ArticleFrontiers in nutrition2021
Development of the Food Label Information Program: A Comprehensive Canadian Branded Food Composition Database.
Article in Frontiers in nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Leveraging large language models to maintain a branded food product database.NPJ science of food · 2026Article
- Sodium in Canadian processed foods between 2010 and 2020: implications for future sodium reduction initiatives.Public health nutrition · 2026Article
- A Methodological Framework for Aggregating Branded Food Composition Data in mHealth Nutrition Databases: A Case Presentation.Nutrients · 2026Article
- [Monitoring of sodium content and compliance with national targets for prepackaged foods, Costa Rica, 2015-2022Monitoramento do teor de sódio e conformidade com as metas nacionais para alimentos embalados, Costa Rica, 2015-2022].Revista panamericana de salud publica = Pan American journal of public health · 2026Article
- Using artificial intelligence and computer vision to detect and monitor unhealthy child-directed food and beverage marketing: a data-driven study.EClinicalMedicine · 2025Article
- A cross-sectional analysis of the nutritional quality and prices of commercial infant and toddler food products in the Canadian food supply.Paediatrics & child health · 2025Article
- Article
- Examining the role of industry lobbying on Canadian front-of-pack labelling regulations.Canadian journal of public health = Revue canadienne de sante publique · 2025Article
- Healthy Kai (Food) Checker Web-Based Tool to Support Healthy Food Policy Implementation: Development and Usability Study.JMIR formative research · 2025Article
- The healthfulness of major food brands according to Health Canada's nutrient profile model for proposed restrictions on food marketing to children.Public health nutrition · 2025Article
- Monitoring sodium content in packaged foods sold in the Americas and compliance with the updated regional sodium reduction targets.PloS one · 2025Article
- Assessing nutritional composition and ingredients of packaged foods in Brazil: an in-store census method for creating a comprehensive food label database.Frontiers in nutrition · 2025Article
- Sodium content in packaged foods and beverages in Argentina in 2024 and policy implications.Revista panamericana de salud publica = Pan American journal of public health · 2025Article
- Investigating reformulation in the Canadian food supply between 2017 and 2020 and its impact on food prices.Public health nutrition · 2024Article
- Evaluating the application of front-of-package labelling regulations to menu labelling in the Canadian restaurant sector using menu food label information and price (Menu-FLIP) 2020 data.Public health nutrition · 2024Article
- Comparing Canada's 2018 proposed and 2022 final front-of-pack labelling regulations using generic food composition data and a nationally representative dietary intake survey.Public health nutrition · 2024Article
- Monitoring sodium content in processed and ultraprocessed foods in Argentina 2022: compliance with National Legislation and Regional Targets.Public health nutrition · 2024Observational
- Accelerating the Classification of NOVA Food Processing Levels Using a Fine-Tuned Language Model: A Multi-Country Study.Nutrients · 2023Article
- Food Composition Databases (FCDBs): A Bibliometric Analysis.Nutrients · 2023Article
- Advancing sustainability in the food and nutrition system: a review of artificial intelligence applications.Frontiers in nutrition · 2023Review
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Authors and funding
6 authors.
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Abstract
objectivesTraditional methods for creating food composition databases struggle to cope with the large number of products and the rapid pace of turnover in the food supply. This paper introduces Food Label Information Program (FLIP), a big data approach to the evaluation of the Canadian food supply and presents the latest methods used in the development of this database.
methodsThe Food Label Information Program (FLIP) is a database of Canadian food and beverage package labels by brand name. The latest iteration of the FLIP, FLIP 2020, was developed using website "scraping" to collect food labeling information (e.g., nutritional composition, price, product images, ingredients, brand, etc.) on all foods and beverages available on seven major Canadian e-grocery retailer websites between May 2020 and February 2021.
resultsThe University of Toronto's Food Label Information Program (FLIP) 2020 was developed in three phases: Phase 1, database development and enhancements; Phase 2, data capture and management of food products and nutrition information; Phase 3, data processing and food categorizing. A total of 74,445 products available on websites of seven retailers and 2 location-specific duplicate retailers were collected for FLIP 2020. Of 57,006 food and beverage products available on seven retailers, nutritional composition data were available for about 60% of the products and ingredients were available for about 45%. Data for energy, protein, carbohydrate, fat, sugar, sodium and saturated fat were present for 54-65% of the products, while fiber information was available for 37%. Food products were classified under multiple categorization systems, including Health Canada's Table of Reference Amounts, Health Canada's sodium categories for guiding benchmark sodium levels, sugar-focused categories and categories specific to various global nutrient profiling models.
conclusionsFLIP is a powerful tool for evaluating and monitoring the Canadian food supply environment. The comprehensive sampling and granularity of collection provides power for revealing analyses of the relationship between nutritional quality and marketing of branded foods, timely observation of product reformulation and other changes to the Canadian food supply.
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