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首页> 外文期刊>American Journal of Epidemiology >Relation of whole blood carboxyhemoglobin concentration to ambient carbon monoxide exposure estimated using regression.
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Relation of whole blood carboxyhemoglobin concentration to ambient carbon monoxide exposure estimated using regression.

机译:全血中的羧基血红蛋白浓度与周围一氧化碳暴露量之间的关系采用回归法估算。

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Exposure to carbon monoxide (CO) and other ambient air pollutants is associated with adverse pregnancy outcomes. While there are several methods of estimating CO exposure, few have been evaluated against exposure biomarkers. The authors examined the relation between estimated CO exposure and blood carboxyhemoglobin concentration in 708 pregnant western Washington State women (1996-2004). Carboxyhemoglobin was measured in whole blood drawn around 13 weeks' gestation. CO exposure during the month of blood draw was estimated using a regression model containing predictor terms for year, month, street and population densities, and distance to the nearest major road. Year and month were the strongest predictors. Carboxyhemoglobin level was correlated with estimated CO exposure (rho = 0.22, 95% confidence interval (CI): 0.15, 0.29). After adjustment for covariates, each 10% increase in estimated exposure was associated with a 1.12% increase in median carboxyhemoglobin level (95% CI: 0.54, 1.69). This association remained after exclusion of 286 women who reported smoking or being exposed to secondhand smoke (rho = 0.24). In this subgroup, the median carboxyhemoglobin concentration increased 1.29% (95% CI: 0.67, 1.91) for each 10% increase in CO exposure. Monthly estimated CO exposure was moderately correlated with an exposure biomarker. These results support the validity of this regression model for estimating ambient CO exposures in this population and geographic setting.
机译:一氧化碳(CO)和其他周围空气污染物的暴露与不良的妊娠结局有关。尽管有几种估算CO暴露的方法,但很少针对暴露生物标志物进行评估。作者检查了708名华盛顿州西部孕妇(1996-2004)的估计CO暴露量与血液中羧基血红蛋白浓度之间的关系。在妊娠13周左右抽取的全血中测量了碳氧血红蛋白。使用包含年,月,街道和人口密度以及到最近的主要道路的距离的预测项的回归模型,可以估计抽血月份的CO暴露量。年和月是最强的预测指标。碳氧血红蛋白水平与估计的一氧化碳暴露相关(rho = 0.22,95%置信区间(CI):0.15,0.29)。调整协变量后,估计暴露量每增加10%,就会使中位数羧基血红蛋白水平增加1.12%(95%CI:0.54,1.69)。在排除了286名报告吸烟或接触过二手烟的妇女(rho = 0.24)之后,这种关联仍然存在。在这个亚组中,每增加10%的CO暴露,中位数羧基血红蛋白浓度就会增加1.29%(95%CI:0.67,1.91)。每月估计的CO暴露与暴露生物标志物有中等程度的相关性。这些结果支持了该回归模型用于估算该人群和地理环境中的环境CO暴露的有效性。

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