Evidence map›Paper›PMID 37548217›Full record

ArticlePublic health nutrition2023

A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation.

Daniela Neri, Kamila Tiemann Gabe, Caroline Dos Santos Costa, Euridice Martinez Steele, Fernanda Rauber, Dirce Maria Marchioni, Maria Laura da Costa Louzada, Renata Bertazzi Levy, Carlos Augusto Monteiro

Abstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The role of ultra-processed food in obesity.Nature reviews. Endocrinology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Adaptation and validation of a tool for assessing food knowledge based on the Nova classification for the Brazilian context.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
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

9 authors.

Daniela NeriCenter for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.ORCID 0000-0003-1397-9126
Kamila Tiemann GabeCenter for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.ORCID 0000-0001-5138-9552
Caroline Dos Santos CostaCenter for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.ORCID 0000-0002-3522-1546
Euridice Martinez SteeleCenter for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.
Fernanda RauberCenter for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.ORCID 0000-0001-9693-7954
Dirce Maria MarchioniDepartment of Nutrition, School of Public Health, University of São Paulo, Sao Paulo, Brazil.ORCID 0000-0002-6810-5779
Maria Laura da Costa LouzadaCenter for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.
Renata Bertazzi LevyCenter for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.
Carlos Augusto MonteiroCenter for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.ORCID 0000-0002-3777-1533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis paper describes the first web-based self-completed 24-h recall designed to categorise food intake according to Nova groups - Nova24h - and its agreement with a reference tool in estimating the dietary relative contribution of the four Nova food groups (% of total energy intake).

designComparisons of estimates of dietary relative contributions of Nova groups obtained by Nova24h and one standard interviewer-led 24-h recall.

settingNationwide adult cohort study in Brazil.

participantsThe subjects were 186 participants of the NutriNet Brasil Cohort Study (

resultsNo statistically significant differences were observed between the Nova24h and the reference tool mean contributions of unprocessed or minimally processed foods (52·3 %

conclusionsNova24h is a suitable tool for estimating the dietary relative energy contribution of Nova food groups in the NutriNet Brasil cohort. New studies are necessary to verify its adequacy in other populations.

Indexed as

DietFast FoodsAdultCohort StudiesEnergy IntakeFood HandlingHumansInternetComparative studyDietary assessmentNova food classification systemUltra-processed foodsweb-based self-completed 24-h recall

Identifiers

PMID37548217
PMCPMC10564608

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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.