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Food-Level Analysis to Identify Dietary Choices With the Highest Nutritional Quality and Lowest Greenhouse Gas Emissions and Price

INTRODUCTION: Food systems are challenged to provide healthy, sustainable and affordable foods. From a consumer perspective, identifying healthy, sustainable and affordable choices based on individual food products rather than diets could promote better shopping choices. OBJECTIVE: To identify foods...

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Autores principales: Aceves-Martins, Magaly, Bates, Ruth L., Craig, Leone C. A., Chalmers, Neil, Horgan, Graham, Boskamp, Bram, de Roos, Baukje
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094442/
https://www.ncbi.nlm.nih.gov/pubmed/35571908
http://dx.doi.org/10.3389/fnut.2022.851826
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author Aceves-Martins, Magaly
Bates, Ruth L.
Craig, Leone C. A.
Chalmers, Neil
Horgan, Graham
Boskamp, Bram
de Roos, Baukje
author_facet Aceves-Martins, Magaly
Bates, Ruth L.
Craig, Leone C. A.
Chalmers, Neil
Horgan, Graham
Boskamp, Bram
de Roos, Baukje
author_sort Aceves-Martins, Magaly
collection PubMed
description INTRODUCTION: Food systems are challenged to provide healthy, sustainable and affordable foods. From a consumer perspective, identifying healthy, sustainable and affordable choices based on individual food products rather than diets could promote better shopping choices. OBJECTIVE: To identify foods and drinks with the highest nutritional quality and lowest greenhouse gas emissions (GHGE) and price. We also assessed how a combination of these indicators (e.g., nutritional quality, GHGE and price) for food categories aligned with current United Kingdom dietary recommendations. MATERIALS AND METHODS: We performed a secondary analysis of the National Diet and Nutrition Survey (NDNS) nutrient databank year 11 (2018/2019). Spearman correlation coefficients were used to assess the strength of relationships between nutritional quality, environmental impact and/or prices per 100 kcal. In addition, we developed an optimized nutritional quality, GHGE and price score for each food or drink item based on the overall medians for each of these indicators. RESULTS: Median nutritional value was highest for fruit and vegetables, whilst median GHGE and price was lower for starchy carbohydrates, fats and items of which consumption should be limited. The relative proportions of foods considered the most nutritious and with a low GHGE and price in each of the food categories, on a per 100 kcal basis, were comparable to the proportions in the Eatwell Guide, except for the proportion of fruits and vegetables being smaller and the proportion of potatoes, bread, rice, pasta, and other starchy carbohydrates being larger in our analysis. CONCLUSION: Public health efforts should consider the impact of dietary choices not only in terms of nutritional quality but also in terms of environmental and economic impact. Our food-based analysis shows a large variation in nutritional quality, GHGE and price within and across food categories, which provides consumers with opportunities for “food swaps” that are more nutritious and have lower GHGE and price.
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spelling pubmed-90944422022-05-12 Food-Level Analysis to Identify Dietary Choices With the Highest Nutritional Quality and Lowest Greenhouse Gas Emissions and Price Aceves-Martins, Magaly Bates, Ruth L. Craig, Leone C. A. Chalmers, Neil Horgan, Graham Boskamp, Bram de Roos, Baukje Front Nutr Nutrition INTRODUCTION: Food systems are challenged to provide healthy, sustainable and affordable foods. From a consumer perspective, identifying healthy, sustainable and affordable choices based on individual food products rather than diets could promote better shopping choices. OBJECTIVE: To identify foods and drinks with the highest nutritional quality and lowest greenhouse gas emissions (GHGE) and price. We also assessed how a combination of these indicators (e.g., nutritional quality, GHGE and price) for food categories aligned with current United Kingdom dietary recommendations. MATERIALS AND METHODS: We performed a secondary analysis of the National Diet and Nutrition Survey (NDNS) nutrient databank year 11 (2018/2019). Spearman correlation coefficients were used to assess the strength of relationships between nutritional quality, environmental impact and/or prices per 100 kcal. In addition, we developed an optimized nutritional quality, GHGE and price score for each food or drink item based on the overall medians for each of these indicators. RESULTS: Median nutritional value was highest for fruit and vegetables, whilst median GHGE and price was lower for starchy carbohydrates, fats and items of which consumption should be limited. The relative proportions of foods considered the most nutritious and with a low GHGE and price in each of the food categories, on a per 100 kcal basis, were comparable to the proportions in the Eatwell Guide, except for the proportion of fruits and vegetables being smaller and the proportion of potatoes, bread, rice, pasta, and other starchy carbohydrates being larger in our analysis. CONCLUSION: Public health efforts should consider the impact of dietary choices not only in terms of nutritional quality but also in terms of environmental and economic impact. Our food-based analysis shows a large variation in nutritional quality, GHGE and price within and across food categories, which provides consumers with opportunities for “food swaps” that are more nutritious and have lower GHGE and price. Frontiers Media S.A. 2022-04-27 /pmc/articles/PMC9094442/ /pubmed/35571908 http://dx.doi.org/10.3389/fnut.2022.851826 Text en Copyright © 2022 Aceves-Martins, Bates, Craig, Chalmers, Horgan, Boskamp and de Roos. 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
Aceves-Martins, Magaly
Bates, Ruth L.
Craig, Leone C. A.
Chalmers, Neil
Horgan, Graham
Boskamp, Bram
de Roos, Baukje
Food-Level Analysis to Identify Dietary Choices With the Highest Nutritional Quality and Lowest Greenhouse Gas Emissions and Price
title Food-Level Analysis to Identify Dietary Choices With the Highest Nutritional Quality and Lowest Greenhouse Gas Emissions and Price
title_full Food-Level Analysis to Identify Dietary Choices With the Highest Nutritional Quality and Lowest Greenhouse Gas Emissions and Price
title_fullStr Food-Level Analysis to Identify Dietary Choices With the Highest Nutritional Quality and Lowest Greenhouse Gas Emissions and Price
title_full_unstemmed Food-Level Analysis to Identify Dietary Choices With the Highest Nutritional Quality and Lowest Greenhouse Gas Emissions and Price
title_short Food-Level Analysis to Identify Dietary Choices With the Highest Nutritional Quality and Lowest Greenhouse Gas Emissions and Price
title_sort food-level analysis to identify dietary choices with the highest nutritional quality and lowest greenhouse gas emissions and price
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094442/
https://www.ncbi.nlm.nih.gov/pubmed/35571908
http://dx.doi.org/10.3389/fnut.2022.851826
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