• Aucun résultat trouvé

Ultra-processed food intake and risk of type 2 diabetes in a French cohort of middle-aged adults

N/A
N/A
Protected

Academic year: 2022

Partager "Ultra-processed food intake and risk of type 2 diabetes in a French cohort of middle-aged adults"

Copied!
2
0
0

Texte intégral

(1)

HAL Id: hal-02908797

https://hal.inrae.fr/hal-02908797

Submitted on 29 Jul 2020

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Ultra-processed food intake and risk of type 2 diabetes in a French cohort of middle-aged adults

Bernard Srour, Leopold Fezeu, Emmanuelle Kesse-Guyot, Benjamin Allès, Caroline Méjean, Charlotte Debras, Nathalie Druesne Pecollo, Eloi Chazelas,

Mélanie Deschasaux, Serge Hercberg, et al.

To cite this version:

Bernard Srour, Leopold Fezeu, Emmanuelle Kesse-Guyot, Benjamin Allès, Caroline Méjean, et al..

Ultra-processed food intake and risk of type 2 diabetes in a French cohort of middle-aged adults.

13th European Nutrition Conference (FENS 2019). Malnutrition in an obese world : European per- spectives, Federation of European Nutrition Societies (FENS), Oct 2019, Dublin, Ireland. pp.E533,

�10.1017/S0029665120004826�. �hal-02908797�

(2)

The 13th European Nutrition Conference, FENS 2019, was held at the Dublin Convention Centre, 15–18 October 2019

Ultra-processed food intake and risk of type 2 diabetes in a French cohort of middle-aged adults

Bernard Srour

1

, Léopold K. Fezeu

1

, Emmanuelle Kesse-Guyot

1

, Benjamin Allès

1

, Caroline Méjean

2

, Charlotte Debras

1

, Nathalie Druesne-Pecollo

1

, Eloi Chazelas

1

,

Mélanie Deschasaux

1

, Serge Hercberg

1,3

, Pilar Galan

1

, Carlos A. Monteiro

4

, Chantal Julia

1,3

and Mathilde Touvier

1

1

Nutritional Epidemiology Research Team (EREN) - Inserm U1153, INRA U1125, CNAM, University of Paris 13, Bobigny, France,

2

UMR MOISA INRA, Montpellier, France,

3

Avicenne hospital APHP - Public health department, Bobigny, France and

4

University of Sao-Paulo, Sao-Paulo, Brazil

Abstract

Introduction: The consumption of ultra-processed foods has been increasing during the last decades, and has been previously associated with increased risks of mortality and several chronic diseases such as cancer, cardiovascular diseases, hypertension, and dyslipidemia. The objective of this study is to assess the prospective associations between consumption of ultra-processed foods and the risk of type 2 diabetes (T2D).

Methods:Overall, 104707 participants aged at least 18 years (median age 41.5 years) from the French NutriNet-Santé cohort (2009– 2019) were included. Dietary intakes were collected using repeated 24 hour dietary records (5.7/subject in average), designed to register participants’usual consumption for 3300 different food items. These were categorized according to their degree of processing by the NOVA classification. Associations between ultra-processed food intake and risk of type 2 diabetes were assessed using multivariable Cox proportional hazard models adjusted for known risk factors (sociodemographic, anthropometric, lifestyle, medical history and nutritional factors).

Results:Ultra-processed sugary products, fruits and vegetables, and beverages were the highest contributors of the ultra-processed category (respectively 27.9, 18.5 and 15.6%). Ultra-processed food intake was associated with a higher risk of T2D (n = 821 incident cases; hazard ratio for an absolute increment of 10 in the percentage of ultra-processed foods in the diet = 1.15 (95% confidence interval 1.06 to 1.25); P = 0.0009, median follow-up: 6.0y, 582252 person-years). These results remained statistically significant after adjustment for other metabolic comorbidities, for several markers of the nutritional quality of the diet (red meat and sugary drinks consumption, intakes of saturated fatty acids, sodium, sugar, dietaryfiber or Healthy/Western patterns derived by principal component analysis) and after a large range of sensitivity analyses.

Conclusions:In this large observational prospective study, higher consumption of ultra-processed foods in the diet was associated with a higher risk of type 2 diabetes. These results need to be confirmed in other populations and settings, and causality remains to be established. Various dimensions of processing such as nutritional composition of thefinal product, food additives, contact materials, and neoformed contaminants might play a role in these associations and further studies are needed to better understand their relative contribution. Meanwhile, public health authorities in several countries recently started to recommend privileging unprocessed/

minimally processed foods and limiting ultra-processed food consumption.

Study Registration:Clinicaltrials.gov NCT03335644.

Conflict of Interest

There is no conflict of interest

Proceedings of the Nutrition Society(2020),79 (OCE2), E533 doi:10.1017/S0029665120004826

Pr oceedings of the Nutrition Society

https://doi.org/10.1017/S0029665120004826

Downloaded from https://www.cambridge.org/core. INRAE - Jouy-en-Josas, on 29 Jul 2020 at 12:13:52, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms.

Références

Documents relatifs

Common Crawl is a considerably large, het- erogeneous multilingual corpus comprised of crawled documents from the internet, surpass- ing 20TB of data and distributed as a set of

The estimated average surface temperature of the gravel during the 7 -month winter period was obtained by extrapolation of ground temperature profiles (T s 1 ) (the same approach

2 6 ( لوﻠﺣﻟا أدﺑﻣ : رﯾﻐﻟا ﻩﺎﺟﺗا ﻪﻗوﻘﺣ ﺔﻓﺎﻛ ﻲﻓ ﻪﻟ نﻣؤﻣﻟا لﺣﻣ لﺣﺗ نﯾﻣﺄﺗﻟا ﺔﻛرﺷ نأ ،لوﻠﺣﻟا أدﺑﻣﺑ دﺻﻘﯾ 3 ﺔﻣﯾﻗ دودﺣ ﻲﻓ لﻼﺣﻹا اذﻫ نوﻛﯾ نأ ﻰﻠﻋ ،ﻪﺑ تﻘﺣﻟ

4 (e)), current density reaches its maximum at electrodes surface and begins to increase at ground surface. We would like to clarify that current density value is mainly related

Before using the threshold that we defined on RSSI distance, we want to evaluate the gain on the dataset size based on the accuracy of the geographic distance.. Our

The latter algorithmic improvement has twofold aspects: (1) it permits to take advantage and exploit the structure of the identity matrix involved at each QR-based QDWH iteration,

Strong disorder: Suppression of the expansion of a Bose-Einstein condensate in a speckle potential and disorder-induced trapping scenario In this section, we investigate the

L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB.