Tongjun Guo1, Yuanyuan Wang2, Hongguang Zhang3, Ya Zhang3, Jun Zhao1, Qiaomei Wang4, Haiping Shen4, Yan Wang3, Xiaoxu Xie1, Long Wang1, Zongyu Xu4, Yiping Zhang4, Donghai Yan4, Yuan He1, Ying Yang1, Jihong Xu3, Zuoqi Peng3, Xu Ma5. 1. National Research Institute for Family Planning, China; Graduate School of Peking Union Medical College, China. 2. National Research Institute for Family Planning, China; Graduate School of Peking Union Medical College, China; Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, China. 3. National Research Institute for Family Planning, China. 4. Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, China. 5. National Research Institute for Family Planning, China; Graduate School of Peking Union Medical College, China; Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, China. Electronic address: NFPCC_ma@163.com.
Abstract
BACKGROUND: The relationship between PM2.5 exposure and preterm birth remains unclear. OBJECTIVES: To explore the effect of exposure to PM2.5 on preterm birth in China. METHODS: The birth outcomes of 426,246 pregnant women enrolled between January 2014 and December 2014 in NFPCP (National Free Pre-pregnancy Checkups Project) were collected, and their individual PM2.5 exposure values were estimated from the China National Environmental Monitoring Centre. The time of gestational exposure to PM2.5 was divided into four periods (the first trimester, the second trimester, the third trimester and the entire pregnancy). The average concentration and the corresponding quartiles of PM2.5 were calculated in these periods by the daily average PM2.5 data. Cox proportional hazards regression was used and he effects of maternal age, education level, occupation, second-hand smoking, alcohol use, pre-pregnancy BMI, baby's sex, number of previous pregnancies, coastal areas and season of conception were adjusted for. RESULTS: A total of 426,246 singleton births were included, among which 35,261 (8.3%) were preterm birth. Effect of each 10μg/m3 increase of PM2.5 on preterm birth was most significant during the third trimester (HR, 1.06; 95%CI, 1.06-1.07), and also significant during the first trimester (HR, 1.04; 95%CI, 1.03-1.04), the second trimester (HR, 1.02; 95%CI, 1.02-1.02) and the entire pregnancy (HR, 1.06; 95%CI, 1.05-1.06). Compared with the lowest quartile of PM2.5, other quartiles increased the risk of preterm birth, and were most significant during the third trimester (HR, 1.87; 95%CI, 1.69-2.06). Subgroup analysis showed that compared with other subgroups, women who were older than 30years, had low education level, worked as farmers, had male baby, had previous pregnancies, not live in coastal areas and pregnant in winter were more sensitive to PM2.5 exposure. CONCLUSIONS: Ambient PM2.5 exposure during pregnancy played an important role in the pregnancy process and increased the risk of preterm birth.
BACKGROUND: The relationship between PM2.5 exposure and preterm birth remains unclear. OBJECTIVES: To explore the effect of exposure to PM2.5 on preterm birth in China. METHODS: The birth outcomes of 426,246 pregnant women enrolled between January 2014 and December 2014 in NFPCP (National Free Pre-pregnancy Checkups Project) were collected, and their individual PM2.5 exposure values were estimated from the China National Environmental Monitoring Centre. The time of gestational exposure to PM2.5 was divided into four periods (the first trimester, the second trimester, the third trimester and the entire pregnancy). The average concentration and the corresponding quartiles of PM2.5 were calculated in these periods by the daily average PM2.5 data. Cox proportional hazards regression was used and he effects of maternal age, education level, occupation, second-hand smoking, alcohol use, pre-pregnancy BMI, baby's sex, number of previous pregnancies, coastal areas and season of conception were adjusted for. RESULTS: A total of 426,246 singleton births were included, among which 35,261 (8.3%) were preterm birth. Effect of each 10μg/m3 increase of PM2.5 on preterm birth was most significant during the third trimester (HR, 1.06; 95%CI, 1.06-1.07), and also significant during the first trimester (HR, 1.04; 95%CI, 1.03-1.04), the second trimester (HR, 1.02; 95%CI, 1.02-1.02) and the entire pregnancy (HR, 1.06; 95%CI, 1.05-1.06). Compared with the lowest quartile of PM2.5, other quartiles increased the risk of preterm birth, and were most significant during the third trimester (HR, 1.87; 95%CI, 1.69-2.06). Subgroup analysis showed that compared with other subgroups, women who were older than 30years, had low education level, worked as farmers, had male baby, had previous pregnancies, not live in coastal areas and pregnant in winter were more sensitive to PM2.5 exposure. CONCLUSIONS: Ambient PM2.5 exposure during pregnancy played an important role in the pregnancy process and increased the risk of preterm birth.
Authors: Qihao Chen; Zhan Ren; Yujie Liu; Yunfei Qiu; Haomin Yang; Yuren Zhou; Xiaodie Wang; Kuizhuang Jiao; Jingling Liao; Lu Ma Journal: Int J Environ Res Public Health Date: 2021-04-19 Impact factor: 3.390
Authors: Valentin Simoncic; Christophe Enaux; Séverine Deguen; Wahida Kihal-Talantikite Journal: Int J Environ Res Public Health Date: 2020-11-03 Impact factor: 3.390