Evidence map›Paper›PMID 36122627›Full record

ArticleNeurotoxicology2022

Exposure to metal mixtures and neuropsychological functioning in middle childhood.

Cheryl R Stein, Haotian Wu, David C Bellinger, Donald R Smith, Mary S Wolff, David A Savitz

Open access · greenAbstract read
In one paragraph

Article in Neurotoxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

6 authors at 6 institutions in 1 country.

Cheryl R SteinHassenfeld Children's Hospital at NYU Langone, Department of Child and Adolescent Psychiatry, Child Study Center, One Park Avenue, 7th Floor, New York, NY 10016, USA. Electronic address: cheryl.stein@nyulangone.org.
Haotian WuDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th St, New York, NY 10032, USA. Electronic address: Hw2694@cumc.columbia.edu.
David C BellingerDepartment of Neurology, Boston Children's Hospital, Farley Basement Box 127, 300 Longwood Ave, Boston, MA 02115, USA. Electronic address: David.Bellinger@childrens.harvard.edu.
Donald R SmithDepartment of Microbiology and Environmental Toxicology, University of California, 442 Physical Sciences Building, Santa Cruz, CA 95064, USA. Electronic address: drsmith@ucsc.edu.
Mary S WolffDepartment of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, 17 East 102 Street, New York, NY 10029, USA. Electronic address: mary.wolff@mssm.edu.
David A SavitzDepartment of Epidemiology, Brown University School of Public Health, 121 S. Main Street, Box G-S-121-2, Providence, RI 02912, USA. Electronic address: david_savitz@brown.edu.
Boston Children's Hospital · USBrown University · USColumbia University · USIcahn School of Medicine at Mount Sinai · USNYU Langone Health · USUniversity of California, Santa Cruz · US

Funding

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
Metals in Hair and Child Neurobehavioral DevelopmentR21ES019643 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI STEIN, CHERYL R · 2011 to 2012
$466k
NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R21 ES019643
6 · The paper itself

Abstract

Elevated exposure to multiple trace metals can be neurotoxic even at relatively low levels. These findings are primarily evident from adult occupational studies as well as in children exposed prenatally or in early childhood. Less research has focused on the neurodevelopmental impacts of exposure to metals among school-aged children. We examined associations between exposure to a mixture of four metals (arsenic, cadmium, manganese, lead) measured in hair and markers of cognition, attention, and behavior among 222 6-12 year old children who participated in a 2009-2010 neurodevelopmental follow-up to the C8 Health Project. Using quantile-based g-computation we estimated the adjusted overall metal mixture effect ψ (95 % CI) as the change in outcome per decile increase in all metals in the mixture. Hair metal levels varied by metal, with cadmium being lowest (median 0.007, interquartile range (IQR) 0.013 μg/g) and lead the highest concentration (median 0.152, IQR 0.252 μg/g). Children's cognitive skills and development, attention/impulsivity, and behavior were all close to standardized population means. Each decile increase in all metals was associated with a Full Scale IQ reduction of 1.01 points (95 % confidence interval (CI) -1.88, -0.15) and Verbal IQ reduction of 1.11 points (95 % CI -1.97, -0.25), adjusted for child age, sex, secondhand smoke exposure, HOME score, maternal education, maternal IQ, and examiner. Maternal report of ADHD-like behaviors and executive functioning also showed adverse associations with the metal mixture. Our findings suggest that similar to exposure during prenatal and early childhood periods, recent exposure to metals during middle childhood is associated with adverse neurodevelopmental consequences. Middle childhood may also be a developmental window of susceptibility to the negative consequences of exposure to environmental neurotoxicants.

Indexed as

ArsenicPrenatal Exposure Delayed EffectsAdultCadmiumChildChild, PreschoolEnvironmental ExposureFemaleHumansManganeseMetalsPregnancyArsenicCadmiumManganeseMetalsChild behaviorMetal mixturesNeuropsychological testsSchool age population

Identifiers

PMID36122627
PMCPMC10513744
OpenAlexW4296068325

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.