TY - GEN
T1 - Pilot Research on Improving Consumer Health Literacy in Food Labels by Measuring the Prevalence Occurrence of Similar Ingredients
AU - Lele, Sachi
AU - Cooper, Kathryn
N1 - Funding Information:
Research was supported by University of Nebraska College of Information and Science Technology’s Summer High School Internship Program.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Food labels on packaged foods should be consistent, correct, and helpful. However, they contain irregularities, including misspellings and different terms used to characterize the same ingredient. We created distribution graphs of ingredients with the highest occurrences from two databases, USDA FoodData Central and Open Food Facts, and prevalence scripts to compare the proportion of ingredients with their synonyms. Consumers with food allergies, intolerances, or mindful of their health will be informed of these alternative terms and less at risk for health problems. This will also bring awareness to the inconsistencies of food labels, thus improving the health literacy of consumers.
AB - Food labels on packaged foods should be consistent, correct, and helpful. However, they contain irregularities, including misspellings and different terms used to characterize the same ingredient. We created distribution graphs of ingredients with the highest occurrences from two databases, USDA FoodData Central and Open Food Facts, and prevalence scripts to compare the proportion of ingredients with their synonyms. Consumers with food allergies, intolerances, or mindful of their health will be informed of these alternative terms and less at risk for health problems. This will also bring awareness to the inconsistencies of food labels, thus improving the health literacy of consumers.
UR - http://www.scopus.com/inward/record.url?scp=85125167079&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125167079&partnerID=8YFLogxK
U2 - 10.1109/BIBM52615.2021.9669591
DO - 10.1109/BIBM52615.2021.9669591
M3 - Conference contribution
AN - SCOPUS:85125167079
T3 - Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
SP - 1664
EP - 1666
BT - Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
A2 - Huang, Yufei
A2 - Kurgan, Lukasz
A2 - Luo, Feng
A2 - Hu, Xiaohua Tony
A2 - Chen, Yidong
A2 - Dougherty, Edward
A2 - Kloczkowski, Andrzej
A2 - Li, Yaohang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
Y2 - 9 December 2021 through 12 December 2021
ER -