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DOI10.1186/s12940-018-0400-3
Associations between mixtures of urinary phthalate metabolites with gestational age at delivery: a time to event analysis using summative phthalate risk scores
Boss, Jonathan1; Zhai, Jingyi1; Aung, Max T.2; Ferguson, Kelly K.3; Johns, Lauren E.2; McElrath, Thomas F.4; Meeker, John D.2; Mukherjee, Bhramar1,5
发表日期2018-06-20
ISSN1476-069X
卷号17
英文摘要

Background: Preterm 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.


Methods: Women 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.


Results: The 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.


Conclusions: On 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.


英文关键词Hazard ratio;Phthalate;Pregnancy;Environmental risk score;Time to delivery;Mixtures
语种英语
WOS记录号WOS:000435925200001
来源期刊ENVIRONMENTAL HEALTH
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/59432
作者单位1.Univ Michigan, Sch Publ Hlth, Dept Biostat, 1415 Washington Hts, Ann Arbor, MI 48109 USA;
2.Univ Michigan, Sch Publ Hlth, Dept Environm Hlth Sci, Ann Arbor, MI 48109 USA;
3.Natl Inst Environm Hlth Sci, Epidemiol Branch, Durham, NC USA;
4.Harvard Med Sch, Brigham & Womens Hosp, Div Maternal & Fetal Med, Boston, MA USA;
5.Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA
推荐引用方式
GB/T 7714
Boss, Jonathan,Zhai, Jingyi,Aung, Max T.,et al. Associations between mixtures of urinary phthalate metabolites with gestational age at delivery: a time to event analysis using summative phthalate risk scores[J]. 美国环保署,2018,17.
APA Boss, Jonathan.,Zhai, Jingyi.,Aung, Max T..,Ferguson, Kelly K..,Johns, Lauren E..,...&Mukherjee, Bhramar.(2018).Associations between mixtures of urinary phthalate metabolites with gestational age at delivery: a time to event analysis using summative phthalate risk scores.ENVIRONMENTAL HEALTH,17.
MLA Boss, Jonathan,et al."Associations between mixtures of urinary phthalate metabolites with gestational age at delivery: a time to event analysis using summative phthalate risk scores".ENVIRONMENTAL HEALTH 17(2018).
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