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Selection of key foods for the systematic management of a food and nutrient composition database
BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for de...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Nutrition Society and the Korean Society of Community Nutrition
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712501/ https://www.ncbi.nlm.nih.gov/pubmed/29209461 http://dx.doi.org/10.4162/nrp.2017.11.6.500 |
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author | Shim, Jee-Seon Lee, Jung-Sug Kim, Ki Nam Lee, Hyun Sook Kim, Hye Young Chang, Moon-Jeong |
author_facet | Shim, Jee-Seon Lee, Jung-Sug Kim, Ki Nam Lee, Hyun Sook Kim, Hye Young Chang, Moon-Jeong |
author_sort | Shim, Jee-Seon |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for developing and updating the database. We aimed to identify key foods in the Korean diet to set priorities for future analysis of foods. SUBJECTS/METHODS: modified the US Department of Agriculture's key food approach. First, major foods were analyzed, contributing to 75%, 80%, 85%, or 90% of each nutrient intake. Second, the cumulative contributions to nutrient intakes were compared before and after excluding the foods least commonly consumed by individuals. Third, total nutrient score for each food was calculated by summing all percent contributions times 100 for nutrients. To set priorities among the foods in the list, we sorted the score in descending order and then compared total percent contributions of foods, within the 100, 90, 85, 80, and 75 percentiles of the list. Finally, we selected the minimum list of foods contributing to at least 90% of the key nutrient intake as key items for analysis. RESULTS: Among the 1,575 foods consumed by individuals, 456 were selected as key foods. Those foods were chosen as items above the 80 percentile of the total nutrient score, among the foods contributing at least 85% of any nutrient intake. On an average, the selected key foods contributed to more than 90% of key nutrient intake. CONCLUSIONS: In total, 456 foods, contributing at least 90% of the key nutrient intake, were selected as key foods. This approach to select a minimum list of key foods will be helpful for systematically updating and revising food composition databases. |
format | Online Article Text |
id | pubmed-5712501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Korean Nutrition Society and the Korean Society of Community Nutrition |
record_format | MEDLINE/PubMed |
spelling | pubmed-57125012017-12-05 Selection of key foods for the systematic management of a food and nutrient composition database Shim, Jee-Seon Lee, Jung-Sug Kim, Ki Nam Lee, Hyun Sook Kim, Hye Young Chang, Moon-Jeong Nutr Res Pract Original Research BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for developing and updating the database. We aimed to identify key foods in the Korean diet to set priorities for future analysis of foods. SUBJECTS/METHODS: modified the US Department of Agriculture's key food approach. First, major foods were analyzed, contributing to 75%, 80%, 85%, or 90% of each nutrient intake. Second, the cumulative contributions to nutrient intakes were compared before and after excluding the foods least commonly consumed by individuals. Third, total nutrient score for each food was calculated by summing all percent contributions times 100 for nutrients. To set priorities among the foods in the list, we sorted the score in descending order and then compared total percent contributions of foods, within the 100, 90, 85, 80, and 75 percentiles of the list. Finally, we selected the minimum list of foods contributing to at least 90% of the key nutrient intake as key items for analysis. RESULTS: Among the 1,575 foods consumed by individuals, 456 were selected as key foods. Those foods were chosen as items above the 80 percentile of the total nutrient score, among the foods contributing at least 85% of any nutrient intake. On an average, the selected key foods contributed to more than 90% of key nutrient intake. CONCLUSIONS: In total, 456 foods, contributing at least 90% of the key nutrient intake, were selected as key foods. This approach to select a minimum list of key foods will be helpful for systematically updating and revising food composition databases. The Korean Nutrition Society and the Korean Society of Community Nutrition 2017-12 2017-11-28 /pmc/articles/PMC5712501/ /pubmed/29209461 http://dx.doi.org/10.4162/nrp.2017.11.6.500 Text en ©2017 The Korean Nutrition Society and the Korean Society of Community Nutrition http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Shim, Jee-Seon Lee, Jung-Sug Kim, Ki Nam Lee, Hyun Sook Kim, Hye Young Chang, Moon-Jeong Selection of key foods for the systematic management of a food and nutrient composition database |
title | Selection of key foods for the systematic management of a food and nutrient composition database |
title_full | Selection of key foods for the systematic management of a food and nutrient composition database |
title_fullStr | Selection of key foods for the systematic management of a food and nutrient composition database |
title_full_unstemmed | Selection of key foods for the systematic management of a food and nutrient composition database |
title_short | Selection of key foods for the systematic management of a food and nutrient composition database |
title_sort | selection of key foods for the systematic management of a food and nutrient composition database |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712501/ https://www.ncbi.nlm.nih.gov/pubmed/29209461 http://dx.doi.org/10.4162/nrp.2017.11.6.500 |
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