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
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
17850Informations 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