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Ultra-processed foods and the risk of diabetes: a review


Affiliations
1 Department of Research Operations and Diabetes Complications, Madras Diabetes Research Foundation, Chennai 600 086, India
2 Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai 600 086, India
3 World-Class Research Center for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation

The global rise in ultra-processed foods (UPF) consumption is increasingly linked to the rising incidence of type 2 diabetes (T2D). UPF, characterized by high levels of added sugars, unhealthy fats, sodium and various artificial additives, provide little nutritional value and are associated with adverse metabolic effects. These foods contribute significantly to insulin resistance, chronic hyperglycemia, weight gain and low-grade inflammation, all of which are key risk factors for the onset of T2D. Findings from epidemiological studies, such as the NutriNet-Santé cohort, indicate a strong correlation between UPF intake and the increased risk of developing T2D. Meta-analyses reveal that for every 10% increase in UPF consumption, there is a 12–25% increase in the risk of T2D. Cross-sectional studies further confirm that UPF-heavy diets contribute to poor glycemic control and elevated fasting blood glucose levels. Public health interventions targetting the reduction of UPF consumption are crucial to mitigating this global diabetes epidemic. The NOVA food classification system offers a practical framework for identifying and categorizing UPFs and facilitating dietary reforms. Future research should explore the specific roles of food additives and industrial processing techniques in order to reduce the risk of T2D.

Keywords

Diet quality, dietary patterns, obesity and processed foods, type 2 diabetes, ultra-processed foods.
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  • Ultra-processed foods and the risk of diabetes: a review

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Authors

Thyparambil Aravindakshan PramodKumar
Department of Research Operations and Diabetes Complications, Madras Diabetes Research Foundation, Chennai 600 086, India
Ranjit Mohan Anjana
Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai 600 086, India
Natarajan Lakshmi
Department of Research Operations and Diabetes Complications, Madras Diabetes Research Foundation, Chennai 600 086, India
Polina V. Popova
World-Class Research Center for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation
Viswanathan Mohan
Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai 600 086, India

Abstract


The global rise in ultra-processed foods (UPF) consumption is increasingly linked to the rising incidence of type 2 diabetes (T2D). UPF, characterized by high levels of added sugars, unhealthy fats, sodium and various artificial additives, provide little nutritional value and are associated with adverse metabolic effects. These foods contribute significantly to insulin resistance, chronic hyperglycemia, weight gain and low-grade inflammation, all of which are key risk factors for the onset of T2D. Findings from epidemiological studies, such as the NutriNet-Santé cohort, indicate a strong correlation between UPF intake and the increased risk of developing T2D. Meta-analyses reveal that for every 10% increase in UPF consumption, there is a 12–25% increase in the risk of T2D. Cross-sectional studies further confirm that UPF-heavy diets contribute to poor glycemic control and elevated fasting blood glucose levels. Public health interventions targetting the reduction of UPF consumption are crucial to mitigating this global diabetes epidemic. The NOVA food classification system offers a practical framework for identifying and categorizing UPFs and facilitating dietary reforms. Future research should explore the specific roles of food additives and industrial processing techniques in order to reduce the risk of T2D.

Keywords


Diet quality, dietary patterns, obesity and processed foods, type 2 diabetes, ultra-processed foods.



DOI: https://doi.org/10.18520/cs%2Fv127%2Fi10%2F1153-1158