Evidence map›Paper›PMID 40514663›Full record

Observational studyThe international journal of behavioral nutrition and physical activity2025

Dietary consumption trajectory profiles over time of French adults from the NutriNet-Santé cohort (2014-2022): multicriteria analysis of sustainability.

Hafsa Toujgani, Juhui Wang, Elie Perraud, Julia Baudry, Justine Berlivet, Benjamin Allès, Hélène Fouillet, Serge Hercberg, Mathilde Touvier, Denis Lairon and 5 more

Registry-linked trialAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in The international journal of behavioral nutrition and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03335644 (The NutriNet-Santé Study. A Web-based Prospective Cohort Study of the Relationship Between Nutrition and Health and of Dietary Patterns and Nutritional Status Predictors), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT03335644 recruitingnot on this map

The NutriNet-Santé Study. A Web-based Prospective Cohort Study of the Relationship Between Nutrition and Health and of Dietary Patterns and Nutritional Status Predictors

TypeobservationalSponsorUniversity of Paris 13Ran2009 to 2029Enrolled170,000ConditionsDiet, Food, and Nutrition, Exercise, Diseases Category, Cohort Studies
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

15 authors.

Hafsa ToujganiUniversité Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France.
Juhui WangUniversité Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France.
Elie PerraudUniversité Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France.
Julia BaudryUniversité Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France.
Justine BerlivetUniversité Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France.
Benjamin AllèsUniversité Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France.
Hélène FouilletUniversité Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France.
Serge HercbergUniversité Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France.
Mathilde TouvierUniversité Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France.
Denis LaironAix Marseille Université, Inserm, INRAE, C2VN, 13005, Marseille, France.
Philippe PointereauSolagro, 75, Voie TOEC, CS 27608, F-31076, Cedex 3, Toulouse, France.
Christian CouturierSolagro, 75, Voie TOEC, CS 27608, F-31076, Cedex 3, Toulouse, France.
François MariottiUniversité Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France.
Emmanuelle Kesse-GuyotUniversité Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France. e.kesse@eren.smbh.univ-paris13.fr.
TRANSFood Consortium

Funding

Agence Nationale de la Recherche ANR-21-CE21-0011-01
6 · The paper itself

Abstract

backgroundDietary patterns significantly impact climate change and morbidity, making transitions to sustainable diets urgent. Few studies explore repeated dietary measures collected over several years or variations across distinct consumer profiles characterized by sociodemographic and dietary patterns.

objectiveOur study aims to identify dietary trajectory profiles in French adults (2014-2022), assessing environmental, nutritional, and health outcomes.

methodsConsumption data from 17,187 NutriNet-Santé cohort participants (52% women, average age 48y, SD = 16) were collected via food frequency questionnaires in 2014 (weighted to the French Census), 2018, and 2022. Dietary trajectory profiles were modeled using Group-based multi-trajectory modeling based on principal component analysis of energy-adjusted consumption data. Associations with environmental (greenhouse gas (GHG) emissions) and nutritional (adherence to French dietary guidelines, diet quality index) dimensions were assessed via multivariable mixed models. Health impacts were evaluated as Disability-Adjusted Life Years (DALYs)avoided, using the Comparative Risk Assessment approach.

resultsSix dietary trajectory profiles (P) with distinct starting diets and evolutions were identified. P0 had average intakes, while P1 and P5 were meat-focused, with P5 showing the highest animal consumption. P3 and P4 leaned plant-based, with P4 maintaining high fish and plant intakes, and P3 increasing ruminant meat. P2 initially high in salty or sweet fatty foods, shifted significantly toward plant-based diets. Over time, GHG emissions decreased (- 5% to - 14%), diet quality (PNNS-GS2 score) improved (+ 12% to + 174%), and health risks declined in four profiles due to reduced red meat and higher whole grains/fruits but increased for P4 and P5 due to processed meat.

conclusionThese profiles reflect diverse population segments with distinct dietary profiles and degrees of sustainability improvements. However, significant advancements remain limited, highlighting the need for further research on economic, psychological, and cultural factors to guide sustainable changes.

trial registrationTrial registration number: NCT03335644. URL of registration: https://clinicaltrials.gov/study/NCT03335644?id=NCT03335644&rank=1.

Indexed as

DietFeeding BehaviorAdultClimate ChangeCohort StudiesFemaleFranceHumansMaleMiddle AgedConsumption trajectoriesDiet-related diseasesGreenhouse gas emissionsNutritional qualitySocioeconomic factors

Identifiers

PMID40514663
PMCPMC12166596

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.