Food Compass is a nutrient profiling system using expanded characteristics for assessing healthfulness of foods

Lyla

1. GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1223–1249 (2020). 2. Herforth, A. et al. A global review of food-based dietary guidelines. Adv. Nutr. 10, 590–605 (2019). […]

  • 1.

    GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1223–1249 (2020).

  • 2.

    Herforth, A. et al. A global review of food-based dietary guidelines. Adv. Nutr. 10, 590–605 (2019).

    Article 

    Google Scholar
     

  • 3.

    Nutrient Profiling: Report of a Technical Meeting (World Health Organization, 2010); http://www.who.int/nutrition/publications/profiling/WHO_IASO_report2010/en/

  • 4.

    Labonte, M. E. et al. Nutrient profile models with applications in government-led nutrition policies aimed at health promotion and noncommunicable disease prevention: a systematic review. Adv. Nutr. 9, 741–788 (2018).

    Article 

    Google Scholar
     

  • 5.

    El-Abbadi, N. H., Taylor, S. F., Micha, R. & Blumberg, J. B. Nutrient profiling systems, front of pack labeling, and consumer behavior. Curr. Atheroscler. Rep. 22, 36 (2020).

    Article 

    Google Scholar
     

  • 6.

    Lim, J. H., Rishika, R., Janakiraman, R. & Kannan, P. K. Competitive effects of front-of-package nutrition labeling adoption on nutritional quality: evidence from facts up front–style labels. J. Mark. 84, 3–21 (2020).

    Article 

    Google Scholar
     

  • 7.

    Dreano-Trecant, L. et al. Performance of the front-of-pack nutrition label Nutri-Score to discriminate the nutritional quality of foods products: a comparative study across 8 European countries. Nutrients https://doi.org/10.3390/nu12051303 (2020).

  • 8.

    McColl, K., Lobstein, T. & Brinsden, H. Nutrient profiling could be used to transform food systems and support health-promoting food policies. Public Health Panor. 3, 586–597 (2017).


    Google Scholar
     

  • 9.

    Pomeranz, J., Mozaffarian, D. & Micha, R. Mandating front-of-package food labels in the U.S.—what are the First Amendment obstacles?. Food Policy 86, 101722 (2019).

    Article 

    Google Scholar
     

  • 10.

    Monteiro, C. A. et al. Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 22, 936–941 (2019).

    Article 

    Google Scholar
     

  • 11.

    Nutrient Profiling (World Health Organization, 2010); https://www.who.int/nutrition/topics/profiling/en/

  • 12.

    Nutrition Labelling: Who is For and Against a Harmonised EU-Wide Approach? (Food Navigator, 2020); https://www.foodnavigator.com/Article/2020/12/07/Nutrition-labelling-Who-is-for-and-against-a-harmonised-EU-wide-approach

  • 13.

    Arambepola, C., Scarborough, P. & Rayner, M. Validating a nutrient profile model. Public Health Nutr. 11, 371–378 (2008).

    Article 

    Google Scholar
     

  • 14.

    Townsend, M. S. Where is the science? What will it take to show that nutrient profiling systems work? Am. J. Clin. Nutr. 91, 1109S–1115S (2010).

    CAS 
    Article 

    Google Scholar
     

  • 15.

    Labonte, M. E. et al. Comparison of global nutrient profiling systems for restricting the commercial marketing of foods and beverages of low nutritional quality to children in Canada. Am. J. Clin. Nutr. 106, 1471–1481 (2017).

    CAS 
    Article 

    Google Scholar
     

  • 16.

    Contreras-Manzano, A. et al. Comparative analysis of the classification of food products in the Mexican market according to seven different nutrient profiling systems. Nutrients https://doi.org/10.3390/nu10060737 (2018).

  • 17.

    Poon, T. et al. Comparison of nutrient profiling models for assessing the nutritional quality of foods: a validation study. Br. J. Nutr. 120, 567–582 (2018).

    CAS 
    Article 

    Google Scholar
     

  • 18.

    Micha, R. et al. Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE). PLoS ONE 12, e0175149 (2017).

    Article 

    Google Scholar
     

  • 19.

    2015-2020 Dietary Guidelines for Americans 8th edn (USDHHS, USDA, 2017); https://health.gov/dietaryguidelines/2015/

  • 20.

    Comprehensive Implementation Plan on Maternal, Infant, and Young Child Nutrition (World Health Organization, 2019); https://apps.who.int/iris/bitstream/handle/10665/113048/WHO_NMH_NHD_14.1_eng.pdf?ua=1

  • 21.

