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Adapting a US dietary analysis software and nutrient database for use in Brazil.
- Source :
-
Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems [J Food Compost Anal] 2023 Aug; Vol. 121. Date of Electronic Publication: 2023 Apr 24. - Publication Year :
- 2023
-
Abstract
- In many countries, assessing food and nutrient intake for research and surveillance purposes is difficult due to the lack of comprehensive, country-specific food and nutrient databases and/or a dietary analysis software program. In this case study, we describe the approach used to adapt a United States (US) dietary analysis software and nutrient database (Nutrition Data System for Research [NDSR]) for use in analyzing 24-hour dietary recalls collected for the Brazil Kids Nutrition and Health Study (KNHS). A team of experts that included individuals knowledgeable about Brazil and US eating traditions was assembled to devise solutions for between-country differences in eating habits, food supply, food nomenclature, and language. Solutions devised relied on several key resources, including the Brazilian Food Composition Table (TBCA) and a list of 200 foods commonly consumed in Brazil. These solutions included creating data entry rules that specified how each reported food should be entered into NDSR, creation of User Recipes for foods lacking a close nutritionally matching food in the NDSR database, and adjustment for food fortification differences as part of the analysis of study data. This case study illustrates that NDSR can be adapted for use outside of the United States through a structured process.
Details
- Language :
- English
- ISSN :
- 0889-1575
- Volume :
- 121
- Database :
- MEDLINE
- Journal :
- Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems
- Publication Type :
- Academic Journal
- Accession number :
- 37637755
- Full Text :
- https://doi.org/10.1016/j.jfca.2023.105364