Evidence map›Paper›PMID 35883054›Full record

ArticleBMC public health2022

Associations of individual factors and early childhood education and care (ECEC) centres characteristics with preschoolers' BMI in Germany.

Raphael M Herr, Freia De Bock, Katharina Diehl, Eva Wiedemann, Elena Sterdt, Miriam Blume, Stephanie Hoffmann, Max Herke, Marvin Reuter, Iryna Iashchenko and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 9 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

11 authors at 8 institutions in 1 country.

Raphael M HerrCenter for Preventive Medicine and Digital Health (CPD), Medical Faculty Mannheim, Heidelberg University, Ludolf-Krehl-Straße 7-11, 68167, Mannheim, Germany. Raphael.Herr@medma.uni-heidelberg.de.
Freia De BockChild Health Services Unit, Clinic for General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany.
Katharina DiehlCenter for Preventive Medicine and Digital Health (CPD), Medical Faculty Mannheim, Heidelberg University, Ludolf-Krehl-Straße 7-11, 68167, Mannheim, Germany.
Eva WiedemannCenter for Preventive Medicine and Digital Health (CPD), Medical Faculty Mannheim, Heidelberg University, Ludolf-Krehl-Straße 7-11, 68167, Mannheim, Germany.
Elena SterdtCompetence Centre for Early Education, Magdeburg-Stendal University of Applied Sciences, Stendal, Germany.
Miriam BlumeDepartment of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany.
Stephanie HoffmannDepartment of Public Health, Brandenburg University of Technology Cottbus-Senftenberg, Senftenberg, Germany.
Max HerkeInstitute of Medical Sociology, Medical Faculty, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Marvin ReuterInstitute of Medical Sociology, Centre for Health and Society, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany.
Iryna IashchenkoProfessorship of Health Economics, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.
Sven SchneiderCenter for Preventive Medicine and Digital Health (CPD), Medical Faculty Mannheim, Heidelberg University, Ludolf-Krehl-Straße 7-11, 68167, Mannheim, Germany.
University Hospital Heidelberg · DEHeinrich Heine University Düsseldorf · DEBrandenburg University of Technology Cottbus-Senftenberg · DEHeidelberg University · DEHochschule Magdeburg-Stendal · DEMartin Luther University Halle-Wittenberg · DERobert Koch Institute · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of obese children is rising worldwide. Many studies have investigated single determinants of children's body mass index (BMI), yet studies measuring determinants at different potential levels of influence are sparse. The aim of this study is to investigate the independent role of parental socioeconomic position (SEP), additional family factors at the micro level, as well as early childhood education and care (ECEC) centre characteristics at the meso level regarding BMI.

methodsAnalyses used the baseline data of the PReschool INtervention Study (PRINS) including up to 1,151 children from 53 ECEC centres. Multi-level models first estimated the associations of parental SEP indicators (parental school education, vocational training, and household income) with the children's standard deviation scores for BMI (SDS BMI, standardised for age and gender). Second, structural (number of siblings), psychosocial (strained family relationships), and nutrition behavioural (soft-drink consumption, frequency of fast-food restaurant visits) family factors at the micro level were included. Third, characteristics of the ECEC centre at the meso level in terms of average group size, the ratio of overweight children in the group, ECEC centre type (all-day care), and the location of the ECEC centre (rural vs urban) were included. All analyses were stratified by gender and adjusted for age, migration background, and parental employment status.

resultsEstimates for boys and girls appeared to differ. In the full model, for boys the parental SEP indicators were not related to SDS BMI. Factors related to SDS BMI in boys were: two or more siblings; B = -.55; p = 0.045 [ref.: no sibling]), the characteristics of the ECEC centre in terms of average group size (20 - 25 children; B = -.54; p = 0.022 [ref.: < 20 children]), and the ratio of overweight children (more overweight children B = -1.39; p < 0.001 [ref.: few overweight children]). For girls the number of siblings (two and more siblings; B = .67; p = 0.027 [ref.: no sibling]) and average group size (> 25 children; B = -.52; p = 0.037 [ref.: < 20 children]) were related to SDS BMI.

conclusionsThe BMI of preschool children appears to be associated with determinants at the micro and meso level, however with some gender differences. The identified factors at the micro and meso level appear largely modifiable and can inform about possible interventions to reduce obesity in preschool children.

Indexed as

OverweightPediatric ObesityBody Mass IndexChildChild, PreschoolFemaleGermanyHumansMaleSocioeconomic FactorsBMIECEC centresKindergartenMeso levelObesityPreschool childrenSocioeconomic position

Identifiers

PMID35883054
PMCPMC9317063
OpenAlexW4287921718

What OpenQuestion holds

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LicenceCC BY
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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.