A national comparison between the collocated short- and long-term radon measurements in the United States.
A national comparison between the collocated short- and long-term radon measurements in the United States.
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DOI：
10.1038/s41370-023-00521-5
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发表时间：
2023-05
影响因子：
4.5
通讯作者：
Koutrakis, Petros
中科院分区：
文献类型：
--
作者：
Li, Longxiang;Coull, Brent A.;Koutrakis, Petros
了解氡气浓度的地理和时间变化对于评估住宅中的氡气暴露至关重要，氡气是美国从不吸烟者患肺癌的主要原因。在过去的几十年里，已经进行了数千万次短期氡气测量，通常持续 2 至 4 天。然而，这些大规模的短期测量并未普遍用于暴露评估，因为它们与长期测量（评估长期氡暴露的黄金标准）的相关性证据相互矛盾。我们的目的是评估在不同条件下通过并置短期氡气测量可以预测长期氡气测量的程度。我们编制了包含 2,245 对并置的短期和长期测量值的国家数据集，通过分层线性回归和自举重采样分析了长期测量值的可预测性。我们发现，通过并置短期测量可以预测长期测量的程度是两个因素的联合函数：两次测量之间开始日期的时间差异和长期测量的长度。短期测量与其他因素相结合，可以解释高达 79%（0.95 置信区间 [CI]：0.73 至 0.84）的季节性氡浓度方差，并可以解释高达 67%（0.95 CI：0.52 至 0.81）的年度氡浓度方差。所解释的大比例方差表明短期测量可以用作季节性氡气浓度的方便替代指标。准确的年度氡气估算需要对不同季节的多个短期测量值进行平均。我们的研究结果将有助于使用大量的短期氡气测量值，这些测量值已经获得，但之前在评估住宅氡气暴露方面并未得到充分利用。
Knowing the geographical and temporal variation in radon concentrations is essential for assessing residential exposure to radon, the leading cause of lung cancer in never-smokers in the United States. Tens of millions of short-term radon measurements, which normally last 2 to 4 days, have been conducted during the past decades. However, these massive short-term measurements have not been commonly used in exposure assessment because of the conflicting evidence regarding their correlation with long-term measurements, the gold standard of assessing long-term radon exposure. We aim to evaluate the extent to which a long-term radon measurement can be predicted by a collocated short-term radon measurement under different conditions. We compiled a national dataset of 2,245 pairs of collocated short- and long-term measurements, analyzed the predictability of long-term measurements with stratified linear regression and bootstrapping resampling. We found that the extent to which a long-term measurement can be predicted by the collocated short-term measurement was a joint function of two factors: the temporal difference in starting dates between two measurements and the length of the long-term measurement. Short-term measurements, jointly with other factors, could explain up to 79% (0.95 Confidence Interval [CI]: 0.73 to 0.84) of the variance in seasonal radon concentrations and could explain up to 67% (0.95 CI: 0.52 to 0.81) of the variance in annual radon concentrations. The large proportions of variance explained suggests that short-term measurement can be used as convenient proxy for seasonal radon concentrations. Accurate annual radon estimation entails averaging multiple short-term measurements in different seasons. Our findings will facilitate the usage of abundant short-term radon measurements, which have been obtained but was previously underutilized in assessing residential radon exposure.
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影响因子：
11.4
作者：
Li, Longxiang;Blomberg, Annelise J.;Koutrakis, Petros
通讯作者：
Koutrakis, Petros
影响因子：
2.2
作者：
Sun, Kainan;Majdan, Marek;Field, R. William
通讯作者：
Field, R. William
影响因子：
2.2
作者：
Barros NG;Steck DJ;Field RW
通讯作者：
Field RW
影响因子：
1
作者：
Arvela, H.;Holmgren, O.;Hanninen, P.
通讯作者：
Hanninen, P.
影响因子：
1
作者：
George, A. C.
通讯作者：
George, A. C.