Evidence map›Paper›PMID 42115288›Full record

ArticleScientific reports2026

Timing of food intake, chrononutritional behavior patterns, and risk of metabolic syndrome in the French NutriNet-Santé cohort.

Elena Obeid, Xuân Le Folcalvez, Anna Palomar-Cros, Sandrine Péneau, Alice Bellicha, Mélanie Deschasaux-Tanguy, Benjamin Allès, Chantal Julia, Emmanuelle Kesse-Guyot, Paola Yvroud-Hoyos and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Elena ObeidNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France. elena.obeid@eren.smbh.univ-paris13.fr.
Xuân Le FolcalvezNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Anna Palomar-CrosInstitut Universitari d'Investigació en Atenció Primària (IDIAP Jordi Gol), Barcelona, Spain.
Sandrine PéneauNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Alice BellichaNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Mélanie Deschasaux-TanguyNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Benjamin AllèsNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Chantal JuliaNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Emmanuelle Kesse-GuyotNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Paola Yvroud-HoyosNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Serge HercbergNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Jean-Michel OppertNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Alexandra MontagnerInstitute of Metabolic and Cardiovascular Diseases (I2MC), INSERM UMR1297, Toulouse University, University Paul Sabatier (UPS), Toulouse, France.
Hervé GuillouToxalim (Research Center in Food Toxicology), INRAE, ENVT, INP-PURPAN, UMR 1331, UPS, Université de Toulouse, Toulouse, France.
Mathilde TouvierNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Valentina A AndreevaNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France.
Khaled EzzedineEpiDermE (Epidemiology in Dermatology and Evaluation of therapeutics), Institut Mondor de Recherche Biomédicale, Inserm U955, Université Paris-Est Créteil, Créteil, France.
Bernard SrourNutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Bobigny, 93017, France. b.srour@eren.smbh.univ-paris13.fr.

Funding

Agence Nationale de la Recherche ANR-23-CPJ1-0123-01
6 · The paper itself

Abstract

Growing evidence from preclinical studies suggests that meal timing influences metabolic health. However, evidence in humans is inconclusive. This study aims to evaluate the associations between timing and frequency of food intake, energy distribution and chrononutritional behavior patterns, with metabolic syndrome (MetS) risk in a large cohort. We used dietary, lifestyle and sociodemographic, biological and clinical data from 16,436 adults (72% females, 51 years ± 13.7) from the NutriNet-Santé cohort, who attended a clinical visit (2011-2014). Associations between timing of first and last eating episodes of the day, number of eating occasions, nighttime fasting duration (NFD), eating jetlag, and percentage of energy intake after 5PM (from repeated 24-h records), and the risk of MetS, were evaluated using Poisson regression models, adjusted for key confounders. Chrononutritional behavior patterns were identified through PCA. All analyses were sex-stratified. At the clinical visit (after 2.1 years), 1,936 cases (11.8%) of MetS were identified. In fully adjusted models, in females, a later first eating occasion was associated with a higher risk of MetS (RR = 1.09 (1.02-1.16), P = 0.007). A prolonged NFD was associated with a higher risk of MetS, only when combined with a first eating occasion later than 8AM (RR = 1.11 (1.04-1.20), P = 0.002). In males, greater energy intake after 5PM (RR = 1.12 (1.04-1.20), P = 0.004), and a greater adherence to a pattern characterized by energy-rich first eating occasions (RR = 0.89 (0.84-0.95), P < 0.001) were associated with the risk of MetS. No associations were found between number of eating occasions or eating jetlag with MetS risk. This study highlights sex-specific associations between timing and distribution of food intake with MetS risk. These findings suggest that, beyond dietary quality, meal timing may serve as a complementary strategy for improving metabolic health and preventing MetS. Further longitudinal research is warranted.

Indexed as

EatingFeeding BehaviorMetabolic SyndromeAdultCohort StudiesEnergy IntakeFastingFemaleFranceHumansIntermittent FastingMaleMiddle AgedRisk FactorsTime FactorsDietary patternsIntermittent fastingMetabolic syndromeTime-restricted eating

Identifiers

PMID42115288
PMCPMC13392437

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.