Effects of air pollution on neonatal prematurity in guangzhou of china: a time-series study

Environmental Health

Research

Yukai Du¹  Qingguo Zhao²  Shijuan Tao³  Zhijiang Liang³  Juan Zhu³ 

[1] College of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, P.R. China;College of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, P.R. China;Guangdong Women and Children Health Hospital, 510010, Guangzhou, Guangdong, P.R. China;Guangdong Women and Children Health Hospital, 510010, Guangzhou, Guangdong, P.R. China;

关键词: Preterm Birth;    Generalize Additive Model;    Premature Birth;    Generalize Additive Model Model;    Smooth Spline Function;   

DOI  :  10.1186/1476-069X-10-2

 received in 2010-04-18, accepted in 2011-01-10,  发布年份 2011

来源: Springer

【 摘 要 】

BackgroundOver the last decade, a few studies have investigated the possible adverse effects of ambient air pollution on preterm birth. However, the correlation between them still remains unclear, due to insufficient evidences.MethodsThe correlation between air pollution and preterm birth in Guangzhou city was examined by using the Generalized Additive Model (GAM) extended Poisson regression model in which we controlled the confounding factors such as meteorological factors, time trends, weather and day of the week (DOW). We also adjusted the co linearity of air pollutants by using Principal Component Analysis. The meteorological data and air pollution data were obtained from the Meteorological Bureau and the Environmental Monitoring Centre, while the medical records of newborns were collected from the perinatal health database of all obstetric institutions in Guangzhou, China in 2007.ResultsIn 2007, the average daily concentrations of NO2, PM10 and SO2 in Guangzhou, were 61.04, 82.51 and 51.67 μg/m3 respectively, where each day an average of 21.47 preterm babies were delivered. Pearson correlation analysis suggested a negative correlation between the concentrations of NO2, PM10, SO2, and temperature as well as relative humidity. As for the time-series GAM analysis, the results of single air pollutant model suggested that the cumulative effects of NO2, PM10 and SO2 reached its peak on day 3, day 4 and day 3 respectively. An increase of 100 μg/m3 of air pollutants corresponded to relative risks (RRs) of 1.0542 (95%CI: 1.0080 ~1.1003), 1.0688 (95%CI: 1.0074 ~1.1301) and 1.1298 (95%CI: 1.0480 ~1.2116) respectively. After adjusting co linearity by using the Principal Component Analysis, the GAM model of the three air pollutants suggested that an increase of 100 μg/m3 of air pollutants corresponded to RRs of 1.0185 (95%CI: 1.0056~1.0313), 1.0215 (95%CI: 1.0066 ~1.0365) and 1.0326 (95%CI: 1.0101 ~1.0552) on day 0; and RRs of the three air pollutants, at their strongest cumulative effects, were 1.0219 (95%CI: 1.0053~1.0386), 1.0274 (95%CI: 1.0066~1.0482) and 1.0388 (95%CI: 1.0096 ~1.0681) respectively.ConclusionsThis study indicates that the daily concentrations of air pollutants such as NO2, PM10 and SO2 have a positive correlation with the preterm births in Guangzhou, China.

【 授权许可】

CC BY   
© Zhao et al; licensee BioMed Central Ltd. 2011