Evidence map›Paper›PMID 32943762›Full record

ArticleInternational journal of obesity (2005)2020

The role of lifestyle and non-modifiable risk factors in the development of metabolic disturbances from childhood to adolescence.

Claudia Börnhorst, Paola Russo, Toomas Veidebaum, Michael Tornaritis, Dénes Molnár, Lauren Lissner, Staffan Mårild, Stefaan De Henauw, Luis A Moreno, Anna Floegel and 2 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Epidemiology of metabolic syndrome.Pflugers Archiv : European journal of physiology · 2025
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  11. Association between Cardiorespiratory Fitness and Metabolic Syndrome in Korean Older Adults.International journal of environmental research and public health · 2022
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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 at 8 institutions in 7 countries.

Claudia BörnhorstLeibniz Institute for Prevention Research and Epidemiology-BIPS, 28359, Bremen, Germany.
Paola RussoInstitute of Food Sciences, National Research Council, 83100, Avellino, Italy.
Toomas VeidebaumNational Institute for Health Development, Estonian Centre of Behavioral and Health Sciences, 11619, Tallinn, Estonia.
Michael TornaritisResearch and Education Institute of Child Health, 2035, Strovolos, Cyprus.
Dénes MolnárDepartment of Pediatrics, Medical School, University of Pécs, 7623, Pécs, Hungary.ORCID http://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, 40530, Gothenburg, Sweden.
Staffan MårildDepartment of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy at Gothenburg University, 41685, Gothenburg, Sweden.
Stefaan De HenauwDepartment of Public Health, Ghent University, 9000, 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), Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), 50009, Zaragoza, Spain.ORCID http://orcid.org/0000-0003-0454-653X
Anna FloegelLeibniz Institute for Prevention Research and Epidemiology-BIPS, 28359, Bremen, Germany.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology-BIPS, 28359, Bremen, Germany.ORCID http://orcid.org/0000-0003-3777-570X
Maike WoltersLeibniz Institute for Prevention Research and Epidemiology-BIPS, 28359, Bremen, Germany. wolters@leibniz-bips.de.ORCID http://orcid.org/0000-0002-4943-2141
Leibniz Institute for Prevention Research and Epidemiology - BIPS · DEUniversity of Gothenburg · SEGhent University · BEInstitute of Food Science · ITNational Institute for Health Development · EEUniversidad de Zaragoza · ESUniversity of Bremen · DEUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study aimed to identify the effects of lifestyle, C-reactive protein (CRP) and non-modifiable risk factors on metabolic disturbances in the transition from childhood to adolescence.

methodsIn 3889 children of the IDEFICS/I.Family cohort, latent transition analysis was applied to estimate probabilities of metabolic disturbances based on waist circumference, blood pressure, blood glucose, and lipids assessed at baseline and at 2- and 6-year follow-ups. Multivariate mixed-effects models were used to assess the age-dependent associations of lifestyle, non-modifiable risk factors and CRP, with the transformed probabilities of showing abdominal obesity, hypertension, dyslipidemia, or several metabolic disturbances (reference: being metabolically healthy).

resultsHigher maternal body mass index, familial hypertension as well as higher CRP z-score increased the risk for all four metabolic outcomes while low/medium parental education increased the risk of abdominal obesity and of showing several metabolic disturbances. Out of the lifestyle factors, the number of media in the bedroom, membership in a sports club, and well-being were associated with some of the outcomes. For instance, having at least one media in the bedroom increased the risk for showing several metabolic disturbances where the odds ratio (OR) markedly increased with age (1.30 [95% confidence interval 1.18; 1.43] at age 8; 1.18 [1.14; 1.23] for interaction with age; i.e., resulting in an OR of 1.30 × 1.18 = 1.53 at age 9 and so forth). Further, entering puberty at an early age was strongly associated with the risk of abdominal obesity (2.43 [1.60; 3.69] at age 8; 0.75 [0.69; 0.81] for interaction with age) and the risk of showing several metabolic disturbances (2.46 [1.53; 3.96] at age 8; 0.71 [0.65; 0.77] for interaction with age).

conclusionsVarious factors influence the metabolic risk of children revealing the need for multifactorial interventions. Specifically, removing media from children's bedroom as well as membership in a sports club seem to be promising targets for prevention.

Indexed as

Life StyleAdolescentBlood GlucoseBlood PressureBody Mass IndexChildChild, PreschoolCohort StudiesC-Reactive ProteinEuropeFemaleHumansLipidsMaleMetabolic DiseasesObesity, AbdominalBlood GlucoseC-Reactive ProteinLipids

Identifiers

PMID32943762
PMCPMC7577850
OpenAlexW3087356769

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.