Sun Kainan, Field R William, Steck Daniel J
Department of Occupational and Environmental Health, Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA 52242, USA.
Health Phys. 2010 Jan;98(1):29-36. doi: 10.1097/HP.0b013e3181b8cf92.
The quantitative relationships between radon gas concentration, the surface-deposited activities of various radon progeny, the airborne radon progeny dose rate, and various residential environmental factors were investigated through a Monte Carlo simulation study based on the extended Jacobi room model. Airborne dose rates were calculated from the unattached and attached potential alpha-energy concentrations (PAECs) using two dosimetric models. Surface-deposited (218)Po and (214)Po were significantly correlated with radon concentration, PAECs, and airborne dose rate (p-values <0.0001) in both non-smoking and smoking environments. However, in non-smoking environments, the deposited radon progeny were not highly correlated to the attached PAEC. In multiple linear regression analysis, natural logarithm transformation was performed for airborne dose rate as a dependent variable, as well as for radon and deposited (218)Po and (214)Po as predictors. In non-smoking environments, after adjusting for the effect of radon, deposited (214)Po was a significant positive predictor for one dose model (RR 1.46, 95% CI 1.27-1.67), while deposited (218)Po was a negative predictor for the other dose model (RR 0.90, 95% CI 0.83-0.98). In smoking environments, after adjusting for radon and room size, deposited (218)Po was a significant positive predictor for one dose model (RR 1.10, 95% CI 1.02-1.19), while a significant negative predictor for the other model (RR 0.90, 95% CI 0.85-0.95). After adjusting for radon and deposited (218)Po, significant increases of 1.14 (95% CI 1.03-1.27) and 1.13 (95% CI 1.05-1.22) in the mean dose rates were found for large room sizes relative to small room sizes in the different dose models.
基于扩展的雅可比房间模型，通过蒙特卡罗模拟研究，调查了氡气浓度、各种氡子体的表面沉积活度、空气中氡子体剂量率与各种居住环境因素之间的定量关系。使用两种剂量模型，根据未附着和附着的潜在α能量浓度（PAECs）计算空气中的剂量率。在非吸烟和吸烟环境中，表面沉积的（218）Po和（214）Po与氡浓度、PAECs和空气中剂量率均显著相关（p值<0.0001）。然而，在非吸烟环境中，沉积的氡子体与附着的PAEC相关性不高。在多元线性回归分析中，对作为因变量的空气中剂量率以及作为预测因子的氡和沉积的（218）Po和（214）Po进行自然对数变换。在非吸烟环境中，在调整氡的影响后，沉积的（214）Po是一种剂量模型的显著正预测因子（RR 1.46，95%CI 1.27 - 1.67），而沉积的（218）Po是另一种剂量模型的负预测因子（RR 0.90，95%CI 0.83 - 0.98）。在吸烟环境中，在调整氡和房间大小后，沉积的（218）Po是一种剂量模型的显著正预测因子（RR 1.10，95%CI 1.02 - 1.19），而对另一种模型是显著负预测因子（RR 0.90，95%CI 0.85 - 0.95）。在调整氡和沉积的（218）Po后，在不同剂量模型中，相对于小房间大小，大房间大小的平均剂量率分别显著增加1.14（95%CI 1.03 - 1.27）和1.13（95%CI 1.05 - 1.22）。
