Evidence map›Paper›PMID 40250593›Full record

ArticleEnvironmental research2025

Impact of manganese and metal mixtures in blood, hair, and soil on child adaptive behaviors in Southeast Side Chicago.

Christine Kim, Timothy J Hilbert, Kelly J Brunst, Anthony A Mangino, W Jay Christian, Patrick J Parsons, Christopher D Palmer, Julio Landero, Susan Westneat, Ian Papautsky and 2 more

Abstract read
In one paragraph

Article in Environmental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. 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

12 authors.

Christine KimUniversity of Kentucky, College of Public Health, Lexington, KY, 40536, USA.
Timothy J HilbertUniversity of Kentucky, College of Public Health, Lexington, KY, 40536, USA.
Kelly J BrunstUniversity of Cincinnati College of Medicine, Department of Environmental and Public Health Sciences, Cincinnati, OH, 45267, USA.
Anthony A ManginoUniversity of Kentucky, College of Public Health, Lexington, KY, 40536, USA.
W Jay ChristianUniversity of Kentucky, College of Public Health, Lexington, KY, 40536, USA.
Patrick J ParsonsNew York State Department of Health, Wadsworth Center, Division of Environmental Health Sciences, Albany, NY, 12237, USA; University of Albany, School of Public Health, Department of Environmental Health Sciences, 1400 Washington Ave, Albany, NY, 12222, USA.
Christopher D PalmerNew York State Department of Health, Wadsworth Center, Division of Environmental Health Sciences, Albany, NY, 12237, USA; University of Albany, School of Public Health, Department of Environmental Health Sciences, 1400 Washington Ave, Albany, NY, 12222, USA.
Julio LanderoIcahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Climate Science, New York, NY, 10029, USA.
Susan WestneatUniversity of Kentucky, College of Public Health, Lexington, KY, 40536, USA.
Ian PapautskyUniversity of Illinois Chicago, Department of Biomedical Engineering, Chicago, IL, 60607, USA; University of Illinois Cancer Center, Chicago, IL, 60612, USA.
Kim N DietrichUniversity of Cincinnati College of Medicine, Department of Environmental and Public Health Sciences, Cincinnati, OH, 45267, USA.
Erin N HaynesUniversity of Kentucky, College of Public Health, Lexington, KY, 40536, USA. Electronic address: erin.haynes@uky.edu.

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Chris Gennings · 2014 to 2026
$21.3M
Pilot Project ProgramP30ES026529 · NIEHS · UNIVERSITY OF KENTUCKY · PI Erin N Haynes · 2017 to 2026
$15.4M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Retention, Maintenance and Enhancement of the Communities Actively Researching Exposure Study (CARES)R24ES030904 · NIEHS · UNIVERSITY OF KENTUCKY · PI HAYNES, ERIN N · 2020 to 2024
$1.8M
Validation and Demonstration of Point-of-Care Sensor for Multi-Metal Exposure AssessmentR33ES024717 · NIEHS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PAPAUTSKY, IAN · 2018 to 2020
$1.8M
Validation and Demonstration of Point-of-Care Sensor for Multi-Metal Exposure AssessmentR21ES024717 · NIEHS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HAYNES, ERIN N, PAPAUTSKY, IAN · 2015 to 2016
$433k
NCATS NIH HHS UL1 TR001998NIEHS NIH HHS P30 ES023515NIEHS NIH HHS P30 ES026529NIEHS NIH HHS P30 ES027792NIEHS NIH HHS R21 ES024717NIEHS NIH HHS R24 ES030904NIEHS NIH HHS R33 ES024717NIEHS NIH HHS U2C ES026561
6 · The paper itself

Abstract

backgroundManganese (Mn) is essential in growth and development, yet higher levels of Mn are associated with deficits in neurodevelopment. Elevated air Mn was identified near Mn alloy processing facilities in Southeast Side Chicago resulting in community concern about child exposure and health.

methodsBlood, hair, and soil samples were collected and analyzed for multiple metals for children ages 7-17 years and a parent/primary caregiver completed surveys. We used generalized estimating equations to assess associations between metals and the Adaptive Behavior Assessment System 3rd Edition (ABAS-3) scores. Sensitivity analyses were conducted to determine effect modification by child sex on associations between metals and ABAS-3 scores. Bayesian kernel machine regression was used as our principal analytic framework to assess the associations between metal mixtures and adaptive behaviors.

resultsThe analyses included 108 children. Residential distance from the nearest Mn industrial source was inversely correlated with soil Mn levels and some were above the federal screening level. A significant association was found between soil Mn and lower ABAS-3 score (β: 3.78, 95 % CI: 7.31, -0.25), and between blood Mn and lower scores in females (β: 11.8, 95 % CI: 21.7, -1.87). ABAS-3 scores were negatively associated with the blood metals mixture, primarily driven by Mn.

conclusionChildren in Southeast Side Chicago have elevated levels of soil Mn and soil Mn was associated with poorer ABAS-3 scores. Sex-specific differences were found between metal levels and ABAS-3 scores. After considering multiple metals in mixture, Mn was the primary driver of poorer adaptive behavior.

Indexed as

Child BehaviorEnvironmental ExposureHairManganeseMetalsSoil PollutantsAdolescentChicagoChildFemaleHumansMaleSoilManganeseMetalsSoilSoil PollutantsABAS-3BKMRCommunity-engaged researchMetalsMixturePediatric

Identifiers

PMID40250593
PMCPMC12124939

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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.