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A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey
Various and inconsistent definitions for free and added sugars are used in the consideration and assessment of dietary intakes across public health, presenting challenges for nutritional surveillance, research, and policy. Furthermore, analytical methods to identify those sugars which are not natura...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164377/ https://www.ncbi.nlm.nih.gov/pubmed/30154337 http://dx.doi.org/10.3390/nu10091177 |
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author | Amoutzopoulos, Birdem Steer, Toni Roberts, Caireen Cole, Darren Collins, David Yu, Dove Hawes, Tabitha Abraham, Suzanna Nicholson, Sonja Baker, Ruby Page, Polly |
author_facet | Amoutzopoulos, Birdem Steer, Toni Roberts, Caireen Cole, Darren Collins, David Yu, Dove Hawes, Tabitha Abraham, Suzanna Nicholson, Sonja Baker, Ruby Page, Polly |
author_sort | Amoutzopoulos, Birdem |
collection | PubMed |
description | Various and inconsistent definitions for free and added sugars are used in the consideration and assessment of dietary intakes across public health, presenting challenges for nutritional surveillance, research, and policy. Furthermore, analytical methods to identify those sugars which are not naturally incorporated into the cellular structure of foods are lacking, thus free and added sugars are difficult to estimate in an efficient and accurate way. We aimed to establish a feasible and accurate method that can be applied flexibly to different definitions. Based on recipe disaggregation, our method involved five steps and showed good repeatability and validity. The resulting Free Sugars Database provided data for seven components of sugars; (1) table sugar; (2) other sugars; (3) honey; (4) fruit juice; (5) fruit puree; (6) dried fruit; and (7) stewed fruit, for ~9000 foods. Our approach facilitates a standardized and efficient assessment of added and free sugars, offering benefit and potential for nutrition research and surveillance, and for the food industry, for example to support sugar reduction and reformulation agendas. |
format | Online Article Text |
id | pubmed-6164377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61643772018-10-10 A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey Amoutzopoulos, Birdem Steer, Toni Roberts, Caireen Cole, Darren Collins, David Yu, Dove Hawes, Tabitha Abraham, Suzanna Nicholson, Sonja Baker, Ruby Page, Polly Nutrients Article Various and inconsistent definitions for free and added sugars are used in the consideration and assessment of dietary intakes across public health, presenting challenges for nutritional surveillance, research, and policy. Furthermore, analytical methods to identify those sugars which are not naturally incorporated into the cellular structure of foods are lacking, thus free and added sugars are difficult to estimate in an efficient and accurate way. We aimed to establish a feasible and accurate method that can be applied flexibly to different definitions. Based on recipe disaggregation, our method involved five steps and showed good repeatability and validity. The resulting Free Sugars Database provided data for seven components of sugars; (1) table sugar; (2) other sugars; (3) honey; (4) fruit juice; (5) fruit puree; (6) dried fruit; and (7) stewed fruit, for ~9000 foods. Our approach facilitates a standardized and efficient assessment of added and free sugars, offering benefit and potential for nutrition research and surveillance, and for the food industry, for example to support sugar reduction and reformulation agendas. MDPI 2018-08-28 /pmc/articles/PMC6164377/ /pubmed/30154337 http://dx.doi.org/10.3390/nu10091177 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Amoutzopoulos, Birdem Steer, Toni Roberts, Caireen Cole, Darren Collins, David Yu, Dove Hawes, Tabitha Abraham, Suzanna Nicholson, Sonja Baker, Ruby Page, Polly A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey |
title | A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey |
title_full | A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey |
title_fullStr | A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey |
title_full_unstemmed | A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey |
title_short | A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey |
title_sort | disaggregation methodology to estimate intake of added sugars and free sugars: an illustration from the uk national diet and nutrition survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164377/ https://www.ncbi.nlm.nih.gov/pubmed/30154337 http://dx.doi.org/10.3390/nu10091177 |
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