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

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          Key Points

          Question

          Is consumption of ultraprocessed foods associated with the risk of developing type 2 diabetes (T2D)?

          Findings

          This observational prospective study of 104 707 participants found that a higher proportion of ultraprocessed foods in the diet was associated with a higher risk of T2D.

          Meaning

          Ultraprocessed food intake is a modifiable factor that may play a role in T2D etiology. Public health authorities in several countries recently started to recommend privileging unprocessed/minimally processed foods and limiting ultraprocessed food consumption.

          Abstract

          This observational study examines whether a higher proportion of ultraprocessed foods in the diet was associated with a higher risk of type 2 diabetes.

          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

          Related collections

          Most cited references40

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          Consumption of ultra-processed foods predicts diet quality in Canada.

          This study describes food consumption patterns in Canada according to the types of food processing using the Nova classification and investigates the association between consumption of ultra-processed foods and the nutrient profile of the diet. Dietary intakes of 33,694 individuals from the 2004 Canadian Community Health Survey aged 2 years and above were analyzed. Food and drinks were classified using Nova into unprocessed or minimally processed foods, processed culinary ingredients, processed foods and ultra-processed foods. Average consumption (total daily energy intake) and relative consumption (% of total energy intake) provided by each of the food groups were calculated. Consumption of ultra-processed foods according to sex, age, education, residential location and relative family revenue was assessed. Mean nutrient content of ultra-processed foods and non-ultra-processed foods were compared, and the average nutrient content of the overall diet across quintiles of dietary share of ultra-processed foods was measured. In 2004, 48% of calories consumed by Canadians came from ultra-processed foods. Consumption of such foods was high amongst all socioeconomic groups, and particularly in children and adolescents. As a group, ultra-processed foods were grossly nutritionally inferior to non-ultra-processed foods. After adjusting for covariates, a significant and positive relationship was found between the dietary share of ultra-processed foods and the content in carbohydrates, free sugars, total and saturated fats and energy density, while an inverse relationship was observed with the dietary content in protein, fiber, vitamins A, C, D, B6 and B12, niacin, thiamine, riboflavin, as well as zinc, iron, magnesium, calcium, phosphorus and potassium. Lowering the dietary share of ultra-processed foods and raising consumption of hand-made meals from unprocessed or minimally processed foods would substantially improve the diet quality of Canadian.
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            The Nutrinet-Santé Study: a web-based prospective study on the relationship between nutrition and health and determinants of dietary patterns and nutritional status

            Background Nutrition-related chronic diseases such as cardiovascular diseases and cancer are of multiple origin, and may be due to genetic, biologic, behavioural and environmental factors. In order to detangle the specific role of nutritional factors, very large population sample cohort studies comprising precisely measured dietary intake and all necessary information for accurately assessing potential confounding factors are needed. Widespread use of internet is an opportunity to gradually collect huge amounts of data from a large sample of volunteers that can be automatically verified and processed. The objectives of the NutriNet-Santé study are: 1) to investigate the relationship between nutrition (nutrients, foods, dietary patterns, physical activity), mortality and health outcomes; and 2) to examine the determinants of dietary patterns and nutritional status (sociological, economic, cultural, biological, cognitive, perceptions, preferences, etc.), using a web-based approach. Methods/design Our web-based prospective cohort study is being conducted for a scheduled follow-up of 10 years. Using a dedicated web site, recruitment will be carried out for 5 years so as to register 500 000 volunteers aged ≥ 18 years among whom 60% are expected to be included (having complete baseline data) and followed-up for at least 5 years for 240 000 participants. Questionnaires administered via internet at baseline and each year thereafter will assess socio-demographic and lifestyle characteristics, anthropometry, health status, physical activity and diet. Surveillance of health events will be implemented via questionnaires on hospitalisation and use of medication, and linkage with a national database on vital statistics. Biochemical samples and clinical examination will be collected in a subsample of volunteers. Discussion Self-administered data collection using internet as a complement to collection of biological data will enable identifying nutrition-related risks and protective factors, thereby more clearly elucidating determinants of nutritional status and their interactions. These are necessary steps for further refining nutritional recommendations aimed at improving the health status of populations.
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              Consumption of ultra-processed food products and its effects on children's lipid profiles: a longitudinal study.

