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Improving health and carbon footprints of European diets using a benchmarking approach
E. Mertens, A. Kuijsten, A. Kanellopoulos, M. Dofková, L. Mistura, L. D'Addezio, A. Turrini, C. Dubuisson, S. Havard, E. Trolle, M. Eckl, S. Biesbroek, J. Bloemhof, JM. Geleijnse, P. van 't Veer
Language English Country Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
Free Medical Journals
from 1998 to 1 year ago
PubMed Central
from 2012
ProQuest Central
from 2001-02-01 to 1 year ago
Nursing & Allied Health Database (ProQuest)
from 2001-02-01 to 1 year ago
Health & Medicine (ProQuest)
from 2001-02-01 to 1 year ago
Public Health Database (ProQuest)
from 2001-02-01 to 1 year ago
ROAD: Directory of Open Access Scholarly Resources
from 1998
- MeSH
- Benchmarking * MeSH
- Diet standards MeSH
- Adult MeSH
- Energy Intake MeSH
- Humans MeSH
- Carbon Footprint * MeSH
- Nutrition Surveys MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
- Europe MeSH
- France MeSH
- Italy MeSH
OBJECTIVE: This study aimed to identify diets with improved nutrient quality and environmental impact within the boundaries of dietary practices. DESIGN: 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. SETTING: National dietary surveys of four European countries (Denmark, Czech Republic, Italy and France). SUBJECTS: Approximately 6500 adults, aged 18-64 years. RESULTS: 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. CONCLUSIONS: 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.
Center for Health Nutrition and Food National Institute of Public Health Brno Czech Republic
Council for Agricultural Research and Economics Research Centre for Food and Nutrition Rome Italy
Operations Research and Logistics Group Wageningen University Wageningen the Netherlands
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- $a OBJECTIVE: This study aimed to identify diets with improved nutrient quality and environmental impact within the boundaries of dietary practices. DESIGN: 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. SETTING: National dietary surveys of four European countries (Denmark, Czech Republic, Italy and France). SUBJECTS: Approximately 6500 adults, aged 18-64 years. RESULTS: 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. CONCLUSIONS: 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.
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