Identifying healthy food and beverages in food retail store point-of-sale systems: a feasibility and validity study
Alternative methods to the expert-informed process examined in this study should be considered to classify food and beverages in remote food retail point-of-sale systems. The Thumbs Rating provides a valid classification system and would provide an automated means of classification that could be linked to point-of-sale systems. A shift in classification for a small proportion of products, would need to be considered in applying the Thumbs Rating system to remote food retail interventions, or additional criteria overlaying the system could be implemented to meet specific criteria for targeted strategies.
Authors
- Megan Ferguson (ORCID: https://orcid.org/0000-0002-4435-0948)
- Emma McMahon (ORCID: https://orcid.org/0000-0001-5790-4631)
- Julie Kay Brimblecombe (ORCID: https://orcid.org/0000-0002-1977-276X)
- Ellie Chan
Institutions
- The University of Queensland (AU)
- Charles Darwin University (AU)
- Menzies School of Health Research (AU)
- Monash University (AU)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1186/s12889-025-22116-5
- Primary Topic
- Consumer Attitudes and Food Labeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Health and Medical Research Council