Evidence map›Paper›PMID 29925380›Full record

ArticleEnvironmental health : a global access science source2018

Associations between mixtures of urinary phthalate metabolites with gestational age at delivery: a time to event analysis using summative phthalate risk scores.

Jonathan Boss, Jingyi Zhai, Max T Aung, Kelly K Ferguson, Lauren E Johns, Thomas F McElrath, John D Meeker, Bhramar Mukherjee

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Mediation with External Summary Statistic Information.Biostatistics (Oxford, England) · 2025
    Article
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  12. Role of epidemiology in risk assessment: a case study of five ortho-phthalates.Environmental health : a global access science source · 2021
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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  20. Review
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

8 authors.

Jonathan BossDepartment of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Jingyi ZhaiDepartment of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Max T AungDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Kelly K FergusonEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, USA.
Lauren E JohnsDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Thomas F McElrathDivision of Maternal and Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA. bhramar@umich.edu.

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI ALSHAWABKEH, AKRAM N · 2010 to 2024
$38.6M
University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Untargeted Analysis ResourceU2CES026553 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D. · 2015 to 2015
$9.5M
LIFECODES pregnancy cohortZIAES103321 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FERGUSON, KELLY · 2016 to 2025
$6.1M
Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PADMANABHAN, VASANTHA, PETERSON, KAREN EILEEN · 2013 to 2018
$3.9M
Toxicogenomics-based Mechanistic Multimedia Exposure Assessment and Child DevelopmentP50ES026049 · NIEHS · NORTHEASTERN UNIVERSITY · PI GU, APRIL Z · 2015 to 2018
$3.6M
Bisphenol A and Phthalate Exposure in Relation to Fetal Growth and Preterm BirthR01ES018872 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D. · 2010 to 2014
$2.6M
National Institute of Environmental Health Sciences (US) P01ES022844National Institute of Environmental Health Sciences (US) P30ES017885National Institute of Environmental Health Sciences (US) P42ES017198National Institute of Environmental Health Sciences (US) P50ES026049National Institute of Environmental Health Sciences (US) U2CES026553NIEHS NIH HHS P01 ES022844NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES017198NIEHS NIH HHS P50 ES026049NIEHS NIH HHS R01 ES018872NIEHS NIH HHS R01ES018872NIEHS NIH HHS U2C ES026553NIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

backgroundPreterm birth is a significant public health concern and exposure to phthalates has been shown to be associated with an increased odds of preterm birth. Even modest reductions in gestational age at delivery could entail morbid consequences for the neonate and analyzing data with this additional information may be useful. In the present analysis, we consider gestational age at delivery as our outcome of interest and examine associations with multiple phthalates.

methodsWomen were recruited early in pregnancy as part of a prospective, longitudinal birth cohort at the Brigham and Women's Hospital in Boston, Massachusetts. Urine samples were collected at up to four time points during gestation for urinary phthalate metabolite measurement, and birth outcomes were recorded at delivery. From this population, we selected all 130 cases of preterm birth (< 37 weeks of gestation) as well as 352 random controls. We conducted analysis with both geometric average of the exposure concentrations across the first three visits as well as using repeated measures of the exposure. Two different time to event models were used to examine associations between nine urinary phthalate metabolite concentrations and time to delivery. Two different approaches to constructing a summative phthalate risk score were also considered.

resultsThe single-pollutant analysis using a Cox proportional hazards model showed the strongest association with a hazard ratio (HR) of 1.21 (95% confidence interval (CI): 1.09, 1.33) per interquartile range (IQR) change in average log-transformed mono-2-ethyl-5-carboxypentyl phthalate (MECPP) concentration. Using the accelerated failure time model, we observed a 1.19% (95% CI: 0.26, 2.11%) decrease in gestational age in association with an IQR change in average log-transformed MECPP. We next examined associations with an environmental risk score (ERS). The fourth quartile of ERS was significantly associated with a HR of 1.44 (95% CI: 1.19, 1.75) and a reduction of 2.55% (95% CI: 0.76, 4.30%) in time to delivery (in days) compared to the first quartile.

conclusionsOn average, pregnant women with higher urinary metabolite concentrations of individual phthalates have shorter time to delivery. The strength of the observed associations are amplified with the risk scores when compared to individual pollutants.

Indexed as

Gestational AgeAdolescentAdultBostonEnvironmental PollutantsFemaleHumansLongitudinal StudiesMiddle AgedPhthalic AcidsPregnancyYoung AdultEnvironmental PollutantsPhthalic AcidsEnvironmental risk scoreHazard ratioMixturesPhthalatePregnancyTime to delivery

Identifiers

PMID29925380
PMCPMC6011420

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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.