Evidence map›Paper›PMID 34608173›Full record

ArticleScientific reports2021

Exposure to food additive mixtures in 106,000 French adults from the NutriNet-Santé cohort.

Eloi Chazelas, Nathalie Druesne-Pecollo, Younes Esseddik, Fabien Szabo de Edelenyi, Cédric Agaesse, Alexandre De Sa, Rebecca Lutchia, Pauline Rebouillat, Bernard Srour, Charlotte Debras and 11 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
12.9field-weighted citation impact, top 1% of its field
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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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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

21 authors at 3 institutions in 2 countries.

Eloi ChazelasSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France. e.chazelas@eren.smbh.univ-paris13.fr.ORCID 0000-0002-4156-0026
Nathalie Druesne-PecolloSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Younes EsseddikSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Fabien Szabo de EdelenyiSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Cédric AgaesseSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Alexandre De SaSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Rebecca LutchiaSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Pauline RebouillatSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Bernard SrourSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Charlotte DebrasSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Gaëlle Wendeu-FoyetSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Inge HuybrechtsFrench Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France.
Fabrice PierreFrench Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France.
Xavier CoumoulFrench Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France.
Chantal JuliaSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Emmanuelle Kesse-GuyotSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Benjamin AllèsSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Pilar GalanSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Serge HercbergSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Mélanie Deschasaux-TanguySorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Mathilde TouvierSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
Inserm · FRFrench Clinical Research Infrastructure Network · FRUniversité Toulouse III - Paul Sabatier · FR

Funding

World Health Organization 001
6 · The paper itself

Abstract

Food additives (e.g. artificial sweeteners, emulsifiers, dyes, etc.) are ingested by billions of individuals daily. Some concerning results, mainly derived from animal and/or cell-based experimental studies, have recently emerged suggesting potential detrimental effects of several widely consumed additives. Profiles of additive exposure as well as the potential long-term impact of multiple exposure on human health are poorly documented. This work aimed to estimate the usual intake of food additives among participants of the French NutriNet-Santé cohort and to identify and describe profiles of exposure (single substances and mixtures). Overall, 106,489 adults from the French NutriNet-Santé cohort study (2009-ongoing) were included. Consumption of 90 main food additives was evaluated using repeated 24 h dietary records including information on brands of commercial products. Qualitative information (as presence/absence) of each additive in food products was determined using 3 large-scale composition databases (OQALI, Open Food Facts, GNPD), accounting for the date of consumption of the product. Quantitative ingested doses were estimated using a combination of laboratory assays on food matrixes (n = 2677) and data from EFSA and JECFA. Exposure was estimated in mg per kg of body weight per day. Profiles of exposure to food additive mixtures were extracted using Non-negative Matrix Factorization (NMF) followed by k-means clustering as well as Graphical Lasso. Sociodemographic and dietary comparison of clusters of participants was performed by Chi-square tests or linear regressions. Data were weighted according to the national census. Forty-eight additives were consumed by more than 10% of the participants, with modified starches and citric acid consumed by more than 90%. The top 50 also included several food additives for which potential adverse health effects have been suggested by recent experimental studies: lecithins (86.6% consumers), mono- and diglycerides of fatty acids (78.1%), carrageenan (77.5%), sodium nitrite (73.9%), di-, tri- and polyphosphates (70.1%), potassium sorbate (65.8%), potassium metabisulphite (44.8%), acesulfame K (34.0%), cochineal (33.9%), potassium nitrate (31.6%), sulfite ammonia caramel (28.8%), bixin (19.5%), monosodium glutamate (15.1%) and sucralose (13.5%). We identified and described five clusters of participants more specifically exposed to five distinct additive mixtures and one additional cluster gathering participants with overall low additive exposure. Food additives, including several for which health concerns are currently debated, were widely consumed in this population-based study. Furthermore, main mixtures of additives were identified. Their health impact and potential cocktail effects should be explored in future epidemiological and experimental studies.

Indexed as

AdultCluster AnalysisCohort StudiesFemaleFood AdditivesFranceHealth Impact AssessmentHumansLife StyleMaleMiddle AgedNutrition SurveysOnline SystemsPublic Health SurveillanceSociodemographic FactorsYoung AdultFood Additives

Identifiers

PMID34608173
PMCPMC8490357
OpenAlexW3202047184

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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.