Evidence map›Paper›PMID 34147999›Full record

ArticleEnvironment international2021

Early pregnancy exposure to metal mixture and birth outcomes - A prospective study in Project Viva.

Mohammad L Rahman, Emily Oken, Marie-France Hivert, Sheryl Rifas-Shiman, Pi-I D Lin, Elena Colicino, Robert O Wright, Chitra Amarasiriwardena, Birgit G Claus Henn, Diane R Gold and 2 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  16. Update of the risk assessment of inorganic arsenic in food.EFSA journal. European Food Safety Authority · 2024
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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

12 authors at 5 institutions in 1 country.

Mohammad L RahmanDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Marie-France HivertDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
Sheryl Rifas-ShimanDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Pi-I D LinDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Elena ColicinoDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Robert O WrightDepartment of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Chitra AmarasiriwardenaDepartment of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Birgit G Claus HennDepartment of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA.
Diane R GoldDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Brent A CoullDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Andres CardenasDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA. Electronic address: andres.cardenas@berkeley.edu.
Harvard University · USIcahn School of Medicine at Mount Sinai · USBerkeley Public Health Division · USBoston University · USBrigham and Women's Hospital · US

Funding

Mount Sinai ECHO site for Perinatal Environment and Development StudiesUH3OD023337 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2018 to 2026
$54.1M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TEITELBAUM, SUSAN L · 2015 to 2025
$26.4M
Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
Prenatal environmental determinants of health in young adulthood: a lifecourse approachR01HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Marie-France Hivert, Emily Oken · 1998 to 2026
$20.6M
Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methodsUH3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2018 to 2022
$11.7M
PRENATAL AND POSTNATAL EXPOSURE TO ENVIRONMENTAL MIXTURES: NEURODEVELOPMENT AND DNA METHYLATION BIOMARKERSR01ES031259 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CARDENAS, ANDRES · 2020 to 2024
$1.9M
NCATS NIH HHS UL1 TR004419NICHD NIH HHS R01 HD034568NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES031259NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIH HHS UH3 OD023286NIH HHS UH3 OD023337
6 · The paper itself

Abstract

backgroundPrenatal exposure to metals has been individually associated with birth outcomes. However, little is known about the effect of metal mixture, particularly at low exposure levels.

objectivesTo estimate individual and joint effects of metal mixture components on birth outcomes.

methodsWe used data from 1,391 mother-infant pairs in Project Viva (1999-2002). We measured 11 metals in maternal 1st trimester erythrocyte; abstracted birth weight from medical records; calculated gestational age from last menstrual period or ultrasound; and obtained birth length (n = 729) and head circumference (n = 791) from research measurements. We estimated individual and joint effects of metals using multivariable linear and Bayesian kernel machine regressions.

resultsIn both single metal and metal mixture analyses, exposure to higher concentrations of arsenic was associated with lower birth weight in males, zinc with higher head circumference in females, and manganese with higher birth length in sex-combined analysis. We also observed sex-specific metal interactions with birth outcomes. Arsenic and manganese showed a synergistic association with birth weight in males, in whom an interquartile range (IQR) increase in arsenic was associated with 25.3 g (95% CI: -79.9, 29.3), 47.9 g (95% CI: -98.0, 2.1), and 72.2 g (95% CI: -129.8, -14.7) lower birth weight when manganese concentrations were at 25th, 50th, and 75th percentiles, respectively. Lead and zinc showed an antagonistic association with head circumference in males, where an IQR increase in lead was associated with 0.18 cm (95% CI: -0.35, -0.02), 0.10 cm (95% CI: -0.25, 0.04), 0.03 cm (95% CI: -0.2, 0.14) smaller head circumference when zinc concentrations were at 25th, 50th, and 75th percentiles, respectively. Exposure to higher concentrations of arsenic was also associated with lower gestational age in males when concentrations of manganese and lead were higher. DISCUSSION: Maternal erythrocyte concentrations of arsenic, manganese, lead, and zinc were individually and interactively associated with birth outcomes. The associations varied by infant sex and exposure level of other mixture components.

Indexed as

ArsenicBayes TheoremBirth WeightFemaleGestational AgeHumansInfantMaleMaternal ExposurePregnancyProspective StudiesArsenicArsenicBirth outcomeEnvironmental exposureLeadManganeseMetalsMixture analysisPregnancy

Identifiers

PMID34147999
PMCPMC8842844
OpenAlexW3175117086

What OpenQuestion holds

Textmetadata
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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.