Evidence map›Paper›PMID 31488269›Full record

ArticleJournal of the American College of Cardiology2019

Early-Life Environmental Exposures and Blood Pressure in Children.

Charline Warembourg, Léa Maitre, Ibon Tamayo-Uria, Serena Fossati, Theano Roumeliotaki, Gunn Marit Aasvang, Sandra Andrusaityte, Maribel Casas, Enrique Cequier, Lida Chatzi and 22 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 3 pooled it
8.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 3 syntheses or guidelines pooled it, 155 citations in OpenAlex.

  1. Pooled it
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  9. Pre- and postnatal exposure to PMEnvironmental research · 2026
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18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors at 9 institutions in 8 countries.

Charline WarembourgISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Léa MaitreISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Ibon Tamayo-UriaISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Serena FossatiISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Theano RoumeliotakiDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.
Gunn Marit AasvangNorwegian Institute of Public Health, Oslo, Norway.
Sandra AndrusaityteVytauto Didziojo Universitetas, Kaunus, Lithuania.
Maribel CasasISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Enrique CequierNorwegian Institute of Public Health, Oslo, Norway.
Lida ChatziDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Audrius DedeleVytauto Didziojo Universitetas, Kaunus, Lithuania.
Juan-Ramon GonzalezISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Regina GražulevičienėVytauto Didziojo Universitetas, Kaunus, Lithuania.
Line Smastuen HaugNorwegian Institute of Public Health, Oslo, Norway.
Carles Hernandez-FerrerISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Barbara HeudeINSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early ORigins of the Child's Health and Development Team (ORCHAD), Paris Descartes University, Paris, France.
Marianna KarachaliouDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.
Norun Hjertager KrogNorwegian Institute of Public Health, Oslo, Norway.
Rosemary McEachanBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom.
Mark NieuwenhuijsenISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Inga PetravicieneVytauto Didziojo Universitetas, Kaunus, Lithuania.
Joane QuentinInserm, Université Grenoble Alpes, CNRS, Institute of Advanced Biosciences, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France; CHU Grenoble Alpes, Grenoble, France.
Oliver RobinsonMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
Amrit Kaur SakhiNorwegian Institute of Public Health, Oslo, Norway.
Rémy SlamaInserm, Université Grenoble Alpes, CNRS, Institute of Advanced Biosciences, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France.
Cathrine ThomsenNorwegian Institute of Public Health, Oslo, Norway.
Jose UrquizaISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Marina VafeiadiDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.
Jane WestBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom.
John WrightBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom.
Martine VrijheidISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain.
Xavier BasagañaISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública, Madrid, Spain. Electronic address: xavier.basagana@isglobal.org.
Universitat Pompeu Fabra · ESNorwegian Institute of Public Health · NOVytautas Magnus University · LTBradford Royal Infirmary · GBUniversity of Crete · GRCentre National de la Recherche Scientifique · FRDélégation Paris 5 · FRImperial College London · GBUniversity of Southern California · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
Medical Research Council G0601712Medical Research Council MR/K006665/1Medical Research Council MR/K021656/1NIEHS NIH HHS N01 ES075558NIEHS NIH HHS P30 ES007048NINDS NIH HHS U01 NS047537Wellcome Trust
6 · The paper itself

Abstract

backgroundGrowing evidence exists about the fetal and environmental origins of hypertension, but mainly limited to single-exposure studies. The exposome has been proposed as a more holistic approach by studying many exposures simultaneously.

objectivesThis study aims to evaluate the association between a wide range of prenatal and postnatal exposures and blood pressure (BP) in children.

methodsSystolic and diastolic BP were measured among 1,277 children from the European HELIX (Human Early-Life Exposome) cohort aged 6 to 11 years. Prenatal (n = 89) and postnatal (n = 128) exposures include air pollution, built environment, meteorology, natural spaces, traffic, noise, chemicals, and lifestyles. Two methods adjusted for confounders were applied: an exposome-wide association study considering the exposures independently, and the deletion-substitution-addition algorithm considering all the exposures simultaneously.

resultsDecreases in systolic BP were observed with facility density (β change for an interquartile-range increase in exposure: -1.7 mm Hg [95% confidence interval (CI): -2.5 to -0.8 mm Hg]), maternal concentrations of polychlorinated biphenyl 118 (-1.4 mm Hg [95% CI: -2.6 to -0.2 mm Hg]) and child concentrations of dichlorodiphenyldichloroethylene (DDE: -1.6 mm Hg [95% CI: -2.4 to -0.7 mm Hg]), hexachlorobenzene (-1.5 mm Hg [95% CI: -2.4 to -0.6 mm Hg]), and mono-benzyl phthalate (-0.7 mm Hg [95% CI: -1.3 to -0.1 mm Hg]), whereas increases in systolic BP were observed with outdoor temperature during pregnancy (1.6 mm Hg [95% CI: 0.2 to 2.9 mm Hg]), high fish intake during pregnancy (2.0 mm Hg [95% CI: 0.4 to 3.5 mm Hg]), maternal cotinine concentrations (1.2 mm Hg [95% CI: -0.3 to 2.8 mm Hg]), and child perfluorooctanoate concentrations (0.9 mm Hg [95% CI: 0.1 to 1.6 mm Hg]). Decreases in diastolic BP were observed with outdoor temperature at examination (-1.4 mm Hg [95% CI: -2.3 to -0.5 mm Hg]) and child DDE concentrations (-1.1 mm Hg [95% CI: -1.9 to -0.3 mm Hg]), whereas increases in diastolic BP were observed with maternal bisphenol-A concentrations (0.7 mm Hg [95% CI: 0.1 to 1.4 mm Hg]), high fish intake during pregnancy (1.2 mm Hg [95% CI: -0.2 to 2.7 mm Hg]), and child copper concentrations (0.9 mm Hg [95% CI: 0.3 to 1.6 mm Hg]).

conclusionsThis study suggests that early-life exposure to several chemicals, as well as built environment and meteorological factors, may affect BP in children.

Indexed as

Environmental ExposureEnvironmental PollutantsHypertensionPrenatal Exposure Delayed EffectsBlood PressureBlood Pressure DeterminationBuilt EnvironmentChildDichlorodiphenyl DichloroethyleneEuropeFemaleHolistic HealthHumansInsecticidesMaleMeteorological ConceptsDichlorodiphenyl DichloroethyleneEnvironmental PollutantsInsecticidesPolychlorinated Biphenylsblood pressurechemicalschildrencohortenvironmentepidemiologyexposome

Identifiers

PMID31488269
PMCPMC8713646
OpenAlexW2971737841

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.