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The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach

Author

Listed:
  • Hafsa Toujgani

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Joséphine Brunin

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Elie Perraud

    (PNCA (UMR 0914) - Physiologie de la Nutrition et du Comportement Alimentaire - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Benjamin Allès

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Mathilde Touvier

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Denis Lairon

    (C2VN - Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research - AMU - Aix Marseille Université - INSERM - Institut National de la Santé et de la Recherche Médicale - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • François Mariotti

    (PNCA (UMR 0914) - Physiologie de la Nutrition et du Comportement Alimentaire - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Philippe Pointereau

    (Solagro - Association Solagro)

  • Julia Baudry

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Emmanuelle Kesse-Guyot

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Animal production is responsible for 56-58% of the GHG emissions and limiting meat consumption would strongly contribute to reducing human health risks in Western countries. This study aimed to investigate the nature of protein intake as a discriminating factor for diets' sustainability. Using data from 29,210 French adults involved in the NutriNet-Sante cohort, we identified clusters according to 23 protein sources. A multicriteria (environmental, economic, nutritional and health) sustainability analysis was then conducted on the identified clusters. The economic analysis focused on both food and protein expenditure structures, using a budget coefficient approach. Relative values of clusters compared to the whole sample were calculated. We identified five clusters: milk-based, meat-based, fast food-based, healthy-fish-based, and healthy-plant-based. We found that the healthy-plant-based and healthy-fish-based clusters were the most sustainable, conciliating the compromise between human health (0.25 and 0.53 respectively for the Health Risk Score) and the protection of the environment (- 62% and - 19% respectively for the pReCiPe indicator). Conversely, the highest environmental impacts (+ 33% for the pReCiPe indicator) and the highest health risk (0.95 for the HRS) were observed for the meat-based cluster, which was associated with the lowest nutritional scores (- 61% for the PNNS-GS2 score). The economic analysis showed that the healthy-plant-based cluster was the one with the highest food budget coefficient (+ 46%), followed by the healthy-fish-based cluster (+ 8%), partly explained by a strong share of organic food in the diet. However, the meat-based cluster spent more of their food budget on their protein intake (+ 13%), while the healthy-plant-based cluster exhibited the lowest expenditure for this intake (- 41%). Our results demonstrate that the nature of protein intake is a discriminating factor in diet sustainability. Also, reducing animal protein consumption would generate co-benefits beyond environmental impacts, by being favorable for health, while reducing the monetary cost associated with protein intake.

Suggested Citation

  • Hafsa Toujgani & Joséphine Brunin & Elie Perraud & Benjamin Allès & Mathilde Touvier & Denis Lairon & François Mariotti & Philippe Pointereau & Julia Baudry & Emmanuelle Kesse-Guyot, 2023. "The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach," Post-Print hal-04350853, HAL.
  • Handle: RePEc:hal:journl:hal-04350853
    DOI: 10.1038/s41598-023-44872-3
    Note: View the original document on HAL open archive server: https://hal.science/hal-04350853
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    1. Johan Rockström & Will Steffen & Kevin Noone & Åsa Persson & F. Stuart Chapin & Eric F. Lambin & Timothy M. Lenton & Marten Scheffer & Carl Folke & Hans Joachim Schellnhuber & Björn Nykvist & Cynthia , 2009. "A safe operating space for humanity," Nature, Nature, vol. 461(7263), pages 472-475, September.
    2. Anne-Claire Vergnaud & Mathilde Touvier & Caroline Méjean & Emmanuelle Kesse-Guyot & Clothilde Pollet & Aurélie Malon & Katia Castetbon & Serge Hercberg, 2011. "Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Santé study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(4), pages 407-417, August.
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