scholarly journals The Association between Preterm Birth and Ambient Air Pollution Exposure in Shiyan, China, 2015–2017

Author(s):  
Qihao Chen ◽  
Zhan Ren ◽  
Yujie Liu ◽  
Yunfei Qiu ◽  
Haomin Yang ◽  
...  

Shortening of the gestational duration has been found associated with ambient air pollution exposure. However, the critical exposure windows of ambient air pollution for gestational duration remain inconsistent, and the association between ambient air pollution and early term births (ETB, 37 to 38 weeks) has rarely been studied relative to preterm births (PTB, 28–37 weeks). A time-series study was conducted in Shiyan, a medium-sized city in China. Birth information was collected from the Shiyan Maternity and Child Health Hospital, and 13,111 pregnant women who gave birth between 2015 and 2017 were included. Data of the concentrations of air pollutants, including PM10, PM2.5, NO2, and SO2 and meteorological data, were collected in the corresponding gestational period. The Cox regression analysis was performed to estimate the relationship between ambient air pollution exposure and the risk of preterm birth after controlling the confounders, including maternal age, education, Gravidity, parity, fetal gender, and delivery mode. Very preterm birth (VPTB, 28–32 weeks) as a subtype of PTB was also incorporated in this study. The risk of VPTB and ETB was positively associated with maternal ambient air pollution exposure, and the correlation of gaseous pollutants was stronger than particulate matter. With respect to exposure windows, the critical trimester of air pollutants for different adverse pregnancy outcomes was different. The exposure windows of PM10, PM2.5, and SO2 for ETB were found in the third trimester, with HRs (hazard ratios) of 1.06 (95%CI: 1.04, 1.09), 1.07 (95%CI: 1.04, 1.11), and 1.28 (95%CI: 1.20, 1.35), respectively. However, for NO2, the second and third trimesters exhibited similar results, the HRs reaching 1.10 (95%CI: 1.03, 6.17) and 1.09 (95%CI: 1.03,1.15), respectively. This study extends and strengthen the evidence for a significant correlation between the ambient air pollution exposure during pregnancy and the risk of not only PTB but, also, ETB. Moreover, our findings suggest that the exposure windows during pregnancy vary with different air pollutants and pregnancy outcomes.

2021 ◽  
pp. 55-57
Author(s):  
Vengada Krishnaraj S. P ◽  
Roshan Kumar. M ◽  
Vinod Kumar. V

BACKGROUND: Air pollution is an important environmental risk factor for human health. Evidence is mounting that ambient air pollution exposure is signicantly associated with respiratory diseases. Ambient air pollution, such as nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matter (PM), is associated with mortality and morbidity induced by respiratory diseases. The relationship between air pollutants and respiratory hospital admissions has been reported both in developed countries and in developing countries. Other studies have shown an adverse effect of ambient air pollution exposure on morbidity and mortality, as well as on healthcare costs. AIM OF THE STUDY: To investigate the association between ambient air pollutant exposure and daily hospital admissions for respiratory diseases in both childrens and Adults. METHODOLOGY: The daily emergency hospital admissions for respiratory conditions in the north part of Chennai during 2019- 2020 were recorded. Daily counts of hospital admissions for total respiratory conditions (43 admissions day(-1)), acute respiratory infections including pneumonia (18 day(-1)), chronic obstructive pulmonary disease (COPD) (13 day(-1)), and asthma (4.5 day(-1)) among residents of all ages and among children (0-14 yrs) were analysed. The generalized additive models included spline smooth functions of the day of study, mean temperature, mean humidity, inuenza epidemics, and indicator variables for days of the week and holidays. Total respiratory admissions were signicantly associated with the same-day level of NO2 (2.5% increase per interquartile range (IQR) change, 22.3 microg x m(-3)) and CO (2.8% increase per IQR, 1.5 mg x m(-3)). RESULTS: The daily mean concentrations of pollutants across all studies were 65.2 µg/m3 for PM10, 45.8 µg/m3 for PM2.5, 27.7 µg/m3 for SO2, 35.0 µg/m3 forNO2and1698µg/m3for CO, and 81.1µg/m3for O3. For the single variable models, the linear effect of PM10, PM2.5, and PM1 was evaluated by adjusting for the inuence of temperature. The association between hospital admissions for respiratory disease and the level of particulate matter was statistically signicant at 0-3 daylag in females and overall. In males, no statistically signicant effect was found at lag 3 for PM10 or at lag2-3 for PM2.5 and PM1.The associations between PM2.5 and PM1, and risk of admission were no longer signicant at some lags after adjusting for NO2, SO2, CO, and O3 separately. No associations were found at lag 3 after adjusting for NO2 or at lag 2 and 3 after adjusting for O3. The effects of PM2.5 and PM1 were not changed after adjusting for CO but were weaker after adjusting for other air pollutants (NO2, SO2,and O3). CONCLUSION: The ndings of this study demonstrated that O3 was associated with an increased risk of respiratory-related admissions, especially for children <5years old. The effect was stronger in the winter than in the summer with each increase of 10 µg/m3 of O3 in winter, the risk of admissions for respiratory diseases after 5 days of exposure increased by 6.2% (95% CI3.7% - 8.8%). No signicant association between O3 and hospital admissions for wheeze-associated disorders specically was observed in children.


