Evidence map›Paper›PMID 31357156›Full record

ArticleEnvironmental research2019

Maternal blood arsenic levels and associations with birth weight-for-gestational age.

Anne M Mullin, Chitra Amarasiriwardena, Alejandra Cantoral-Preciado, Birgit Claus Henn, Hsiao-Hsien Leon Hsu, Alison P Sanders, Katherine Svensson, Marcela Tamayo-Ortiz, Martha M Téllez-Rojo, Robert O Wright and 1 more

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  7. Update of the risk assessment of inorganic arsenic in food.EFSA journal. European Food Safety Authority · 2024
    Article
  8. Article
  9. Article
  10. Biomonitoring of inorganic arsenic species in pregnancy.Journal of exposure science & environmental epidemiology · 2023
    Review
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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

11 authors at 6 institutions in 2 countries.

Anne M MullinUniversity of Vermont, United States.
Chitra AmarasiriwardenaDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY, United States.
Alejandra Cantoral-PreciadoNational Institute of Public Health, Cuernavaca, Mexico; National Council of Science and Technology, Mexico.
Birgit Claus HennDepartment of Environmental Health, Boston University School of Public Health, United States.
Hsiao-Hsien Leon HsuDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY, United States.
Alison P SandersDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY, United States.
Katherine SvenssonDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY, United States.
Marcela Tamayo-OrtizNational Institute of Public Health, Cuernavaca, Mexico; National Council of Science and Technology, Mexico.
Martha M Téllez-RojoNational Institute of Public Health, Cuernavaca, Mexico; National Council of Science and Technology, Mexico.
Robert O WrightDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY, United States.
Heather H BurrisDepartment of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at Univ. of Pennsylvania, PA, United States. Electronic address: burrish@email.chop.edu.
Icahn School of Medicine at Mount Sinai · USInstituto Nacional de Salud Pública · MXBoston University · USConsejo Nacional de Humanidades, Ciencias y Tecnologías · MXUniversity of Pennsylvania · USUniversity of Vermont · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
Metal Mixtures and NeurodevelopmentR01ES014930 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI WRIGHT, ROBERT O · 2006 to 2010
$3.2M
The Programming Research in Obesity, GRowth, Environment and Social Stress (PROGRESS) CohortR24ES028522 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Megan K Horton, Maria Jose Rosa · 2017 to 2026
$1.8M
Steer and trees summer research programsR25ES021649 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI FIELD, JEFFREY M · 2013 to 2022
$830k
The Toxic Environment and the Epigenetics of Fetal GrowthK23ES022242 · NIEHS · CHILDREN'S HOSP OF PHILADELPHIA · PI BURRIS, HEATHER HERSON · 2013 to 2017
$790k
Children's Exposure to Metals, MicroRNAs and Biomarkers of Renal HealthR00ES027508 · NIEHS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANDERS, ALISON P · 2018 to 2020
$738k
NIEHS NIH HHS K23 ES022242NIEHS NIH HHS P30 ES013508NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R00 ES027508NIEHS NIH HHS R01 ES013744NIEHS NIH HHS R01 ES014930NIEHS NIH HHS R24 ES028522NIEHS NIH HHS R25 ES021649
6 · The paper itself

Abstract

backgroundAmong highly exposed populations, arsenic exposure in utero may be associated with decreased birth weight, however less is known about potential effects of arsenic exposure in urban communities without contaminated sources such as drinking water.

objectiveInvestigate the association of blood arsenic levels with birth weight-for-gestational age categories within a prospective birth cohort study. DESIGN/

methodsWe analyzed 730 mother-infant dyads within the Programming Research in Obesity, GRowth, Environment and Social Stressors (PROGRESS) cohort in Mexico City. Total arsenic was measured in maternal blood samples from the 2nd and 3rd trimesters, at delivery, as well as from infant umbilical cord blood samples. Multivariable, multinomial logistic regression models adjusting for maternal age at enrollment, pre-pregnancy body mass index, parity, infant sex, socioeconomic position, and prenatal environmental tobacco smoke exposure were used to calculate odds ratios of small-for-gestational age (<10th percentile, SGA) and large-for-gestational age (>90th percentile, LGA) compared to appropriate-for-gestational age (AGA) per unit increase of log-transformed arsenic.

resultsMedian (IQR) blood arsenic levels for maternal second trimester were 0.72 (0.33) μg/L, maternal third trimester 0.75 (0.41) μg/L, maternal at delivery 0.85 (0.70) μg/L, and infant cord 0.78 (0.65) μg/L. Maternal delivery and infant cord blood samples were most strongly correlated (spearman r = 0.65, p < 0.0001). Maternal arsenic levels at delivery were associated with significantly higher odds of both SGA (adj. OR = 1.44, 95% CI: 1.08-1.93) and LGA (adj. OR = 2.03, 95% CI: 1.12-3.67) compared to AGA. Results were similar for cord blood. There were 130 SGA infants and 22 LGA infants. Earlier in pregnancy, there were no significant associations of arsenic and birth weight-for-gestational age. However, we observed non-significantly higher odds of LGA among women with higher arsenic levels in the 3rd trimester (adj. OR = 1.46, 95% CI: 0.67-3.12).

conclusionWe found that in a Mexico City birth cohort, higher maternal blood arsenic levels at delivery were associated with higher odds of both SGA and LGA. However, sources and species of arsenic were not known and the number of LGA infants was small, limiting the interpretation of this finding and highlighting the importance of future large studies to incorporate arsenic speciation. If our findings were confirmed in studies that addressed these limitations, determining modifiable factors that could be mitigated, such as sources of arsenic exposure, may be important for optimizing fetal growth to improve long-term health of children.

Indexed as

Birth WeightGestational AgeArsenicChildCohort StudiesEnvironmental PollutantsFemaleHumansInfantInfant, NewbornInfant, Small for Gestational AgeMaleMaternal ExposureMexicoPregnancyProspective StudiesArsenicEnvironmental PollutantsArsenicBirth weightGestational agePregnancy

Identifiers

PMID31357156
PMCPMC6737536
OpenAlexW2946780495

What OpenQuestion holds

Textmetadata
LicenceTDM
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.