ID Number		1930
Study Type		Epidemiology
Model		Body worn personal dosimeters to monitor exposure from base stations and other RF sources.
Details		Volunteers (n = 184) were given a personal exposure meter(EMF SPY 120) for 24 hours and keep a location diary. The exposure meters detected FM, TV, GSM, DCS, and UMTS frequency bands. The locations of RF towers were also obtained and compared with the location diaries. The authors report that there was significant variation between individuals, that the maximum electric field strengths recorded (1.5 V/m) were below the ICNIRP reference level for general public as well as lower than the stringent "Paris Charter" limit (2 V/m). Finally, exposure levels seemed to decrease from urban to suburban to rural locations. AUTHORS' ABSTRACT: Viel et al. 2011 (IEEE #5669): Although measurement of the radiofrequency (RF) exposure can today be performed with personal exposure meters, this approach would be very expensive and time-consuming for large studies, and long term measurements would require considerable commitment of the study participants. Thus, there is a need for validated exposure assessment methods that do not require individual measurements for each study participant. Among the potential predictors, one of the most amenable to being recorded adequately is the day of the week. Drawing upon an existing population-based study, our goal was therefore to assess variability of individual RF exposure across days of the week. The random sample consisted of 34 people who were supplied with a personal exposure meter for seven consecutive days, and kept a time-location-activity diary. A total of 225,414 electric field strength measurements were recorded in 12 different RF bands. Summary statistics were calculated with the robust regression on order statistics method. We found evidence for statistically significant variability of individual RF exposure across days of the week, though the relative magnitude of the differences observed was small. Larger studies are needed to validate these results and determine whether day of the week is an important determinant for inclusion in individual RF exposure prediction models that remain urgently needed to conduct epidemiological studies on potential health effects.
Findings		Not Applicable to Bioeffects
Status		Completed With Publication
Principal Investigator		University of Franche-Comte, France
Funding Agency		France Environ Occup Health
Country		FRANCE
References		Viel, JF et al. Occup Environ Med., (2009) 66:550-556 Viel, JF et al. Environ Res., (2011) 111:510-513
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