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DOI10.1016/j.atmosenv.2019.117169
Estimating the attributable burden of preterm birth and low birth weight due to maternal ozone exposure in nine Chinese cities
Yang Y.; Liang Z.; Ruan Z.; Zhang S.; Zhao Q.; Lin H.
发表日期2020
ISSN1352-2310
卷号222
英文摘要Background: Maternal exposure to various air pollutants is one crucial contributor to adverse birth outcomes, however, the effects of ozone (O3) exposure have remained largely unknown, especially attributable burden in different exposure windows. Methods: We performed a birth cohort study in nine Chinese cities in Guangdong Province during 2014–2017. The mothers were included in this study at their first time hospital visits for pregnancy in the nine cities, and followed up till the delivery. Air pollution exposure of each participant was estimated using the daily data from air monitoring stations in the mother's residential district. The status of low birth weight (LBW) and preterm birth (PTB) was ascertained based on standard criteria and collected from the electronic medical record. We applied a Cox regression model to estimate the associations and the attributable burden. Results: Among the 1,455,026 mother-and-live-birth pairs, 64,028 (4.40%) were PTB, and 57,618 (3.96%) were LBW. After adjustment for potential confounders, the hazard ratios for each 10 μg/m3 increase in O3 concentrations during trimester 1, trimester 2, one week prior and four weeks prior were 1.025 (95% CI: 1.020, 1.030), 1.033 (95% CI: 1.028, 1.039), 1.013 (95% CI: 1.010, 1.017) and 1.016 (95% CI: 1.011, 1.020) for PTB, 1.035 (95% CI: 1.030, 1.040), 1.035 (95% CI: 1.029, 1.041), 1.013 (95% CI: 1.009, 1.017) and 1.016 (95% CI: 1.012, 1.021) for LBW, respectively. The estimated attributable fractions at one week prior to delivery were 0.86% (95% CI: 0.39%, 9.26%) of PTB and 0.87% (95% CI: 0.60%, 1.14%) of LBW. Conclusions: This study indicates that maternal exposure to O3 might lead to increased risk of PTB and LBW, and is responsible for non-negligible burden of PTB and LBW in the study region. © 2019 Elsevier Ltd
关键词Air pollutionBirth cohortLow birth weightOzonePreterm birth
语种英语
scopus关键词Medical computing; Ozone; Regression analysis; Air monitoring stations; Air pollution exposures; Attributable fraction; Birth cohort; Electronic medical record; Low birth weights; Preterm birth; Residential districts; Air pollution; nitrogen dioxide; ozone; sulfur dioxide; atmospheric pollution; birth rate; cohort analysis; concentration (composition); numerical model; ozone; pollution exposure; regression analysis; adult; air monitoring; air pollution; air quality; China; cohort analysis; female; human; humidity; low birth weight; major clinical study; male; maternal age; maternal exposure; obstetric delivery; particulate matter; pregnancy outcome; premature labor; priority journal; temperature; China; Guangdong
来源期刊ATMOSPHERIC ENVIRONMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/249461
作者单位Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China; Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics, Family Planning Research Institute of Guangdong Province, Guangzhou, China; Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics (National Health and Family Planning Commission), Family Planning Special Hospital of Guangdong Province, Guangzhou, China
推荐引用方式
GB/T 7714
Yang Y.,Liang Z.,Ruan Z.,et al. Estimating the attributable burden of preterm birth and low birth weight due to maternal ozone exposure in nine Chinese cities[J],2020,222.
APA Yang Y.,Liang Z.,Ruan Z.,Zhang S.,Zhao Q.,&Lin H..(2020).Estimating the attributable burden of preterm birth and low birth weight due to maternal ozone exposure in nine Chinese cities.ATMOSPHERIC ENVIRONMENT,222.
MLA Yang Y.,et al."Estimating the attributable burden of preterm birth and low birth weight due to maternal ozone exposure in nine Chinese cities".ATMOSPHERIC ENVIRONMENT 222(2020).
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