Evidence map›Paper›PMID 30343184›Full record

ArticleEnvironment international2018

Urinary metals and metal mixtures in Bangladesh: Exploring environmental sources in the Health Effects of Arsenic Longitudinal Study (HEALS).

Tiffany R Sanchez, Vesna Slavkovich, Nancy LoIacono, Alexander van Geen, Tyler Ellis, Steven N Chillrud, Olgica Balac, Tarique Islam, Faruque Parvez, Habib Ahsan and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Environment international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

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  9. Analysis of urinary trace element levels in general population of Wuhan in central China.Environmental science and pollution research international · 2019
    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

12 authors at 5 institutions in 2 countries.

Tiffany R SanchezMailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA. Electronic address: trs2111@cumc.columbia.edu.
Vesna SlavkovichMailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA.
Nancy LoIaconoMailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA.
Alexander van GeenLamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, NY 10964, USA.
Tyler EllisLamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, NY 10964, USA.
Steven N ChillrudLamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, NY 10964, USA.
Olgica BalacMailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA.
Tarique IslamColumbia University Arsenic Project Office, Dhaka, Bangladesh.
Faruque ParvezMailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA.
Habib AhsanUniversity of Chicago, 5841 South Maryland Ave, Chicago, IL 60637, USA.
Joseph H GrazianoMailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA.
Ana Navas-AcienMailman School of Public Health, Columbia University, 722 W 168 St, New York, NY 10032, USA.
Columbia University · USLamont-Doherty Earth Observatory · USColumbia University Irving Medical Center · USUniversity of Chicago · USUniversity of Dhaka · BD

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI ELBERT S. HUANG · 2011 to 2026
$10.0M
Perkin-Elmer NexION-300D Inductively Coupled Mass Spectrometer (ICP-MS)S10OD016384 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GRAZIANO, JOSEPH H · 2014 to 2014
$181k
NIDDK NIH HHS P30 DK092949NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIH HHS S10 OD016384
6 · The paper itself

Abstract

introductionEnvironmental exposure to toxic metals and metalloids is pervasive and occurs from multiple sources. The Health Effects of Arsenic Longitudinal Study (HEALS) is an ongoing prospective study predominantly focused on understanding health effects associated with arsenic exposure from drinking water. The goal of this project was to measure a suite of elements in urine to better understand potential exposure patterns and to identify common environmental sources of exposure among this semi-rural Bangladeshi population.

methodsIn a random sample of 199 adult HEALS participants (50% female), the concentrations of 15 urinary elements (As, Ba, Cd, Co, Cs, Cu, Mn, Mo, Ni, Pb, Se, Sr, Tl, W, Zn) were assessed by Inductively-Coupled Plasma Mass Spectrometry (ICP-MS) to assess commonalities with sociodemographic characteristics and potential sources of exposure. We used principal component analysis (PCA) with varimax normalized rotations, and hierarchical cluster analysis (CA), using Ward's method with Euclidean distances, to evaluate these relationships.

resultsPCA and CA showed similar patterns, suggesting 6 principal components (PC) and 5 clusters: 1)PC: Sr-Ni-Cs/ CA: Sr-Ni-Co; 2) Pb-Tl/Pb-Tl-Se-Cs; 3) As-Mo-W/As-Mo-W; 4) Ba-Mn/Ba-Mn; 5) Cu-Zn/Cu-Zn-Cd; and 6) Cd. There was a strong significant association between the As-Mo-W PC/cluster and water arsenic levels (p < 0.001) and between the Cd PC and betel nut use (p = 0.003). The Sr-Ni-Cs PC was not related to any of the socio-demographic characteristics investigated, including smoking status and occupation. The first PC, Sr-Ni-Cs, explained 21% of the variability; the third PC, As-Mo-W, explained 12.5% of the variability; and the sixth PC, Cd, explained 10% of the variability. Day laborers appeared to have the highest exposure.

conclusionsGroundwater and betel nut use are likely important sources of metal and metalloid exposure in this population. These findings will guide future exposure assessment research in Bangladesh and future epidemiologic research investigating the degree to which metal mixtures play a role in disease development.

Indexed as

AdultAgedAged, 80 and overArsenicBangladeshEnvironmental ExposureEnvironmental MonitoringFemaleHumansLongitudinal StudiesMaleMetalsMiddle AgedYoung AdultArsenicMetalsAir pollutionBetel nut useBiomonitoringGroundwaterMetalloidsMetal mixturesMetals

Identifiers

PMID30343184
PMCPMC6231410
OpenAlexW2896983231

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.