Observational study in Obesity (Silver Spring, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06317883 (Longitudinal Study To Determine The Risk Factors Associated With Childhood Obesity), which is not on this map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing 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.
Longitudinal Study To Determine The Risk Factors Associated With Childhood Obesity
TypeobservationalSponsorConsorcio Centro de Investigación Biomédica en Red (CIBER)Ran2019 to 2032Enrolled1,508ConditionsChild Obesity
3 · Its place in the literature
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
25 authors.
Andrea Jimeno-MartínezGrowth, Exercise, NUtrition and Development (GENUD-B34_23R) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.ORCID https://orcid.org/0000-0003-3072-4168
María L Miguel-BergesGrowth, Exercise, NUtrition and Development (GENUD-B34_23R) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.ORCID https://orcid.org/0000-0002-2411-9538
Ivie ManeschyGrowth, Exercise, NUtrition and Development (GENUD-B34_23R) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.ORCID https://orcid.org/0000-0002-0792-9061
Mercedes Gil-CamposBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0002-9007-0242
Rosaura LeisBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Nancy BabioBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0003-3527-5277
Pilar De Miguel-EtayoGrowth, Exercise, NUtrition and Development (GENUD-B34_23R) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.ORCID https://orcid.org/0000-0001-6173-5850
Santiago Navas-CarreteroBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0002-5163-2230
Olga PortolésBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Montserrat Fitó ColomerBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Cristina Castro-ColladoMaimonides Biomedical Research Institute of Cordoba (IMIBIC), Metabolism and Investigation Unit, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.
Rosaura Picáns-LeisNeonatology Service, RICORS-SAMID-CIBERER, University Clinical Hospital of Santiago, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.
Miguel Seral-CortésGrowth, Exercise, NUtrition and Development (GENUD-B34_23R) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.ORCID https://orcid.org/0000-0003-2198-2704
J Alfredo MartínezBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0001-5218-6941
José Jurado-CastroBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0002-0198-2793
Rocío Vázquez-CobelaBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0002-3155-1601
Cristina Rey-ReñonesDepartment of Basic Medical Sciences and Department of Medicine and Surgery, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, Reus, Catalunya, Spain.ORCID https://orcid.org/0000-0003-2017-8220
Belén Pastor-VillaescusaMaimonides Biomedical Research Institute of Cordoba (IMIBIC), Metabolism and Investigation Unit, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.ORCID https://orcid.org/0000-0003-0817-6804
Francisco Llorente-CantareroBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Karla-Alejandra Pérez-VegaBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Jordi Salas-SalvadóBiomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0003-2700-7459
Luis A MorenoGrowth, Exercise, NUtrition and Development (GENUD-B34_23R) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.ORCID https://orcid.org/0000-0003-0454-653X
Guiomar MasipGrowth, Exercise, NUtrition and Development (GENUD-B34_23R) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.ORCID https://orcid.org/0000-0001-6311-5276
CORALS group
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
objectiveThis study aimed to identify sex-specific eating behavior profiles and assess the associations between eating behaviors subscales and profiles and body composition indices in Spanish preschoolers from the CORALS cohort.
methodsWe conducted a cross-sectional analysis of baseline data from 1208 children aged 3-6 years (50.1% girls) from the CORALS cohort. Eating behaviors were assessed using the Child Eating Behavior Questionnaire (CEBQ). Sex-specific latent profile analyses were conducted separately for girls and boys. Associations of CEBQ subscales and profiles with BMI, fat mass index, fat-free mass index, and waist to height ratio (z scores) were examined using multiple linear regression models adjusted for sociodemographic variables, energy intake, playing outdoors, and sleep duration.
resultsFour eating behavior profiles were identified in both sexes: controlled, avid, typical, and avoidant. Food approach subscales and avid eater profile were positively associated with body composition indices, whereas food avoidance subscales and avoidant and controlled profiles showed inverse associations. Controlled eater profile showed opposite associations with fat-free mass by sex: positive associations in boys (β = 0.42, 95% CI: 0.21, 0.62) but negative in girls (β = -0.55 95% CI: -0.77, -0.32).
conclusionsEating behavior profiles were associated with body composition indices similarly in boys and girls, with the exception of the controlled eater profile in relation to fat-free mass index, for which the association differed by sex. Combining subscale-level and profile-level approaches may improve understanding of early eating behavior patterns and their role in body composition development.
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.
Eating Behavior Latent Profiles and Their Associations With Body Composition in Early Childhood: The CORALS Cohort. · full record | OpenQuestion