Population trajectories and age‐dependent associations of obesity risk factors with body mass index from childhood to adolescence across European regions: A two‐cohort study

Author:

Schreuder Anton1ORCID,Börnhorst Claudia2,Wolters Maike2ORCID,Veidebaum Toomas3,Tornaritis Michael4,Sina Elida2,Russo Paola5,Moreno Luis A.67ORCID,Molnar Denes8,Lissner Lauren9ORCID,De Henauw Stefaan10,Ahrens Wolfgang211,Vrijkotte Tanja1ORCID,

Affiliation:

1. Department of Public Health Academic Medical Center, University of Amsterdam Amsterdam The Netherlands

2. Leibniz Institute for Prevention Research and Epidemiology – BIPS Bremen Germany

3. National Institute for Health Development, Estonian Centre of Behavioral and Health Sciences Tallinn Estonia

4. Research and Education Institute of Child Health Strovolos Cyprus

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

6. GENUD (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) Zaragoza Spain

7. Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn) Madrid Spain

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

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

10. Department of Public Health Ghent University Ghent Belgium

11. Institute of Statistics, Faculty of Mathematics and Computer Science University of Bremen Bremen Germany

Abstract

SummaryObjectiveTo investigate population trajectories of behavioural risk factors of obesity from childhood to adolescence and their associations with body mass index (BMI) in children across European regions.MethodsData were harmonised between the European multi‐centre IDEFICS/I.Family and the Amsterdam Born Children and their Development Cohort. Participants were aged 2.0–9.9 and 5.0–7.5 years at baseline, respectively, and were followed until age 18 years. Behavioural risk factors of interest included diet, physical activity, media use and sleep. Mixed effects models were used for statistical analyses to account for repeated measurements taken from the same child.ResultsThe study included a total of 14 328 individuals: 4114, 4582, 3220 and 2412 participants from Northern, Southern, Eastern Europe and Amsterdam, respectively. Risk factor means and prevalences changed with age, but the trajectories were mostly similar across regions. Almost no associations between behavioural factors and BMI were found at the age of 6 years. At 11 years, daily sugar‐sweetened foods consumption, use of active transport, sports club membership and longer nocturnal sleep duration were negatively associated with BMI in most regions; positive associations were found with media use. Most associations at 11 years of age persisted to 15 years.ConclusionsWhilst population trajectories of media use and nocturnal sleep duration are similar across European regions, those of other behavioural risk factors like active transport and daily vegetable consumption differ. Also, associations between behavioural risk factors and BMI become stronger with age and show similar patterns across regions.

Funder

Agencia Estatal de Investigación

Bundesministerium für Bildung und Forschung

Fonds Wetenschappelijk Onderzoek

FP7 Ideas: European Research Council

Horizon 2020 Framework Programme

Joint Programming Initiative A healthy diet for a healthy life

Sixth Framework Programme

ZonMw

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health,Nutrition and Dietetics,Health Policy,Pediatrics, Perinatology and Child Health

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