Evidence map›Paper›PMID 41127057›Full record

ArticleThe Lancet regional health. Europe2025

Association between dietary environmental pressures and major chronic diseases: assessment from the prospective NutriNet-Santé cohort.

Emmanuelle Kesse-Guyot, Aurélien Chayre, Elie Perraud, Sylvaine Berger, Annabelle Richard, Justine Berlivet, Mathilde Touvier, Benjamin Allès, Serge Hercberg, Denis Lairon and 5 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Emmanuelle Kesse-GuyotUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Aurélien ChayreSolagro, Voie du Toec, Toulouse, France.
Elie PerraudUMR PNCA, AgroParisTech, INRAE, Université Paris-Saclay, Palaiseau, France.
Sylvaine BergerSolagro, Voie du Toec, Toulouse, France.
Annabelle RichardSolagro, Voie du Toec, Toulouse, France.
Justine BerlivetUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Mathilde TouvierUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Benjamin AllèsUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Serge HercbergUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Denis LaironInserm, INRAE, Aix Marseille Université, CV2N, Marseille, France.
Philippe PointereauSolagro, Voie du Toec, Toulouse, France.
Hélène FouilletUMR PNCA, AgroParisTech, INRAE, Université Paris-Saclay, Palaiseau, France.
Julia BaudryUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Christian CouturierSolagro, Voie du Toec, Toulouse, France.
François MariottiUMR PNCA, AgroParisTech, INRAE, Université Paris-Saclay, Palaiseau, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Plant-based diets offer co-benefits for human health and the environment, but assessments often consider only specific aspects. This study comprehensively examines the links between diet-related environmental pressures and risk of chronic diseases as well as mortality. Methods: Data from a population study of 34,077 participants to the NutriNet-Santé French cohort were used. Dietary data were collected using a food frequency questionnaire, distinguishing between organic and conventional foods, and were merged with food production environmental indicators. The associations between greenhouse gas emissions (GHGe), energy demand, land occupation (LO), ecological infrastructures (EI), water use, and pesticide treatment frequency and a synthetic environmental pressures index (EPI) and incidence of cancer, cardiovascular diseases (overall, coronary and cerebrovascular diseases), type 2 diabetes and mortality were estimated using weighted multivariable cox proportional risk model. Findings: Over a mean median follow-up of 8.39 years (IQR = 5.62, 256,891 person-year), the diet's overall environmental pressures (EPI) was positively associated with the risk of all tested chronic diseases except stroke. The HR for 1 SD increment ranging from 1.15 (95% CI = 1.03-1.28) for cancer (all locations) to 1.50 (95% CI = 1.29-1.73) for coronary heart disease and type 2 diabetes, but no association with stroke or death was detected. Interpretation: Diets with low overall environmental pressures are associated with important health benefits, suggesting that food systems with lower environmental impacts could be key drivers of both environmental and health sustainability. Funding: Data were collected in the context of the BioNutriNet and TRANSFood projects supported by the French National Research Agency (ANR-13-ALID-0001 and ANR-21-CE21-0011-01).

Indexed as

Chronic diseasesClimateCohortDietEnvironmental indicatorsEpidemiology

Identifiers

PMID41127057
PMCPMC12538917

What OpenQuestion holds

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Registered trials

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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.