A method to rapidly match environmental impact data to > 60 dietary datasets

Abstract There is growing interest in assessing the environmental impacts of diets due to the awareness of the link with human and planetary health. Until now, a limiting factor in this field has been linking information on the environmental impacts of foods to detailed, individual-level dietary data that accurately reflects people’s food consumption habits. Here we present (i) a method to link environmental impact data to a food description and classification system (FoodEx2); (ii) a resulting dataset of environmental impact values matched to 4089 food descriptors; and (iii) an example of applying this data to assess the environmental footprints of diets from Brazil and the USA. Our methodology and dataset enhance the interoperability between environmental and nutritional data, facilitating the assessment of the environmental impact of dietary intakes from different countries. They can be used by researchers, policymakers, practitioners, and consumers to reduce the environmental impact of diets.

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Publication Details

Journal
Environmental Research Food Systems
Published
2025-09-18
DOI
https://doi.org/10.1088/2976-601x/ae08b9
Citations
1
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
1.72
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A method to rapidly match environmental impact data to > 60 dietary datasets

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Agriculture Sustainability and Environmental Impact
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article

A method to rapidly match environmental impact data to > 60 dietary datasets

Donald Rose, Victoria Padula de Quadros, Christian Reynolds, Alana Kluczkovski, Angelina Frankowska, Josefa Maria Fellegger Garzillo, Berill Takacs, Ximena Schmidt Rivera, Jacqueline Tereza da Silva, Agnieszka Balcerzak, Bridget Holmes
article en
1 citations

Abstract

Abstract There is growing interest in assessing the environmental impacts of diets due to the awareness of the link with human and planetary health. Until now, a limiting factor in this field has been linking information on the environmental impacts of foods to detailed, individual-level dietary data that accurately reflects people’s food consumption habits. Here we present (i) a method to link environmental impact data to a food description and classification system (FoodEx2); (ii) a resulting dataset of environmental impact values matched to 4089 food descriptors; and (iii) an example of applying this data to assess the environmental footprints of diets from Brazil and the USA. Our methodology and dataset enhance the interoperability between environmental and nutritional data, facilitating the assessment of the environmental impact of dietary intakes from different countries. They can be used by researchers, policymakers, practitioners, and consumers to reduce the environmental impact of diets.

Environmental Research Food SystemsVol. 2(4)
Tulane University (US), Food and Agriculture Organization of the United Nations (IT), St George's, University of London (GB), City, University of London (GB), Departamento de Epidemiología (GT), Department of Physiological Sciences (RU), University College London (GB), University of York (GB), Brunel University of London (GB), University of Edinburgh (GB)
Openalex Percentile: Top 14%
Agriculture Sustainability and Environmental Impact
1.72
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