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Cited by 93Birth, Development, and HealthBlood Pressure and Hypertension StudiesPregnancy and preeclampsia studies

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Adipose and Height Growth Through Childhood and Blood Pressure Status in a Large Prospective Cohort Study

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Jones, Alexander, Charakida, Marietta, Falaschetti, Emanuela, Hingorani, Aroon D., Finer, Nicholas, Masi, Stefano, Donald, Ann E., Lawlor, Debbie A., Davey Smith, George, Deanfield, John E.·2012·Hypertension
DOI 10.1161/hypertensionaha.111.187716PMC PMC3428923
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Abstract

Raised blood pressure (BP) is the world's leading mortality risk factor. Childhood BP substantially predicts adult levels, and although both prenatal and postnatal growth influence it, their relative importance is debated. In a longitudinal study (Avon Longitudinal Study of Parents and Children) of 12 962 healthy children, we aimed to assess the relative contribution of different growth periods and of standardized measures of height versus weight-for-height (an adiposity marker) to BP at age 10 years. Conditional growth modeling was used in the 3230 boys and 3346 girls with BP measurements. Systolic BP was inversely associated with birth weight and weight-for-height but not length (−0.33, −0.27, and −0.12 mm Hg · SD −1 ; P =0.003, 0.035, and 0.35, respectively). In infancy, weight, weight-for-height, and height gains were all positively associated with systolic BP (0.90, 0.41, and 0.82 mm Hg · SD −1 , respectively; all P <0.001). After infancy, all of the growth modalities were positively associated with systolic BP (weight, 1.91; weight-for-height, 1.56; height, 1.20 mm Hg · SD −1 ; all P <0.001). Similar but weaker associations were found with diastolic BP. Although BP at 10 years was associated with both prenatal and early postnatal growth, their influence was small compared with that of later growth. Because BP ranking relative to the population is substantially determined in the first decade of life, a focus on strategies to reduce the development of adiposity from infancy onward, rather than an emphasis on the nutrition and weight of mothers and infants, should bring greater reductions in population BP.

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  • The worldwide epidemic of excess body weight, including overweight and obesity, is associated with increased prevalence of cardiovascular risks comprising hypertension.

    “The worldwide epidemic of excess body weight, including overweight and obesity, is associated with increased prevalence of cardiovascular risks comprising hypertension – a condition that promote stroke, heart disease and end-stage organ damage which are major causes of death and disability (1;2).”

    From Obesity-Associated Hypertension: Recent Progress in Deciphering the Pathogenesis (2014) · cites this paper as [1]

  • Excess adiposity is the strongest known risk factor for hypertension in male and female subjects of different ages and races.

    “The close relationship between excess adipose mass and hypertension is well documented, with population-based studies showing excess adiposity as the strongest known risk factor for hypertension in male and female subjects of different ages and races (1–5).”

    From Obesity-Associated Hypertension: Recent Progress in Deciphering the Pathogenesis (2014) · cites this paper as [1]

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Metadata

Authors
Jones, A., Charakida, M., Falaschetti, E., Hingorani, A. D., Finer, N., Masi, S., Donald, A. E., Lawlor, D. A., Davey Smith, G., & Deanfield, J. E.
Affiliations
  • British Heart Foundation (GB)
  • From the Vascular Physiology Unit (A.J., M.C., E.F., N.F., S.M., A.E.D., J.E.D.), University College London Institute of Cardiovascular Science, London, United Kingdom; Genetic Epidemiology Group (A.D.H.), Department of Epidemiology and Public Health, University College London, London, United Kingdom; Department of Medicine (A.D.H.), Centre for Clinical Pharmacology, British Heart Foundation Laboratories, University College London, London, United Kingdom; Medical Research Council Centre for Causal...
ORCID
Venue
Hypertension
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2012-05
Volume
59
Issue
5
Pages
919-925
ISSN
  • 0194-911X (ISSN-L)
  • 1524-4563
DOI
10.1161/hypertensionaha.111.187716
PMC
PMC3428923
OpenAlex
W2114822892
Cited by
93
References
27
Citations by year
2026: 3 · 2025: 2 · 2024: 1 · 2023: 6 · 2022: 1 · 2021: 6 · 2020: 4 · 2019: 7 · 2018: 9 · 2017: 8 · 2016: 13 · 2015: 10 · 2014: 11 · 2013: 7 · 2012: 5
FWCI
9.25
Type
journal article
Language
en
Open access
Locations
  • Hypertension (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion)
  • Bristol Research (University of Bristol) (submittedVersion)
Funders
  • Wellcome Trust (092731)
  • National Institute for Health and Care Research
  • British Heart Foundation (RG/10/004/28240, FS05/125)
Topics
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
  • Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
Keywords
childhood blood pressure, systolic blood pressure, diastolic blood pressure, birth weight, weight-for-height, height-for-age, infant growth, child growth, adiposity, fetal growth, postnatal growth, hypertension risk, Avon Longitudinal Study of Parents and Children
MeSH terms
Birth Weight, Blood Pressure Determination, Body Height, Body Weight, Child, Child Development, Child, Preschool, Female, United Kingdom, Humans, Hypertension, Infant, Infant, Newborn, Longitudinal Studies, Male, Obesity, Predictive Value of Tests, Prospective Studies, Sensitivity and Specificity, Cohort Studies, Multivariate Analysis, Linear Models, Age Distribution, Sex Distribution, Risk Assessment, Adiposity

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