Evidence map›Paper›PMID 37522809›Full record

ArticlePublic health nutrition2023

Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study.

Francine Silva Dos Santos, Eurídice Martinez Steele, Caroline Dos Santos Costa, Kamila Tiemman Gabe, Maria Alvim Leite, Rafael Moreira Claro, Mathilde Touvier, Bernard Srour, Maria Laura da Costa Louzada, Renata Bertazzi Levy and 1 more

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 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.

  1. Household income and food addiction symptoms predict ultra-processed foods intake in Brazilian university students: implications for policy.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Nova food classification system: a contribution from Brazilian epidemiology.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2025
    Article
  11. Review
  12. Article
  13. 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

11 authors.

Francine Silva Dos SantosDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo01246-904, Brazil.
Eurídice Martinez SteeleDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo01246-904, Brazil.
Caroline Dos Santos CostaDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo01246-904, Brazil.ORCID 0000-0002-3522-1546
Kamila Tiemman GabeCenter for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.ORCID 0000-0001-5138-9552
Maria Alvim LeiteCenter for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-2774-7126
Rafael Moreira ClaroDepartment of Nutrition, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Mathilde TouvierSorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Villetaneuse, France.
Bernard SrourSorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Villetaneuse, France.ORCID 0000-0002-1277-3380
Maria Laura da Costa LouzadaDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo01246-904, Brazil.
Renata Bertazzi LevyCenter for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.
Carlos Augusto MonteiroDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo01246-904, Brazil.ORCID 0000-0002-3777-1533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the prospective association of two diet quality scores based on the Nova food classification with BMI gain.

designThe NutriNet-Brasil cohort is an ongoing web-based prospective study with continuous recruitment of participants aged ≥ 18 years since January 2020. A short 24-h dietary recall screener including 'yes/no' questions about the consumption of whole plant foods (WPF) and ultra-processed foods (UPF) was completed by participants at baseline. The Nova-WPF and the Nova-UPF scores were computed by adding up positive responses regarding the consumption of thirty-three varieties of WPF and twenty-three varieties of UPF, respectively. Participants reported their height at baseline and their weight at both baseline and after approximately 15 months of follow-up. A 15-month BMI (kg/m

settingBrazil.

participants9551 participants from the NutriNet-Brasil cohort.

resultsIncreasing quintiles of the Nova-UPF score were linearly associated with higher risk of BMI gain (relative risk Q5/Q1 = 1·34; 95 % CI 1·15, 1·56), whereas increasing quintiles of the Nova-WPF score were linearly associated with lower risk (relative risk Q5/Q1 = 0·80; 95 % CI 0·69, 0·94). We identified a moderate inverse correlation between the two scores (-0·33) and a partial mediating effect of the alternative score: 15 % for the total effect of the Nova-UPF score and 25 % for the total effect of the Nova-WPF score.

conclusionsThe Nova-UPF and Nova-WPF scores are independently associated with mid-term BMI gain further justifying their use in diet quality monitoring systems.

Indexed as

Fast FoodsFood HandlingBrazilCohort StudiesDietHumansProspective StudiesWeight GainBMIBrazilCohort studiesDiet quality metricsFood processing

Identifiers

PMID37522809
PMCPMC10641608

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.