ArticleThe British journal of nutrition2023
Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods.
Article in The British journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Identifying healthy food and beverages in food retail store point-of-sale systems: a feasibility and validity study.BMC public health · 2025Article
- Integrating point-of-care diabetes detection with lifestyle counselling in community settings: outcomes from Western Sydney, Australia.BMC health services research · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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
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