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Applying and comparing various nutrient profiling models against the packaged food supply in South Africa
OBJECTIVE: This study aimed to apply the newly developed Chile Adjusted Model (CAM) nutrient profiling model (NPM) to the food supply in South Africa (SA) and compare its performance against existing NPM as an indication of suitability for use to underpin food policies targeted at discouraging consu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cambridge University Press
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378746/ https://www.ncbi.nlm.nih.gov/pubmed/35168688 http://dx.doi.org/10.1017/S1368980022000374 |
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author | Frank, Tamryn Ng, Shu Wen Miles, Donna R Swart, Elizabeth C |
author_facet | Frank, Tamryn Ng, Shu Wen Miles, Donna R Swart, Elizabeth C |
author_sort | Frank, Tamryn |
collection | PubMed |
description | OBJECTIVE: This study aimed to apply the newly developed Chile Adjusted Model (CAM) nutrient profiling model (NPM) to the food supply in South Africa (SA) and compare its performance against existing NPM as an indication of suitability for use to underpin food policies targeted at discouraging consumption of products high in nutrients associated with poor health. DESIGN: Cross-sectional analysis of the SA-packaged food supply comparing the CAM to three other NPM: SA Health and Nutrition Claims (SA HNC), Chilean Warning Octagon (CWO) 2019, and Pan-American Health Organisation (PAHO) NPM. SETTING: The SA-packaged food supply based on products stocked by supermarkets in Cape Town, SA. PARTICIPANTS: Packaged foods and beverages (n 6474) available in 2018 were analysed. RESULTS: Forty-nine per cent of products contained excessive amounts of nutrients of concern (considered non-compliant) according to the criteria of all four models. Only 10·9 % of products were not excessive in any nutrients of concern (considered compliant) according to all NPM evaluated. The CAM had an overall non-compliance level of 73·2 % and was comparable to the CWO 2019 for foods (71·2 % and 71·1 %, respectively). The CAM was the strictest NPM for beverages (80·4 %) due to the criteria of non-sugar sweeteners and free sugars. The SA HNC was the most lenient with non-compliance at 52·9 %. This was largely due to the inclusion of nutrients to encourage, which is a criterion for this NPM. CONCLUSION: For the purpose of discouraging products high in nutrients associated with poor health in SA, the CAM is a suitable NPM. |
format | Online Article Text |
id | pubmed-9378746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-93787462023-03-08 Applying and comparing various nutrient profiling models against the packaged food supply in South Africa Frank, Tamryn Ng, Shu Wen Miles, Donna R Swart, Elizabeth C Public Health Nutr Research Paper OBJECTIVE: This study aimed to apply the newly developed Chile Adjusted Model (CAM) nutrient profiling model (NPM) to the food supply in South Africa (SA) and compare its performance against existing NPM as an indication of suitability for use to underpin food policies targeted at discouraging consumption of products high in nutrients associated with poor health. DESIGN: Cross-sectional analysis of the SA-packaged food supply comparing the CAM to three other NPM: SA Health and Nutrition Claims (SA HNC), Chilean Warning Octagon (CWO) 2019, and Pan-American Health Organisation (PAHO) NPM. SETTING: The SA-packaged food supply based on products stocked by supermarkets in Cape Town, SA. PARTICIPANTS: Packaged foods and beverages (n 6474) available in 2018 were analysed. RESULTS: Forty-nine per cent of products contained excessive amounts of nutrients of concern (considered non-compliant) according to the criteria of all four models. Only 10·9 % of products were not excessive in any nutrients of concern (considered compliant) according to all NPM evaluated. The CAM had an overall non-compliance level of 73·2 % and was comparable to the CWO 2019 for foods (71·2 % and 71·1 %, respectively). The CAM was the strictest NPM for beverages (80·4 %) due to the criteria of non-sugar sweeteners and free sugars. The SA HNC was the most lenient with non-compliance at 52·9 %. This was largely due to the inclusion of nutrients to encourage, which is a criterion for this NPM. CONCLUSION: For the purpose of discouraging products high in nutrients associated with poor health in SA, the CAM is a suitable NPM. Cambridge University Press 2022-08 2022-02-16 /pmc/articles/PMC9378746/ /pubmed/35168688 http://dx.doi.org/10.1017/S1368980022000374 Text en © The Authors 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Frank, Tamryn Ng, Shu Wen Miles, Donna R Swart, Elizabeth C Applying and comparing various nutrient profiling models against the packaged food supply in South Africa |
title | Applying and comparing various nutrient profiling models against the packaged food supply in South Africa |
title_full | Applying and comparing various nutrient profiling models against the packaged food supply in South Africa |
title_fullStr | Applying and comparing various nutrient profiling models against the packaged food supply in South Africa |
title_full_unstemmed | Applying and comparing various nutrient profiling models against the packaged food supply in South Africa |
title_short | Applying and comparing various nutrient profiling models against the packaged food supply in South Africa |
title_sort | applying and comparing various nutrient profiling models against the packaged food supply in south africa |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378746/ https://www.ncbi.nlm.nih.gov/pubmed/35168688 http://dx.doi.org/10.1017/S1368980022000374 |
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