Dataset Information

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.

ABSTRACT: 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.

SUBMITTER: Cadman T

PROVIDER: S-EPMC11367017 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature

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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.

Cadman Tim T Elhakeem Ahmed A Vinther Johan Lerbech JL Avraam Demetris D Carrasco Paula P Calas Lucinda L Cardol Marloes M Charles Marie-Aline MA Corpeleijn Eva E Crozier Sarah S de Castro Montserrat M Estarlich Marisa M Fernandes Amanda A Fossatti Serena S Gruszfeld Dariusz D Guerlich Kathrin K Grote Veit V Haakma Sido S Harris Jennifer R JR Heude Barbara B Huang Rae-Chi RC Ibarluzea Jesús J Inskip Hazel H Jaddoe Vincent V Koletzko Berthold B Lioret Sandrine S Luque Veronica V Manios Yannis Y Moirano Giovenale G Moschonis George G Nader Johanna J Nieuwenhuijsen Mark M Andersen Anne-Marie Nybo AN McEachen Rosie R de Moira Angela Pinot AP Popovic Maja M Roumeliotaki Theano T Salika Theodosia T Santa Marina Loreto L Santos Susana S Serbert Sylvain S Tzorovili Evangelia E Vafeiadi Marina M Verduci Elvira E Vrijheid Martine M Vrijkotte T G M TGM Welten Marieke M Wright John J Yang Tiffany C TC Zugna Daniela D Lawlor Deborah D

American journal of epidemiology 20240501 5

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. As ...[more]

PMID: 37856700

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Project description:BackgroundBreakthroughs in the treatment of preterm birth approximately 40 years ago have enabled a generation of preterm survivors to now reach mid-adulthood. Understanding their health sequelae is essential for guiding their long-term care. We did a study to examine preterm birth in relation to mortality into mid-adulthood.MethodsA national cohort study was done of all 4 296 814 singleton livebirths in Sweden between 1973 and 2015, who were followed up for mortality through Dec 31, 2017 (maximum age 45 years). Cox regression was used to examine gestational age at birth in relation to all-cause and cause-specific mortality, and cosibling analyses assessed for potential confounding by shared familial (genetic or environmental) factors.FindingsIn 103·5 million person-years of follow-up, 43 916 (1·0%) deaths were reported. Gestational age at birth was inversely associated with mortality from infancy to mid-adulthood. Relative to full-term birth (39-41 weeks), the adjusted hazard ratios for mortality associated with gestational age at birth were: 66·14 (95% CI 63·09-69·34) for extremely preterm (22-27 weeks), 8·67 (8·32-9·03) for very preterm (28-33 weeks), 2·61 (2·52-2·71) for late preterm (34-36 weeks), and 1·34 (1·30-1·37) for early term (37-38 weeks), from birth to age 45 years; and 2·04 (0·92-4·55) for extremely preterm, 1·48 (1·17-1·87) for very preterm, 1·22 (1·07-1·39) for late preterm, and 1·16 (1·08-1·25) for early term, at ages 30-45 years. Preterm birth accounted for more deaths among males than females (additive interaction p<0·001). Multiple underlying causes were identified, including congenital anomalies; respiratory, endocrine, cardiovascular, and neurological diseases; cancer; and external causes. Cosibling analyses suggested that the observed associations were not due to shared genetic or environmental factors in families.InterpretationPreterm and early term birth should be recognised as chronic conditions that require long-term follow-up for adverse health sequelae in adulthood.FundingNational Heart, Lung, and Blood Institute at the National Institutes of Health.

Dataset Information

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.

Publications

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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