Evidence map›Paper›PMID 35950257›Full record

ArticlePediatric obesity2022

Family structure in relation to body mass index and metabolic score in European children and adolescents.

Katharina Stahlmann, Lauren Lissner, Leonie H Bogl, Kirsten Mehlig, Jaakko Kaprio, Joanna C Klosowska, Luis A Moreno, Toomas Veidebaum, Antonia Solea, Dénes Molnár and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Pediatric obesity, 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.

  1. Review
  2. Sharing the motherload: A review and development of the CO-Parent conceptual model for early childhood obesity prevention.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  3. Review
  4. Article
  5. 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

16 authors at 9 institutions in 9 countries.

Katharina StahlmannSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.ORCID 0000-0002-4704-310X
Lauren LissnerSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.ORCID 0000-0002-8296-2849
Leonie H BoglDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Kirsten MehligSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.
Jaakko KaprioInstitute of Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland.
Joanna C KlosowskaDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.ORCID 0000-0003-0653-7637
Luis A MorenoGENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza Instituto Agroalimenatario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón, Zaragoza, Spain.ORCID 0000-0003-0454-653X
Toomas VeidebaumDepartment of Chronic Diseases, National Institute for Health Development, Tallin, Estonia.
Antonia SoleaResearch and Education Institute of Child Health, Strovolos, Cyprus.
Dénes MolnárDepartment of Pediatrics, Medical School, University of Pécs, Pécs, Hungary.
Fabio LauriaInstitute of Food Sciences, National Research Council, Avellino, Italy.
Claudia BörnhorstDepartment of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Maike WoltersDepartment of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0002-4943-2141
Antje HebestreitDepartment of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Monica HunsbergerSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.
IDEFICS/I.Family consortia
Leibniz Institute for Prevention Research and Epidemiology - BIPS · DEUniversity of Gothenburg · SEUniversity of Helsinki · FIGhent University · BEInstitute of Food Science · ITNational Institute for Health Development · EEUniversidad de Zaragoza · ESUniversität Hamburg · DEUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiving in single parent and blended families or as an only child-compared to living in two-parent biological families or with siblings, respectively-is associated with a higher body mass index (BMI) in cross-sectional studies. However, longitudinal research addressing the children's BMI in this context is scarce. Further, little is known about the association between family structure and metabolic health.

objectivesThis study aimed at investigating the association between both aspects of family structure with BMI and a metabolic score (MetS).

methodsCross-sectional data from 7804 children participating in the European multi-center I.Family study (2013/2014) and longitudinal data from 5621 children who also participated previously in the IDEFICS study (2007-2010) were used. Family structure was assessed by a detailed interview. BMI z-score and the MetS were based on measured anthropometry, blood pressure, high-density lipoprotein, blood glucose, and triglycerides. Linear regressions were performed to model associations between family structure with BMI and MetS.

resultsChildren from single-parent families had higher BMI z-scores in the cross-sectional (β = 0.09, 95% confidence interval [CI]: 0.001 to 0.18) and longitudinal analyses compared to those from two-parent families. Cross-sectionally, the number of siblings was associated with lower BMI z-scores (β = -0.07, 95% CI: -0.10 to -0.03) and lower MetS (β = -0.14, 95% CI: -0.26 to -0.01). Longitudinally, only children between baseline and follow-up had higher BMI z-scores at follow-up (β = 0.07, 95% CI: 0.01 to 0.14) compared to stable siblings.

conclusionObesity prevention measures should focus on single-parent households and families with an only child.

Indexed as

ObesityParentsAdolescentBody Mass IndexCross-Sectional StudiesFamily CharacteristicsHumansBMIfamily structuremetabolic scoreonly childoverweightsingle parent

Identifiers

PMID35950257
PMCPMC9786348
OpenAlexW4290999084

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.