Evidence map›Paper›PMID 38455927›Full record

ReviewFrontiers in epidemiology2023

Structural racism, air pollution and the association with adverse birth outcomes in the United States: the value of examining intergenerational associations.

Miatta A Buxton, Nancy L Fleischer, Annie Ro, Marie S O'Neill

Open access · diamondAbstract readReview
In one paragraph

Review in Frontiers in epidemiology, 2023. 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
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Miatta A BuxtonDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Nancy L FleischerDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Annie RoDepartment of Health, Society, and Behavior, Program in Public Health, University of California, Irvine, Irvine, CA, United States.
Marie S O'NeillDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · USUniversity of California, Irvine · US

Funding

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
Air Pollution, Inflammation and Preterm Birth: A Mechanistic Study in Mexico CityR01ES016932 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI O'NEILL, MARIE SYLVIA · 2008 to 2015
$2.2M
Structural Racism and Adverse Birth Outcomes in the US South: A Multigenerational Perspective (Diversity Supplement)R01MD016046 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLEISCHER, NANCY, RO, ANNIE EUN YOUNG · 2021 to 2023
$2.1M
Polycyclic aromatic hydrocarbons and birth outcomes in Mexico CityR01ES017022 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI O'NEILL, MARIE SYLVIA · 2009 to 2013
$1.3M
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES016932NIEHS NIH HHS R01 ES017022NIEHS NIH HHS T32 ES007062NIMHD NIH HHS R01 MD016046NIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

Structurally racist policies and practices of the past are likely to be a driving factor in current day differences in exposure to air pollution and may contribute to observed racial and ethnic disparities in adverse birth outcomes in the United States (U.S.). Non-Hispanic Black women in the U.S. experience poorer health outcomes during pregnancy and throughout the life course compared to non-Hispanic White women. This disparity holds even among non-Hispanic Black women with higher socioeconomic status. Reasons for this finding remain unclear, but long-term environmental exposure, either historical exposure or both historical and ongoing exposure, may contribute. Structural racism likely contributes to differences in social and environmental exposures by race in the U.S. context, and these differences can affect health and wellbeing across multiple generations. In this paper, we briefly review current knowledge and recommendations on the study of race and structural racism in environmental epidemiology, specifically focused on air pollution. We describe a conceptual framework and opportunities to use existing historical data from multiple sources to evaluate multi-generational influences of air pollution and structurally racist policies on birth and other relevant health outcomes. Increased analysis of this kind of data is critical for our understanding of structural racism's impact on multiple factors, including environmental exposures and adverse health outcomes, and identifying how past policies can have enduring legacies in shaping health and well-being in the present day. The intended purpose of this manuscript is to provide an overview of the widespread reach of structural racism, its potential association with health disparities and a comprehensive approach in environmental health research that may be required to study and address these problems in the U.S. The collaborative and methodological approaches we highlight have the potential to identify modifiable factors that can lead to effective interventions for health equity.

Indexed as

adverse birth outcomesair pollutionexisting data sourcesintergenerational associationsstructural racism

Identifiers

PMID38455927
PMCPMC10910959
OpenAlexW4381734950

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.