Evidence map›Paper›PMID 42316104›Full record

ArticleBMC public health2026

Consumption of ultra-processed foods and associated factors in Spanish children aged 8-12 years: a cross-sectional analysis within the INMA cohort study.

Laura-María Compañ-Gabucio, Alejandro Oncina-Cánovas, Laura Torres-Collado, Guillermo Fernández-Tardón, Adonina Tardón, Loreto Santa-Marina Rodríguez, Ziortza Barroeta, Martine Vrijheid, Sarah Warkentin, Sabrina Llop and 5 more

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Laura-María Compañ-GabucioGrupo de Epidemiología de la Nutrición, Universidad Miguel Hernández (UMH), Sant Joan d'Alacant, Alicante, Valencian Community, 03550, Spain.
Alejandro Oncina-CánovasGrupo de Epidemiología de la Nutrición, Universidad Miguel Hernández (UMH), Sant Joan d'Alacant, Alicante, Valencian Community, 03550, Spain.
Laura Torres-ColladoGrupo de Epidemiología de la Nutrición, Universidad Miguel Hernández (UMH), Sant Joan d'Alacant, Alicante, Valencian Community, 03550, Spain.
Guillermo Fernández-TardónSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Community of Madrid, Instituto de Salud Carlos III, Community of Madrid, Madrid, 28029, Spain.
Adonina TardónHealth Research Institute of the Principality of Asturias (ISPA), Asturias, Asturias, Principality of Asturias, Oviedo, 33011, Spain.
Loreto Santa-Marina RodríguezSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Community of Madrid, Instituto de Salud Carlos III, Community of Madrid, Madrid, 28029, Spain.
Ziortza BarroetaDepartment of Preventive Medicine and Public Health, University of the Basque Country UPV/EHU, Basque Country, Leioa, Biscay, Basque Country, 48940, Spain.
Martine VrijheidSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Community of Madrid, Instituto de Salud Carlos III, Community of Madrid, Madrid, 28029, Spain.
Sarah WarkentinSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Community of Madrid, Instituto de Salud Carlos III, Community of Madrid, Madrid, 28029, Spain.
Sabrina LlopSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Community of Madrid, Instituto de Salud Carlos III, Community of Madrid, Madrid, 28029, Spain.
Raquel Soler-BlascoSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Community of Madrid, Instituto de Salud Carlos III, Community of Madrid, Madrid, 28029, Spain.
Carolina Ojeda-BelokonGrupo de Epidemiología de la Nutrición, Universidad Miguel Hernández (UMH), Sant Joan d'Alacant, Alicante, Valencian Community, 03550, Spain.
Manuela García-de-la-HeraGrupo de Epidemiología de la Nutrición, Universidad Miguel Hernández (UMH), Sant Joan d'Alacant, Alicante, Valencian Community, 03550, Spain.
Jesús VioqueGrupo de Epidemiología de la Nutrición, Universidad Miguel Hernández (UMH), Sant Joan d'Alacant, Alicante, Valencian Community, 03550, Spain. vioque@umh.es.
Sandra González-PalaciosGrupo de Epidemiología de la Nutrición, Universidad Miguel Hernández (UMH), Sant Joan d'Alacant, Alicante, Valencian Community, 03550, Spain.

Funding

Agency for Management of University and Research Grants with a Beatriu de Pinós post-doctoral fellowship 2021 BP 00058Consorcio Centro de Investigación Biomédica en Red ESP24PI02/2024General Council of Official Nursing Boards of Spain and the Spanish Institute of Nursing Research grant code PN22_CGE45Generalitat Valenciana CIGE2023/142Generalitat Valenciana PROMETEO-CIPROM/2024/66Instituto de Salud Carlos III PI11/01007Instituto de Salud Carlos III Project PI23/01568MCIN/AEI/ 10.13039/501100011033, and support from the Generalitat de Catalunya CEX2023-0001290-S"Personal Investigador en Formación" from the "Universidad Miguel Hernández de Elche" 04-541-6-2024-0153-N
6 · The paper itself

Abstract

backgroundThe consumption of ultra-processed foods (UPF) has been associated with adverse health effects. The predictors of consumption, particularly in high-intake groups like children and adolescents, are scarcely understood.

methodsWe evaluated UPF consumption and associated factors among male and female Spanish children aged 8-12 years participating in the INMA birth cohort. We cross-sectionally analyzed data from 1565 mother-child pairs at age 8 and 314 pairs at age 12. Children's diets were assessed using validated food frequency questionnaires. UPF consumption was defined using the NOVA classification and categorized into tertiles. The associations between maternal-child characteristics and children's UPF consumption were analyzed using multinomial logistic regression to estimate relative risk ratios (RRR) and 95% confidence intervals (95%CI).

resultsAt age 8, high UPF consumption was associated with low maternal social class, RRR = 2.22 (1.46-3.37), moderate maternal UPF consumption during pregnancy, RRR = 1.87 (1.35-2.58), high maternal UPF consumption during pregnancy, RRR = 3.47 (2.40-4.99), being male, RRR = 1.76 (1.34-2.30), and high children's TV viewing, RRR = 1.76 (1.19-2.60). At age 12, high UPF consumption was associated with high maternal UPF consumption during pregnancy, RRR = 3.09 (1.27-7.50), and high children's TV viewing, RRR = 2.34 (1.05-5.21), although it was inversely associated with maternal university education, RRR = 0.21 (0.06-0.69), and high children's physical activity, RRR = 0.43 (0.20-0.93).

conclusionsMaternal factors such as high UPF consumption during pregnancy, low social class and low education level, and low physical activity and TV watching during childhood and adolescence, were predictors of higher UPF consumption at the age of 8 and 12 years.

Indexed as

DietFast FoodsBirth CohortChildCohort StudiesCross-Sectional StudiesFemaleHumansMaleSpainAdolescentsBirth cohort studyChildrenDeterminantsSex-specificUltra-Processed Foods

Identifiers

PMID42316104
PMCPMC13523201

What Socratic holds

Textmetadata
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 Socratic graph.