Evidence map›Paper›PMID 40655201›Full record

ReviewFood & nutrition research2025

Definitions of ultra-processed foods beyond NOVA: a systematic review and evaluation.

Anine Christine Medin, Stine Rambekk Gulowsen, Synne Groufh-Jacobsen, Ingunn Berget, Ida Synnøve Grini, Paula Varela

Abstract readReview
In one paragraph

Review in Food & nutrition research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anine Christine MedinKristiansand Norway, Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, Priority Research Centre Lifecourse Nutrition, Kristiansand, Norway.
Stine Rambekk GulowsenKristiansand Norway, Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, Priority Research Centre Lifecourse Nutrition, Kristiansand, Norway.
Synne Groufh-JacobsenKristiansand Norway, Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, Priority Research Centre Lifecourse Nutrition, Kristiansand, Norway.
Ingunn BergetNofima AS, Ås, Norway.
Ida Synnøve GriniNofima AS, Ås, Norway.
Paula VarelaNofima AS, Ås, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ultra-processed foods (UPFs) are associated with negative health outcomes, but current classification systems, including the dominant NOVA system, are typically not suitable for identifying which factors of these foods may be harmful. New ways of defining UPFs are needed to better understand how food processing affects health. Objective: To identify classification systems that include a category for ultra-processed or highly processed foods with a focus on comparing their definitions and provide a current evaluation of available alternatives to NOVA. Design: A systematic literature review was conducted following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, with the search strategy developed in collaboration with a university librarian. The literature search was completed on 18 December 2023, using databases Medline, Embase (via Ovid), and Web of Science. No human participants were included. Results: We identified six systems - NOVA, European Prospective Investigation into Cancer and Nutrition (EPIC), International Food Policy Research Institute (IFPRI), University of North Carolina (UNC), UnProcessed Pantry Project (UP3), and Siga - that categorize highly processed food or UPFs. These systems differ in structure and detail, with NOVA, EPIC, and Siga providing specific examples of processing techniques. Regarding additives, NOVA, Siga, and UP3 include them explicitly, with Siga offering the most detailed categorization based on additives and ingredients. Siga also includes quantitative measures for nutritional quality, including cut-offs for sugar, fat, and salt, while IFPRI and UP3 address nutritional quality non-quantitatively. Discussion: When comparing NOVA's UPF category with the highly processed food or UPF categories used in the other five identified systems, we found that none specifies processing techniques clearly. Both NOVA and Siga define additives unique to their UPF categories. Siga stands out by addressing the diverse risks associated with additives and offering quantitative nutritional quality criteria, thus addressing some of the criticisms of how UPFs are commonly defined. Conclusions: Siga represents a valuable, but not final, step forward in classifying UPFs and could serve as a reference in developing a new operational definition for UPFs.

Indexed as

classification systemdietfood categorizationfood processinghighly processed foodsnutritionprocessed foods

Identifiers

PMID40655201
PMCPMC12255158

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.