              Cardiovascular disease development is related to known risk factors (such as diet and blood lipids) that begin in childhood. Among dietary factors, the consumption of ultra-processing products has received attention. This study investigated whether children's consumption of processed and ultra-processing products at preschool age predicted an increase in lipid concentrations from preschool to school age.
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                Author and article information

                Journal
                JAMA Intern Med
                JAMA Intern Med
                JAMA Intern Med
                JAMA Internal Medicine
                American Medical Association
                2168-6106
                2168-6114
                February 2020
                16 December 2019
                16 December 2020
                : 180
                : 2
                : 283-291
                Affiliations
                [1 ]Paris 13 University, Inserm, Inra, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), 93017 Bobigny, France
                [2 ]Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
                [3 ]Department of Nutrition, School of Public Health, University of São Paulo, Av. Dr Arnaldo 715, São Paulo 01246-904, Brazil
                Author notes
                Article Information
                Corresponding Author: Bernard Srour, PharmD, MPH, PhD, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN): Inserm (U1153), Inra(U1125), Cnam, Université Paris 13 Centre de Recherche en Epidémiologie et Statistiques Université de Paris, SMBH Paris 13, 74 rue Marcel Cachin F-93017 Bobigny Cedex, France ( b.srour@ 123456eren.smbh.univ-paris13.fr ).
                Accepted for Publication: October 10, 2019.
                Published Online: December 16, 2019. doi:10.1001/jamainternmed.2019.5942
                Author Contributions: Drs Srour and Touvier had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Study concept and design: Srour, Kesse-Guyot, Monteiro, Touvier.
                Acquisition, analysis, or interpretation of data: Srour, Fezeu, Kesse-Guyot, Allès, Debras, Druesne-Pecollo, Chazelas, Deschasaux, Hercberg, Galan, Julia, Touvier.
                Drafting of the manuscript: Srour, Chazelas, Touvier.
                Critical revision of the manuscript for important intellectual content: Srour, Fezeu, Kesse-Guyot, Allès, Debras, Druesne-Pecollo, Deschasaux, Hercberg, Galan, Monteiro, Julia, Touvier.
                Statistical analysis: Srour, Monteiro, Julia.
                Obtained funding: Touvier.
                Administrative, technical, or material support: Fezeu, Kesse-Guyot, Julia.
                Study supervision: Hercberg, Galan, Touvier.
                Funding/Support: The study was supported by the following public institutions: Ministère de la Santé, Santé Publique France, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Métiers (CNAM) and Université Paris 13. Mr Chazelas was supported by Doctoral Funding from Université Paris 13–Galilée Doctoral School. Dr Deschasaux was supported by a grant from the Fondation pour la Recherche Médicale. Mrs Debras was supported by a grant from the French National Cancer Institute (INCa). Researchers were independent from funders.
                Role of the Funder/Sponsor: The funding institutions had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Contributions: We thank all the volunteers of the NutriNet-Santé cohort. We also thank Younes Esseddik, MSc, Thi Hong Van Duong, MSc, Régis Gatibelza, MSc, and Jagatjit Mohinder, MSc, computer scientists; Cédric Agaesse, BA, dietitian; Fabien Szabo de Edelenyi, PhD, Julien Allègre, MSc, Nathalie Arnault, MSc, and Laurent Bourhis, MSc, data-managers/biostatisticians; and Fatoumata Diallo, MD, and Roland Andrianasolo, MD, physicians; for their technical contribution to the NutriNet-Santé study.
                Additional Information: NutriNet-Santé is conducted according to the Declaration of Helsinki guidelines and was approved by the institutional review board of the French Institute for Health and Medical Research (IRB Inserm n 0000388FWA00005831) and the Commission Nationale de l’Informatique et des Libertés (CNIL n 908450/n 909216). ORCID: 0000-0002-1277-3380
                Article
                PMC6990737 PMC6990737 6990737 ioi190098
                10.1001/jamainternmed.2019.5942
                6990737
                31841598
                87dd7d62-bb95-4700-aaa5-8dc46ad9531b
                Copyright 2019 American Medical Association. All Rights Reserved.
                History
                : 12 June 2019
                : 10 October 2019
                Categories
                Research
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                Original Investigation
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