Evidence map›Paper›PMID 30579990›Full record

ArticleEnvironmental research2019

Prenatal exposure to air pollution, maternal diabetes and preterm birth.

Amy M Padula, Wei Yang, Fredrick W Lurmann, John Balmes, S Katharine Hammond, Gary M Shaw

Abstract read
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
4.5field-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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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  17. Recurrent preterm birth risk assessment for two delivery subtypes: A multivariable analysis.Journal of the American Medical Informatics Association : JAMIA · 2022
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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

6 authors at 4 institutions in 1 country.

Amy M PadulaDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA. Electronic address: amy.padula@ucsf.edu.
Wei YangDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Fredrick W LurmannSonoma Technology, Inc., Petaluma, CA, USA.
John BalmesDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
S Katharine HammondDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Gary M ShawDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Stanford University · USUniversity of California, Berkeley · USSonoma Technology (United States) · USUniversity of California, San Francisco · US

Funding

UC Berkeley/Stanford Children's Enviromental Health CenterP01ES022849 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BALMES, JOHN R · 2013 to 2018
$4.2M
CHAPS Cohort MaintenanceR24ES030888 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BALMES, JOHN R, HOLLAND, NINA T · 2020 to 2025
$1.9M
Project 3: Ambient Pollutants/Bioaerosol Effects on Treg FunctionP20ES018173 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAGER, IRA B · 2010 to 2012
$895k
Traffic-related Air Pollution, Social Factors and Adverse Birth OutcomesR00ES021470 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PADULA, AMY MICHELLE · 2016 to 2018
$746k
Influence of Genetics and Air Pollution Exposures on Birth OutcomesR21ES014891 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MORTIMER, KATHLEEN MCNIFF · 2007 to 2008
$338k
Traffic-related air pollution, social factors and adverse birth outcomesK99ES021470 · NIEHS · STANFORD UNIVERSITY · PI PADULA, AMY MICHELLE · 2013 to 2014
$254k
NIEHS NIH HHS K99 ES021470NIEHS NIH HHS P01 ES022849NIEHS NIH HHS P20 ES018173NIEHS NIH HHS R00 ES021470NIEHS NIH HHS R21 ES014891NIEHS NIH HHS R24 ES030888
6 · The paper itself

Abstract

Prenatal exposure to ambient air pollution has been associated with preterm birth in several studies. Associations between air pollution and gestational or pre-existing diabetes have been hypothesized but are not well established. We examined the association between air pollution exposure in pregnancy and gestational diabetes and whether the association between air pollution and preterm birth is modified by diabetes (gestational or pre-existing) in a highly polluted area of California. Birth certificates and hospital discharge data from all singleton births from 2000 to 2006 to women living in four counties in the San Joaquin Valley of California were linked to criteria air pollution and traffic density measurements at the geocoded maternal residence. Air pollutants were dichotomized at the highest quartile and compared to the lower three quartiles. Logistic regression models were adjusted for maternal race-ethnicity, age, education, payment of birth expenses, and prenatal care. There were consistent inverse associations between exposure to air pollution during the first two trimesters and gestational diabetes (statistically significant odds ratios (OR) less than 1). When stratified by any diabetes (gestational or pre-existing), associations between air pollution exposure during pregnancy and categories of preterm birth (20-27, 28-31, 32-33, 34-36 weeks) were generally similar with few exceptions of exposures to carbon monoxide (CO) and particulate matter < 2.5 µm (PM

Indexed as

Air PollutantsAir PollutionCaliforniaCesarean SectionDiabetes MellitusFemaleHumansInfant, NewbornMaternal ExposureParticulate MatterPregnancyPremature BirthPrenatal Exposure Delayed EffectsAir PollutantsParticulate MatterAir pollutionDiabetesPregnancyPreterm birth

Identifiers

PMID30579990
PMCPMC6373725
OpenAlexW2905239949

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.