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Linking supermarket sales data to nutritional information: an informatics feasibility study
Kristina M Brinkerhoff1, Philip J Brewster, Edward B Clark
1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|December 24, 2011
Summary
Linking grocery sales data to nutritional information is feasible. A new method successfully mapped 70% of items to the USDA nutrient database, showing potential for public health dietary assessment.
Area of Science:
- Public Health Informatics
- Nutritional Science
- Data Science
Background:
- Grocery sales data offers valuable insights for dietary assessment programs.
- A significant obstacle is the absence of a computable method to link food items to nutrient data.
- Sustainable linkage between point-of-sale (POS) data and nutrient databases is needed.
Purpose of the Study:
- To investigate the feasibility of sustainably linking supermarket POS data to the USDA's Survey of Food Intakes by Individuals (SFII) nutrient database.
- To develop and evaluate a method for this linkage using existing supermarket item category hierarchies.
Main Methods:
- Analysis of 2,009,533 de-identified grocery sales items from 32,785 customers over two weeks.
- Development of a mapping methodology utilizing the supermarket's item category hierarchy to connect sales items to USDA nutrient records.
- Assessment of mapping success rates and required additional effort.
Main Results:
- Approximately 70% of all grocery items were successfully mapped and linked to the USDA nutrient database.
- An additional effort could increase the mappable items to approximately 90%.
- All items were mapped to standard USDA food groups, demonstrating comprehensive categorization.
Conclusions:
- Mapping grocery sales data to detailed nutritional information is feasible and achievable.
- The developed methodology offers a sustainable approach for integrating POS data into dietary assessment.
- This linkage has significant implications for enhancing public health informatics and nutritional research.
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