Evidence map›Paper›PMID 31386644›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

Associations Between Ambient Air Pollutant Concentrations and Birth Weight: A Quantile Regression Analysis.

Matthew J Strickland, Ying Lin, Lyndsey A Darrow, Joshua L Warren, James A Mulholland, Howard H Chang

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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. Multi-Tree Model for Precision Environmental Health with Longitudinally Assessed Mixture Exposure.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
    Article
  2. Article
  3. Association of PMPaediatric and perinatal epidemiology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Treed distributed lag nonlinear models.Biostatistics (Oxford, England) · 2022
    Article
  8. Associations between Vehicle Exhaust Particles and Ozone at Home Address and Birth Weight.International journal of environmental research and public health · 2020
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Matthew J StricklandFrom the School of Community Health Sciences, University of Nevada-Reno, Reno, NV.
Ying LinDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
Lyndsey A DarrowFrom the School of Community Health Sciences, University of Nevada-Reno, Reno, NV.
Joshua L WarrenDepartment of Biostatistics, Yale University, New Haven, CT.
James A MulhollandDepartment of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA.
Howard H ChangDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

introductionWe investigated the extent to which associations of ambient air pollutant concentrations and birth weight varied across birth weight quantiles.

methodsWe analyzed singleton births ≥27 weeks of gestation from 20-county metropolitan Atlanta with conception dates between January 1, 2002 and February 28, 2006 (N = 273,711). Trimester-specific and total pregnancy average concentrations for 10 pollutants, obtained from ground observations that were interpolated using 12-km Community Multiscale Air Quality model outputs, were assigned using maternal residence at delivery. We estimated associations between interquartile range width (IQRw) increases in pollutant concentrations and changes in birth weight using quantile regression.

resultsGestational age-adjusted associations were of greater magnitude at higher percentiles of the birth weight distribution. Pollutants with large vehicle source contributions (carbon monoxide, nitrogen dioxide, PM2.5 elemental carbon, and total PM2.5 mass), as well as PM2.5 sulfate and PM2.5 ammonium, were associated with birth weight decreases for the higher birth weight percentiles. For example, whereas the decrease in mean birthweight per IQRw increase in PM2.5 averaged over pregnancy was -7.8 g (95% confidence interval = -13.6, -2.0 g), the quantile-specific associations were: 10th percentile -2.4 g (-11.5, 6.7 g); 50th percentile -8.9 g (-15.7, -2.0g); and 90th percentile -19.3 g (-30.6, -7.9 g). Associations for the intermediate and high birth weight quantiles were not sensitive to gestational age adjustment. For some pollutants, we saw associations at the lowest quantile (10th percentile) when not adjusting for gestational age.

conclusionsAssociations between air pollution and reduced birth weight were of greater magnitude for newborns at relatively heavy birth weights.

Indexed as

Birth WeightInfant, Low Birth WeightAir PollutantsAir PollutionFemaleGeorgiaHumansInfant, NewbornMaleMaternal ExposureParticulate MatterPregnancyRegression AnalysisUrban HealthAir PollutantsParticulate Matter

Identifiers

PMID31386644
PMCPMC6691899

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.