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The estimated dietary and health impact of implementing the recently approved ‘high in’ front-of-package nutrition symbol in Canada: a food substitution scenario modeling study

Flexner N, Ahmed M, Mulligan C, Bernstein JT, Christoforou AK, Lee JJ, Khandpur N, L’Abbe MR. The estimated dietary and health impact of implementing the recently approved ‘high in’ front-of-package nutrition symbol in Canada: a food substitution scenario modeling study. Front Nutr. 2023 Aug 7;10:1158498. doi: 10.3389/fnut.2023.1158498. PMID: 37614744; PMCID: PMC10443708. View Online.

Examining the diet quality of Canadian adults and the alignment of Canadian front-of-pack labelling regulations with other front-of-pack labelling systems and dietary guidelines

Lee JJ, Ahmed M, Julia C, Ng AP, Paper L, Lou WY, L’Abbé MR. Examining the diet quality of Canadian adults and the alignment of Canadian front-of-pack labelling regulations with other front-of-pack labelling systems and dietary guidelines. Front Public Health. 2023 Jun 23;11:1168745. doi: 10.3389/fpubh.2023.1168745. PMID: 37427256; PMCID: PMC10326271. View Online.

Nutrient intakes and top food categories contributing to intakes of energy and nutrients-of-concern consumed by Canadian adults that would require a ‘high-in’ front-of-pack symbol according to Canadian labelling regulations

Lee JJ, Ahmed M, Ng AP, Mulligan C, Flexner N, L’Abbé MR. Nutrient intakes and top food categories contributing to intakes of energy and nutrients-of-concern consumed by Canadian adults that would require a ‘high-in’ front-of-pack symbol according to Canadian labelling regulations. PLoS One. 2023 May 18;18(5):e0285095. doi: 10.1371/journal.pone.0285095. PMID: 37200252; PMCID: PMC10194982. View Online.

Estimating the dietary and health impact of implementing front-of-pack nutrition labeling in Canada: A macrosimulation modeling study

Flexner N, Ng AP, Ahmed M, Khandpur N, Acton RB, Lee JJ, L’Abbe MR. Estimating the dietary and health impact of implementing front-of-pack nutrition labeling in Canada: A macrosimulation modeling study. Front Nutr. 2023 Mar 17;10:1098231. doi: 10.3389/fnut.2023.1098231. PMID: 37006927; PMCID: PMC10065472. View Online.

Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods

Hu G, Ahmed M, L’Abbé MR. Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods. Am J Clin Nutr. 2023 Mar;117(3):553-563. doi: 10.1016/j.ajcnut.2022.11.022. Epub 2022 Dec 23. PMID: 36872019. View Online.

Evaluating the potential implications of canadian front-of-pack labelling regulations in generic and branded food composition databases

Mulligan C, Lee JJ, Vergeer L, Ahmed M, L’Abbé MR. Evaluating the potential implications of Canadian front-of-pack labelling regulations in generic and branded food composition databases. BMC Public Health. 2022 Oct 6;22(1):1866. doi: 10.1186/s12889-022-14269-4. PMID: 36203128; PMCID: PMC9535871. View Online.