Effects of air pollution on neonatal prematurity in guangzhou of china: a time-series studyReport as inadecuate




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Environmental Health

, 10:2

First Online: 10 January 2011Received: 18 April 2010Accepted: 10 January 2011DOI: 10.1186-1476-069X-10-2

Cite this article as: Zhao, Q., Liang, Z., Tao, S. et al. Environ Health 2011 10: 2. doi:10.1186-1476-069X-10-2

Abstract

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-m 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-m 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-m 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.

AbbreviationsCIconfidence interval

DOWday of the week

GAMGeneralized Additive Model

GCVGeneralized cross-validation

HPAAhypothalamic-pituitary-adrenal axis

LMPlast menstrual period

NO2nitrogen dioxide

PM10particulate matter less than 10 μm in aerodynamic diameter

RRrelative risk

SDstandard deviation

SO2sulfur dioxide.

Electronic supplementary materialThe online version of this article doi:10.1186-1476-069X-10-2 contains supplementary material, which is available to authorized users.

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Author: Qingguo Zhao - Zhijiang Liang - Shijuan Tao - Juan Zhu - Yukai Du

Source: https://link.springer.com/







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