Trajectories of cardiovascular risk predict pregnancy outcomes: The Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study

Author:

Harville Emily W.1,Hakala Juuso O.234,Rovio Suvi P.23,Pahkala Katja234,Raitakari Olli2,Lehtimäki Terho5

Affiliation:

1. Department of Epidemiology Tulane University School of Public Health and Tropical Medicine New Orleans Louisiana USA

2. Research Centre of Applied and Preventive Cardiovascular Medicine University of Turku Turku Finland

3. Centre for Population Health Research University of Turku and Turku University Hospital Turku Finland

4. Department of Physical Activity and Health University of Turku Turku Finland

5. Department of Clinical Chemistry Faculty of Medicine and Health Technology Tampere University Tampere Finland

Abstract

AbstractBackgroundLife course patterns of change in risk—trajectories—affect health.ObjectivesTo examine how trajectories of cardiovascular risk factors are associated with pregnancy and birth outcomes.MethodsData from two cohort studies participating in the International Childhood Cardiovascular Consortium—The Bogalusa Heart Study (BHS; started in 1973, N = 903 for this analysis) and the Cardiovascular Risk in Young Finns Study (YFS; started in 1980, N = 499) were used. Both followed children into adulthood and measured cardiovascular risk factors, including body mass index (BMI), systolic and diastolic blood pressure (SBP/DBP), total, lipoprotein (LDL)‐ and high density lipoprotein (HDL)‐cholesterol and serum triglycerides. Discrete mixture modelling was used to divide each cohort into distinct trajectories according to these risk factors from childhood to early adulthood, and these groups were then used to predict pregnancy outcomes including small for gestational age (SGA; <10th study‐specific percentile of gestational age by sex), preterm birth (PTB; <37 weeks' gestation), hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM), with control for age at baseline and at first birth, parity, socioeconomic status, BMI and smoking.ResultsThe models created more trajectories for BMI, SBP and HDL‐cholesterol in the YFS than in BHS, for which three classes generally seemed to be sufficient to represent the groups in the population across risk factors. In BHS, the association between the higher and flatter DBP trajectory and PTB was aRR 1.77, 95% confidence interval [CI] 1.06, 2.96. In BHS the association between consistent total cholesterol and PTB was aRR 2.16, 95% CI 1.22, 3.85 and in YFS the association between elevated high trajectory and PTB was aRR 3.35, 95% CI 1.28, 8.79. Elevated‐increasing SBP was associated with a higher risk of GH in BHS and increasing or persistent‐obese BMI trajectories were associated with GDM in both cohorts (BHS: aRR 3.51, 95% CI 1.95, 6.30; YFS: aRR 2.61, 95% CI 0.96, 7.08).ConclusionsTrajectories of cardiovascular risk, particularly those that represent a consistent or more rapid worsening of cardiovascular health, are associated with a higher risk of pregnancy complications.

Funder

Academy of Finland

Eunice Kennedy Shriver National Institute of Child Health and Human Development

National Heart, Lung, and Blood Institute

National Institute on Aging

Juho Vainion Säätiö

Paavo Nurmen Säätiö

Sydäntutkimussäätiö

Suomen Kulttuurirahasto

Tampereen Tuberkuloosisäätiö

Emil Aaltosen Säätiö

Yrjö Jahnssonin Säätiö

Signe ja Ane Gyllenbergin Säätiö

H2020 European Research Council

Publisher

Wiley

Subject

Pediatrics, Perinatology and Child Health,Epidemiology

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