Evidence map›Paper›PMID 34999861›Full record

ArticleInternational journal of epidemiology2022

Hyper-localized measures of air pollution and risk of preterm birth in Oakland and San Jose, California.

Corinne A Riddell, Dana E Goin, Rachel Morello-Frosch, Joshua S Apte, M Maria Glymour, Jacqueline M Torres, Joan A Casey

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Systematic review and meta-analysis on the health effects of long-term exposure to ultrafine particles.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
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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

7 authors at 4 institutions in 1 country.

Corinne A RiddellDivision of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, USA.
Dana E GoinDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Program on Reproductive Health and the Environment, School of Medicine, University of California, San Francisco, San Francisco, USA.
Rachel Morello-FroschDepartment of Environmental Science, College of Natural Resources, Policy, & Management, University of California, Berkeley, Berkeley, USA.ORCID 0000-0003-1153-7287
Joshua S ApteDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, USA.
M Maria GlymourDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA.
Jacqueline M TorresDepartment of Epidemiology and Biostatistics, University of California, San Francisco, USA.
Joan A CaseyDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, NY, USA.ORCID 0000-0002-9809-4695
University of California, San Francisco · USUniversity of California, Berkeley · USBerkeley Public Health Division · USColumbia University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
The Illinois Kids Development Study ECHO Pregnancy and Pediatric CohortUH3OD023272 · OD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Andrea Aguiar, Susan L Schantz · 2018 to 2026
$18.6M
The Illinois Kids Development Study ECHO Pregnancy and Pediatric CohortUG3OD023272 · OD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SCHANTZ, SUSAN L · 2016 to 2024
$7.2M
The Impact of Unconventional Natural Gas Development on Maternal, Perinatal, and Childhood Health: an Electronic Health Record ApproachR00ES027023 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CASEY, JOAN A · 2019 to 2021
$747k
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R00 ES027023NIH HHS UG3 OD023272NIH HHS UH3 OD023272
6 · The paper itself

Abstract

backgroundUS preterm-birth rates are 1.6 times higher for Black mothers than for White mothers. Although traffic-related air pollution (TRAP) may increase the risk of preterm birth, evaluating its effect on preterm birth and disparities has been challenging because TRAP is often measured inaccurately. This study sought to estimate the effect of TRAP exposure, measured at the street level, on the prevalence of preterm birth by race/ethnicity.

methodsWe linked birth-registry data with TRAP measured at the street level for singleton births in sampled communities during 2013-2015 in Oakland and San Jose, California. Using logistic regression and marginal standardization, we estimated the effects of exposure to black carbon, nitrogen dioxide and ultrafine particles on preterm birth after confounder adjustment and stratification by race/ethnicity.

resultsThere were 8823 singleton births, of which 760 (8.6%) were preterm. Shifting black-carbon exposure from the 10th to the 90th percentile was associated with: 6.8%age point higher risk of preterm birth (95% confidence interval = 0.1 to 13.5) among Black women; 2.1%age point higher risk (95% confidence interval = -1.1 to 5.2) among Latinas; and inconclusive null findings among Asian and White women. For Latinas, there was evidence of a positive association between the other pollutants and risk of preterm birth, although effect sizes were attenuated in models that co-adjusted for other TRAP.

conclusionsExposure to TRAP, especially black carbon, may increase the risk of preterm birth for Latina and Black women but not for Asian and White women.

Indexed as

Air PollutantsAir PollutionPremature BirthCaliforniaFemaleHumansInfant, NewbornPregnancyPregnancy OutcomeAir PollutantsAir pollutionhealth disparitiespreterm birth

Identifiers

PMID34999861
PMCPMC8932296
OpenAlexW3164408306

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.