Food Science and Technology

Developing a novel optimisation approach for keeping heterogeneous diets healthy and within planetary boundaries for climate change

P. E. Colombo, L. S. Elinder, et al.

This innovative study by Patricia Eustachio Colombo, Liselotte Schäfer Elinder, Esa-Pekka A. Nykänen, Emma Patterson, Anna Karin Lindroos, and Alexandr Parlesak reveals how optimizing Swedish diets through hierarchical clustering and linear programming can cut climate impact by up to 53%! Discover how adding more plant-based foods can lead to healthier and more sustainable eating choices.

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Playback language: English

Index

Abstract

This study developed a novel approach for creating health-promoting and climate-friendly dietary recommendations. Hierarchical clustering analysis combined with linear programming optimized Swedish dietary data (n=1797) for the average population and identified dietary clusters. Optimized diets reduced climate impacts by up to 53% by increasing plant-based foods and decreasing animal-source foods. Cluster-based optimization provided more acceptable and realistic sustainable diet alternatives compared to a single population average.

Publisher

European Journal of Clinical Nutrition

Published On

Nov 21, 2023

Authors

Patricia Eustachio Colombo, Liselotte Schäfer Elinder, Esa-Pekka A. Nykänen, Emma Patterson, Anna Karin Lindroos, Alexandr Parlesak

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