Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
02 Jan 2024
Historique:
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: epublish

Résumé

Lower educational attainment is associated with increased risk of adverse pregnancy outcomes, but it is unclear which pathways mediate this association. To investigate the association between educational attainment and pregnancy outcomes and the proportion of this association that is mediated through modifiable cardiometabolic risk factors. In this 2-sample mendelian randomization (MR) cohort study, uncorrelated (R2 < 0.01) single-nucleotide variants (formerly single-nucleotide polymorphisms) associated with the exposure (P < 5 × 10-8) and mediators and genetic associations with the pregnancy outcomes from genome-wide association studies were extracted. All participants were of European ancestry and were largely from Finland, Iceland, the United Kingdom, or the US. The inverse variance-weighted method was used in the main analysis, and the weighted median, weighted mode, and MR Egger regression were used in sensitivity analyses. In mediation analyses, the direct effect of educational attainment estimated in multivariable MR was compared with the total effect estimated in the main univariable MR analysis. Data were extracted between December 1, 2022, and April 30, 2023. Genetically estimated educational attainment. The mediators considered were genetically estimated type 2 diabetes, body mass index, smoking, high-density lipoprotein cholesterol level, and systolic blood pressure. Ectopic pregnancy, hyperemesis gravidarum, gestational diabetes, preeclampsia, preterm birth, and offspring birth weight. The analyses included 3 037 499 individuals with data on educational attainment, and those included in studies on pregnancy outcomes ranged from 141 014 for ectopic pregnancy to 270 002 with data on offspring birth weight. Each SD increase in genetically estimated educational attainment (ie, 3.4 years) was associated with an increased birth weight of 42 (95% CI, 28-56) g and an odds ratio ranging from 0.53 (95% CI, 0.46-0.60) for ectopic pregnancy to 0.81 (95% CI, 0.71-0.93) for preeclampsia. The combined proportion of the association that was mediated by the 5 cardiometabolic risk factors ranged from -17% (95% CI, -46% to 26%) for hyperemesis gravidarum to 78% (95% CI, 10%-208%) for preeclampsia. Sensitivity analyses accounting for pleiotropy were consistent with the main analyses. In this MR cohort study, intervening for type 2 diabetes, body mass index, smoking, high-density lipoprotein cholesterol level, and systolic blood pressure may lead to reductions in several adverse pregnancy outcomes associated with lower levels of education. Such public health interventions would serve to reduce health disparities attributable to social inequalities.

Identifiants

pubmed: 38206626
pii: 2813841
doi: 10.1001/jamanetworkopen.2023.51166
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2351166

Auteurs

Tormod Rogne (T)

Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut.
Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Connecticut.

Dipender Gill (D)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

Zeyan Liew (Z)

Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Connecticut.
Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.

Xiaoting Shi (X)

Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.

Vilde Hatlevoll Stensrud (VH)

Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.

Tom Ivar Lund Nilsen (TIL)

Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Clinic of Anesthesia and Intensive Care, St Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.

Stephen Burgess (S)

Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.

Classifications MeSH