Evidence map›Paper›PMID 27301968›Full record

ArticleEnvironmental monitoring and assessment2016

Autism spectrum disorder prevalence and associations with air concentrations of lead, mercury, and arsenic.

Aisha S Dickerson, Mohammad H Rahbar, Amanda V Bakian, Deborah A Bilder, Rebecca A Harrington, Sydney Pettygrove, Russell S Kirby, Maureen S Durkin, Inkyu Han, Lemuel A Moyé and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Prenatal ozone exposure and risk of intellectual disability.Journal of exposure science & environmental epidemiology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Expanding Research on Contextual Factors in Autism Research: What Took Us So Long?Autism research : official journal of the International Society for Autism Research · 2025
    Article
  10. Article
  11. AAV vector-derived elements integrate into Cas9-generated double-strand breaks and disrupt gene transcription.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 8 institutions in 1 country.

Aisha S DickersonBiostatistics/Epidemiology/Research Design (BERD) Core, Center for Clinical and Translational Sciences (CCTS), University of Texas Health Science Center at Houston, 6410 Fannin Street, UT Professional Building Suite 1100.05, Houston, TX, 77030, USA. Aisha.S.Dickerson@uth.tmc.edu.
Mohammad H RahbarBiostatistics/Epidemiology/Research Design (BERD) Core, Center for Clinical and Translational Sciences (CCTS), University of Texas Health Science Center at Houston, 6410 Fannin Street, UT Professional Building Suite 1100.05, Houston, TX, 77030, USA.
Amanda V BakianDivision of Child Psychiatry, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA.
Deborah A BilderDivision of Child Psychiatry, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA.
Rebecca A HarringtonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Sydney PettygroveMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, 85721, USA.
Russell S KirbyDepartment of Community and Family Health, College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
Maureen S DurkinWaisman Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53726, USA.
Inkyu HanDivision of Epidemiology, Human Genetics, and Environmental Sciences (EHGES), University of Texas School of Public Health at Houston, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Lemuel A MoyéDivision of Biostatistics, University of Texas School of Public Health at Houston, Houston, TX, 77030, USA.
Deborah A PearsonDepartment of Psychiatry and Behavioral Sciences, University of Texas Medical School, Houston, TX, 77054, USA.
Martha Slay WingateDepartment of Health Care Organization and Policy, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, 35205, USA.
Walter M ZahorodnyDepartment of Pediatrics, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA.
The University of Texas Health Science Center at Houston · USUniversity of Utah · USJohns Hopkins University · USRutgers New Jersey Medical SchoolUniversity of Alabama at Birmingham · USUniversity of Arizona · USUniversity of South Florida · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lead, mercury, and arsenic are neurotoxicants with known effects on neurodevelopment. Autism spectrum disorder (ASD) is a neurodevelopmental disorder apparent by early childhood. Using data on 4486 children with ASD residing in 2489 census tracts in five sites of the Centers for Disease Control and Prevention's Autism and Developmental Disabilities Monitoring (ADDM) Network, we used multi-level negative binomial models to investigate if ambient lead, mercury, and arsenic concentrations, as measured by the US Environmental Protection Agency National-Scale Air Toxics Assessment (EPA-NATA), were associated with ASD prevalence. In unadjusted analyses, ambient metal concentrations were negatively associated with ASD prevalence. After adjusting for confounding factors, tracts with air concentrations of lead in the highest quartile had significantly higher ASD prevalence than tracts with lead concentrations in the lowest quartile (prevalence ratio (PR) = 1.36; 95 '% CI: 1.18, 1.57). In addition, tracts with mercury concentrations above the 75th percentile (>1.7 ng/m(3)) and arsenic concentrations below the 75th percentile (≤0.13 ng/m(3)) had a significantly higher ASD prevalence (adjusted RR = 1.20; 95 % CI: 1.03, 1.40) compared to tracts with arsenic, lead, and mercury concentrations below the 75th percentile. Our results suggest a possible association between ambient lead concentrations and ASD prevalence and demonstrate that exposure to multiple metals may have synergistic effects on ASD prevalence.

Indexed as

Air PollutantsArsenicAutism Spectrum DisorderChildChild, PreschoolConfounding Factors, EpidemiologicEnvironmental MonitoringHumansLeadMaleMercuryPrevalenceUnited StatesUnited States Environmental Protection AgencyAir PollutantsArsenicLeadMercuryAir qualityAutism spectrum disorderEnvironmentMetalsPollution

Identifiers

PMID27301968
OpenAlexW2431893103

What OpenQuestion holds

Textmetadata
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.