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个人接触射频电磁场(RF-EMF)的分类:不同暴露评估方法的评估。

Classification of personal exposure to radio frequency electromagnetic fields (RF-EMF) for epidemiological research: Evaluation of different exposure assessment methods.

机构信息

Swiss Tropical and Public Health Institute, Switzerland.

出版信息

Environ Int. 2010 Oct;36(7):714-20. doi: 10.1016/j.envint.2010.05.005. Epub 2010 Jun 9.

Abstract

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.

摘要

个人暴露计(暴露计)已被推荐用于测量日常生活中来自环境远场源的射频电磁场(RF-EMF)的个人暴露。然而,暴露计读数在多大程度上受到个人移动电话和无绳电话使用时的测量值的影响尚不清楚。此外,由于成本高和研究参与者的工作量大,暴露计在大型流行病学研究中的使用受到限制。在目前的分析中,我们旨在研究个人电话使用对暴露计读数的影响,并评估在流行病学研究中可能有用的不同暴露评估方法。我们在一周内收集了个人暴露计测量值和 166 名研究参与者的日记数据。此外,我们在参与者的卧室中进行了现场测量,并收集了自我估计的暴露数据,通过计算地理编码距离和来自地理传播模型的平均 RF-EMF 来评估固定站点发射机的住宅暴露情况,并基于传播模型和暴露相关行为开发了暴露预测模型。排除个人电话通话期间的测量值时,个人暴露的平均值为 0.13 mW/m(2),包括此类测量值时为 0.15 mW/m(2)。与个人暴露(无个人电话通话)的 Spearman 相关系数为 0.42(95%-CI:0.29 至 0.55),现场测量值为-0.03(95%-CI:-0.18 至 0.12),地理编码距离为 0.28(95%-CI:0.14 至 0.42),地理空间传播模型为 0.50(95%-CI:0.37 至 0.61),完整的暴露预测模型为 0.06(95%-CI:-0.10 至 0.21),自我估计的暴露。总之,暴露计测量的个人暴露与完整的暴露预测模型和现场测量值相关性最佳。自我估计的暴露和地理编码距离被证明是个人暴露的不良替代物。

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