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Exploring healthy and climate-friendly diets for Danish adults: an optimization study using quadratic programming
BACKGROUND: A transition to healthy and sustainable diets has the potential to improve human and planetary health but diets need to meet requirements for nutritional adequacy, health, environmental targets, and be acceptable to consumers. OBJECTIVE: The objective of this study was to derive a nutrit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10307962/ https://www.ncbi.nlm.nih.gov/pubmed/37396137 http://dx.doi.org/10.3389/fnut.2023.1158257 |
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author | Nordman, Matilda Lassen, Anne Dahl Stockmarr, Anders van ‘t Veer, Pieter Biesbroek, Sander Trolle, Ellen |
author_facet | Nordman, Matilda Lassen, Anne Dahl Stockmarr, Anders van ‘t Veer, Pieter Biesbroek, Sander Trolle, Ellen |
author_sort | Nordman, Matilda |
collection | PubMed |
description | BACKGROUND: A transition to healthy and sustainable diets has the potential to improve human and planetary health but diets need to meet requirements for nutritional adequacy, health, environmental targets, and be acceptable to consumers. OBJECTIVE: The objective of this study was to derive a nutritionally adequate and healthy diet that has the least deviation possible from the average observed diet of Danish adults while aiming for a greenhouse gas emission (GHGE) reduction of 31%, corresponding to the GHGE level of the Danish plant-rich diet, which lays the foundation for the current healthy and sustainable food-based dietary guidelines (FBDGs) in Denmark. METHODS: With an objective function minimizing the departure from the average observed diet of Danish adults, four diet optimizations were run using quadratic programming, with different combinations of diet constraints: (1) nutrients only (Nutri), (2) nutrients and health-based targets for food amounts (NutriHealth), (3) GHGE only (GHGE), and finally, (4) combined nutrient, health and GHGE constraints (NutriHealthGHGE). RESULTS: The GHGE of the four optimized diets were 3.93 kg CO(2)-eq (Nutri), 3.77 kg CO(2)-eq (NutriHealth) and 3.01 kg CO(2)-eq (GHGE and NutriHealthGHGE), compared to 4.37 kg CO(2)-eq in the observed diet. The proportion of energy from animal-based foods was 21%–25% in the optimized diets compared to 34% in the observed diet and 18% in the Danish plant-rich diet. Moreover, compared to the average Danish diet, the NutriHealthGHGE diet contained more grains and starches (44 E% vs. 28 E%), nuts (+230%), fatty fish (+89%), eggs (+47%); less cheese (−73%), animal-based fats (−76%), total meat (−42%); and very limited amounts of ruminant meat, soft drinks, and alcoholic beverages (all-90%), while the amounts of legumes and seeds were unchanged. On average, the mathematically optimized NutriHealthGHGE diet showed a smaller deviation from the average Danish diet compared to the Danish plant-rich diet (38% vs. 169%, respectively). CONCLUSION: The final optimized diet presented in this study represents an alternative way of composing a nutritionally adequate and healthy diet that has the same estimated GHGE as a diet consistent with the climate-friendly FBDGs in Denmark. As this optimized diet may be more acceptable for some consumers, it might help to facilitate the transition toward more healthy and sustainable diets in the Danish population. |
format | Online Article Text |
id | pubmed-10307962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103079622023-06-30 Exploring healthy and climate-friendly diets for Danish adults: an optimization study using quadratic programming Nordman, Matilda Lassen, Anne Dahl Stockmarr, Anders van ‘t Veer, Pieter Biesbroek, Sander Trolle, Ellen Front Nutr Nutrition BACKGROUND: A transition to healthy and sustainable diets has the potential to improve human and planetary health but diets need to meet requirements for nutritional adequacy, health, environmental targets, and be acceptable to consumers. OBJECTIVE: The objective of this study was to derive a nutritionally adequate and healthy diet that has the least deviation possible from the average observed diet of Danish adults while aiming for a greenhouse gas emission (GHGE) reduction of 31%, corresponding to the GHGE level of the Danish plant-rich diet, which lays the foundation for the current healthy and sustainable food-based dietary guidelines (FBDGs) in Denmark. METHODS: With an objective function minimizing the departure from the average observed diet of Danish adults, four diet optimizations were run using quadratic programming, with different combinations of diet constraints: (1) nutrients only (Nutri), (2) nutrients and health-based targets for food amounts (NutriHealth), (3) GHGE only (GHGE), and finally, (4) combined nutrient, health and GHGE constraints (NutriHealthGHGE). RESULTS: The GHGE of the four optimized diets were 3.93 kg CO(2)-eq (Nutri), 3.77 kg CO(2)-eq (NutriHealth) and 3.01 kg CO(2)-eq (GHGE and NutriHealthGHGE), compared to 4.37 kg CO(2)-eq in the observed diet. The proportion of energy from animal-based foods was 21%–25% in the optimized diets compared to 34% in the observed diet and 18% in the Danish plant-rich diet. Moreover, compared to the average Danish diet, the NutriHealthGHGE diet contained more grains and starches (44 E% vs. 28 E%), nuts (+230%), fatty fish (+89%), eggs (+47%); less cheese (−73%), animal-based fats (−76%), total meat (−42%); and very limited amounts of ruminant meat, soft drinks, and alcoholic beverages (all-90%), while the amounts of legumes and seeds were unchanged. On average, the mathematically optimized NutriHealthGHGE diet showed a smaller deviation from the average Danish diet compared to the Danish plant-rich diet (38% vs. 169%, respectively). CONCLUSION: The final optimized diet presented in this study represents an alternative way of composing a nutritionally adequate and healthy diet that has the same estimated GHGE as a diet consistent with the climate-friendly FBDGs in Denmark. As this optimized diet may be more acceptable for some consumers, it might help to facilitate the transition toward more healthy and sustainable diets in the Danish population. Frontiers Media S.A. 2023-06-15 /pmc/articles/PMC10307962/ /pubmed/37396137 http://dx.doi.org/10.3389/fnut.2023.1158257 Text en Copyright © 2023 Nordman, Lassen, Stockmarr, Van’T Veer, Biesbroek and Trolle. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Nordman, Matilda Lassen, Anne Dahl Stockmarr, Anders van ‘t Veer, Pieter Biesbroek, Sander Trolle, Ellen Exploring healthy and climate-friendly diets for Danish adults: an optimization study using quadratic programming |
title | Exploring healthy and climate-friendly diets for Danish adults: an optimization study using quadratic programming |
title_full | Exploring healthy and climate-friendly diets for Danish adults: an optimization study using quadratic programming |
title_fullStr | Exploring healthy and climate-friendly diets for Danish adults: an optimization study using quadratic programming |
title_full_unstemmed | Exploring healthy and climate-friendly diets for Danish adults: an optimization study using quadratic programming |
title_short | Exploring healthy and climate-friendly diets for Danish adults: an optimization study using quadratic programming |
title_sort | exploring healthy and climate-friendly diets for danish adults: an optimization study using quadratic programming |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10307962/ https://www.ncbi.nlm.nih.gov/pubmed/37396137 http://dx.doi.org/10.3389/fnut.2023.1158257 |
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