Contributors: Centre for Research in Epidemiology and Statistics; Conservatoire National des Arts et Métiers CNAM (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); Research team on early life origins of health; Conservatoire National des Arts et Métiers CNAM (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers CNAM (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); Numérique, Organisation et Société (NOS); Institut interdisciplinaire de l’innovation de Telecom Paris (I3 SES); Télécom Paris-Institut interdisciplinaire de l’innovation (I3); École polytechnique (X); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Mines Paris - PSL (École nationale supérieure des mines de Paris); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Télécom Paris-École polytechnique (X); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Télécom Paris-Institut interdisciplinaire de l’innovation (I3); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS); Département Sciences Economiques et Sociales (SES); Télécom Paris; Newcastle University Newcastle; Istituto Superiore di Sanità = National Institute of Health (ISS); University of Copenhagen = Københavns Universitet (UCPH); University of Bristol Bristol; Agència de Salut Pública de Barcelona (ASPB); IT University of Copenhagen (ITU); Southampton General Hospital; NIHR Biomedical Research Centre London; Guy's and St Thomas' NHS Foundation Trust-King‘s College London; Institut d'Investigació Sanitària Pere Virgili Tarragona (IISPV); Hospital Universitari Sant Joan de Reus = Sant Joan de Reus University Hospital; Universitat Jaume I = Jaume I University; Universitat de València (UV); Instituto de Salud Carlos III Madrid (ISC); Keck School of Medicine Los Angeles; University of Southern California (USC); University of Crete Heraklion (UOC); Università degli studi di Torino = University of Turin (UNITO); Norwegian Institute of Public Health Oslo (NIPH); BIODonostia Research Institute; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública = Consortium for Biomedical Research of Epidemiology and Public Health (CIBERESP); Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK (BIHR); Université Sorbonne Paris Nord; ANR-19-CE36-0006,NUT-PREV,Inégalités sociales de santé en lien avec l'alimentation en début de vie: de l'observation à la prévention(2019); ANR-19-COHO-0001,RE-CO-NAI (COHORTES),Resarch platform on cohorts of children followed from birth(2019); ANR-11-EQPX-0038,RE-CO-NAI,Plateforme de REcherche sur les COhortes d'enfants suivis depuis la NAIssance(2011); European Project: 733206,H2020,H2020-SC1-2016-RTD,LIFECYCLE(2017)
نبذة مختصرة : International audience ; Background: Energy balance‐related behaviours (EBRBs), that is, dietary intake, screen, outdoor play and sleep, tend to combine into ‘lifestyle patterns’, with potential synergistic influences on health. To date, studies addressing this theme mainly focused on school children and rarely accounted for sleep, with a cross‐country perspective. Objectives We aimed at comparing lifestyle patterns among preschool‐aged children across Europe, their associations with socio‐demographic factors and their links with body mass index (BMI). Methods Harmonized data on 2–5‐year‐olds participating in nine European birth cohorts from the EU Child Cohort Network were used (EBRBs, socio‐demographics and anthropometrics). Principal component analysis and multivariable linear and logistic regressions were performed.Results The most consistent pattern identified across cohorts was defined by at least three of the following EBRBs: discretionary consumption, high screen time, low outdoor play time and low sleep duration. Consistently, children from low‐income households and born to mothers with low education level had higher scores on this pattern compared to their socioeconomically advantaged counterparts. Furthermore, it was associated with higher BMI z‐scores in the Spanish and Italian cohorts (β = 0.06, 95% CI = [0.02; 0.10], both studies).Conclusion These findings may be valuable in informing early multi‐behavioural interventions aimed at reducing social inequalities in health at a European scale.
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