Evidence map›Paper›PMID 37117444›Full record

ArticleNature food2021

Conservative to disruptive diets for optimizing nutrition, environmental impacts and cost in French adults from the NutriNet-Santé cohort.

Louise Seconda, Helene Fouillet, Jean-François Huneau, Philippe Pointereau, Julia Baudry, Brigitte Langevin, Denis Lairon, Benjamin Allès, Mathilde Touvier, Serge Hercberg and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

12 authors.

Louise SecondaNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord, INSERM, IINRAE, CNAM, Epidemiology and Statistics Research Centre-University of Paris (CRESS), Bobigny, France.
Helene FouilletUniversité Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France.ORCID http://orcid.org/0000-0003-3932-251X
Jean-François HuneauUniversité Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France.
Philippe PointereauSolagro, Toulouse, France.
Julia BaudryNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord, INSERM, IINRAE, CNAM, Epidemiology and Statistics Research Centre-University of Paris (CRESS), Bobigny, France. j.baudry@eren.smbh.univ-paris13.fr.ORCID http://orcid.org/0000-0002-7919-6039
Brigitte LangevinSolagro, Toulouse, France.ORCID http://orcid.org/0000-0002-6451-0144
Denis LaironC2VN, Faculté de Médecine de la Timone, Aix Marseille Université, INSERM, INRAE, Marseille, France.
Benjamin AllèsNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord, INSERM, IINRAE, CNAM, Epidemiology and Statistics Research Centre-University of Paris (CRESS), Bobigny, France.
Mathilde TouvierNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord, INSERM, IINRAE, CNAM, Epidemiology and Statistics Research Centre-University of Paris (CRESS), Bobigny, France.
Serge HercbergNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord, INSERM, IINRAE, CNAM, Epidemiology and Statistics Research Centre-University of Paris (CRESS), Bobigny, France.
François MariottiUniversité Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France.ORCID http://orcid.org/0000-0002-4516-3853
Emmanuelle Kesse-GuyotNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord, INSERM, IINRAE, CNAM, Epidemiology and Statistics Research Centre-University of Paris (CRESS), Bobigny, France.ORCID http://orcid.org/0000-0002-9715-3534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the sustainability of diets requires the identification of diets that meet the nutritional requirements of populations, promote health, are within planetary boundaries, are affordable and are acceptable. Here we explore the extent to which dimensions of sustainability could be optimally aligned and identify more sustainable dietary solutions, from the most conservative to the most disruptive, among 12,166 participants of the NutriNet-Santé cohort. We aim to concomitantly lower environmental impacts (including greenhouse gas emissions, cumulative energy demand and land occupation), increase organic food consumption and study departure from observed diets (considered as a proxy for acceptability). From the most conservative to the most disruptive scenario, optimized diets were gradually richer in fruits, vegetables and soya-based products and markedly poorer in animal-based foods and fatty and sweet foods. The contribution of animal protein to total protein intake gradually decreased by 12% to 70% of the observed value. The greenhouse gas emissions from food production for the diets gradually decreased across scenarios (as a percentage of observed values) by 36-86%, land occupation for food production by 32-78% and energy demand by 28-72%. Our results offer a benchmark of scenarios of graded dietary changes against graded sustainability improvements.

Identifiers

PMID37117444

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.