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Is Non-Linear Concentration-Response Function between Daily Mean 03 Concentration and Mortality Biased?

机译:日均03浓度与死亡率之间是否存在非线性浓度响应函数?

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Background: The linearity of concentration-response (C-R) function between ambient O3 concentration and mortality has been controversial. Previous reports of non-linear C-R function has been suspected to be biased from unmeasured confounders. The aim of the present analysis is to examine the C-R function between 03 concentration and mortality with instrumental-variable approach. Methods: We extracted data of hourly meteorology, hourly O3 concentration and daily non-accidental mortality in Seoul from 2001 to 2009. We divided the dataset into two, odd-number (training set) and even-number years (testing set). Using the training set, we constructed a prediction model with support vector regression estimating the daily variations of mean O3 concentration caused by sun irradiance, wind speed and direction, uncorrelated with temperature and temporal trend. Then we predicted variance of daily O3 from the testing set using the prediction model, thus creating an instrumental variable. We analyzed the association between the instrumental variable and daily mortality. We also analyzed the association according to the different ranges of daily mean O3 concentration. Result: The cross-validated R2 was 0.20 and 0.15 for the prediction model with training set and testing set, respectively. The instrumental variable was significantly and negatively associated with daily mortality (3=-0.004$2SE=0.0009, P<0.0001). The negative slope of the association diminished as the quartile increased and the slope became positive in the 4th quartile (O3>29.7 ppb). The interaction between quartiles and instrumental variable was significant (P=0.0485). The slope was negative under 30 ppb of daily O3 concentration (B=-0.0041, SE=0.0011, P=0.0001), but it was positive over 30 ppb ((3=0.0012, SE=0.0022, P=0.6000). Conclusion: We observed unequal C-R function between ambient O3 concentration and mortality according to the different ranges of daily mean O3 concentration with instrumental-variable approach.
机译:背景:环境中O3浓度与死亡率之间的浓度响应(C-R)函数线性关系一直存在争议。以前的关于非线性C-R功能的报告被怀疑是来自无法测量的混杂因素。本分析的目的是使用仪器可变方法研究03浓度与死亡率之间的C-R功能。方法:我们提取了2001年至2009年汉城的每小时气象学,每小时O3浓度和每日非偶然死亡率的数据。我们将数据集分为奇数年(训练集)和偶数年(测试集)两个数据集。使用训练集,我们构建了带有支持向量回归的预测模型,该模型估计了由太阳辐照度,风速和风向引起的平均O3浓度的每日变化,与温度和时间趋势无关。然后,我们使用预测模型从测试集中预测了每日O3的方差,从而创建了一个工具变量。我们分析了仪器变量和每日死亡率之间的关联。我们还根据每日平均O3浓度的不同范围分析了这种关联。结果:对于带有训练集和测试集的预测模型,交叉验证的R2分别为0.20和0.15。工具变量与每日死亡率显着负相关(3 = -0.004 $ 2SE = 0.0009,P <0.0001)。关联的负斜率随着四分位数的增加而减小,并且在第四个四分位数中的斜率变为正值(O3> 29.7 ppb)。四分位数与工具变量之间的交互作用显着(P = 0.0485)。在每日O3浓度低于30 ppb时,斜率是负的(B = -0.0041,SE = 0.0011,P = 0.0001),但在高于30 ppb时,斜率是正的(3 = 0.0012,SE = 0.0022,P = 0.6000)。我们观察到,根据每日平均O3浓度的不同范围,使用仪器可变方法得出的环境O3浓度与死亡率之间的CR功能不相等。

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