Evidence map›Paper›PMID 35215379›Full record

ArticleNutrients2022

Food Processing: Comparison of Different Food Classification Systems.

Taissa Pereira de Araújo, Milena Miranda de Moraes, Cláudia Afonso, Cristina Santos, Sara S P Rodrigues

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. A perspective of ultra-processed food definitions and classification challenges.Animal frontiers : the review magazine of animal agriculture · 2026
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  18. The role of ultra-processed food in obesity.Nature reviews. Endocrinology · 2025
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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

5 authors.

Taissa Pereira de AraújoFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.ORCID 0000-0002-8876-0615
Milena Miranda de MoraesFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.ORCID 0000-0002-2652-4051
Cláudia AfonsoFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.ORCID 0000-0002-3837-3481
Cristina SantosFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.
Sara S P RodriguesFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.ORCID 0000-0003-0647-5018

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The substitution of minimally processed food and culinary home preparations for ready-to-eat products is increasing worldwide, which is overlooked as a cause of concern. The technological developments and the rise in highly processed food availability have introduced the concept of ultra-processed food (UPF). Food classification systems based on processing are now a new basis for epidemiological research. Different results from these classifications might influence conclusions on the population's consumption of UPF or its association with health outcomes. The aim of this study was to compare classification systems and to find out if their results are comparable when evaluating the extent of high/UPF on the overall diet. Portuguese data from the year 2000 was extracted from the DAFNE-AnemosSoft, and 556 food/beverages items were classified according to five systems. The contribution of UPF was calculated as a percentage of total available amount and discrepancy ranges used for comparisons. Results of UPF availability contributions were: NOVA 10.2%; UNC 15.2%; IFPRI 16.7%; IFIC 17.7%; IARC 47.4%. The highest discrepancy ranges were from alcoholic beverages (97.4%), milk/milk products (94.2%), sugar/sugar products (90.1%), added lipids (74.9%), and cereals/cereal products (71.3%). Inconsistencies among classifications were huge and the contribution from highly/UPF presented high discrepancies. Caution must be taken when comparing and interpreting such data.

Indexed as

Fast FoodsFood HandlingDietDiet Surveysfood classification systemsfood processinghousehold surveysultra-processed food

Identifiers

PMID35215379
PMCPMC8877594

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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 OpenQuestion graph.