2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Qiong Wang ◽  
Tarik Benmarhnia ◽  
Changchang Li ◽  
Luke Knibbs ◽  
Huanhuan Zhang ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoli Huang ◽  
Jichang Chen ◽  
Dingyuan Zeng ◽  
Zhong Lin ◽  
Carly Herbert ◽  
...  

Abstract Background Studies suggest that exposure to ambient air pollution during pregnancy may be associated with increased risks of birth defects (BDs), but conclusions have been inconsistent. This study describes the ethnic distribution of major BDs and examines the relationship between air pollution and BDs among different ethnic groups in Liuzhou city, China. Methods Surveillance data of infants born in 114 registered hospitals in Liuzhou in 2019 were analyzed to determine the epidemiology of BDs across five major ethnic groups. Concentrations of six air pollutants (PM2.5, PM10, SO2, CO, NO2, O3) were obtained from the Liuzhou Environmental Protection Bureau. Logistic regression was used to examine the associations between ambient air pollution exposure and risk of BDs. Results Among 32,549 infants, 635 infants had BDs, yielding a prevalence of 19.5 per 1000 perinatal infants. Dong ethnic group had the highest prevalence of BDs (2.59%), followed by Yao (2.57%), Miao (2.35%), Zhuang (2.07%), and Han (1.75%). Relative to the Han ethnic group, infants from Zhuang, Miao, Yao and Dong groups had lower risks of congenital heart disease, polydactyly, and hypospadias. The Zhuang ethnic group had higher risks of severe thalassemia, cleft lip and/or palate, and syndactyls. Overall BDs were positively correlated with air pollutants PM10 (aOR =1.14, 95% CI:1.12 ~ 2.43; aOR =1.51, 95% CI:1.13 ~ 2.03 for per 10μg/mg3 increment) and CO (aOR =1.36, 95% CI:1.14 ~ 2.48; aOR =1.75, 95% CI:1.02 ~ 3.61 for every 1 mg /m3 increment) in second and third month of pregnancy. SO2 was also significantly associated with BDs in the second month before the pregnancy (aOR = 1.31; 95% CI: 1.20 ~ 3.22) and third month of pregnancy (aOR =1.75; 95% CI:1.02 ~ 3.61). Congenital heart disease, polydactyl, cleft lip and/or palate were also significantly associated with PM10, SO2 and CO exposures. However, no significant association was found between birth defects and O3, PM2.5 and NO2 exposures (P > 0.05). Conclusion This study provides a comprehensive description of ethnic differences in BDs in Southwest China and broadens the evidence of the association between air pollution exposure during gestation and BDs.


Hypertension ◽  
2019 ◽  
Vol 74 (2) ◽  
pp. 384-390 ◽  
Author(s):  
Carrie J. Nobles ◽  
Andrew Williams ◽  
Marion Ouidir ◽  
Seth Sherman ◽  
Pauline Mendola

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