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


Journal

Pediatric obesity
ISSN: 2047-6310
Titre abrégé: Pediatr Obes
Pays: England
ID NLM: 101572033

Informations de publication

Date de publication:
12 2022
Historique:
revised: 09 07 2022
received: 08 12 2021
accepted: 18 07 2022
pubmed: 12 8 2022
medline: 15 11 2022
entrez: 11 8 2022
Statut: ppublish

Résumé

Living 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. This study aimed at investigating the association between both aspects of family structure with BMI and a metabolic score (MetS). Cross-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. Children 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. Obesity prevention measures should focus on single-parent households and families with an only child.

Sections du résumé

BACKGROUND
Living 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.
OBJECTIVES
This study aimed at investigating the association between both aspects of family structure with BMI and a metabolic score (MetS).
METHODS
Cross-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.
RESULTS
Children 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.
CONCLUSION
Obesity prevention measures should focus on single-parent households and families with an only child.

Identifiants

pubmed: 35950257
doi: 10.1111/ijpo.12963
pmc: PMC9786348
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e12963

Informations de copyright

© 2022 The Authors. Pediatric Obesity published by John Wiley & Sons Ltd on behalf of World Obesity Federation.

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Auteurs

Katharina Stahlmann (K)

School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.
Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Lauren Lissner (L)

School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.

Leonie H Bogl (LH)

Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Institute of Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland.

Kirsten Mehlig (K)

School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.

Jaakko Kaprio (J)

Institute of Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland.
Department of Public Health, University of Helsinki, Helsinki, Finland.

Joanna C Klosowska (JC)

Department of Public Health and Primary Care, Ghent University, Ghent, Belgium.

Luis A Moreno (LA)

GENUD (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.
Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.

Toomas Veidebaum (T)

Department of Chronic Diseases, National Institute for Health Development, Tallin, Estonia.

Antonia Solea (A)

Research and Education Institute of Child Health, Strovolos, Cyprus.

Dénes Molnár (D)

Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary.

Fabio Lauria (F)

Institute of Food Sciences, National Research Council, Avellino, Italy.

Claudia Börnhorst (C)

Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

Maike Wolters (M)

Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

Antje Hebestreit (A)

Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

Monica Hunsberger (M)

School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.

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