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Early-Life Predictors of Systolic Blood Pressure Trajectories From Infancy to Adolescence: Findings From Project Viva.
Aris, Izzuddin M; Rifas-Shiman, Sheryl L; Li, Ling-Jun; Belfort, Mandy B; Hivert, Marie-France; Oken, Emily.
Afiliación
  • Aris IM; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
  • Rifas-Shiman SL; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Li LJ; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore.
  • Belfort MB; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
  • Hivert MF; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
  • Oken E; Division of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore.
Am J Epidemiol ; 188(11): 1913-1922, 2019 11 01.
Article en En | MEDLINE | ID: mdl-31497850
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 ß = 3.16 mm Hg (95% confidence interval (CI) 0.28, 6.04); age 6 years ß = 1.83 mm Hg (95% CI 0.06, 3.60)), hypertensive disorders of pregnancy (vs. normal maternal BP; age 6 years ß = 1.39 mm Hg (95% CI 0.10, 2.67); age 9 years ß = 1.84 mm Hg (95% CI 0.34, 3.34); age 12 years ß = 1.70 mm Hg (95% CI 0.48, 2.92)), higher neonatal SBP (per 10-mm Hg increase; age 3 years ß = 1.26 mm Hg (95% CI 0.42, 2.09); age 6 years ß = 1.00 mm Hg (95% CI 0.49, 1.51); age 9 years ß = 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 ß = 2.10 mm Hg (95% CI 0.46, 3.74); age 15 years ß = 3.52 mm Hg (95% CI 1.40, 5.64); age 18 years ß = 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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Efectos Tardíos de la Exposición Prenatal / Presión Sanguínea Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Child / Child, preschool / Female / Humans / Infant / Male / Newborn / Pregnancy Idioma: En Revista: Am J Epidemiol Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Efectos Tardíos de la Exposición Prenatal / Presión Sanguínea Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Child / Child, preschool / Female / Humans / Infant / Male / Newborn / Pregnancy Idioma: En Revista: Am J Epidemiol Año: 2019 Tipo del documento: Article