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Association between ambient air pollutants and preterm birth in Ningbo, China: a time-series study

机译:宁波的环境空气污染物与早产之间的关联:时间序列研究

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Exposure to air pollutants has been related to preterm birth, but little evidence can be available for PM2.5, O3 and CO in China. This study aimed to investigate the short-term effect of exposure to air pollutants on risk preterm birth during 2014–2016 in Ningbo, China. We conducted a time-series study to evaluate the associations between daily preterm birth and major air pollutants (including PM2.5, PM10, SO2, NO2, O3 and CO) in Ningbo during 2014–2016. A General Additive Model extend Poisson regression was used to evaluate the relationship between preterm birth and air pollution with adjustment for time-trend, meteorological factors and day of the week (DOW). We also conducted a subgroup analysis by season and age. In this study, a total of 37,389 birth occurred between 2014 and 2016 from the Electronic Medical Records System of Ningbo Women and Children’s Hospital, of which 5428 were verified as preterm birth. The single pollutant model suggested that lag effect of PM2.5, PM10, NO2 reached a peak at day 3 before delivery and day 6 for SO2, and no relationships were observed for O3 and preterm birth. Excess risks (95% confidence intervals) for an increase of IQR of air pollutant concentrations were 4.84 (95% CI: 1.77, 8.00) for PM2.5, 3.56 (95% CI: 0.07, 7.17) for PM10, 3.65 (95% CI: 0.86, 6.51) for SO2, 6.49 (95% CI: 1.86, 11.34) for NO2, ??0.90 (95% CI: -4.76, 3.11) for O3, and 3.36 (95% CI: 0.50, 6.30) for CO. Sensitivity analyses by exclusion of maternal age 35?years did not materially alter our results. This study indicates that short-term exposure to air pollutants (including PM2.5, PM10, SO2, NO2) are positively associated with risk of preterm birth in Ningbo, China.
机译:暴露于空气污染物与早产有关,但在中国的PM2.5,O3和CO可以获得很少的证据。本研究旨在调查中国宁波宁波2014 - 2016年风险早产风险早产的短期效果。我们进行了一项时间序列研究,以评估2014 - 2016年在宁波的日常生出生和主要空气污染物(包括PM2.5,PM10,SO2,NO2,O3和CO)之间的关联。一般添加剂模型扩展泊松回归用于评估早产和空气污染之间的关系,调整时间趋势,气象因素和一周中的一天(Dow)。我们还通过季节和年龄进行了亚组分析。在这项研究中,2014年至2016年期间,来自宁波妇女和儿童医院的电子医疗制度之间的37,389次出生,其中5428年被验证为早产。单一的污染模型表明PM2.5,PM10,NO2的滞后效应在第3天达到峰值,然后在SO2的第6天达到峰值,并且没有观察到O3和早产的关系。对于PM2.5,3.56(95%CI:0.07,7.17)的PM2.5,3.65(95%,95%置信区间)的过度风险(95%置信区间)是4.84(95%CI:1.77,8.00),3.56(95%CI:0.07,7.17)(95% CI:0.86,6.51)用于NO2的SO2,6.49(95%CI:1.86,11.34),O3的0.90(95%CI:-4.76,3.11),3.36(95%CI:0.50,6.30) CO。通过排除产妇年龄35的敏感性分析?岁月没有重大改变我们的结果。该研究表明,短期暴露于空气污染物(包括PM2.5,PM10,SO2,NO2)与中国宁波的早产风险正相关。

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