Literature DB >> 33388205

Ultra-processed food consumption and type 2 diabetes incidence: A prospective cohort study.

Renata B Levy1, Fernanda Rauber2, Kiara Chang3, Maria Laura da C Louzada4, Carlos A Monteiro4, Christopher Millett5, Eszter P Vamos3.   

Abstract

BACKGROUND: Ultra-processed foods account for more than 50% of daily calories consumed in several high-income countries, with sales of ultra-processed foods soaring globally, especially in middle-income countries. The objective of this study is to investigate the association between ultra-processed food (UPF) consumption and risk of type 2 diabetes (T2D) in a UK-based prospective cohort study.
METHODS: Participants of the UK Biobank (2007-2019) aged 40-69 years without diabetes at recruitment who provided 24-h dietary recall and follow-up data were included. UPFs were defined using the NOVA food classification. Multivariable Cox proportional hazards regression models were used to evaluate the association between UPF consumption and the risk of T2D adjusting for socio-demographic, anthropometric and lifestyle characteristics.
RESULTS: A total of 21,730 participants with a mean age of 55.8 years and mean UPF intake of 22.1% at baseline were included. During a mean follow-up of 5.4 years (116,956 person-years), 305 incident T2D cases were identified. In the fully adjusted model, compared with the group in the lowest quartile of UPF intake, the hazard ratio for T2D was 1.44, 1.04-2.02 in the group with the highest quartile of UPF consumption. A gradient of elevated risk of T2D associated with increasing quartiles of UPF intake was consistently observed (p value for trend < 0.028). A significantly increased risk of T2D was observed per 10 percentage points increment in UPF consumption ([adjusted HR]: 1.12, 95% confidence interval [CI]: 1.04-1.20).
CONCLUSIONS: Our findings demonstrate that a diet high in UPFs is associated with a clinically important increased risk of T2D. Identifying and implementing effective public health actions to reduce UPF consumption in the UK and globally are urgently required.
Copyright © 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Entities:  

Keywords:  Biobank cohort; Diabetes; Prospective study; Ultra-processed foods; United Kingdom

Year:  2020        PMID: 33388205     DOI: 10.1016/j.clnu.2020.12.018

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  18 in total

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Journal:  Nutrients       Date:  2021-12-30       Impact factor: 5.717

2.  Dietary Protein Sources, Mediating Biomarkers, and Incidence of Type 2 Diabetes: Findings From the Women's Health Initiative and the UK Biobank.

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3.  Dietary Interventions to Treat Type 2 Diabetes in Adults with a Goal of Remission: An Expert Consensus Statement from the American College of Lifestyle Medicine.

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Review 4.  Relationship between Ultra-Processed Food Consumption and Risk of Diabetes Mellitus: A Mini-Review.

Authors:  Muneerh I Almarshad; Raya Algonaiman; Hend F Alharbi; Mona S Almujaydil; Hassan Barakat
Journal:  Nutrients       Date:  2022-06-07       Impact factor: 6.706

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Journal:  EClinicalMedicine       Date:  2021-02-03

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Authors:  Chenjie Xu; Zhi Cao; Hongxi Yang; Yabing Hou; Xiaohe Wang; Yaogang Wang
Journal:  Front Nutr       Date:  2022-01-14

8.  Ultra-processed food and incident type 2 diabetes: studying the underlying consumption patterns to unravel the health effects of this heterogeneous food category in the prospective Lifelines cohort.

Authors:  Ming-Jie Duan; Petra C Vinke; Gerjan Navis; Eva Corpeleijn; Louise H Dekker
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9.  Papua New Guinea agri-food trade and household consumption trends point towards dietary change and increased overweight and obesity prevalence.

Authors:  Emily Schmidt; Peixun Fang
Journal:  Global Health       Date:  2021-11-27       Impact factor: 4.185

10.  Ultra-Processed Food Consumption and Adult Diabetes Risk: A Systematic Review and Dose-Response Meta-Analysis.

Authors:  Sajjad Moradi; Mohammad Ali Hojjati Kermani; Reza Bagheri; Hamed Mohammadi; Ahmad Jayedi; Melissa M Lane; Omid Asbaghi; Sanaz Mehrabani; Katsuhiko Suzuki
Journal:  Nutrients       Date:  2021-12-09       Impact factor: 5.717

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