Next Article in Journal
Iodine Status and Iodised Salt Consumption in Portuguese School-Aged Children: The Iogeneration Study
Next Article in Special Issue
NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment
Previous Article in Journal
Under 5 Energize: Tracking Progress of a Preschool Nutrition and Physical Activity Programme with Regional Measures of Body Size and Dental Health at Age of Four Years
Previous Article in Special Issue
Comparison of a Web-Based 24-h Dietary Recall Tool (Foodbook24) to an Interviewer-Led 24-h Dietary Recall
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Nutrients 2017, 9(5), 457; doi:10.3390/nu9050457

An Innovative Method for Monitoring Food Quality and the Healthfulness of Consumers’ Grocery Purchases

Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
*
Author to whom correspondence should be addressed.
Received: 1 December 2016 / Revised: 26 April 2017 / Accepted: 2 May 2017 / Published: 5 May 2017
(This article belongs to the Special Issue Technology Based Approaches to Dietary Intake Assessment)
View Full-Text   |   Download PDF [966 KB, uploaded 5 May 2017]   |  

Abstract

This study presents a method laying the groundwork for systematically monitoring food quality and the healthfulness of consumers’ point-of-sale grocery purchases. The method automates the process of identifying United States Department of Agriculture (USDA) Food Patterns Equivalent Database (FPED) components of grocery food items. The input to the process is the compact abbreviated descriptions of food items that are similar to those appearing on the point-of-sale sales receipts of most food retailers. The FPED components of grocery food items are identified using Natural Language Processing techniques combined with a collection of food concept maps and relationships that are manually built using the USDA Food and Nutrient Database for Dietary Studies, the USDA National Nutrient Database for Standard Reference, the What We Eat In America food categories, and the hierarchical organization of food items used by many grocery stores. We have established the construct validity of the method using data from the National Health and Nutrition Examination Survey, but further evaluation of validity and reliability will require a large-scale reference standard with known grocery food quality measures. Here we evaluate the method’s utility in identifying the FPED components of grocery food items available in a large sample of retail grocery sales data (~190 million transaction records). View Full-Text
Keywords: household food environment; informatics; USDA databases; Healthy Eating Index; Dietary Guidelines for Americans; methodology; nutrition assessment household food environment; informatics; USDA databases; Healthy Eating Index; Dietary Guidelines for Americans; methodology; nutrition assessment
Figures

Figure 1

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. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Tran, L.-T.T.; Brewster, P.J.; Chidambaram, V.; Hurdle, J.F. An Innovative Method for Monitoring Food Quality and the Healthfulness of Consumers’ Grocery Purchases. Nutrients 2017, 9, 457.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Nutrients EISSN 2072-6643 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top