Evidence map›Paper›PMID 39899498›Full record

ArticlePloS one2025

Transition of clinical biomarker status from childhood into adolescence-A prospective study in children from eight European countries.

Anna Floegel, Paola Russo, Toomas Veidebaum, Michael Tornaritis, Dénes Molnár, Lauren Lissner, Stefaan De Henauw, Luis A Moreno, Wolfgang Ahrens, Manuela Marron and 1 more

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2025. 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. 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.

Anna FloegelLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.ORCID https://orcid.org/0000-0001-9806-4288
Paola RussoInstitute of Food Sciences, National Research Council, Avellino, Italy.
Toomas VeidebaumNational Institute for Health Development, Estonian Centre of Behavioral and Health Sciences, Tallinn, Estonia.
Michael TornaritisResearch and Education Institute of Child Health, Strovolos, Cyprus.
Dénes MolnárDepartment of Pediatrics, Medical School, University of Pécs, Pécs, Hungary.ORCID https://orcid.org/0000-0002-3675-7019
Lauren LissnerSection for Epidemiology and Social Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Stefaan De HenauwDepartment of Public Health, Ghent University, Ghent, Belgium.
Luis A MorenoGENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.ORCID https://orcid.org/0000-0003-3777-570X
Manuela MarronLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Claudia BörnhorstLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUnderstanding factors influencing clinical biomarkers is important for the prevention of chronic disease. This study aimed to estimate transitions of biomarker status from childhood to adolescence and to identify determinants of biomarker status in early life in a prospective children cohort. SUBJECTS AND

methodsOur sample comprised 1295 children participating in the baseline (2007/08) and second follow-up examination (2013/14) of the multi-center IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS)/I.Family study. Clinical blood biomarkers including glycated hemoglobin A1c (HbA1c), high-density lipoprotein cholesterol (HDL-cholesterol), triglycerides, C-reactive protein (CRP), interleukin 6, ferritin, leptin and insulin-like growth factor 1 (IGF-1) were repeatedly measured in 2007/2008 (age range: 3.0 to <10.0 years) and in 2013/2014. Latent transition analysis was used to estimate biomarker statuses and transition probabilities; determinants of biomarker status were estimated using mixed-effects models.

resultsFour distinct biomarker statuses were identified: (1) "normal" (all biomarkers low/medium; except HDL-cholesterol; reference), (2) "low leptin/IGF-1/HbA1c", (3) "dyslipidemia/high leptin" and (4) "inflammation". Children classified as "low leptin/IGF-1/HbA1c" at baseline were most likely to stay in this status (89.8%) or to change to the "normal" status (10%) during follow-up. Compared to "normal" children, children classified as "low leptin/IGF-1/HbA1c" were less likely to have a family history of diabetes (0.26 [0.08;0.86]; odds ratio (OR) and 95% confidence interval) or hypertension (0.53 [0.29;0.99]) and the children (0.32 [0.27;0.38]) as well as their mothers (0.93 [0.88;0.98]) had a lower BMI. Children from families with low/medium education had a 55% [9%-119%] higher risk of being in the "dyslipidemia/high leptin" and 49% [1%-121%] higher risk of being in the "inflammation" status as compared to children in the "normal" status. Membership in a sports club reduced the latter risks by 28% [2%-47%] and 40% [17%-56%], respectively.

conclusionsEuropean children showed distinct phenotypes for the investigated biomarkers. Especially parental characteristics like a family history of diabetes or hypertension, a high maternal BMI, or low/medium education were associated with unfavorable biomarker status in children.

Indexed as

BiomarkersAdolescentChildChild, PreschoolCholesterol, HDLC-Reactive ProteinEuropeFemaleGlycated HemoglobinHumansInsulin-Like Growth Factor ILeptinMaleProspective StudiesBiomarkersCholesterol, HDLC-Reactive ProteinGlycated HemoglobinInsulin-Like Growth Factor ILeptin

Identifiers

PMID39899498
PMCPMC11790143

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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.