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Nutrition Classification Schemes for Informing Nutrition Policy in Australia: Nutrient-Based, Food-Based, or Dietary-Based?
BACKGROUND: Policy makers are increasingly using nutrition classification schemes (NCSs) to assess a food's health potential for informing nutrition policy actions. However, there is wide variability among the NCSs implemented and no standard benchmark against which their contrasting assessment...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429971/ https://www.ncbi.nlm.nih.gov/pubmed/36060220 http://dx.doi.org/10.1093/cdn/nzac112 |
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author | Dickie, Sarah Woods, Julie Machado, Priscila Lawrence, Mark |
author_facet | Dickie, Sarah Woods, Julie Machado, Priscila Lawrence, Mark |
author_sort | Dickie, Sarah |
collection | PubMed |
description | BACKGROUND: Policy makers are increasingly using nutrition classification schemes (NCSs) to assess a food's health potential for informing nutrition policy actions. However, there is wide variability among the NCSs implemented and no standard benchmark against which their contrasting assessments can be validated. OBJECTIVES: This study aimed to compare the agreement of nutrient-, food-, and dietary-based NCSs in their assessment of a food's health potential within the Australian food supply, and examine the conceptual underpinnings and technical characteristics that explain differences in performance. METHODS: A dataset combining food compositional data from the Mintel Global New Products Database and the Australian Food Composition Database (AUSNUT 2011–2012) (n = 7322) was assembled. Products were classified by 7 prominent NCSs that were selected as representative of one or other of 1) nutrient-based NCSs [the Chilean nutrient profile model (NPM), Health Star Rating (HSR), Nutri-Score, the WHO European Region's NPM (WHO-Euro NPM), and the Pan American Health Organization's (PAHO) NPM]; 2) food-based NCS (NOVA), and 3) dietary-based NCS [Australian Dietary Guidelines (ADGs)]. RESULTS: The PAHO NPM classified the lowest proportion (22%) of products as “healthy”, and the HSR the highest (63%). The PAHO NPM, NOVA, WHO-Euro NPM, and the Chilean NPM classified >50% of products as “unhealthy,” and the ADGs, HSR, and Nutri-Score classified <50% of products as “unhealthy.” The HSR and Nutri-Score had the highest pairwise agreement (κ = 0.7809, 89.70%), and the PAHO NPM and HSR the lowest (κ = 0.1793, 53.22%). Characteristics of NCSs that more effectively identified ultraprocessed and discretionary foods were: category-specific assessment, the classification of categories as always “healthy” or “unhealthy,” consideration of level of food processing, thresholds for “risk” nutrients that do not penalize whole foods; and no allowance for the substitution of ingredients. CONCLUSIONS: Wide variation was observed in agreement of the assessment of a food's health potential among the NCSs analyzed due to differing conceptual underpinnings and technical characteristics. |
format | Online Article Text |
id | pubmed-9429971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94299712022-09-01 Nutrition Classification Schemes for Informing Nutrition Policy in Australia: Nutrient-Based, Food-Based, or Dietary-Based? Dickie, Sarah Woods, Julie Machado, Priscila Lawrence, Mark Curr Dev Nutr Original Research BACKGROUND: Policy makers are increasingly using nutrition classification schemes (NCSs) to assess a food's health potential for informing nutrition policy actions. However, there is wide variability among the NCSs implemented and no standard benchmark against which their contrasting assessments can be validated. OBJECTIVES: This study aimed to compare the agreement of nutrient-, food-, and dietary-based NCSs in their assessment of a food's health potential within the Australian food supply, and examine the conceptual underpinnings and technical characteristics that explain differences in performance. METHODS: A dataset combining food compositional data from the Mintel Global New Products Database and the Australian Food Composition Database (AUSNUT 2011–2012) (n = 7322) was assembled. Products were classified by 7 prominent NCSs that were selected as representative of one or other of 1) nutrient-based NCSs [the Chilean nutrient profile model (NPM), Health Star Rating (HSR), Nutri-Score, the WHO European Region's NPM (WHO-Euro NPM), and the Pan American Health Organization's (PAHO) NPM]; 2) food-based NCS (NOVA), and 3) dietary-based NCS [Australian Dietary Guidelines (ADGs)]. RESULTS: The PAHO NPM classified the lowest proportion (22%) of products as “healthy”, and the HSR the highest (63%). The PAHO NPM, NOVA, WHO-Euro NPM, and the Chilean NPM classified >50% of products as “unhealthy,” and the ADGs, HSR, and Nutri-Score classified <50% of products as “unhealthy.” The HSR and Nutri-Score had the highest pairwise agreement (κ = 0.7809, 89.70%), and the PAHO NPM and HSR the lowest (κ = 0.1793, 53.22%). Characteristics of NCSs that more effectively identified ultraprocessed and discretionary foods were: category-specific assessment, the classification of categories as always “healthy” or “unhealthy,” consideration of level of food processing, thresholds for “risk” nutrients that do not penalize whole foods; and no allowance for the substitution of ingredients. CONCLUSIONS: Wide variation was observed in agreement of the assessment of a food's health potential among the NCSs analyzed due to differing conceptual underpinnings and technical characteristics. Oxford University Press 2022-07-04 /pmc/articles/PMC9429971/ /pubmed/36060220 http://dx.doi.org/10.1093/cdn/nzac112 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Research Dickie, Sarah Woods, Julie Machado, Priscila Lawrence, Mark Nutrition Classification Schemes for Informing Nutrition Policy in Australia: Nutrient-Based, Food-Based, or Dietary-Based? |
title | Nutrition Classification Schemes for Informing Nutrition Policy in Australia: Nutrient-Based, Food-Based, or Dietary-Based? |
title_full | Nutrition Classification Schemes for Informing Nutrition Policy in Australia: Nutrient-Based, Food-Based, or Dietary-Based? |
title_fullStr | Nutrition Classification Schemes for Informing Nutrition Policy in Australia: Nutrient-Based, Food-Based, or Dietary-Based? |
title_full_unstemmed | Nutrition Classification Schemes for Informing Nutrition Policy in Australia: Nutrient-Based, Food-Based, or Dietary-Based? |
title_short | Nutrition Classification Schemes for Informing Nutrition Policy in Australia: Nutrient-Based, Food-Based, or Dietary-Based? |
title_sort | nutrition classification schemes for informing nutrition policy in australia: nutrient-based, food-based, or dietary-based? |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429971/ https://www.ncbi.nlm.nih.gov/pubmed/36060220 http://dx.doi.org/10.1093/cdn/nzac112 |
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