Classification of personal exposure to radio frequency electromagnetic fields (RF-EMF) for epidemiological research: Evaluation of different exposure assessment methods
Classification of personal exposure to radio frequency electromagnetic fields (RF-EMF) for epidemiological research: Evaluation of different exposure assessment methods
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DOI：
10.1016/j.envint.2010.05.005
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发表时间：
2010-10-01
影响因子：
11.8
通讯作者：
Roosli, Martin
中科院分区：
文献类型：
--
作者：
Frei, Patrizia;Mohler, Evelyn;Roosli, Martin
建议使用个人曝光计(曝光计)来测量个人在日常生活中从环境远场源中暴露在射频电磁场(RF-EMF)中的情况。然而，目前还不清楚使用个人移动电话和无绳电话时的测量结果会在多大程度上影响曝光表的读数。此外，由于研究参与者的高成本和大工作量，在大型流行病学研究中使用暴露仪受到限制。在目前的分析中，我们的目标是调查个人使用手机对暴露仪读数的影响，并评估可能在流行病学研究中有用的不同暴露评估方法。我们收集了166名研究参与者在一周内的个人暴露测量和日记数据。此外，我们收集了参与者卧室的现场测量数据和自我估计的暴露数据，通过从地理空间传播模型计算地理编码距离和平均RF-EMF来评估住宅对固定地点发射器的暴露，并基于传播模型和暴露相关行为开发了暴露预测模型。如果不包括个人通话期间的测量，个人平均暴露剂量为0.13 mW/m(2)，如果包括此类测量，平均个人暴露剂量为0.15 mW/m(2)。SPOT测量的Spearman相关性为0.42(95%-CI：0.29-0.55)，地理编码距离为-0.03(95%-CI：-0.18-0.12)，地理空间传播模型为0.28(95%-CI：0.14-0.42)，完全暴露预测模型为0.50(95%-CI：0.37-0.61)，自我估计暴露为0.06(95%-CI：-0.10-0.21)。总而言之，用暴露仪测量的个人暴露与全面暴露预测模型和现场测量的相关性最好。自我估计的暴露和地理编码的距离被证明是个人暴露的糟糕替代品。(C)2010爱思唯尔有限公司。保留所有权利。
The use of personal exposure meters (exposimeters) has been recommended for measuring personal exposure to radio frequency electromagnetic fields (RF-EMF) from environmental far-field sources in everyday life. However, it is unclear to what extent exposimeter readings are affected by measurements taken when personal mobile and cordless phones are used. In addition, the use of exposimeters in large epidemiological studies is limited due to high costs and large effort for study participants. In the current analysis we aimed to investigate the impact of personal phone use on exposimeter readings and to evaluate different exposure assessment methods potentially useful in epidemiological studies. We collected personal exposimeter measurements during one week and diary data from 166 study participants. Moreover, we collected spot measurements in the participants' bedrooms and data on self-estimated exposure, assessed residential exposure to fixed site transmitters by calculating the geo-coded distance and mean RF-EMF from a geospatial propagation model, and developed an exposure prediction model based on the propagation model and exposure relevant behavior. The mean personal exposure was 0.13 mW/m(2), when measurements during personal phone calls were excluded and 0.15 mW/m(2), when such measurements were included. The Spearman correlation with personal exposure (without personal phone calls) was 0.42 (95%-CI: 0.29 to 0.55) for the spot measurements, -0.03 (95%-CI: -0.18 to 0.12) for the geo-coded distance, 0.28 (95%-CI: 0.14 to 0.42) for the geospatial propagation model, 0.50 (95%-CI: 0.37 to 0.61) for the full exposure prediction model and 0.06 (95%-CI: -0.10 to 0.21) for self-estimated exposure. In conclusion, personal exposure measured with exposimeters correlated best with the full exposure prediction model and spot measurements. Self-estimated exposure and geo-coded distance turned out to be poor surrogates for personal exposure. (C) 2010 Elsevier Ltd. All rights reserved.