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The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587119/ https://www.ncbi.nlm.nih.gov/pubmed/37857699 http://dx.doi.org/10.1038/s41598-023-44872-3 |
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author | Toujgani, Hafsa Brunin, Joséphine Perraud, Elie Allès, Benjamin Touvier, Mathilde Lairon, Denis Mariotti, François Pointereau, Philippe Baudry, Julia Kesse-Guyot, Emmanuelle |
author_facet | Toujgani, Hafsa Brunin, Joséphine Perraud, Elie Allès, Benjamin Touvier, Mathilde Lairon, Denis Mariotti, François Pointereau, Philippe Baudry, Julia Kesse-Guyot, Emmanuelle |
author_sort | Toujgani, Hafsa |
collection | PubMed |
description | 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-Santé 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. |
format | Online Article Text |
id | pubmed-10587119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105871192023-10-21 The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach Toujgani, Hafsa Brunin, Joséphine Perraud, Elie Allès, Benjamin Touvier, Mathilde Lairon, Denis Mariotti, François Pointereau, Philippe Baudry, Julia Kesse-Guyot, Emmanuelle Sci Rep Article 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-Santé 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. Nature Publishing Group UK 2023-10-19 /pmc/articles/PMC10587119/ /pubmed/37857699 http://dx.doi.org/10.1038/s41598-023-44872-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Toujgani, Hafsa Brunin, Joséphine Perraud, Elie Allès, Benjamin Touvier, Mathilde Lairon, Denis Mariotti, François Pointereau, Philippe Baudry, Julia Kesse-Guyot, Emmanuelle The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach |
title | The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach |
title_full | The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach |
title_fullStr | The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach |
title_full_unstemmed | The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach |
title_short | The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach |
title_sort | nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587119/ https://www.ncbi.nlm.nih.gov/pubmed/37857699 http://dx.doi.org/10.1038/s41598-023-44872-3 |
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