Evidence map›Paper›PMID 39875635›Full record

ArticleScientific reports2025

Childhood BMI trajectories and sociodemographic factors in an Italian pediatric population.

Erich Batzella, Joaquin Gutierrez de Rubalcava Doblas, Gloria Porcu, Silvia Bressan, Elisa Barbieri, Carlo Giaquinto, Anna Cantarutti, Cristina Canova

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

8 authors.

Erich BatzellaUnit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco- Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Joaquin Gutierrez de Rubalcava DoblasDivision of Paediatric Diabetes and Childhood Metabolic Diseases, Department for Women's and Children's Health, University of Padua, Padua, Italy.
Gloria PorcuUnit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco- Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Silvia BressanDivision of Paediatric Emergency Department, Department for Women's and Children's Health, University of Padua, Padua, Italy.
Elisa BarbieriDivision of Paediatric Infectious Diseases, Department for Women's and Children's Health, University of Padua, Padua, Italy.
Carlo GiaquintoDivision of Paediatric Infectious Diseases, Department for Women's and Children's Health, University of Padua, Padua, Italy.
Anna CantaruttiDivision of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Via Bicocca degli Arcimboldi, 8, Milan, 20126, Italy. Anna.cantarutti@unimib.it.
Cristina CanovaUnit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco- Vascular Sciences and Public Health, University of Padua, Padua, Italy.

Funding

Research initiatives for innovative technologies and pathways in the health and welfare sector,"- D.D. 931 of 06/06/2022, PNC0000002 DARE - Digital Lifelong Prevention B53C22006440001
6 · The paper itself

Abstract

Childhood obesity is a growing global concern due to its long-term health consequences. Yet, more research relying on multiple time-point BMI measurements is warranted to gain further insight into obesity's temporal trends. We aimed to identify BMI trajectories in children aged 2-10 years and evaluate their association with sociodemographic factors. This retrospective cohort study utilized data from the PEDIANET registry, containing sociodemographic, clinical, and prescribing information on patients assisted by Italian family pediatricians, linked to the corresponding area deprivation index. 29,576 children with at least 10 years of follow-up, born at term with normal birthweight, and at least three plausible BMI measurements were identified. BMI z-score trajectories were calculated using Group-Based Trajectory Modeling, and mixed multinomial logistic regression was used to assess their association with the sociodemographic factors. A secondary analysis examined BMI trajectories from ages 2-7 years (n = 58,509). Four BMI z-scores trajectories, all with quadratic shape, were identified as the optimal fit: "stable-low-weight" (27.5%), "normal-weight" (40.9%), "stable-moderate-increase" (24.2%), and "overweight-to-obese" (7.5%). Females, children residing in Southern and Island regions, and those from more deprived socioeconomic areas had a higher probability of following the "overweight-to-obese" group compared to the "normal-weight" trajectory. Sex and area of residence had similar effects on the "stable-moderate-increase" trajectory. Conversely, females and children residing in Central Italy were less likely to belong to the "stable-low-weight trajectory". This study highlighted a considerable heterogeneity in BMI trajectories in pediatric age, emphasizing the effect of sociodemographic inequalities on growth patterns with models capable of capturing the dynamic nature of the phenomenon.

Indexed as

Body Mass IndexPediatric ObesityChildChild, PreschoolFemaleHumansItalyMaleRetrospective StudiesSociodemographic FactorsSocioeconomic FactorsBody mass indexChildhood obesityChildhood overweightSocial inequalitiesSociodemographic factorsTrajectory

Identifiers

PMID39875635
PMCPMC11775260

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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.