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Integrating multiple lines of evidence to assess the effects of maternal BMI on pregnancy and perinatal outcomes.
Borges, Maria Carolina; Clayton, Gemma L; Freathy, Rachel M; Felix, Janine F; Fernández-Sanlés, Alba; Soares, Ana Gonçalves; Kilpi, Fanny; Yang, Qian; McEachan, Rosemary R C; Richmond, Rebecca C; Liu, Xueping; Skotte, Line; Irizar, Amaia; Hattersley, Andrew T; Bodinier, Barbara; Scholtens, Denise M; Nohr, Ellen A; Bond, Tom A; Hayes, M Geoffrey; West, Jane; Tyrrell, Jessica; Wright, John; Bouchard, Luigi; Murcia, Mario; Bustamante, Mariona; Chadeau-Hyam, Marc; Jarvelin, Marjo-Riitta; Vrijheid, Martine; Perron, Patrice; Magnus, Per; Gaillard, Romy; Jaddoe, Vincent W V; Lowe, William L; Feenstra, Bjarke; Hivert, Marie-France; Sørensen, Thorkild I A; Håberg, Siri E; Serbert, Sylvain; Magnus, Maria; Lawlor, Deborah A.
Affiliation
  • Borges MC; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK. m.c.borges@bristol.ac.uk.
  • Clayton GL; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK. m.c.borges@bristol.ac.uk.
  • Freathy RM; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Felix JF; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Fernández-Sanlés A; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Soares AG; Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK.
  • Kilpi F; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Yang Q; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • McEachan RRC; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Richmond RC; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Liu X; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Skotte L; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Irizar A; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Hattersley AT; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Bodinier B; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Scholtens DM; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Nohr EA; Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK.
  • Bond TA; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Hayes MG; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • West J; Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
  • Tyrrell J; Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
  • Wright J; Department of Preventive Medicine and Public Health, University of the Basque Country, Leioa, Spain.
  • Bouchard L; BIODONOSTIA Health Research Institute, Paseo Dr. Beguiristain, 20014, San Sebastian, Spain.
  • Murcia M; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
  • Bustamante M; Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK.
  • Chadeau-Hyam M; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
  • Jarvelin MR; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Vrijheid M; Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Perron P; MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Magnus P; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
  • Gaillard R; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
  • Jaddoe VWV; Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
  • Lowe WL; The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia.
  • Feenstra B; Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Hivert MF; Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK.
  • Sørensen TIA; Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK.
  • Håberg SE; Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK.
  • Serbert S; Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
  • Magnus M; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
  • Lawlor DA; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain.
BMC Med ; 22(1): 32, 2024 01 29.
Article in En | MEDLINE | ID: mdl-38281920
ABSTRACT

BACKGROUND:

Higher maternal pre-pregnancy body mass index (BMI) is associated with adverse pregnancy and perinatal outcomes. However, whether these associations are causal remains unclear.

METHODS:

We explored the relation of maternal pre-/early-pregnancy BMI with 20 pregnancy and perinatal outcomes by integrating evidence from three different approaches (i.e. multivariable regression, Mendelian randomisation, and paternal negative control analyses), including data from over 400,000 women.

RESULTS:

All three analytical approaches supported associations of higher maternal BMI with lower odds of maternal anaemia, delivering a small-for-gestational-age baby and initiating breastfeeding, but higher odds of hypertensive disorders of pregnancy, gestational hypertension, preeclampsia, gestational diabetes, pre-labour membrane rupture, induction of labour, caesarean section, large-for-gestational age, high birthweight, low Apgar score at 1 min, and neonatal intensive care unit admission. For example, higher maternal BMI was associated with higher risk of gestational hypertension in multivariable regression (OR = 1.67; 95% CI = 1.63, 1.70 per standard unit in BMI) and Mendelian randomisation (OR = 1.59; 95% CI = 1.38, 1.83), which was not seen for paternal BMI (OR = 1.01; 95% CI = 0.98, 1.04). Findings did not support a relation between maternal BMI and perinatal depression. For other outcomes, evidence was inconclusive due to inconsistencies across the applied approaches or substantial imprecision in effect estimates from Mendelian randomisation.

CONCLUSIONS:

Our findings support a causal role for maternal pre-/early-pregnancy BMI on 14 out of 20 adverse pregnancy and perinatal outcomes. Pre-conception interventions to support women maintaining a healthy BMI may reduce the burden of obstetric and neonatal complications.

FUNDING:

Medical Research Council, British Heart Foundation, European Research Council, National Institutes of Health, National Institute for Health Research, Research Council of Norway, Wellcome Trust.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pre-Eclampsia / Diabetes, Gestational / Hypertension, Pregnancy-Induced Type of study: Clinical_trials Limits: Female / Humans / Newborn / Pregnancy Language: En Journal: BMC Med Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pre-Eclampsia / Diabetes, Gestational / Hypertension, Pregnancy-Induced Type of study: Clinical_trials Limits: Female / Humans / Newborn / Pregnancy Language: En Journal: BMC Med Year: 2024 Document type: Article