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Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods
The Thumbs food classification system was developed to assist remote Australian communities to identify food healthiness. This study aimed to assess: (1) the Thumbs system’s alignment to two other food classification systems, the Health Star Rating (HSR) and the Northern Territory School Canteens Gu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167659/ https://www.ncbi.nlm.nih.gov/pubmed/36038139 http://dx.doi.org/10.1017/S0007114522002756 |
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author | Chan, Jasmine McMahon, Emma Wycherley, Thomas Howes, Kylie Bidstrup, Graham Brimblecombe, Julie |
author_facet | Chan, Jasmine McMahon, Emma Wycherley, Thomas Howes, Kylie Bidstrup, Graham Brimblecombe, Julie |
author_sort | Chan, Jasmine |
collection | PubMed |
description | The Thumbs food classification system was developed to assist remote Australian communities to identify food healthiness. This study aimed to assess: (1) the Thumbs system’s alignment to two other food classification systems, the Health Star Rating (HSR) and the Northern Territory School Canteens Guidelines (NTSCG); (2) its accuracy in classifying ‘unhealthy’ (contributing to discretionary energy and added sugars) and ‘healthy’ products against HSR and NTSCG; (3) areas for optimisation. Food and beverage products sold between 05/2018 and 05/2019 in fifty-one remote stores were classified in each system. System alignment was assessed by cross-tabulating percentages of products, discretionary energy and added sugars sold assigned to the same healthiness levels across the systems. The system/s capturing the highest percentage of discretionary energy and added sugars sold in ‘unhealthy’ products and the lowest levels in ‘healthy’ products were considered the best performing. Cohen’s κ was used to assess agreement between the Thumbs system and the NTSCG for classifying products as healthy. The Thumbs system classified product healthiness in line with the HSR and NTSCG, with Cohen’s κ showing moderate agreement between the Thumbs system and the NTSCG (κ = 0·60). The Thumbs system captured the most discretionary energy sold (92·2 %) and added sugar sold (90·6 %) in unhealthy products and the least discretionary energy sold (0 %) in healthy products. Modifications to optimise the Thumbs system include aligning several food categories to the NTSCG criteria and addressing core/discretionary classification discrepancies of fruit juice/drinks. The Thumbs system offers a classification algorithm that could strengthen the HSR system. |
format | Online Article Text |
id | pubmed-10167659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101676592023-05-10 Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods Chan, Jasmine McMahon, Emma Wycherley, Thomas Howes, Kylie Bidstrup, Graham Brimblecombe, Julie Br J Nutr Research Article The Thumbs food classification system was developed to assist remote Australian communities to identify food healthiness. This study aimed to assess: (1) the Thumbs system’s alignment to two other food classification systems, the Health Star Rating (HSR) and the Northern Territory School Canteens Guidelines (NTSCG); (2) its accuracy in classifying ‘unhealthy’ (contributing to discretionary energy and added sugars) and ‘healthy’ products against HSR and NTSCG; (3) areas for optimisation. Food and beverage products sold between 05/2018 and 05/2019 in fifty-one remote stores were classified in each system. System alignment was assessed by cross-tabulating percentages of products, discretionary energy and added sugars sold assigned to the same healthiness levels across the systems. The system/s capturing the highest percentage of discretionary energy and added sugars sold in ‘unhealthy’ products and the lowest levels in ‘healthy’ products were considered the best performing. Cohen’s κ was used to assess agreement between the Thumbs system and the NTSCG for classifying products as healthy. The Thumbs system classified product healthiness in line with the HSR and NTSCG, with Cohen’s κ showing moderate agreement between the Thumbs system and the NTSCG (κ = 0·60). The Thumbs system captured the most discretionary energy sold (92·2 %) and added sugar sold (90·6 %) in unhealthy products and the least discretionary energy sold (0 %) in healthy products. Modifications to optimise the Thumbs system include aligning several food categories to the NTSCG criteria and addressing core/discretionary classification discrepancies of fruit juice/drinks. The Thumbs system offers a classification algorithm that could strengthen the HSR system. Cambridge University Press 2023-06-14 2022-08-30 /pmc/articles/PMC10167659/ /pubmed/36038139 http://dx.doi.org/10.1017/S0007114522002756 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Research Article Chan, Jasmine McMahon, Emma Wycherley, Thomas Howes, Kylie Bidstrup, Graham Brimblecombe, Julie Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods |
title | Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods |
title_full | Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods |
title_fullStr | Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods |
title_full_unstemmed | Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods |
title_short | Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods |
title_sort | validation of the thumbs food classification system as a tool to accurately identify the healthiness of foods |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167659/ https://www.ncbi.nlm.nih.gov/pubmed/36038139 http://dx.doi.org/10.1017/S0007114522002756 |
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