Evidence map›Paper›PMID 30159304›Full record

ArticleFrontiers in pediatrics2018

Attrition in the European Child Cohort IDEFICS/I.Family: Exploring Associations Between Attrition and Body Mass Index.

Malte Langeheine, Hermann Pohlabeln, Fabio Lauria, Toomas Veidebaum, Michael Tornaritis, Denes Molnar, Gabriele Eiben, Stefaan de Henauw, Luis A Moreno, Garrath Williams and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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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 8 countries.

Malte LangeheineLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Hermann PohlabelnLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Fabio LauriaInstitute of Food Sciences, National Research Council, Avellino, Italy.
Toomas VeidebaumNational Institute for Health Development, Tallinn, Estonia.
Michael TornaritisResearch and Education Institute of Child Health, Strovolos, Cyprus.
Denes MolnarDepartment of Pediatrics, Medical School, University of Pécs, Pécs, Hungary.
Gabriele EibenSection for Epidemiology and Social Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Stefaan de HenauwDepartment of Public Health, Ghent University, Ghent, Belgium.
Luis A MorenoGrowth, Exercise, Nutrition and Development, Research Group, Faculty of Health Sciences, University of Zaragoza, Instituto Agroalimentario de Aragón, Instituto de Investigación Sanitaria de Aragón and Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Zaragoza, Spain.
Garrath WilliamsDepartment of Politics, Philosophy and Religion, Lancaster University, Lancaster, United Kingdom.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Stefan RachLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Leibniz Institute for Prevention Research and Epidemiology - BIPS · DEGhent University · BELancaster University · GBNational Institute for Health Development · EENational Research Council · ITSpanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition · ESUniversity of Pecs · HUUniversity of Skövde · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attrition may lead to bias in epidemiological cohorts, since participants who are healthier and have a higher social position are less likely to drop out. We investigated possible selection effects regarding key exposures and outcomes in the IDEFICS/I.Family study, a large European cohort on the etiology of overweight, obesity and related disorders during childhood and adulthood. We applied multilevel logistic regression to investigate associations of attrition with sociodemographic variables, weight status, and study compliance and assessed attrition across time regarding children's weight status and variations of attrition across participating countries. We investigated selection effects with regard to social position, adherence to key messages concerning a healthy lifestyle, and children's weight status. Attrition was associated with a higher weight status of children, lower children's study compliance, older age, lower parental education, and parent's migration background, consistent across time and participating countries. Although overweight (odds ratio 1.17, 99% confidence interval 1.05-1.29) or obese children (odds ratio 1.18, 99% confidence interval 1.03-1.36) were more prone to drop-out, attrition only seemed to slightly distort the distribution of children's BMI at the upper tail. Restricting the sample to subgroups with different attrition characteristics only marginally affected exposure-outcome associations. Our results suggest that IDEFICS/I.Family provides valid estimates of relations between socio-economic position, health-related behaviors, and weight status.

Indexed as

BMIchild healthcohort attritioncross country differencesselection effects

Identifiers

PMID30159304
PMCPMC6104127
OpenAlexW2885802677

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.