Evidence map›Paper›PMID 37474644›Full record

ArticleJournal of exposure science & environmental epidemiology2024

Integrating NHANES and toxicity forecaster data to compare pesticide exposure and bioactivity by farmwork history and US citizenship.

Chanese A Forté, Jess A Millar, Justin A Colacino

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Chanese A FortéThe University of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, MI, USA.
Jess A MillarThe University of Michigan School of Public Health, Department of Epidemiology, Ann Arbor, MI, USA.ORCID 0000-0001-8945-3396
Justin A ColacinoThe University of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, MI, USA. colacino@umich.edu.
University of Michigan · US

Funding

University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
ENVIRONMENTAL TOXICOLOGY PRE/POST DOCTORAL RES.TRAININGT32ES007062 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 1985 to 2026
$10.5M
Diversity SupplementR01ES028802 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 2018 to 2026
$4.8M
DNA Methylation, Genetics, and Modifiable Risk Factors of Dementia in a Nationally Representative, Multi-Ethnic Cohort - Diversity SupplementR01AG067592 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAKULSKI, KELLY, WARE, ERIN BAKSHIS · 2020 to 2025
$3.8M
Risk of Alzheimer's Disease and Related Dementias from Perinatal Lead Exposure: Brain Region and Cell Type EffectsR01AG072396 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kelly Bakulski, Justin Adam Colacino · 2022 to 2026
$3.7M
NIA NIH HHS R01 AG067592NIA NIH HHS R01 AG072396NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES028802NIEHS NIH HHS T32 ES007062NIOSH CDC HHS T42 OH008455NSF DGE-1256260
6 · The paper itself

Abstract

backgroundFarmworkers in the United States, especially migrant workers, face unique barriers to healthcare and have documented disparities in health outcomes. Exposure to pesticides, especially those persistent in the environment, may contribute to these health disparities.

objectiveQuantify differences in pesticide exposure bioactivity by farmworker category and US citizenship status.

methodsWe queried the National Health and Nutrition Examination Study (NHANES) from 1999-2014 for pesticide exposure biomarker concentrations among farmworkers and non-farmworkers by citizenship status. We combined this with toxicity assay data from the US Environmental Protection Agency's (EPA's) Toxicity Forecaster (ToxCast). We estimated adverse biological effects that occur across a range of human population-relevant pesticide doses.

resultsIn total, there were 844 people with any farmwork history and 23,592 non-farmworkers. Of 12 commonly detectable pesticide biomarkers in NHANES, 2,4-dichlorophenoxyacetic acid (OR = 3.76, p = 1.33 × 10 IMPACT STATEMENT: Farmworkers are a vulnerable population due to social determinants of health and occupational exposures. Here, we integrate US population chemical biomonitoring data and toxicity outcome data to assess pesticide exposure by farmwork history and citizenship. We find that farmworkers and those without US citizenship are significantly more likely to be exposed to concentrations of pesticides which are bioactive in toxicological assays. Thus, farmworkers employed in the US but who are not citizens could be at increased risk of harm to their health due to pesticides. These findings are important to shape evidence-based policies in regulatory science to promote worker safety.

Indexed as

FarmersNutrition SurveysOccupational ExposurePesticides2,4-Dichlorophenoxyacetic AcidAdolescentAdultAgricultureBiomarkersEnvironmental ExposureFemaleHexachlorocyclohexaneHumansMaleMiddle AgedTransients and Migrants2,4-Dichlorophenoxyacetic Acidbeta-hexachlorocyclohexaneBiomarkersHexachlorocyclohexanePesticidesBioactivityEnvironmental healthFarmworkersOccupational healthPesticidesToxicology

Identifiers

PMID37474644
PMCPMC10799167
OpenAlexW4384923850

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.