Evidence map›Paper›PMID 26297214›Full record

ArticleEuropean journal of epidemiology2016

Associations between early body mass index trajectories and later metabolic risk factors in European children: the IDEFICS study.

Claudia Börnhorst, Kate Tilling, Paola Russo, Yannis Kourides, Nathalie Michels, Denés Molnár, Gerado Rodríguez, Luis A Moreno, Vittorio Krogh, Yoav Ben-Shlomo and 2 more

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Article in European journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Skeletal Muscle Mass Measured Noninvasively by DJournal of pediatrics. Clinical practice · 2025
    Article
  2. Observational
  3. Epidemiology of metabolic syndrome.Pflugers Archiv : European journal of physiology · 2025
    Review
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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

12 authors.

Claudia BörnhorstLeibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany. boern@bips.uni-bremen.de.ORCID 0000-0001-7587-603X
Kate TillingSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Paola RussoInstitute of Food Sciences, National Research Council, Avellino, Italy.
Yannis KouridesDepartment of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia.
Nathalie MichelsDepartment of Public Health, Ghent University, Ghent, Belgium.
Denés MolnárDepartment of Pediatrics, University of Pécs, Pecs, Hungary.
Gerado RodríguezGENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza, Zaragoza, Spain.
Luis A MorenoGENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza, Zaragoza, Spain.
Vittorio KroghDepartment of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Yoav Ben-ShlomoSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.
Iris PigeotLeibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Faster growth seems to be a common factor in several hypotheses relating early life exposures to subsequent health. This study aims to investigate the association between body mass index (BMI) trajectories during infancy/childhood and later metabolic risk in order to identify sensitive periods of growth affecting health. In a first step, BMI trajectories of 3301 European children that participated in the multi-centre Identification and Prevention of Dietary and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) study were modelled using linear-spline mixed-effects models. The estimated random coefficients indicating initial subject-specific BMI and rates of change in BMI over time were used as exposure variables in a second step and related to a metabolic syndrome (MetS) score and its single components based on conditional regression models (mean age at outcome assessment: 8.5 years). All exposures under investigation, i.e. BMI at birth, rates of BMI change during infancy (0 to <9 months), early childhood (9 months to <6 years) and later childhood (≥6 years) as well as current BMI z-score were significantly associated with the later MetS score. Associations were strongest for the rate of BMI change in early childhood (1.78 [1.66; 1.90]; β estimate and 99 % confidence interval) and current BMI z-score (1.16 [0.96; 1.38]) and less pronounced for BMI at birth (0.62 [0.47; 0.78]). Results slightly differed with regard to the single metabolic factors. Starting from birth rapid BMI growth, especially in the time window of 9 months to <6 years, is significantly related to later metabolic risk in children. Much of the associations of early BMI growth may further be mediated through the effects on subsequent BMI growth.

Indexed as

Body Mass IndexChild DevelopmentWhite PeopleChildChild, PreschoolEuropeFemaleHumansInfantInfant, NewbornLongitudinal StudiesMaleMetabolic SyndromeModels, StatisticalObesityRisk FactorsChildhood BMI growthData reductionIDEFICS studyLinear-spline mixed-effects modelMetabolic risk score

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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.