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Quantification of CVesium-137 Infernal Equivalent Dose in a Cohort of Children from Narodichi, Ukraine Utilizing a Mechanistic Ecological Model

机译:利用机械生态模型,乌克兰群岛群组中的CVERIUM-137群岛群体的量化剂量

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Impoverished children living in Narodichi, Ukraine have been chronically exposed to low-doses of cesium-137 derived from the Chernobyl Nuclear Power Plant accident in 1986. Narodichi's children represent an important cohort for determining the presence or absence of deterministic health effects from chronic internal low-dose beta and gamma radiation. Epidemiological studies have already discovered associations between internal cesium-137 annual dose in children and adverse immunological and pulmonary consequences. However, more adequate dose data, in conjunction with epidemiological and toxicological study, are needed to further determine causality. We conducted a multivariate linear regression of whole body dose estimations (utilizing whole body count (WBC) method) and associated risk factors for the Narodichi cohort. The predictive model identified proximal residential soil activity as the most significant predictor of dose (t=4.92, p<0.001). Based on this finding and the fact that citizens of Narodichi use residential soil for subsistence agriculture, we utilized a validated agricultural-soil based mechanistic model to further estimate dose for the cohort. The geometric mean whole body dose from the mechanistic model was 0.112 mSv/y, which was significantly lower than the geometric mean dose estimated by the WBC method (t=-57.57, p<0.001). However, both dose estimation models were significantly correlated (r=0.416, p<0.001). The mechanistic model does not include the consumption of highly contaminated non-agricultural food products and could explain the significantly lower dose estimates when compared to the WBC method.
机译:居住在乌克兰的贫困儿童,乌克兰一直被暴露于1986年核心核电站事故中的低剂量铯-137.纳多奇的儿童代表着确定来自慢性内部低的确定性健康影响的重要伙伴 - 糖尿病和γ辐射。流行病学研究已经发现了内部铯-137年龄儿童的联合症和不良免疫和肺后后果。然而,需要与流行病学和毒理学研究结合流行病学和毒理学研究,需要进一步确定因果关系。我们进行了全身剂量估计的多变量线性消退(利用全身计数(WBC)方法)和Narodichi Cohort的相关危险因素。预测模型将近端住宅土壤活性确定为剂量最显着的预测因子(T = 4.92,P <0.001)。基于这一发现的基础,纳达科迪公民使用住宅土壤为生存农业,我们利用了一个经过验证的农业土壤基机械模型来进一步估计队列剂量。来自机械模型的几何平均全身剂量为0.112msv / y,显着低于WBC方法估计的几何平均剂量(T = -57.57,P <0.001)。然而,两种剂量估计模型都显着相关(r = 0.416,p <0.001)。机械模型不包括高度受污染的非农业食品消耗的消耗,并且与WBC方法相比,可以解释显着降低的剂量估计。

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