Evidence map›Paper›PMID 31841598›Full record

Observational studyJAMA internal medicine2020

Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort.

Bernard Srour, Léopold K Fezeu, Emmanuelle Kesse-Guyot, Benjamin Allès, Charlotte Debras, Nathalie Druesne-Pecollo, Eloi Chazelas, Mélanie Deschasaux, Serge Hercberg, Pilar Galan and 3 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in JAMA internal medicine, 2020. 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 241 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
241citing papers in PubMed, 14 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.

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

241 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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181 more citing papers are in PubMed but not listed here.

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

13 authors.

Bernard SrourParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Léopold K FezeuParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Emmanuelle Kesse-GuyotParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Benjamin AllèsParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Charlotte DebrasParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Nathalie Druesne-PecolloParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Eloi ChazelasParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Mélanie DeschasauxParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Serge HercbergParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Pilar GalanParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Carlos A MonteiroDepartment of Nutrition, School of Public Health, University of São Paulo, Av. Dr Arnaldo 715, São Paulo 01246-904, Brazil.
Chantal JuliaParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.
Mathilde TouvierParis 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017 Bobigny, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Ultraprocessed foods (UPF) are widespread in Western diets. Their consumption has been associated in recent prospective studies with increased risks of all-cause mortality and chronic diseases such as cancer, cardiovascular diseases, hypertension, and dyslipidemia; however, data regarding diabetes are lacking. Objective: To assess the associations between consumption of UPF and risk of type 2 diabetes (T2D). Design, Setting, and Participants: In this population-based prospective cohort study, 104 707 participants aged 18 years or older from the French NutriNet-Santé cohort (2009-2019) were included. Dietary intake data were collected using repeated 24-hour dietary records (5.7 per participant on average), designed to register participants' usual consumption for more than 3500 different food items. These were categorized according to their degree of processing by the NOVA classification system. Main Outcomes and Measures: Associations between UPF consumption and risk of T2D were assessed using cause-specific multivariable Cox proportional hazard models adjusted for known risk factors (sociodemographic, anthropometric, lifestyle, medical history, and nutritional factors). Results: A total of 104 707 participants (21 800 [20.8%] men and 82 907 [79.2%] women) were included. Mean (SD) baseline age of participants was 42.7 (14.5) years. Absolute T2D rates in the lowest and highest UPF consumers were 113 and 166 per 100 000 person-years, respectively. Consumption of UPF was associated with a higher risk of T2D (multi-adjusted hazard ratio [HR] for an absolute increment of 10 in the percentage of UPF in the diet, 1.15; 95% CI, 1.06-1.25; median follow-up, 6.0 years; 582 252 person-years; 821 incident cases). These results remained statistically significant after adjustment for several markers of the nutritional quality of the diet, for other metabolic comorbidities (HR, 1.13; 95% CI, 1.03-1.23), and for weight change (HR, 1.13; 95% CI, 1.01-1.27). The absolute amount of UPF consumption (grams per day) was consistently associated with T2D risk, even when adjusting for unprocessed or minimally processed food intake (HR for a 100 g/d increase, 1.05; 95% CI, 1.02-1.08). Conclusions and Relevance: In this large observational prospective study, a higher proportion of UPF in the diet was associated with a higher risk of T2D. Even though these results need to be confirmed in other populations and settings, they provide evidence to support efforts by public health authorities to recommend limiting UPF consumption. Trial Registration: ClinicalTrials.gov Identifier: NCT03335644.

Indexed as

Food HandlingAdultCohort StudiesDiabetes Mellitus, Type 2DietFemaleFranceHumansMaleMiddle AgedProportional Hazards ModelsProspective Studies

Identifiers

PMID31841598
PMCPMC6990737

What OpenQuestion holds

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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.