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Modelling of the impact of universal added sugar reduction through food reformulation

Food reformulation has been suggested to be one of the strategies to reduce population added sugar (AS) intake. This study aims to investigate the untested assumption that a reduction in AS through reformulation will result in a reduction in population intakes of AS and energy. Plausible dietary dat...

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Autores principales: Yeung, Chris Ho Ching, Gohil, Paayal, Rangan, Anna M., Flood, Victoria M., Arcot, Jayashree, Gill, Timothy P., Louie, Jimmy Chun Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727294/
https://www.ncbi.nlm.nih.gov/pubmed/29234031
http://dx.doi.org/10.1038/s41598-017-17417-8
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author Yeung, Chris Ho Ching
Gohil, Paayal
Rangan, Anna M.
Flood, Victoria M.
Arcot, Jayashree
Gill, Timothy P.
Louie, Jimmy Chun Yu
author_facet Yeung, Chris Ho Ching
Gohil, Paayal
Rangan, Anna M.
Flood, Victoria M.
Arcot, Jayashree
Gill, Timothy P.
Louie, Jimmy Chun Yu
author_sort Yeung, Chris Ho Ching
collection PubMed
description Food reformulation has been suggested to be one of the strategies to reduce population added sugar (AS) intake. This study aims to investigate the untested assumption that a reduction in AS through reformulation will result in a reduction in population intakes of AS and energy. Plausible dietary data from 4,140 respondents of an Australian national nutrition survey were used. Dietary modelling was performed at AS reductions of 10%, 15%, and 25% using four strategies: simple removal of AS or replacement with non-nutritive sweeteners (NNS), and replacement of AS with NNS and either: polyols, 50% fibres or 50% maltodextrin. Paired t-tests were conducted to compare the intake of energy, fat, and AS pre- and post-reformulation. The chosen reformulation strategies resulted in a projected reduction in AS and energy, with the greatest reduction found in 25% reformulation which was the highest level modelled. The overall projected mean (SD) reduction in energy and AS after 25% reformulation was 114 (92) kJ/day and 11.73 (7.52) g/day, p < 0.001. To conclude, product reformulation may be a potentially useful strategy for reducing AS intake. Although the magnitude of projected reduction was small at the individual level, the impact may be meaningful at a population level.
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spelling pubmed-57272942017-12-13 Modelling of the impact of universal added sugar reduction through food reformulation Yeung, Chris Ho Ching Gohil, Paayal Rangan, Anna M. Flood, Victoria M. Arcot, Jayashree Gill, Timothy P. Louie, Jimmy Chun Yu Sci Rep Article Food reformulation has been suggested to be one of the strategies to reduce population added sugar (AS) intake. This study aims to investigate the untested assumption that a reduction in AS through reformulation will result in a reduction in population intakes of AS and energy. Plausible dietary data from 4,140 respondents of an Australian national nutrition survey were used. Dietary modelling was performed at AS reductions of 10%, 15%, and 25% using four strategies: simple removal of AS or replacement with non-nutritive sweeteners (NNS), and replacement of AS with NNS and either: polyols, 50% fibres or 50% maltodextrin. Paired t-tests were conducted to compare the intake of energy, fat, and AS pre- and post-reformulation. The chosen reformulation strategies resulted in a projected reduction in AS and energy, with the greatest reduction found in 25% reformulation which was the highest level modelled. The overall projected mean (SD) reduction in energy and AS after 25% reformulation was 114 (92) kJ/day and 11.73 (7.52) g/day, p < 0.001. To conclude, product reformulation may be a potentially useful strategy for reducing AS intake. Although the magnitude of projected reduction was small at the individual level, the impact may be meaningful at a population level. Nature Publishing Group UK 2017-12-12 /pmc/articles/PMC5727294/ /pubmed/29234031 http://dx.doi.org/10.1038/s41598-017-17417-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yeung, Chris Ho Ching
Gohil, Paayal
Rangan, Anna M.
Flood, Victoria M.
Arcot, Jayashree
Gill, Timothy P.
Louie, Jimmy Chun Yu
Modelling of the impact of universal added sugar reduction through food reformulation
title Modelling of the impact of universal added sugar reduction through food reformulation
title_full Modelling of the impact of universal added sugar reduction through food reformulation
title_fullStr Modelling of the impact of universal added sugar reduction through food reformulation
title_full_unstemmed Modelling of the impact of universal added sugar reduction through food reformulation
title_short Modelling of the impact of universal added sugar reduction through food reformulation
title_sort modelling of the impact of universal added sugar reduction through food reformulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727294/
https://www.ncbi.nlm.nih.gov/pubmed/29234031
http://dx.doi.org/10.1038/s41598-017-17417-8
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