ArticleBiostatistics (Oxford, England)2015
Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study.
Article in Biostatistics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- A Simple Method to Establish Sufficiency and Stability in Meta-Analyses: With Application to Fine Particulate Matter Air Pollution and Preterm Birth.International journal of environmental research and public health · 2022Pooled it
- The association between fine particulate matter exposure during pregnancy and preterm birth: a meta-analysis.BMC pregnancy and childbirth · 2015Pooled it
- Gestational misalignment with fixed exposure windows: the potential dangers of zero-filling in distributed lag models.International journal of epidemiology · 2026Article
- The association between maternal multivitamin intake and premature birth.Scientific reports · 2026Article
- The Impact of Endocrine-Disrupting Chemicals on Embryonic Recurrent Implantation Failure: A Narrative Review.Journal of xenobiotics · 2026Review
- Associations between prenatal exposure to ambient air pollutants and preterm birth in the Atlanta African American maternal-child cohort.Environmental health : a global access science source · 2026Article
- Bayesian hierarchical time-varying distributed lag nonlinear model: applications in the short-term association between ambient temperature and daily confirmed cases of COVID-19.Journal of applied statistics · 2026Article
- Distributed lag interaction model with index modification.Biostatistics (Oxford, England) · 2025Article
- Air Pollution and Preterm Birth: A Scoping Review Focused on Preterm Birth Phenotype and Specific Lengths of Gestation.Children (Basel, Switzerland) · 2025Review
- The impact of extreme air pollution on preterm birth in twin pregnancies: identifying susceptible exposure windows.Annals of medicine · 2025Article
- LOW-RANK LONGITUDINAL FACTOR REGRESSION WITH APPLICATION TO CHEMICAL MIXTURES.The annals of applied statistics · 2025Article
- Association between levothyroxine supplementation for hypothyroidism in late pregnancy and risk of prematurity: a population-based cohort study.BMC medicine · 2025Article
- Ambient exposure to fine particulate matter with oxidative potential affects oxidative stress biomarkers in pregnancy.American journal of epidemiology · 2025Article
- Distributed lag models for retrospective cohort data with application to a study of built environment and body weight.Biometrics · 2025Article
- Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability.Environmetrics · 2024Article
- Pregnancy exposure to PMEnvironment international · 2024Article
- Associations between weekly gestational exposure of fine particulate matter, ozone, and nitrogen dioxide and preterm birth in a North Carolina Birth Cohort, 2003-2015.Environmental epidemiology (Philadelphia, Pa.) · 2023Article
- Semiparametric distributed lag quantile regression for modeling time-dependent exposure mixtures.Biometrics · 2023Article
- Ambient air pollution and infant health: a narrative review.EBioMedicine · 2023Review
- CRITICAL WINDOW VARIABLE SELECTION FOR MIXTURES: ESTIMATING THE IMPACT OF MULTIPLE AIR POLLUTANTS ON STILLBIRTH.The annals of applied statistics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
In reproductive epidemiology, there is a growing interest to examine associations between air pollution exposure during pregnancy and the risk of preterm birth (PTB). One important research objective is to identify critical periods of exposure and estimate the associated effects at different stages of pregnancy. However, population studies have reported inconsistent findings. This may be due to limitations from the standard analytic approach of treating PTB as a binary outcome without considering time-varying exposures together over the course of pregnancy. To address this research gap, we present a Bayesian hierarchical model for conducting a comprehensive examination of gestational air pollution exposure by estimating the joint effects of weekly exposures during different vulnerable periods. Our model also treats PTB as a time-to-event outcome to address the challenge of different exposure lengths among ongoing pregnancies. The proposed model is applied to a dataset of geocoded birth records in the Atlanta metropolitan area between 1999-2005 to examine the risk of PTB associated with gestational exposure to ambient fine particulate matter [Formula: see text]m in aerodynamic diameter (PM[Formula: see text]). We find positive associations between PM[Formula: see text] exposure during early and mid-pregnancy, and evidence that associations are stronger for PTBs occurring around week 30.
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Registered trials
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.