Literature DB >> 26433290

Improving food composition data quality: Three new FAO/INFOODS guidelines on conversions, data evaluation and food matching.

U Ruth Charrondiere1, Doris Rittenschober1, Verena Nowak1, Barbara Stadlmayr1, Ramani Wijesinha-Bettoni1, David Haytowitz1.   

Abstract

Food composition data play a key role in many sectors and the availability of quality data is critically important. Since 1984, the International Network of Food Data Systems (INFOODS) has been working towards improving food composition data quality and availability, including the development and updating of standards, guidelines and tools for food composition. FAO/INFOODS has recently published three comprehensive guidelines to improve and harmonise the compilation of data: (1) Guidelines for Food Matching, (2) Guidelines for Checking Food Composition Data prior to Publication of a User Table/Database, and (3) Guidelines for Converting Units, Denominators and Expressions. This article describes their content and development processes. Their adoption, along with additional ones planned for the future by FAO/INFOODS, should further improve the quality of published food composition data, which in turn can lead to more accurate nutrient intake estimates and more precise food labels, as well as better-targeted programs and policies.
Copyright © 2015 Food and Agriculture Organization of the United Nations (FAO). Published by Elsevier Ltd.. All rights reserved.

Keywords:  Checking; Conversion; Data quality; FAO/INFOODS; Food composition; Food matching; Guidelines

Mesh:

Year:  2014        PMID: 26433290     DOI: 10.1016/j.foodchem.2014.11.055

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  6 in total

1.  Harnessing global fisheries to tackle micronutrient deficiencies.

Authors:  Christina C Hicks; Philippa J Cohen; Nicholas A J Graham; Kirsty L Nash; Edward H Allison; Coralie D'Lima; David J Mills; Matthew Roscher; Shakuntala H Thilsted; Andrew L Thorne-Lyman; M Aaron MacNeil
Journal:  Nature       Date:  2019-09-25       Impact factor: 49.962

2.  Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints.

Authors:  Sai Krupa Das; Akari J Miki; Caroline M Blanchard; Edward Sazonov; Cheryl H Gilhooly; Sujit Dey; Colton B Wolk; Chor San H Khoo; James O Hill; Robin P Shook
Journal:  Adv Nutr       Date:  2022-02-01       Impact factor: 11.567

3.  Molecular annotation of food - towards personalized diet and precision health.

Authors:  Junai Gan; Justin B Siegel; J Bruce German
Journal:  Trends Food Sci Technol       Date:  2019-07-24       Impact factor: 12.563

4.  Nutrient Composition of Popularly Consumed African and Caribbean Foods in The UK.

Authors:  Tanefa A Apekey; June Copeman; Nichola H Kime; Osama A Tashani; Monia Kittaneh; Donna Walsh; Maria J Maynard
Journal:  Foods       Date:  2019-10-15

5.  Assessing dietary intakes from household budget surveys: A national analysis in Bangladesh.

Authors:  Dimitra Karageorgou; Fumiaki Imamura; Jianyi Zhang; Peilin Shi; Dariush Mozaffarian; Renata Micha
Journal:  PLoS One       Date:  2018-08-27       Impact factor: 3.240

6.  Development of an Unified Food Composition Database for the European Project "Stance4Health".

Authors:  Daniel Hinojosa-Nogueira; Sergio Pérez-Burillo; Beatriz Navajas-Porras; Bartolomé Ortiz-Viso; Silvia Pastoriza de la Cueva; Fabio Lauria; Alexandra Fatouros; Kostas N Priftis; Verónica González-Vigil; José Ángel Rufián-Henares
Journal:  Nutrients       Date:  2021-11-24       Impact factor: 5.717

  6 in total

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