Evidence map›Paper›PMID 35508240›Full record

ArticleThe Science of the total environment2022

Associations between estimates of perinatal industrial pollution exposures and intellectual disability in Utah children.

Sara E Grineski, Roger Renteria, Timothy W Collins, Aparna Mangadu, Camden Alexander, Deborah Bilder, Amanda Bakian

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Prenatal ozone exposure and risk of intellectual disability.Journal of exposure science & environmental epidemiology · 2026
    Article
  2. PMJournal of exposure science & environmental epidemiology · 2024
    Article
  3. Article
  4. Article
  5. Trimester-specific ambient PMEnvironmental research · 2023
    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

7 authors at 2 institutions in 1 country.

Sara E GrineskiUniversity of Utah, Department of Sociology, 380 S. 1530 E., Rm. 301, Salt Lake City, UT 84112, USA. Electronic address: sara.grineski@soc.utah.edu.
Roger RenteriaUniversity of Utah, Department of Sociology, 380 S. 1530 E., Rm. 301, Salt Lake City, UT 84112, USA.
Timothy W CollinsUniversity of Utah, Department of Geography, 260 Central Campus Dr., Rm. 4728, Salt Lake City, UT 84112, USA.
Aparna MangaduUniversity of Texas at El Paso, BUILDing SCHOLARS Program, Chemistry & Computer Science Building, Room g0706, 500 W University, El Paso, TX 79968, USA.
Camden AlexanderUniversity of Utah, Department of Sociology, 380 S. 1530 E., Rm. 301, Salt Lake City, UT 84112, USA.
Deborah BilderUniversity of Utah School of Medicine, Department of Psychiatry, 30 N. 1900 E., Salt Lake City, UT 84132, USA.
Amanda BakianUniversity of Utah School of Medicine, Department of Psychiatry, 30 N. 1900 E., Salt Lake City, UT 84132, USA.
University of Utah · USThe University of Texas at El Paso · US

Funding

Phase II of BUILDing SCHOLARSUL1GM118970 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI ALEY, STEPHEN B, BOLAND, THOMAS · 2015 to 2023
$17.9M
Phase II of BUILDing SCHOLARS - Student Training CoreTL4GM118971 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI ALEY, STEPHEN B, BOLAND, THOMAS · 2015 to 2023
$9.9M
Phase II of BUILDing SCHOLARS - Research Enrichment CoreRL5GM118969 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI ALEY, STEPHEN B, BOLAND, THOMAS · 2015 to 2023
$7.4M
Health, Air Pollution, and Population Initiative in Education and Science Training II (HAPPIEST II)R25ES031497 · NIEHS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Timothy William Collins, Sara Grineski · 2021 to 2026
$780k
NIEHS NIH HHS R25 ES031497NIGMS NIH HHS RL5 GM118969NIGMS NIH HHS TL4 GM118971NIGMS NIH HHS UL1 GM118970
6 · The paper itself

Abstract

While heavy metals exposure is associated with intellectual disability (ID), little is known about associations between industrial pollution and ID. The objective of this analysis is to assess associations between estimated perinatal industrial pollution exposures from the US Environmental Protection Agency's Risk Screening Environmental Indicators Microdata and children's ID risk. We conducted a case-control study of children born in Utah from 2000 to 2008 (n = 1679). Cases were identified through the Center for Disease Control's Autism and Developmental Disabilities Monitoring Network's Utah site and matched with controls based on birth year, sex, and birth county. We used multivariable generalized estimating equations to examine associations between estimated perinatal industrial pollution exposures and ID risk. The fourth quartile of industrial pollution exposure was associated with increased odds of ID relative to the first (Odds Ratio [OR]: 1.73, 95% Confidence Interval [CI]: 1.23-2.44) and second (OR: 1.67, CI: 1.19-2.35) quartiles. Similarly, the third quartile was associated with increased odds of ID relative to the first (OR: 1.47, CI: 1.06-2.03) and second (OR: 1.41, CI: 1.02-1.96) quartiles. Findings were robust to varied model specifications. Maternal residential exposures to industrial pollution were associated with increased ID prevalence in Utah. Since environmental correlates of ID are understudied, additional research is needed.

Indexed as

Autistic DisorderIntellectual DisabilityCase-Control StudiesChildFemaleHumansMaternal ExposurePregnancyUtahIndustrial air pollutionIntellectual disabilityMaternal residential addressRisk-Screening Environmental Indicators (RSEI)Utah Population Database

Identifiers

PMID35508240
PMCPMC10077518
OpenAlexW4225248825

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.