    Elizabeth, L., Machado, P., Zinocker, M., Baker, P. & Lawrence, M. Ultra-processed foods and health outcomes: a narrative review. Nutrients https://doi.org/10.3390/nu12071955 (2020).

  • 22.

    WCRF/AICR Systematic Literature Review Continuous Update Project Report: The Associations between Food, Nutrition and Physical Activity and the Risk of Colorectal Cancer (World Cancer Research Fund/American Institute for Cancer Research, 2011); https://www.dietandcancerreport.org/cancer_resource_center/downloads/cu/Colorectal%20cancer%20CUP%20report%20Oct%202010.pdf

  • 23.

    Scientific Report of the 2015 Dietary Guidelines Advisory Committee (Dietary Guidelines Advisory Committee, 2015); http://www.health.gov/dietaryguidelines/2015-scientific-report/

  • 24.

    Gibney, M. J. Ultra-processed foods: definitions and policy issues. Curr. Dev. Nutr. 3, nzy077 (2019).

    CAS 
    Article 

    Google Scholar
     

  • 25.

    Julia, C. et al. Prospective associations between a dietary index based on the British Food Standard Agency nutrient profiling system and 13-year weight gain in the SU.VI.MAX cohort. Prev. Med. 81, 189–194 (2015).

    Article 

    Google Scholar
     

  • 26.

    Julia, C. et al. The nutrient profile of foods consumed using the British Food Standards Agency nutrient profiling system is associated with metabolic syndrome in the SU.VI.MAX cohort. J. Nutr. 145, 2355–2361 (2015).

    CAS 
    Article 

    Google Scholar
     

  • 27.

    Adriouch, S. et al. Association between a dietary quality index based on the Food Standard Agency nutrient profiling system and cardiovascular disease risk among French adults. Int. J. Cardiol. 234, 22–27 (2017).

    Article 

    Google Scholar
     

  • 28.

    Deschasaux, M. et al. Nutritional quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: results from the EPIC prospective cohort study. PLoS Med. 15, e1002651 (2018).

    Article 

    Google Scholar
     

  • 29.

    Andrianasolo, R. M. et al. Association between an individual dietary index based on the British Food Standard Agency Nutrient Profiling System and asthma symptoms. Br. J. Nutr. 122, 63–70 (2019).

    CAS 
    Article 

    Google Scholar
     

  • 30.

    Pan, X. F. et al. Seventeen-year associations between diet quality defined by the Health Star Rating and mortality in Australians: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Curr. Dev. Nutr. 4, nzaa157 (2020).

    Article 

    Google Scholar
     

  • 31.

    Gomez-Donoso, C. et al. Association between the nutrient profile system underpinning the Nutri-Score front-of-pack nutrition label and mortality in the SUN project: a prospective cohort study. Clin. Nutr. 40, 1085–1094 (2021).

    CAS 
    Article 

    Google Scholar
     

  • 32.

    Health Star Rating System: Five Year Review Report (mpconsulting, 2019); http://www.healthstarrating.gov.au/internet/healthstarrating/publishing.nsf/Content/D1562AA78A574853CA2581BD00828751/$File/Health-Star-Rating-System-Five-Year-Review-Draft-Report.pdf

  • 33.

    What We Eat in America, NHANES 2015–2016 (USDA, 2020); www.ars.usda.gov/nea/bhnrc/fsrg

  • 34.

    European Food Safety Authority. The food classification and description system FoodEx 2 (revision 2). EFSA Support. Publ. 12, 804E (2015).


    Google Scholar
     

  • 35.

    Neal, B., Sacks, G., Shahid, M., Taylor, F. & Huffman, M. FoodSwitch: State of the Food Supply (George Institute, 2019); www.georgeinstitute.org

  • 36.

    Classification of Individual Consumption According to Purpose (COICOP) (UN DESA Secretariat & Statistics Division, 2018); http://unstats.un.org/unsd/classifications

  • 37.

    Mozaffarian, D. Dietary and policy priorities for cardiovascular disease, diabetes, and obesity: a comprehensive review. Circulation 133, 187–225 (2016).

    CAS 
    Article 

    Google Scholar
     

  • 38.

    Global Index 2018 (Access to Nutrition Initiative, 2018); https://accesstonutrition.org/index/global-index-2018/

  • 39.

    Chantal, J. & Hercberg, S. World Health Organization, Regional Office for Europe. Development of a new front-of-pack nutrition label in France: the five-colour Nutri-Score. Public Health Panor. 3, 712–725 (2017).


    Google Scholar
     

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