Bernstein JT, Christoforou AK, Ng AP, Weippert M, Mulligan C, Flexner N, L’Abbe MR. Canadian Free Sugar Intake and Modelling of a Reformulation Scenario. Foods. 2023 Apr 25;12(9):1771. doi: 10.3390/foods12091771. PMID: 37174309; PMCID: PMC10178368. View Online.
Archives
Estimating Canadian sodium intakes and the health impact of meeting national and WHO recommended sodium intake levels
Flexner N, Christoforou AK, Bernstein JT, Ng AP, Yang Y, Fernandes Nilson EA, Labonté MÈ, L’Abbe MR. Estimating Canadian sodium intakes and the health impact of meeting national and WHO recommended sodium intake levels: A macrosimulation modelling study. PLoS One. 2023 May 10;18(5):e0284733. doi: 10.1371/journal.pone.0284733. PMID: 37163471; PMCID: PMC10171671. View Online.
Child-appealing packaged food and beverage products in Canada-Prevalence, power, and nutritional quality
Mulligan C, Vergeer L, Kent MP, L’Abbé MR. Child-appealing packaged food and beverage products in Canada-Prevalence, power, and nutritional quality. PLoS One. 2023 May 3;18(5):e0284350. doi: 10.1371/journal.pone.0284350. PMID: 37134046; PMCID: PMC10156002. View Online.
Adherence to a priori dietary patterns in relation to obesity: results from two cycles of the Canadian National Nutrition Survey
Ng AP, Jessri M, L’Abbé MR. Adherence to a priori dietary patterns in relation to obesity: results from two cycles of the Canadian National Nutrition Survey. Public Health Nutr. 2023 May 2:1-13. doi: 10.1017/S1368980023000903. Epub ahead of print. PMID: 37129093. View Online.
How Many Diet-Related Non-Communicable Disease Deaths Could Be Averted or Delayed If Canadians Reduced Their Consumption of Calories Derived from Free Sugars Intake?
Flexner N, Bernstein JT, Weippert MV, Labonté MÈ, Christoforou AK, Ng AP, L’Abbe MR. How Many Diet-Related Non-Communicable Disease Deaths Could Be Averted or Delayed If Canadians Reduced Their Consumption of Calories Derived from Free Sugars Intake? A Macrosimulation Modeling Study. Nutrients. 2023 Apr 11;15(8):1835. doi: 10.3390/nu15081835. PMID: 37111054; PMCID: PMC10140857. View Online.
Qualitative analysis of front-of package labeling policy interactions between stakeholders and Health Canada
Jawad A, Mulligan C, Savona N, L’Abbé MR. Qualitative analysis of front-of package labeling policy interactions between stakeholders and Health Canada. Front Public Health. 2023 Apr 6;11:982908. doi: 10.3389/fpubh.2023.982908. PMID: 37089483; PMCID: PMC10115994. 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.
Differences in child and adolescent exposure to unhealthy food and beverage advertising on television in a self-regulatory environment
Potvin Kent M, Soares Guimaraes J, Pritchard M, Remedios L, Pauzé E, L’Abbé M, Mulligan C, Vergeer L, Weippert M. Differences in child and adolescent exposure to unhealthy food and beverage advertising on television in a self-regulatory environment. BMC Public Health. 2023 Mar 23;23(1):555. doi: 10.1186/s12889-023-15027-w. PMID: 36959572; PMCID: PMC10037770. View Online.
Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages.
Bernstein JT, Christoforou AK, Flexner N, L’Abbe MR. Comparing the nutritional composition of foods and beverages in the Canadian Nutrient File to a large representative database of Canadian prepackaged foods and beverages. PLoS One. 2023 Mar 13;18(3):e0280028. doi: 10.1371/journal.pone.0280028. PMID: 36913344; PMCID: PMC10010505. 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.