Evidence map›Paper›PMID 30530161›Full record

ArticleEnvironment international2019

The early-life exposome: Description and patterns in six European countries.

Ibon Tamayo-Uria, Léa Maitre, Cathrine Thomsen, Mark J Nieuwenhuijsen, Leda Chatzi, Valérie Siroux, Gunn Marit Aasvang, Lydiane Agier, Sandra Andrusaityte, Maribel Casas and 22 more

Open access · hybridAbstract read
In one paragraph

Article in Environment international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 132 citations in OpenAlex.

  1. Article
  2. Article
  3. Linking the exposome to the brain-behaviour phenotype.Nature reviews. Neuroscience · 2026
    Review
  4. Relevance and challenges of exposome studies for environmental health research.Environmental health : a global access science source · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The methodology of quantitative risk assessment studies.Environmental health : a global access science source · 2024
    Review
  15. Article
  16. Article
  17. Environmental exposures in early-life and general health in childhood.Environmental health : a global access science source · 2023
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

32 authors at 9 institutions in 7 countries.

Ibon Tamayo-UriaISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA.
Léa MaitreISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
Cathrine ThomsenNorwegian Institute of Public Health, Oslo, Norway.
Mark J NieuwenhuijsenISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
Leda ChatziDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Valérie SirouxTeam of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France.
Gunn Marit AasvangNorwegian Institute of Public Health, Oslo, Norway.
Lydiane AgierTeam of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France.
Sandra AndrusaityteDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Maribel CasasISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
Montserrat de CastroISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
Audrius DedeleDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Line S HaugNorwegian Institute of Public Health, Oslo, Norway.
Barbara HeudeINSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early Origin of the child's Health and Development' (ORCHAD), Villejuif, France; Paris Descartes University, Paris, France.
Regina GrazulevicieneDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Kristine B GutzkowNorwegian Institute of Public Health, Oslo, Norway.
Norun H KrogNorwegian Institute of Public Health, Oslo, Norway.
Dan MasonBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Rosemary R C McEachanBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Helle M MeltzerNorwegian Institute of Public Health, Oslo, Norway.
Inga PetravicieneDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Oliver RobinsonISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Theano RoumeliotakiDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.
Amrit K SakhiNorwegian Institute of Public Health, Oslo, Norway.
Jose UrquizaISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
Marina VafeiadiDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.
Dagmar WaiblingerBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Charline WarembourgISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
John WrightBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Rémy SlamaTeam of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France.
Martine VrijheidISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
Xavier BasagañaISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain. Electronic address: xavier.basagana@isglobal.org.
Universitat Pompeu Fabra · ESNorwegian Institute of Public Health · NOBradford Teaching Hospitals NHS Foundation Trust · GBVytautas Magnus University · LTCentre National de la Recherche Scientifique · FRUniversity of Crete · GRDélégation Paris 5 · FRHarvard University · USUniversity of Southern California · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 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 MR/L01341X/1Medical Research Council MR/N024397/1NIEHS NIH HHS N01 ES075558NIEHS NIH HHS P30 ES007048NINDS NIH HHS U01 NS047537
6 · The paper itself

Abstract

Characterization of the "exposome", the set of all environmental factors that one is exposed to from conception onwards, has been advocated to better understand the role of environmental factors on chronic diseases. Here, we aimed to describe the early-life exposome. Specifically, we focused on the correlations between multiple environmental exposures, their patterns and their variability across European regions and across time (pregnancy and childhood periods). We relied on the Human Early-Life Exposome (HELIX) project, in which 87 environmental exposures during pregnancy and 122 during the childhood period (grouped in 19 exposure groups) were assessed in 1301 pregnant mothers and their children at 6-11 years in 6 European birth cohorts. Some correlations between exposures in the same exposure group reached high values above 0.8. The median correlation within exposure groups was >0.3 for many exposure groups, reaching 0.69 for water disinfection by products in pregnancy and 0.67 for the meteorological group in childhood. Median correlations between different exposure groups rarely reached 0.3. Some correlations were driven by cohort-level associations (e.g. air pollution and chemicals). Ten principal components explained 45% and 39% of the total variance in the pregnancy and childhood exposome, respectively, while 65 and 90 components were required to explain 95% of the exposome variability. Correlations between maternal (pregnancy) and childhood exposures were high (>0.6) for most exposures modeled at the residential address (e.g. air pollution), but were much lower and even close to zero for some chemical exposures. In conclusion, the early life exposome was high dimensional, meaning that it cannot easily be measured by or reduced to fewer components. Correlations between exposures from different exposure groups were much lower than within exposure groups, which have important implications for co-exposure confounding in multiple exposure studies. Also, we observed the early life exposome to be variable over time and to vary by cohort, so measurements at one time point or one place will not capture its complexities.

Indexed as

Environmental ExposureAir PollutionChildChronic DiseaseCohort StudiesEuropeFemaleHumansMothersPregnancyWater PurificationChildrenEarly lifeEnvironmental exposuresExposomePregnancy

Identifiers

PMID30530161
PMCPMC9946269
OpenAlexW2904291994

What OpenQuestion holds

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Registered trials

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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.