Evidence map›Paper›PMID 37343752›Full record

ArticleEnvironmental research2023

Anthropometric measures and arsenic methylation among pregnant women in rural northern Bangladesh.

Tyler J S Smith, Ana Navas-Acien, Sarah Baker, Caryn Kok, Kate Kruczynski, Lindsay N Avolio, Nora Pisanic, Pranay R Randad, Rebecca C Fry, Walter Goessler and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Environmental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

21 authors at 6 institutions in 3 countries.

Tyler J S SmithDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: tylersmith@jhu.edu.
Ana Navas-AcienDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Sarah BakerDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Caryn KokDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kate KruczynskiDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Lindsay N AvolioDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Nora PisanicDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Pranay R RandadDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Rebecca C FryDepartment of Environmental Sciences & Engineering, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA.
Walter GoesslerInstitute of Chemistry - Analytical Chemistry, University of Graz, Graz, Austria.
Alexander van GeenLamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.
Jessie P BuckleyDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Md Hafizur RahmanJiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh.
Hasmot AliJiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh.
Rezwanul HaqueJiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh.
Saijuddin ShaikhJiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh.
Towfida J SiddiquaJiVitA Maternal and Child Health and Nutrition Research Project, Rangpur, Bangladesh.
Kerry SchulzeDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Keith P WestDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Alain B LabriqueDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Christopher D HeaneyDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USChild Health Research Foundation · BDColumbia University · USLamont-Doherty Earth Observatory · USUniversity of Graz · ATUniversity of North Carolina at Chapel Hill · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
Traning Program in Environmental Health SciencesT32ES007141 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI Marsha Wills-Karp · 1985 to 2026
$22.2M
Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ana Navas-Acien · 2022 to 2026
$11.9M
Arsenic and immune response to influenza vaccination in pregnant women and newbornsR01ES026973 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI HEANEY, CHRISTOPHER D, LABRIQUE, ALAIN BERNARD · 2017 to 2021
$3.6M
Public health priority setting for environmental metals mixtures and birth defectsU01ES029531 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 2022 to 2022
$290k
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES033719NIEHS NIH HHS R01 ES026973NIEHS NIH HHS T32 ES007141NIEHS NIH HHS U01 ES029531
6 · The paper itself

Abstract

introductionArsenic methylation converts inorganic arsenic (iAs) to monomethyl (MMA) and dimethyl (DMA) arsenic compounds. Body mass index (BMI) has been positively associated with arsenic methylation efficiency (higher DMA%) in adults, but evidence in pregnancy is inconsistent. We estimated associations between anthropometric measures and arsenic methylation among pregnant women in rural northern Bangladesh.

methodsWe enrolled pregnant women (n = 784) (median [IQR] gestational week: 14 [13, 15]) in Gaibandha District, Bangladesh from 2018 to 2019. Anthropometric measures were BMI, subscapular and triceps skinfold thicknesses, and mid-upper arm circumference (MUAC), fat area (MUAFA), and muscle area (MUAMA). Arsenic methylation measures were urinary iAs, MMA, and DMA divided by their sum and multiplied by 100 (iAs%, MMA%, and DMA%), primary methylation index (MMA/iAs; PMI), and secondary methylation index (DMA/MMA; SMI). In complete cases (n = 765 [97.6%]), we fitted linear, beta, and Dirichlet regression models to estimate cross-sectional differences in iAs%, MMA%, DMA%, PMI, and SMI per IQR-unit difference in each anthropometric measure, adjusting for drinking water arsenic, age, gestational age, education, living standards index, and plasma folate, vitamin B12, and homocysteine.

resultsMedian (IQR) BMI, subscapular skinfold thickness, triceps skinfold thickness, MUAC, MUAFA, and MUAMA were 21.5 (19.4, 23.8) kg/m

conclusionsAnthropometric measures were positively associated with arsenic methylation efficiency among pregnant women in the early second trimester.

Indexed as

ArsenicArsenicalsAdultBangladeshCross-Sectional StudiesEnvironmental ExposureFemaleHumansMethylationPregnancyPregnant PeopleArsenicArsenicalsAdiposityAnthropometryArsenic metabolismMicronutrient statusOne-carbon metabolismPregnancy

Identifiers

PMID37343752
PMCPMC10518461
OpenAlexW4381186572

What OpenQuestion holds

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LicenceCC BY
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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.