Does the concept of “ultra-processed foods” help inform dietary guidelines, beyond conventional classification systems? NO

67Citations
Citations of this article
122Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The Nova classification of ultra-processed foods (UPFs) rests on poorly defined food processes and the presence of food additives from a chemically heterogeneous group, easily leading to misclassification. UPFs are claimed to promote overconsumption of energy and obesity due to high palatability, but little evidence supports effects beyond those that can be accounted for by nutrient composition, energy density, and food matrices. Observational studies link dietary intake of UPFs with obesity, but none have demonstrated independent associations after controlling for likely confounders. A highly cited randomized controlled feeding study that compared a UPF diet with an unprocessed diet showed a rapidly weaning effect on energy intake that can be entirely explained by more conventional and quantifiable dietary factors, including energy density, intrinsic fiber, glycemic load, and added sugar. Clearly, many aspects of food processing can affect health outcomes, but conflating them into the notion of ultra-processing is unnecessary, because the main determinants of chronic disease risk are already captured by existing nutrient profiling systems. In conclusion, the Nova classification adds little to existing nutrient profiling systems; characterizes several healthy, nutrient-dense foods as unhealthy; and is counterproductive to solve the major global food production challenges.

Cite

CITATION STYLE

APA

Astrup, A., Monteiro, C. A., & Ludwig, D. S. (2022). Does the concept of “ultra-processed foods” help inform dietary guidelines, beyond conventional classification systems? NO. American Journal of Clinical Nutrition, 116(6), 1482–1488. https://doi.org/10.1093/ajcn/nqac123

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free