Sources

Abstract Objective Commercial listings of food retail outlets are increasingly used by community members and food policy councils and in multilevel intervention research to identify areas with limited access to healthier food. This study quantified the amount of count, type, and geospatial error in...

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Bibliographic Details
Published in:Journal of nutrition education and behavior 2013-09, Vol.45 (5), p.435-442
Main Authors: Liese, Angela D., PhD, MPH, Barnes, Timothy L., MPH, Lamichhane, Archana P., PhD, Hibbert, James D., MS, Colabianchi, Natalie, PhD, Lawson, Andrew B., PhD
Format: Article
Language:English
Subjects:
Environment
food desert
food policy
food retailing
Food supply
Food Supply - statistics & numerical data
foods
Gastroenterology and Hepatology
geography
grocery stores
Humans
Internal Medicine
Intervention
Nutrition education
Public Health
Reproducibility of Results
Restaurants - statistics & numerical data
retail food environment
secondary data sources
Socioeconomic Factors
South Carolina
statistics
Supermarkets
validity
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Summary:Abstract Objective Commercial listings of food retail outlets are increasingly used by community members and food policy councils and in multilevel intervention research to identify areas with limited access to healthier food. This study quantified the amount of count, type, and geospatial error in 2 commercial data sources. Methods InfoUSA and Dun and Bradstreet were compared with a validated field census and validity statistics were calculated. Results Considering only completeness, Dun and Bradstreet data undercounted 24% of existing supermarkets and grocery stores, and InfoUSA, 29%. In addition, considering accuracy of outlet type assignment increased the undercount error to 42% and 39%, respectively. Marked overcount existed as well, and only 43% of existing supermarkets were correctly identified with respect to presence, outlet type, and location. Conclusions and Implications Relying exclusively on secondary data to characterize the food environment will result in substantial error. Whereas extensive data cleaning can offset some error, verification of outlets with a field census is still the method of choice.
ISSN:1499-4046
1878-2620
1708-8259
DOI:10.1016/j.jneb.2013.01.021