Abstract
Background. The development of new wireless communication technologies that emit radio frequency electromagnetic fields (RF-EMF) is ongoing, but little is known about the RF-EMF exposure distribution in the general population. Previous attempts to measure personal exposure to RF-EMF have used different measurement protocols and analysis methods making comparisons between exposure situations across different study populations very difficult. As a result, observed differences in exposure levels between study populations may not reflect real exposure differences but may be in part, or wholly due to methodological differences. Methods. The aim of this paper is to develop a study protocol for future personal RF-EMF exposure studies based on experience drawn from previous research. Using the current knowledge base, we propose procedures for the measurement of personal exposure to RF-EMF, data collection, data management and analysis, and methods for the selection and instruction of study participants. Results. We have identified two basic types of personal RF-EMF measurement studies: population surveys and microenvironmental measurements. In the case of a population survey, the unit of observation is the individual and a randomly selected representative sample of the population is needed to obtain reliable results. For microenvironmental measurements, study participants are selected in order to represent typical behaviours in different microenvironments. These two study types require different methods and procedures. Conclusion. Applying our proposed common core procedures in future personal measurement studies will allow direct comparisons of personal RF-EMF exposures in different populations and study areas.
| Original language | English |
|---|---|
| Article number | 23 |
| Journal | Environmental Health: A Global Access Science Source |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2010 |
Bibliographical note
Funding Information:No specific funding was obtained for development of this paper. We obtained travel reimbursements from COST Action BM0704 for meetings in Davos (17 June 2009) and Dublin (26 August 2009). MR is supported by the Swiss School of Public Health (SSPH+). JB is supported by the Netherlands Organisation for Health Research and Development (ZonMw). PF and EM are supported by the Swiss National Science Foundation (Grant 405740-113595). WJ is a Post-Doctoral Fellow of the FWO-V (Research Foundation - Flanders).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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