Evidence map›Paper›PMID 37990128›Full record

ArticleEuropean journal of clinical nutrition2024

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

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

Abstract read
In one paragraph

Article in European journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Patricia Eustachio ColomboDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden. patricia.eustachio.colombo@ki.se.ORCID 0000-0002-8505-116X
Liselotte Schäfer ElinderDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7270-1162
Esa-Pekka A NykänenDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6345-7177
Emma PattersonDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-1208-0936
Anna Karin LindroosThe Swedish Food Agency, Uppsala, Sweden.
Alexandr ParlesakDepartment of Nutrition, Exercise and Sports, Copenhagen University, Copenhagen, Denmark.ORCID 0000-0002-8973-3467

Funding

Svenska Forskningsrådet Formas (Swedish Research Council Formas) 2016-00353
6 · The paper itself

Abstract

BACKGROUND AND

objectivesCurrent dietary habits have substantial negative impacts on the health of people and the planet. This study aimed to develop a novel approach for achieving health-promoting and climate-friendly dietary recommendations for a broad range of consumers. SUBJECTS AND

methodsHierarchical clustering analysis was combined with linear programming to design nutritionally adequate, health-promoting, climate-friendly and culturally acceptable diets using Swedish national dietary data (n = 1797). Diets were optimised for the average consumption of the total population as well as for the dietary clusters.

resultsThree dietary clusters were identified. All optimised diets had lower shares of animal-source foods and contained higher amounts of plant-based foods. These dietary shifts reduced climate impacts by up to 53% while leaving much of the diet unchanged. The optimised diets of the three clusters differed from the optimised diet of the total population. All optimised diets differed considerably from the food-group pattern of the EAT-Lancet diet.

conclusionsThe novel cluster-based optimisation approach was able to generate alternatives that may be more acceptable and realistic for a sustainable diet across different groups in the population.

Indexed as

Climate ChangePlanetsDietHealth StatusHumans

Identifiers

PMID37990128
PMCPMC10927557

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.