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Modelling the impact of different front-of-package nutrition labels on mortality from non-communicable chronic disease

Author

Listed:
  • Manon Egnell

    (CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale, CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle - UP13 - Université Paris 13 - INRA - Institut National de la Recherche Agronomique - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale)

  • Paolo Crosetto

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], INRA - Institut National de la Recherche Agronomique)

  • Tania D’almeida

    (CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle - UP13 - Université Paris 13 - INRA - Institut National de la Recherche Agronomique - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale, CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale)

  • Emmanuelle Kesse-Guyot

    (CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle - UP13 - Université Paris 13 - INRA - Institut National de la Recherche Agronomique - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale, CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale)

  • Mathilde Touvier

    (CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle - UP13 - Université Paris 13 - INRA - Institut National de la Recherche Agronomique - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale, CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale)

  • Bernard Ruffieux

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology)

  • Serge Hercberg

    (CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle - UP13 - Université Paris 13 - INRA - Institut National de la Recherche Agronomique - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale, CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale, Hôpital Avicenne [AP-HP] - AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP))

  • Laurent Muller

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], INRA - Institut National de la Recherche Agronomique)

  • Chantal Julia

    (CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle - UP13 - Université Paris 13 - INRA - Institut National de la Recherche Agronomique - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale, CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale)

Abstract

Background: Front-of-Package nutrition labels (FoPLs) are intended to help reduce the incidence of nutrition-related non-communicable diseases through an improvement in diet quality. FoPLs have been shown to improve the nutritional quality of purchases and have been associated with improved diet quality, which is in turn associated with reduced risk of non-communicable diseases. However, the potential impact of FoPLs on reducing mortality from chronic diseases has never been estimated. Methods: Data from a laboratory experimental economics test were used to investigate the effects of five different FoPLs (Nutri-Score, Health Star Rating system, Multiple Traffic lights, Reference intakes and SENS (Système d'Etiquetage Nutritionnel Simplifié)) on the nutritional quality of household purchases. The relative differences in nutrient content and composition of food purchases were then applied to dietary intakes using data from an observational study, thus yielding estimates for ‘reference' and ‘labelled' diets. A macro-simulation study using the PRIME model was then conducted to estimate the impact of the modification in dietary intake as a result of FoPL use on mortality from diet-related non-communicable diseases. Results: The use of FoPLs led to a substantial reduction in mortality from chronic diseases. Approximately 3.4% of all deaths from diet-related non-communicable diseases was estimated to be avoidable when the Nutri-Score FoPL was used. The remaining FoPLs likewise resulted in mortality reduction, although to a lesser extent: Health Star Rating system (2.8%), Reference Intakes (1.9%), Multiple Traffic Lights (1.6%), and SENS (1.1%). Conclusions: FoPLs have the potential to help decrease mortality from diet-related non-communicable diseases, and the Nutri-Score appears to be the most efficient among the five formats tested.

Suggested Citation

  • Manon Egnell & Paolo Crosetto & Tania D’almeida & Emmanuelle Kesse-Guyot & Mathilde Touvier & Bernard Ruffieux & Serge Hercberg & Laurent Muller & Chantal Julia, 2019. "Modelling the impact of different front-of-package nutrition labels on mortality from non-communicable chronic disease," Post-Print hal-02190212, HAL.
  • Handle: RePEc:hal:journl:hal-02190212
    DOI: 10.1186/s12966-019-0817-2
    Note: View the original document on HAL open archive server: https://hal.science/hal-02190212
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    References listed on IDEAS

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    1. Crosetto, P. & Lacroix, A. & Muller, L. & Ruffieux, B., 2018. "Nutritional and economic impact of 5 alternative front-of-pack nutritional labels: experimental evidence," Working Papers 2018-11, Grenoble Applied Economics Laboratory (GAEL).
    2. Paolo Crosetto & Laurent Muller & Bernard Ruffieux, 2017. "Modification des achats alimentaires en réponse à cinq logos nutritionnels. Projet LABEL4 [Communiqué de presse]," Post-Print hal-02163501, HAL.
    3. Balcombe, Kelvin & Fraser, Iain & Falco, Salvatore Di, 2010. "Traffic lights and food choice: A choice experiment examining the relationship between nutritional food labels and price," Food Policy, Elsevier, vol. 35(3), pages 211-220, June.
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    1. Pierre Dubois & Paulo Albuquerque & Olivier Allais & Céline Bonnet & Patrice Bertail & Pierre Combris & Saadi Lahlou & Natalie Rigal & Bernard Ruffieux & Pierre Chandon, 2021. "Effects of front-of-pack labels on the nutritional quality of supermarket food purchases: evidence from a large-scale randomized controlled trial," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 119-138, January.
    2. Céline Bonnet & Marine Coinon, 2024. "Environmental co-benefits of health policies to reduce meat consumption: A narrative review," Post-Print hal-04512427, HAL.
    3. Bonnet, Céline & Coinon, Marine, 2024. "Environmental co-benefits of health policies to reduce meat consumption: A narrative review," Health Policy, Elsevier, vol. 143(C).
    4. N. Gokani, 2024. "Healthier Food Choices: From Consumer Information to Consumer Empowerment in EU Law," Journal of Consumer Policy, Springer, vol. 47(2), pages 271-296, June.

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