A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Maternal ambient air pollution exposure with spatial-temporal variations and preterm birth risk assessment during 2013–2017 in Zhejiang Province, China
Graphical abstract Display Omitted
Highlights Gestational exposure to air pollutants increases the preterm birth risk. SO2 exposures contribute most to the preterm birth risk. The first and third trimester exposures are most crucial for pregnant mothers. The thresholds for gestational exposure are much lower than national standards. Quasi-AQI and PCA-GLM are better to handle the collinearity of different pollutants.
Abstract Preterm birth (PTB) can give rise to significant neonatal morbidity and mortality, as well as children’s long-term health defects. Many studies have illustrated the associations between ambient air pollution exposure during gestational periods and PTB risks, but most of them only focused on one single air pollutant, such as PM2.5. In this population-based environmental-epidemiology study, we recruited 6275 pregnant mothers in Zhejiang Province, China, and evaluated their gestational exposures to various air pollutants during 2013–2017. Time-to-event logistic regressions were performed to estimate risk associations after adjusting all confounders, and Quasi-AQI model and PCA-GLM analysis were applied to resolve the collinearity issues in multi-pollutant regression models. It was found that gestational exposure to ambient air pollutants was significantly associated with the occurrence of PTB, and SO2 was the largest contributor with a proportion of 29.4%. Three new variables, prime factor (a combination of PM2.5, PM10, SO2, and NO2), carbon factor (CO), and ozone factor (O3), were generated by PCA integration, contributing 63.4%, 17.1%, and 19.5% to PTB risks, respectively. The first and third trimester was the most crucial exposure window, suggesting the pregnant mothers better to avoid severe air pollution exposures during these sensitive periods.
Maternal ambient air pollution exposure with spatial-temporal variations and preterm birth risk assessment during 2013–2017 in Zhejiang Province, China
Graphical abstract Display Omitted
Highlights Gestational exposure to air pollutants increases the preterm birth risk. SO2 exposures contribute most to the preterm birth risk. The first and third trimester exposures are most crucial for pregnant mothers. The thresholds for gestational exposure are much lower than national standards. Quasi-AQI and PCA-GLM are better to handle the collinearity of different pollutants.
Abstract Preterm birth (PTB) can give rise to significant neonatal morbidity and mortality, as well as children’s long-term health defects. Many studies have illustrated the associations between ambient air pollution exposure during gestational periods and PTB risks, but most of them only focused on one single air pollutant, such as PM2.5. In this population-based environmental-epidemiology study, we recruited 6275 pregnant mothers in Zhejiang Province, China, and evaluated their gestational exposures to various air pollutants during 2013–2017. Time-to-event logistic regressions were performed to estimate risk associations after adjusting all confounders, and Quasi-AQI model and PCA-GLM analysis were applied to resolve the collinearity issues in multi-pollutant regression models. It was found that gestational exposure to ambient air pollutants was significantly associated with the occurrence of PTB, and SO2 was the largest contributor with a proportion of 29.4%. Three new variables, prime factor (a combination of PM2.5, PM10, SO2, and NO2), carbon factor (CO), and ozone factor (O3), were generated by PCA integration, contributing 63.4%, 17.1%, and 19.5% to PTB risks, respectively. The first and third trimester was the most crucial exposure window, suggesting the pregnant mothers better to avoid severe air pollution exposures during these sensitive periods.
Maternal ambient air pollution exposure with spatial-temporal variations and preterm birth risk assessment during 2013–2017 in Zhejiang Province, China
Sun, Zhe (author) / Yang, Liyang (author) / Bai, Xiaoxia (author) / Du, Wei (author) / Shen, Guofeng (author) / Fei, Jie (author) / Wang, Yonghui (author) / Chen, An (author) / Chen, Yuanchen (author) / Zhao, Meirong (author)
2019-10-02
Article (Journal)
Electronic Resource
English
Preterm birth , Ambient air pollution , Gestational exposure , Concentration-response relationship , Influencing factors , Collinearity issues , PTB , preterm birth , AQI , air quality index , PCA , principal component analysis , GLM , generalised linear model , PM , particulate matter , HBP , high blood pressure , OR , odds ratio , BMI , body mass index , LUR , land use regression , SD , standard deviation , IQR , inter-quartile range , CI , confidence interval , VOC , volatile organic compound , LOAEL , lowest observed adverse effect level
| DOAJ | 2018
Tianyi Pavilion, Zhejiang Province, China
British Library Online Contents | 2019
Alipay Office Towers, Zhejiang Province, China
British Library Online Contents | 2012
Ambient air pollutant PM10 and risk of preterm birth in Lanzhou, China
| Online Contents | 2015