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4 results on '"Cornet, Maxime"'

2. Lifestyle patterns in European preschoolers: Associations with socio‐demographic factors and body mass index.

Author

Descarpentrie, Alexandra, Calas, Lucinda, Cornet, Maxime, Heude, Barbara, Charles, Marie‐Aline, Avraam, Demetris, Brescianini, Sonia, Cadman, Tim, Elhakeem, Ahmed, Fernández‐Barrés, Sílvia, Harris, Jennifer R., Inskip, Hazel, Julvez, Jordi, Llop, Sabrina, Margetaki, Katerina, Maritano, Silvia, Nader, Johanna Lucia Thorbjornsrud, Roumeliotaki, Theano, Salika, Theodosia, and Subiza‐Pérez, Mikel

Subjects
LIFESTYLES, SOCIAL determinants of health, CONFIDENCE intervals, MULTIVARIATE analysis, NUTRITION, REGRESSION analysis, SOCIOECONOMIC factors, FACTOR analysis, DESCRIPTIVE statistics, RESEARCH funding, SOCIODEMOGRAPHIC factors, BODY mass index, LOGISTIC regression analysis
Abstract

Summary: 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. [ABSTRACT FROM AUTHOR]

Published
2023
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4. The LifeCycle Project-EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250,000 children and parents

Author

Andersen, Anne-Marie Nybo, Elhakeem, Ahmed, Foong, Rachel, Grote, Veit, Haakma, Sido, Hanson, Mark, Harris, Jennifer, Heude, Barbara, Huang, Rae-Chi, Inskip, Hazel, Järvelin, Marjo-Riitta, Koletzko, Berthold, Lawlor, Deborah, Lindeboom, Maarten, Mceachan, Rosemary, Mikkola, Tuija, Nader, Johanna, de Moira, Angela Pinot, Pizzi, Costanza, Richiardi, Lorenzo, Sebert, Sylvain, Schwalber, Ameli, Sunyer, Jordi, Swertz, Morris, Vafeiadi, Marina, Vrijheid, Martine, Wright, John, Duijts, Liesbeth, Project Group, Lifecycle, de Lauzon-Guillain, Blandine, Dargent-Molina, Patricia, Cornet, Maxime, Harrar, Faryal, Lioret, Sandrine, Plancoulaine, Sabine, Jaddoe, Vincent, Felix, Janine, Andersen, Anne-Marie, Charles, Marie-Aline, Chatzi, Leda, Corpeleijn, Eva, Donner, Nina, Elhakeem, ·, Eriksson, Johan, de Lauzon-Guillain, Blandine, Early-life stressors and LifeCycle health - LIFECYCLE - - H20202017-01-01 - 2021-12-31 - 733206 - VALID, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Hospital Universitari de Sant Joan de Reus, Institut d’Investigació Sanitària Pere Virgili, Ciberdem, BIODonostia Research Institute, Università degli studi di Torino = University of Turin (UNITO), University of Southampton, University of Bristol [Bristol], IT University of Copenhagen (ITU), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-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), Bradford Teaching Hospitals NHS Foundation Trust [Bradford, Royaume-Uni], University of Manchester [Manchester], University of Groningen [Groningen], University of Crete [Heraklion] (UOC), University of Southern California (USC), Norwegian Institute of Public Health [Oslo] (NIPH), Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana [Espagne] (FISABIO), IMIM-Hospital del Mar, Generalitat de Catalunya, Etude longitudinale française depuis l'enfance (UMS : Ined-Inserm-EFS) (ELFE), Institut national d'études démographiques (INED)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Global - Institute For Global Health [Barcelona] (ISGlobal), Universitat Pompeu Fabra [Barcelona] (UPF), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Universitat de València (UV), Conselleria de Sanitat, Laboratorio de Salud Pública de Valencia, and European Project: 733206,H2020,H2020-SC1-2016-RTD,LIFECYCLE(2017)

Subjects
Birth cohorts, Exposome, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Life course, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Non-communicable diseases, Consortium
Abstract

Early life is an important window of opportunity to improve health across the full lifecycle. An accumulating body of evidence suggests that exposure to adverse stressors during early life leads to developmental adaptations, which subsequently affect disease risk in later life. Also, geographical, socio-economic, and ethnic differences are related to health inequalities from early life onwards. To address these important public health challenges, many European pregnancy and childhood cohorts have been established over the last 30 years. The enormous wealth of data of these cohorts has led to important new biological insights and important impact for health from early life onwards. The impact of these cohorts and their data could be further increased by combining data from different cohorts. Combining data will lead to the possibility of identifying smaller effect estimates, and the opportunity to better identify risk groups and risk factors leading to disease across the lifecycle across countries. Also, it enables research on better causal understanding and modelling of life course health trajectories. The EU Child Cohort Network, established by the Horizon2020-funded LifeCycle Project, brings together nineteen pregnancy and childhood cohorts, together including more than 250,000 children and their parents. A large set of variables has been harmonised and standardized across these cohorts. The harmonized data are kept within each institution and can be accessed by external researchers through a shared federated data analysis platform using the R-based platform DataSHIELD, which takes relevant national and international data regulations into account. The EU Child Cohort Network has an open character. All protocols for data harmonization and setting up the data analysis platform are available online. The EU Child Cohort Network creates great opportunities for researchers to use data from different cohorts, during and beyond the LifeCycle Project duration. It also provides a novel model for collaborative research in large research infrastructures with individual-level data. The LifeCycle Project will translate results from research using the EU Child Cohort Network into recommendations for targeted prevention strategies to improve health trajectories for current and future generations by optimizing their earliest phases of life.

Published
2020

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