Centre for Population Health Research on Electromagnetic Energy (PRESEE), School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia.
School of Engineering, University of Melbourne, Parkville, Melbourne, VIC 3010, Australia.
Int J Environ Res Public Health. 2018 Mar 26;15(4):592. doi: 10.3390/ijerph15040592.
Uncertainty in experimental studies of exposure to radiation from mobile phones has in the past only been framed within the context of statistical variability. It is now becoming more apparent to researchers that epistemic or reducible uncertainties can also affect the total error in results. These uncertainties are derived from a wide range of sources including human error, such as data transcription, model structure, measurement and linguistic errors in communication. The issue of epistemic uncertainty is reviewed and interpreted in the context of the MoRPhEUS, ExPOSURE and HERMES cohort studies which investigate the effect of radiofrequency electromagnetic radiation from mobile phones on memory performance. Research into this field has found inconsistent results due to limitations from a range of epistemic sources. Potential analytic approaches are suggested based on quantification of epistemic error using Monte Carlo simulation. It is recommended that future studies investigating the relationship between radiofrequency electromagnetic radiation and memory performance pay more attention to treatment of epistemic uncertainties as well as further research into improving exposure assessment. Use of directed acyclic graphs is also encouraged to display the assumed covariate relationship.
在过去,对手机辐射暴露的实验研究中的不确定性仅在统计变异性的背景下进行了说明。现在,研究人员越来越清楚地认识到,认知或可减少的不确定性也会影响结果的总误差。这些不确定性源自多种来源,包括人为错误,如数据转录、模型结构、测量和语言交流错误。本文在 MoRPhEUS、ExPOSURE 和 HERMES 队列研究的背景下,对认知不确定性进行了回顾和解释,这些研究调查了手机射频电磁辐射对记忆力的影响。由于认知来源的一系列限制,该领域的研究发现结果不一致。建议根据使用蒙特卡罗模拟进行认知错误量化的潜在分析方法。建议未来研究在调查射频电磁辐射与记忆力之间关系时,更加关注认知不确定性的处理以及进一步研究改善暴露评估。还鼓励使用有向无环图来显示假设的协变量关系。