Associations of Maternal Educational Level, Proximity to Green Space During Pregnancy, and Gestational Diabetes With Body Mass Index From Infancy to Early Adulthood: A Proof-of-Concept Federated Analysis in 18 Birth Cohorts
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comunitat-uji-handle3:10234/36082
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INVESTIGACIONMetadatos
Título
Associations of Maternal Educational Level, Proximity to Green Space During Pregnancy, and Gestational Diabetes With Body Mass Index From Infancy to Early Adulthood: A Proof-of-Concept Federated Analysis in 18 Birth CohortsAutoría
Fecha de publicación
2024-05Editor
Oxford University PressISSN
0002-9262; 1476-6256Cita bibliográfica
Tim Cadman, Ahmed Elhakeem, Johan Lerbech Vinther, Demetris Avraam, Paula Carrasco, Lucinda Calas, Marloes Cardol, Marie-Aline Charles, Eva Corpeleijn, Sarah Crozier, Montserrat de Castro, Marisa Estarlich, Amanda Fernandes, Serena Fossatti, Dariusz Gruszfeld, Kathrin Guerlich, Veit Grote, Sido Haakma, Jennifer R Harris, Barbara Heude, Rae-Chi Huang, Jesús Ibarluzea, Hazel Inskip, Vincent Jaddoe, Berthold Koletzko, Sandrine Lioret, Veronica Luque, Yannis Manios, Giovenale Moirano, George Moschonis, Johanna Nader, Mark Nieuwenhuijsen, Anne-Marie Nybo Andersen, Rosie McEachen, Angela Pinot de Moira, Maja Popovic, Theano Roumeliotaki, Theodosia Salika, Loreto Santa Marina, Susana Santos, Sylvain Serbert, Evangelia Tzorovili, Marina Vafeiadi, Elvira Verduci, Martine Vrijheid, T G M Vrijkotte, Marieke Welten, John Wright, Tiffany C Yang, Daniela Zugna, Deborah Lawlor, Associations of Maternal Educational Level, Proximity to Green Space During Pregnancy, and Gestational Diabetes With Body Mass Index From Infancy to Early Adulthood: A Proof-of-Concept Federated Analysis in 18 Birth Cohorts, American Journal of Epidemiology, Volume 193, Issue 5, May 2024, Pages 753–763, https://doi.org/10.1093/aje/kwad206Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://academic.oup.com/aje/article/193/5/753/7322051?login=trueVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
International sharing of cohort data for research is important and challenging. We explored the feasibility of multicohort federated analyses by examining associations between 3 pregnancy exposures (maternal education, ... [+]
International sharing of cohort data for research is important and challenging. We explored the feasibility of multicohort federated analyses by examining associations between 3 pregnancy exposures (maternal education, exposure to green vegetation, and gestational diabetes) and offspring body mass index (BMI) from infancy to age 17 years. We used data from 18 cohorts (n = 206,180 mother-child pairs) from the EU Child Cohort Network and derived BMI at ages 0–1, 2–3, 4–7, 8–13, and 14–17 years. Associations were estimated using linear regression via 1-stage individual participant data meta-analysis using DataSHIELD. Associations between lower maternal education and higher child BMI emerged from age 4 and increased with age (difference in BMI z score comparing low with high education, at age 2–3 years = 0.03 (95% confidence interval (CI): 0.00, 0.05), at 4–7 years = 0.16 (95% CI: 0.14, 0.17), and at 8–13 years = 0.24 (95% CI: 0.22, 0.26)). Gestational diabetes was positively associated with BMI from age 8 years (BMI z score difference = 0.18, 95% CI: 0.12, 0.25) but not at younger ages; however, associations attenuated towards the null when restricted to cohorts that measured gestational diabetes via universal screening. Exposure to green vegetation was weakly associated with higher BMI up to age 1 year but not at older ages. Opportunities of cross-cohort federated analyses are discussed. [-]
Publicado en
American Journal of Epidemiology, 2024, vol. 193, no 5Entidad financiadora
European Union | European Research Council | Lundbeck Foundation | National Institute for Health Research
Código del proyecto o subvención
info:eu-repo/grantAgreement/EC/H2020/733206 | info:eu-repo/grantAgreement/EC/H2020/120616 | ERC-2014-CoG-648916 | R264-2017-3099 | NIHR200166
Derechos de acceso
info:eu-repo/semantics/openAccess
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