Skip to main content
Top
Published in: BMC Medicine 1/2022

Open Access 01-12-2022 | Type 2 Diabetes | Research article

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

Published in: BMC Medicine | Issue 1/2022

Login to get access

Abstract

Background

The overall consumption of ultra-processed food (UPF) has previously been associated with type 2 diabetes. However, due to the substantial heterogeneity of this food category, in terms of their nutritional composition and product type, it remains unclear whether previous results apply to all underlying consumption patterns of UPF.

Methods

Of 70,421 participants (35–70 years, 58.6% women) from the Lifelines cohort study, dietary intake was assessed with a food frequency questionnaire. UPF was identified according to the NOVA classification. Principal component analysis (PCA) was performed to derive UPF consumption patterns. The associations of UPF and adherence to UPF consumption patterns with incidence of type 2 diabetes were studied with logistic regression analyses adjusted for age, sex, diet quality, energy intake, alcohol intake, physical activity, TV watching time, smoking status, and educational level.

Results

During a median follow-up of 41 months, a 10% increment in UPF consumption was associated with a 25% higher risk of developing type 2 diabetes (1128 cases; OR 1.25 [95% CI 1.16, 1.34]). PCA revealed four habitual UPF consumption patterns. A pattern high in cold savory snacks (OR 1.16 [95% CI 1.09, 1.22]) and a pattern high in warm savory snacks (OR 1.15 [95% CI 1.08, 1.21]) were associated with an increased risk of incident type 2 diabetes; a pattern high in traditional Dutch cuisine was not associated with type 2 diabetes incidence (OR 1.05 [95% CI 0.97, 1.14]), while a pattern high in sweet snacks and pastries was inversely associated with type 2 diabetes incidence (OR 0.82 [95% CI 0.76, 0.89]).

Conclusions

The heterogeneity of UPF as a general food category is reflected by the discrepancy in associations between four distinct UPF consumption patterns and incident type 2 diabetes. For better public health prevention, research is encouraged to further clarify how different UPF consumption patterns are related to type 2 diabetes.
Appendix
Available only for authorised users
Literature
1.
go back to reference Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:107843. https://doi.org/10.1016/j.diabres.2019.107843 Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:107843. https://​doi.​org/​10.​1016/​j.​diabres.​2019.​107843
2.
go back to reference Ardisson Korat A V, Willett WC, Hu FB, Hu F. Diet, lifestyle, and genetic risk factors for type 2 diabetes: a review from the Nurses’ Health Study, Nurses’ Health Study 2, and Health Professionals’ Follow-up. Curr Nutr Rep. 2014;3:345–54. https://doi.org/10.1007/s13668-014-0103-5 Ardisson Korat A V, Willett WC, Hu FB, Hu F. Diet, lifestyle, and genetic risk factors for type 2 diabetes: a review from the Nurses’ Health Study, Nurses’ Health Study 2, and Health Professionals’ Follow-up. Curr Nutr Rep. 2014;3:345–54. https://​doi.​org/​10.​1007/​s13668-014-0103-5
5.
go back to reference Schwingshackl L, Bogensberger B, Hoffmann G. Diet quality as assessed by the healthy eating index, alternate healthy eating index, dietary approaches to stop hypertension score, and health outcomes: an updated systematic review and meta-analysis of cohort studies. J Acad Nutr Diet. 2018;118:74–100.e11. https://doi.org/10.1016/j.jand.2017.08.024 Schwingshackl L, Bogensberger B, Hoffmann G. Diet quality as assessed by the healthy eating index, alternate healthy eating index, dietary approaches to stop hypertension score, and health outcomes: an updated systematic review and meta-analysis of cohort studies. J Acad Nutr Diet. 2018;118:74–100.e11. https://​doi.​org/​10.​1016/​j.​jand.​2017.​08.​024
9.
go back to reference Monteiro CA, Cannon G, Levy R, Moubarac J-C, Jaime P, Parra APMDCMLD. NOVA. The star shines bright. World Nutr. 2016;7:28–38. Monteiro CA, Cannon G, Levy R, Moubarac J-C, Jaime P, Parra APMDCMLD. NOVA. The star shines bright. World Nutr. 2016;7:28–38.
15.
20.
29.
go back to reference Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 1985;39(Suppl 1):5–41.PubMed Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 1985;39(Suppl 1):5–41.PubMed
35.
go back to reference Von Eckardstein A, Schulte H, Assmann G. Risk for diabetes mellitus in middle-aged Caucasian male participants of the PROCAM study: Implications for the definition of impaired fasting glucose by the American Diabetes Association. J Clin Endocrinol Metab. 2000;85(9):3101–8. https://doi.org/10.1210/jcem.85.9.6773.CrossRef Von Eckardstein A, Schulte H, Assmann G. Risk for diabetes mellitus in middle-aged Caucasian male participants of the PROCAM study: Implications for the definition of impaired fasting glucose by the American Diabetes Association. J Clin Endocrinol Metab. 2000;85(9):3101–8. https://​doi.​org/​10.​1210/​jcem.​85.​9.​6773.CrossRef
54.
go back to reference Ngwa JS, Cabral HJ, Cheng DM, Pencina MJ, Gagnon DR, LaValley MP, et al. A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study. BMC Med Res Methodol. 2016;16(1):1–12. https://doi.org/10.1186/s12874-016-0248-6.CrossRef Ngwa JS, Cabral HJ, Cheng DM, Pencina MJ, Gagnon DR, LaValley MP, et al. A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study. BMC Med Res Methodol. 2016;16(1):1–12. https://​doi.​org/​10.​1186/​s12874-016-0248-6.CrossRef
Metadata
Title
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
Publication date
01-12-2022
Publisher
BioMed Central
Keyword
Type 2 Diabetes
Published in
BMC Medicine / Issue 1/2022
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-021-02200-4

Other articles of this Issue 1/2022

BMC Medicine 1/2022 Go to the issue