Improving health and carbon footprints of European diets using a benchmarking approach.
Benchmarking
Diet model
Environment
Europe
Food-based dietary guidelines
Greenhouse gas emissions
Nutrient quality
Journal
Public health nutrition
ISSN: 1475-2727
Titre abrégé: Public Health Nutr
Pays: England
ID NLM: 9808463
Informations de publication
Date de publication:
02 2021
02 2021
Historique:
pubmed:
24
9
2020
medline:
14
8
2021
entrez:
23
9
2020
Statut:
ppublish
Résumé
This study aimed to identify diets with improved nutrient quality and environmental impact within the boundaries of dietary practices. We used Data Envelopment Analysis to benchmark diets for improved adherence to food-based dietary guidelines (FBDG). We then optimised these diets for dietary preferences, nutrient quality and environmental impact. Diets were evaluated using the Nutrient Rich Diet score (NRD15.3), diet-related greenhouse gas emission (GHGE) and a diet similarity index that quantified the proportion of food intake that remained similar as compared with the observed diet. National dietary surveys of four European countries (Denmark, Czech Republic, Italy and France). Approximately 6500 adults, aged 18-64 years. When dietary preferences were prioritised, NRD15·3 was ~6 % higher, GHGE was ~4 % lower and ~85 % of food intake remained similar. This diet had higher amounts of fruit, vegetables and whole grains than the observed diet. When nutrient quality was prioritised, NRD15·3 was ~16 % higher, GHGE was ~3 % lower and ~72 % of food intake remained similar. This diet had higher amounts of legumes and fish and lower amounts of sweetened and alcoholic beverages. Finally, when environmental impact was prioritised, NRD15·3 was ~9 % higher, GHGE was ~21 % lower and ~73 % of food intake remained similar. In this diet, red and processed meat partly shifted to either eggs, poultry, fish or dairy. Benchmark modelling can generate diets with improved adherence to FBDG within the boundaries of dietary practices, but fully maximising health and minimising GHGE cannot be achieved simultaneously.
Identifiants
pubmed: 32962783
pii: S1368980020003341
doi: 10.1017/S1368980020003341
pmc: PMC7844616
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
565-575Références
Eur J Clin Nutr. 1991 Dec;45(12):569-81
pubmed: 1810719
Appetite. 2015 Aug;91:375-84
pubmed: 25913683
Food Nutr Bull. 2010 Jun;31(2 Suppl):S134-46
pubmed: 20715598
Front Nutr. 2020 May 04;7:48
pubmed: 32432122
J Nutr. 2009 Aug;139(8):1549-54
pubmed: 19549759
Data Brief. 2019 Oct 07;27:104617
pubmed: 31656843
PLoS One. 2013;8(3):e59648
pubmed: 23544082
Int J Obes Relat Metab Disord. 2000 Sep;24(9):1119-30
pubmed: 11033980
Lancet. 2019 Feb 2;393(10170):447-492
pubmed: 30660336
Am J Clin Nutr. 1997 Apr;65(4 Suppl):1220S-1228S; discussion 1229S-1231S
pubmed: 9094926
Eur J Clin Nutr. 2016 Aug;70(8):869-78
pubmed: 27049034
Appetite. 2014 May;76:120-8
pubmed: 24530654
Public Health Nutr. 2017 Mar;20(4):739-757
pubmed: 27819199
Int J Behav Nutr Phys Act. 2016 Apr 07;13:46
pubmed: 27056829
Am J Clin Nutr. 2010 Feb;91(2):421-30
pubmed: 19939986
Front Nutr. 2018 Jun 21;5:48
pubmed: 29977894
Eur J Clin Nutr. 2018 Jul;72(7):951-960
pubmed: 29402959
Lancet. 2015 Dec 5;386(10010):2287-323
pubmed: 26364544
Br J Nutr. 2018 May;119(10):1195-1206
pubmed: 29759103
Adv Nutr. 2018 Sep 01;9(5):602-616
pubmed: 30239584
J Am Coll Nutr. 2009 Aug;28(4):421S-426S
pubmed: 20368382
Public Health Nutr. 2017 Jun;20(9):1699-1709
pubmed: 28318463
Public Health Nutr. 2016 Oct;19(14):2662-74
pubmed: 27049598
Public Health Nutr. 2020 Sep;23(13):2290-2302
pubmed: 32299525
Eur J Nutr. 2019 Jun;58(4):1475-1493
pubmed: 29594476
J Am Diet Assoc. 2009 Jul;109(7):1266-82
pubmed: 19562864
Am J Clin Nutr. 2012 Sep;96(3):632-9
pubmed: 22854399
Public Health Nutr. 2009 Dec;12(12):2504-32
pubmed: 19278564