Evidence map›Paper›PMID 29796613›Full record

ArticleAmerican journal of epidemiology2018

Retirements of Coal and Oil Power Plants in California: Association With Reduced Preterm Birth Among Populations Nearby.

Joan A Casey, Deborah Karasek, Elizabeth L Ogburn, Dana E Goin, Kristina Dang, Paula A Braveman, Rachel Morello-Frosch

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
5.4field-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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 95 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Joan A CaseyDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California.
Deborah KarasekPreterm Birth Initiative, University of California, San Francisco, San Francisco, California.
Elizabeth L OgburnDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Dana E GoinDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California.
Kristina DangDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
Paula A BravemanCenter on Social Disparities in Health, Department of Family and Community Medicine, University of California, San Francisco, San Francisco, California.
Rachel Morello-FroschDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California.
University of California, Berkeley · USUniversity of California, San Francisco · USJohns Hopkins University · US

Funding

Transdisciplinary Approach to Rapidly Identify Reproductive Toxics in Pregnant Women and NewbornsR01ES027051 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Dimitri Abrahamsson, Tracey J. Woodruff · 2016 to 2026
$6.6M
Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
The UCSF Pregnancy Exposures to Environmental Chemicals (PEEC) Children's CenterP01ES022841 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MORELLO-FROSCH, RACHEL ADELE · 2013 to 2018
$3.9M
The impact of unconventional natural gas development on maternal, perinatal, and childhood health: An electronic health record approachK99ES027023 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CASEY, JOAN A · 2017 to 2018
$203k
NIEHS NIH HHS K99 ES027023NIEHS NIH HHS P01 ES022841NIEHS NIH HHS R01 ES027051
6 · The paper itself

Abstract

Coal and oil power plant retirements reduce air pollution nearby, but few studies have leveraged these natural experiments for public health research. We used California Department of Public Health birth records and US Energy Information Administration data from 2001-2011 to evaluate the relationship between the retirements of 8 coal and oil power plants and nearby preterm (gestational age of <37 weeks) birth. We conducted a difference-in-differences analysis using adjusted linear mixed models that included 57,005 births-6.3% of which were preterm-to compare the probability of preterm birth before and after power plant retirement among mothers residing within 0-5 km and 5-10 km of the 8 power plants. We found that power plant retirements were associated with a decrease in the proportion of preterm birth within 5 km (-0.019, 95% CI: -0.031, -0.008) and 5-10 km (-0.015, 95% CI: -0.024, -0.007), controlling for secular trends with mothers living 10-20 km away. For the 0-5-km area, this corresponds to a reduction in preterm birth from 7.0% to 5.1%. Subgroup analyses indicated a potentially larger association among non-Hispanic black and Asian mothers than among non-Hispanic white and Hispanic mothers and no differences in educational attainment. Future coal and oil power plant retirements may reduce preterm birth among nearby populations.

Indexed as

CoalPetroleumPower PlantsPublic HealthAir PollutionCaliforniaFemaleGestational AgeHumansInfant, NewbornPregnancyPremature BirthCoalPetroleum

Identifiers

PMID29796613
PMCPMC6070091
OpenAlexW2803126279

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.