Alignment between greenhouse gas emissions reduction and adherence the EAT-Lancet diet: A modeling study based on the NutriNet-Santé cohort.

Diet Greenhouse gas emissions Healthy diet Mitigation Optimization Sustainable diet

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
12 Aug 2024
Historique:
received: 26 04 2024
revised: 09 08 2024
accepted: 10 08 2024
medline: 15 8 2024
pubmed: 15 8 2024
entrez: 14 8 2024
Statut: aheadofprint

Résumé

The potential of the EAT-Lancet reference diet, which promotes a healthy diet within planetary limits, to reduce greenhouse gas emissions (GHGe) remains understudied. This study examines the role of nutritional and acceptability constraints in reducing GHGe through diet optimization, and tests the alignment between GHGe reduction and the EAT-Lancet score. The study used data from 29,413 NutriNet-Santé participants to model French diets and evaluate their environmental, nutritional, economic, and health impact. The Organic Food Frequency Questionnaire was used to assess organic and conventional food consumed, and the Dialecte database was used to estimate the diet environmental impacts. Quality of diets were also evaluated based using the PNNS-GS2 (Programme National Nutrition-Santé 2 guidelines score). When testing minimizing GHGe under strict nutritional and acceptability constraints, it was possible to reduce GHGe up to 67 % (from 4.34 in the observed diet to GHGe = 1.45 kgeqCO2/d) while improving the EAT score by 103 % with 91 % of the food as organic. Greater reductions required relaxation of some constraints. When testing maximizing EAT score under gradual reduction in GHGe, the adherence to the EAT-Lancet diet was not significantly affected by the gradual reduction in GHGe. To maximize EAT score with 75 % reduction in GHGe (1.09 kgeqCO2/d), less strict constraints on the bioavailability of iron and zinc are necessary. The EAT score improved by 141 %, while land occupation decreased by 57 %, compared to the observed value. The diet contained 94 % of organic foods. There was some alignment between the degree of adherence to the EAT-Lancet diet and the reduction in GHGe, but other diets may also lead to a strong reduction in GHGe. Thus, GHGe can be greatly reduced by dietary choices, but require profound reshaping of diets which must be coupled with changes in other areas of the food chain.

Identifiants

pubmed: 39142409
pii: S0048-9697(24)05620-1
doi: 10.1016/j.scitotenv.2024.175470
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

175470

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Emmanuelle Kesse-Guyot (E)

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris Cité (CRESS), 93017 Bobigny, France. Electronic address: emmanuelle.kesse-guyot@inrae.fr.

Florine Berthy (F)

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris Cité (CRESS), 93017 Bobigny, France.

Justine Berlivet (J)

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris Cité (CRESS), 93017 Bobigny, France.

Elie Perraud (E)

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris Cité (CRESS), 93017 Bobigny, France.

Mathilde Touvier (M)

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris Cité (CRESS), 93017 Bobigny, France.

Serge Hercberg (S)

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris Cité (CRESS), 93017 Bobigny, France; Département de Santé Publique, Hôpital Avicenne, 93017 Bobigny, France.

Benjamin Allès (B)

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris Cité (CRESS), 93017 Bobigny, France.

Denis Lairon (D)

Aix Marseille Université, Inserm, INRAE, C2VN, 13005 Marseille, France.

François Mariotti (F)

Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France.

Christian Couturier (C)

Département de Santé Publique, Hôpital Avicenne, 93017 Bobigny, France.

Hélène Fouillet (H)

Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France.

Philippe Pointereau (P)

Solagro, 75, Voie TOEC, CS 27608, F-31076 Toulouse, Cedex 3, France.

Julia Baudry (J)

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris Cité (CRESS), 93017 Bobigny, France.

Classifications MeSH