Department of Population Health, School of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND 58202-9037, USA.
Department of Communication Sciences and Disorders, College of Arts & Sciences, University of North Dakota, Grand Forks, ND 58202, USA.
Int J Environ Res Public Health. 2022 Mar 18;19(6):3615. doi: 10.3390/ijerph19063615.
Objective: Radon exposure is a proven cause of lung cancer and is a possible cause of other diseases. Recently, several ecologic studies explored the correlation of county-wide incidence rates for non-lung cancers with residential radon levels, using radon data reported by a commercial laboratory. However, the validity of the commercial radon data, i.e., whether they are an accurate representation of the radon levels in the counties from which they were drawn, is unknown. Methods: We compared county-wide radon data from the commercial laboratory with corresponding measurements from the same counties reported previously by the Environmental Protection Agency (EPA). Matching data were available for four states, Iowa, North Dakota, Texas, and Wisconsin, and were compared by paired t-tests. Criterion validity of the commercial tests, i.e., how well the commercial data predicted the EPA data, was tested using non-parametric methods, Kendall’s tau, Lin’s concordance, and Passing−Bablok regression. Results: The commercial and EPA data pairs from the four states were significantly positively correlated, although the size of the correlations was modest (tau = 0.490, Lin = 0.600). Passing−Bablok regression indicated that the commercial radon values were significantly higher than their EPA pairs and significantly overestimated radon at low levels (<4 pCi/L, p < 0.001). Conclusions: The commercial laboratory data were moderately predictive of EPA radon levels at the county level but were significantly biased upwards at low levels. The disagreement likely has several causes, including selection bias from homes that were tested voluntarily. Ecologic studies that employ radon data obtained from commercial laboratories should be interpreted with caution.
氡暴露已被证实是肺癌的成因之一,也可能是其他疾病的成因之一。最近,有几项生态研究探索了全县非肺癌发病率与住宅氡水平之间的相关性,使用的是商业实验室报告的氡数据。然而,商业氡数据的有效性,即它们是否准确代表了其来源县的氡水平,尚不清楚。
我们将商业实验室的全县氡数据与之前由环境保护署(EPA)报告的相同县的相应测量值进行了比较。爱荷华州、北达科他州、得克萨斯州和威斯康星州的四个州有匹配的数据,并用配对 t 检验进行了比较。使用非参数方法、Kendall's tau、Lin's 一致性和 Passing-Bablok 回归测试了商业测试的准则有效性,即商业数据预测 EPA 数据的效果如何。
四个州的商业和 EPA 数据对呈显著正相关,尽管相关性的大小适中(tau = 0.490,Lin = 0.600)。Passing-Bablok 回归表明,商业氡值明显高于其 EPA 对,并且在低水平(<4 pCi/L,p < 0.001)下明显高估了氡。
商业实验室数据在县一级对 EPA 氡水平有中等程度的预测能力,但在低水平时明显向上偏倚。这种差异可能有几个原因,包括自愿接受测试的家庭的选择偏差。使用商业实验室获得的氡数据进行的生态研究应谨慎解释。