Evidence map›Paper›PMID 32167557›Full record

ArticleInternational journal of epidemiology2020

Association between the pregnancy exposome and fetal growth.

Lydiane Agier, Xavier Basagaña, Carles Hernandez-Ferrer, Léa Maitre, Ibon Tamayo Uria, Jose Urquiza, Sandra Andrusaityte, Maribel Casas, Montserrat de Castro, Enrique Cequier and 22 more

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 36 citations in OpenAlex.

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  15. The Exposome Approach to Decipher the Role of Multiple Environmental and Lifestyle Determinants in Asthma.International journal of environmental research and public health · 2021
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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 9 countries.

Lydiane AgierInserm, CNRS, University Grenoble Alpes, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, Grenoble, France.
Xavier BasagañaISGlobal, Barcelona, Spain.
Carles Hernandez-FerrerISGlobal, Barcelona, Spain.
Léa MaitreISGlobal, Barcelona, Spain.
Ibon Tamayo UriaISGlobal, Barcelona, Spain.
Jose UrquizaISGlobal, Barcelona, Spain.
Sandra AndrusaityteDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Maribel CasasISGlobal, Barcelona, Spain.
Montserrat de CastroISGlobal, Barcelona, Spain.
Enrique CequierNorwegian Institute of Public Health, Oslo, Norway.
Leda ChatziDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
David Donaire-GonzalezInstitute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, The Netherlands.
Lise Giorgis-AllemandInserm, CNRS, University Grenoble Alpes, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, Grenoble, France.
Juan R GonzalezISGlobal, Barcelona, Spain.
Regina GrazulevicieneDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.
Kristine B GützkowNorwegian Institute of Public Health, Oslo, Norway.
Line S HaugNorwegian Institute of Public Health, Oslo, Norway.
Amrit K SakhiNorwegian Institute of Public Health, Oslo, Norway.
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.
Mark NieuwenhuijsenISGlobal, Barcelona, Spain.
Oliver RobinsonMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Theano RoumeliotakiDepartment of Social Medicine, University of Crete, Greece.
Jordi SunyerISGlobal, Barcelona, Spain.
Cathrine ThomsenNorwegian Institute of Public Health, Oslo, Norway.
Marina VafeiadiDepartment of Social Medicine, University of Crete, Greece.
Antonia ValentinISGlobal, Barcelona, Spain.
Jane WestBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
John WrightBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Valérie SirouxInserm, CNRS, University Grenoble Alpes, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, Grenoble, France.
Martine VrijheidISGlobal, Barcelona, Spain.
Rémy SlamaInserm, CNRS, University Grenoble Alpes, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, Grenoble, France.
Universitat Pompeu Fabra · ESNorwegian Institute of Public Health · NOCentre National de la Recherche Scientifique · FRBradford Royal Infirmary · GBUniversity of Crete · GRVytautas Magnus University · LTMRC Centre for Environment and HealthUniversity of Southern California · USUtrecht University · NL

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 MR/N024397/1Medical Research Council MR/S019669/1NIEHS NIH HHS N01 ES075558NIEHS NIH HHS P30 ES007048NINDS NIH HHS U01 NS047537
6 · The paper itself

Abstract

backgroundSeveral environmental contaminants were shown to possibly influence fetal growth, generally from single exposure family studies, which are prone to publication bias and confounding by co-exposures. The exposome paradigm offers perspectives to avoid selective reporting of findings and to control for confounding by co-exposures. We aimed to characterize associations of fetal growth with the pregnancy chemical and external exposomes.

methodsWithin the Human Early-Life Exposome project, 131 prenatal exposures were assessed using biomarkers and environmental models in 1287 mother-child pairs from six European cohorts. We investigated their associations with fetal growth using a deletion-substitution-addition (DSA) algorithm considering all exposures simultaneously, and an exposome-wide association study (ExWAS) considering each exposure independently. We corrected for exposure measurement error and tested for exposure-exposure and sex-exposure interactions.

resultsThe DSA model identified lead blood level, which was associated with a 97 g birth weight decrease for each doubling in lead concentration. No exposure passed the multiple testing-corrected significance threshold of ExWAS; without multiple testing correction, this model was in favour of negative associations of lead, fine particulate matter concentration and absorbance with birth weight, and of a positive sex-specific association of parabens with birth weight in boys. No two-way interaction between exposure variables was identified.

conclusionsThis first large-scale exposome study of fetal growth simultaneously considered >100 environmental exposures. Compared with single exposure studies, our approach allowed making all tests (usually reported in successive publications) explicit. Lead exposure is still a health concern in Europe and parabens health effects warrant further investigation.

Indexed as

ExposomeFetal DevelopmentMaternal ExposureCohort StudiesEuropeFemaleHumansMalePregnancyBiomarkerschemical exposurescohortenvironmentexposomefetal growthmixtures

Identifiers

PMID32167557
PMCPMC7266545
OpenAlexW3011809165

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.