Literature DB >> 31497850

Early-Life Predictors of Systolic Blood Pressure Trajectories From Infancy to Adolescence: Findings From Project Viva.

Izzuddin M Aris1,2,3, Sheryl L Rifas-Shiman1, Ling-Jun Li1,4,5, Mandy B Belfort6, Marie-France Hivert1,7, Emily Oken1,8.   

Abstract

Childhood blood pressure (BP) is a strong predictor of later risk of cardiovascular disease. However, few studies have assessed dynamic BP trajectories throughout the early-life period. We investigated the relationship between early-life factors and systolic BP (SBP) from infancy to adolescence using linear spline mixed-effects models among 1,370 children from Project Viva, a Boston, Massachusetts-area cohort recruited in 1999-2002. After adjusting for confounders and child height, we observed higher SBP in children exposed to gestational diabetes mellitus (vs. normoglycemia; age 3 years: β = 3.16 mm Hg (95% confidence interval (CI): 0.28, 6.04); age 6 years: β = 1.83 mm Hg (95% CI: 0.06, 3.60)), hypertensive disorders of pregnancy (vs. normal maternal BP; age 6 years: β = 1.39 mm Hg (95% CI: 0.10, 2.67); age 9 years: β = 1.84 mm Hg (95% CI: 0.34, 3.34); age 12 years: β = 1.70 mm Hg (95% CI: 0.48, 2.92)), higher neonatal SBP (per 10-mm Hg increase; age 3 years: β = 1.26 mm Hg (95% CI: 0.42, 2.09); age 6 years: β = 1.00 mm Hg (95% CI: 0.49, 1.51); age 9 years: β = 0.75 mm Hg (95% CI: 0.17, 1.33)), and formula milk in the first 6 months of life (vs. breast milk only; age 12 years: β = 2.10 mm Hg (95% CI: 0.46, 3.74); age 15 years: β = 3.52 mm Hg (95% CI: 1.40, 5.64); age 18 years: β = 4.94 mm Hg (95% CI: 1.88, 7.99)). Our findings provide evidence of programming of offspring SBP trajectories by gestational diabetes, hypertensive disorders of pregnancy, and formula milk intake and of neonatal BP being a potentially useful marker of childhood BP. These factors could be relevant in identifying children who are at risk of developing elevated BP.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  blood pressure; blood pressure trajectory; developmental programming; pregnancy; risk factors; systolic blood pressure

Mesh:

Year:  2019        PMID: 31497850      PMCID: PMC6825838          DOI: 10.1093/aje/kwz181

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  48 in total

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Authors:  J Schachter; L H Kuller; C Perfetti
Journal:  Am J Epidemiol       Date:  1984-04       Impact factor: 4.897

5.  Maternal age and other predictors of newborn blood pressure.

Authors:  Matthew W Gillman; Janet W Rich-Edwards; Sheryl L Rifas-Shiman; Ellice S Lieberman; Ken P Kleinman; Steven E Lipshultz
Journal:  J Pediatr       Date:  2004-02       Impact factor: 4.406

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7.  Early Weight Gain, Linear Growth, and Mid-Childhood Blood Pressure: A Prospective Study in Project Viva.

Authors:  Wei Perng; Sheryl L Rifas-Shiman; Michael S Kramer; Line K Haugaard; Emily Oken; Matthew W Gillman; Mandy B Belfort
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8.  Pre-, Perinatal, and Parental Predictors of Body Mass Index Trajectory Milestones.

Authors:  Izzuddin M Aris; Sheryl L Rifas-Shiman; Ling-Jun Li; Ken Kleinman; Brent A Coull; Diane R Gold; Marie-France Hivert; Michael S Kramer; Emily Oken
Journal:  J Pediatr       Date:  2018-06-28       Impact factor: 4.406

9.  Cardiovascular biomarkers and vascular function during childhood in the offspring of mothers with hypertensive disorders of pregnancy: findings from the Avon Longitudinal Study of Parents and Children.

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Authors:  Kate Tilling; Corrie Macdonald-Wallis; Debbie A Lawlor; Rachael A Hughes; Laura D Howe
Journal:  Ann Nutr Metab       Date:  2014-11-18       Impact factor: 3.374

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