Evidence map›Paper›PMID 32179314›Full record

ArticleEnvironment international2020

Maternal blood metal and metalloid concentrations in association with birth outcomes in Northern Puerto Rico.

Pahriya Ashrap, Deborah J Watkins, Bhramar Mukherjee, Jonathan Boss, Michael J Richards, Zaira Rosario, Carmen M Vélez-Vega, Akram Alshawabkeh, José F Cordero, John D Meeker

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
7.1field-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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
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  18. Mercury Levels in Hair of Pregnant Women in Tumbes, Peru: A Cross-Sectional Study.The American journal of tropical medicine and hygiene · 2025
    Article
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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

10 authors at 5 institutions in 2 countries.

Pahriya AshrapUniversity of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, MI, United States.
Deborah J WatkinsUniversity of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, MI, United States.
Bhramar MukherjeeUniversity of Michigan School of Public Health, Department of Biostatistics, Ann Arbor, MI, United States.
Jonathan BossUniversity of Michigan School of Public Health, Department of Biostatistics, Ann Arbor, MI, United States.
Michael J RichardsNSF International, Ann Arbor, MI, United States.
Zaira RosarioDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, GA, United States.
Carmen M Vélez-VegaUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico, United States.
Akram AlshawabkehCollege of Engineering, Northeastern University, Boston, MA, United States.
José F CorderoDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, GA, United States.
John D MeekerUniversity of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, MI, United States. Electronic address: meekerj@umich.edu.
University of Michigan–Ann Arbor · USUniversity of Georgia · USNational Sanitation Foundation International · USNortheastern University · USUniversity of Puerto Rico, Medical Sciences Campus · PR

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI HARRIS, SEAN M · 2010 to 2024
$38.6M
Environmental Influences on Child Health Outcomes in Puerto Rico (ECHO-PRO)UH3OD023251 · OD · NORTHEASTERN UNIVERSITY · PI Akram N Alshawabkeh · 2018 to 2026
$24.0M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Toxicogenomics-based Mechanistic Multimedia Exposure Assessment and Child DevelopmentP50ES026049 · NIEHS · NORTHEASTERN UNIVERSITY · PI CORDERO, JOSE F · 2015 to 2018
$3.6M
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES017198NIEHS NIH HHS P50 ES026049NIH HHS UH3 OD023251
6 · The paper itself

Abstract

backgroundIn previous studies, exposures to heavy metals such as Pb and Cd have been associated with adverse birth outcomes; however, knowledge on effects at low levels of exposure and of other elements remain limited.

methodWe examined individual and mixture effects of metals and metalloids on birth outcomes among 812 pregnant women in the Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) cohort. We measured 16 essential and non-essential metal(loid)s in maternal blood collected at 16-20 and 24-28 weeks gestation. We used linear and logistic regression to independently examine associations between geometric mean (GM) concentrations of each metal across visits and gestational age, birthweight z-scores, preterm birth, small for gestational age (SGA), and large for gestational age (LGA). We evaluated effect modification with infant sex*metal interaction terms. To identify critical windows of susceptibility, birth outcomes were regressed on visit-specific metal concentrations. Furthermore, average metal concentrations were divided into tertiles to examine the potential for non-linear relationships. We used elastic net (ENET) regularization to construct Environmental Risk Score (ERS) as a metal risk score and Bayesian Kernel Machine Regression (BKMR) to identify individual metals most critical to each outcome, accounting for correlated exposures.

resultsIn adjusted models, an interquartile range (IQR) increase in GM lead (Pb) was associated with 1.63 higher odds of preterm birth (95%CI = 1.17, 2.28) and 2 days shorter gestational age (95% CI = -3.1, -0.5). Manganese (Mn) and zinc (Zn) were also associated with higher odds of preterm birth and shorter gestational age; the associations were strongest among the highest tertile for Mn and among females for Zn. Mercury (Hg) was associated with higher risk of preterm birth at the later window of pregnancy. Ni measured later in pregnancy was associated with lower odds of SGA. ENET and BKMR models selected similar metals as "important" predictors of birth outcomes. The association between ERS and preterm birth was assessed and the third tertile of ERS was significantly associated with an elevated odds ratio of 2.13 (95% CI = 1.12, 5.49) for preterm birth compared to the first tertile.

conclusionAs the PROTECT cohort has lower Pb concentrations (GM = 0.33 μg/dL) compared to the mainland US, our findings suggest that low-level prenatal lead exposure, as well as elevated Mn and Zn exposure, may adversely affect birth outcomes. Improved understanding on environmental factors contributing to preterm birth, together with sustainable technologies to remove contamination, will have a direct impact in Puerto Rico and elsewhere.

Indexed as

MetalloidsPremature BirthBayes TheoremFemaleGestational AgeHumansInfant, NewbornMaternal ExposurePregnancyPuerto RicoMetalloidsBiomarkersBirth outcomesMetalsMixturesPuerto Rico

Identifiers

PMID32179314
PMCPMC7198231
OpenAlexW3011626483

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.