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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 10 2023
Historique:
received: 12 04 2023
accepted: 12 10 2023
medline: 23 10 2023
pubmed: 20 10 2023
entrez: 19 10 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37857699
doi: 10.1038/s41598-023-44872-3
pii: 10.1038/s41598-023-44872-3
pmc: PMC10587119
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

17850

Informations de copyright

© 2023. Springer Nature Limited.

Références

Proc Natl Acad Sci U S A. 2019 Nov 12;116(46):23357-23362
pubmed: 31659030
Science. 2015 Feb 13;347(6223):1259855
pubmed: 25592418
Am J Clin Nutr. 2010 Aug;92(2):398-407
pubmed: 20592131
BMC Public Health. 2010 May 11;10:242
pubmed: 20459807
Lancet. 2020 Oct 17;396(10258):1223-1249
pubmed: 33069327
J Nutr. 2019 Mar 1;149(3):488-496
pubmed: 30629199
Rev Sci Tech. 2018 Apr;37(1):47-55
pubmed: 30209430
Public Health Nutr. 2017 Jun;20(9):1699-1709
pubmed: 28318463
Nutr Rev. 2015 Oct;73(10):643-60
pubmed: 26307238
Eur J Clin Nutr. 2015 Sep;69(9):1060-5
pubmed: 25969395
J Am Coll Dent. 2014 Summer;81(3):14-8
pubmed: 25951678
Int J Public Health. 2011 Aug;56(4):407-17
pubmed: 21538094
Br J Nutr. 2016 Aug;116(4):700-9
pubmed: 27311793
Sci Total Environ. 2023 Jan 15;856(Pt 1):159052
pubmed: 36179832
Appl Physiol Nutr Metab. 2021 May;46(5):501-510
pubmed: 33216633
Nat Food. 2021 Sep;2(9):724-732
pubmed: 37117472
Soc Hist Med. 2019 Nov 04;34(2):553-576
pubmed: 34084092
Nutrients. 2017 Jan 12;9(1):
pubmed: 28085096
Nutr Res. 2016 May;36(5):464-77
pubmed: 27101764
Nutrients. 2017 Sep 06;9(9):
pubmed: 28878172
PLoS One. 2016 Nov 3;11(11):e0165797
pubmed: 27812156
Nutrients. 2021 Dec 23;14(1):
pubmed: 35010904
Foods. 2022 Jul 12;11(14):
pubmed: 35885304
Adv Nutr. 2019 Sep 1;10(5):755-764
pubmed: 31066877
Lancet Planet Health. 2018 Oct;2(10):e451-e461
pubmed: 30318102
Nutrients. 2019 Nov 04;11(11):
pubmed: 31690027
Adv Nutr. 2015 Jan 15;6(1):19-36
pubmed: 25593141
Br J Nutr. 2021 Jun 28;125(12):1405-1415
pubmed: 32943123
PLoS One. 2012;7(8):e42155
pubmed: 22870293
Nutrition. 2021 Apr;84:111107
pubmed: 33454528
Glob Chang Biol. 2013 Aug;19(8):2285-302
pubmed: 23505220
Nature. 2009 Sep 24;461(7263):472-5
pubmed: 19779433
Science. 2018 Jun 1;360(6392):987-992
pubmed: 29853680
Front Nutr. 2018 Feb 09;5:8
pubmed: 29479530
Am J Epidemiol. 2016 Apr 15;183(8):715-28
pubmed: 27022032
JMIR Public Health Surveill. 2016 Oct 18;2(2):e160
pubmed: 27756715
Am J Clin Nutr. 2019 Apr 1;109(4):1173-1188
pubmed: 30982857
Public Health Nutr. 2011 Apr;14(4):575-83
pubmed: 21070685
PLoS One. 2017 Mar 30;12(3):e0174679
pubmed: 28358837
Nat Food. 2021 Mar;2(3):198-209
pubmed: 37117443
Am J Epidemiol. 1986 Jul;124(1):17-27
pubmed: 3521261
Nutrients. 2015 Oct 21;7(10):8615-32
pubmed: 26506372

Auteurs

Hafsa Toujgani (H)

Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France. h.toujgani@eren.smbh.univ-paris13.fr.

Joséphine Brunin (J)

Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France.
ADEME, (Agence de l'Environnement et de la Maîtrise de l'Energie), 49004, Angers, France.

Elie Perraud (E)

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

Benjamin Allès (B)

Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France.

Mathilde Touvier (M)

Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 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.

Philippe Pointereau (P)

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

Julia Baudry (J)

Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France.

Emmanuelle Kesse-Guyot (E)

Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH