Authors

Viel JF, Tiv M, Moissonnier M, Cardis E, Hours M. (2011). Variability of radiofrequency exposure across days of the week: A population-based study. Environ Res. 111(4):510-3.

Introduction
Measurements of radiofrequency (RF) exposures with personal exposure meters are not feasible for large studies because they are expensive, time consuming and require considerable commitment of study participants. Thus, there is a need for exposure assessment methods that do not require personal monitoring. One approach consists of an individual prediction model based on the characteristics and behavior of the participants and modeling of ambient exposures (e.g. exposures from radio and TV transmitters and mobile phone base stations). One of the potential predictors in such modeling is the day of the week. This potential predictor has not yet been properly assessed.

Objectives
The objective was to assess variability of individual RF exposure across days of the week.

Methods
The analysis was based on data from an existing population-based study conducted in France. The random sample consisted of 34 people (residents of urban areas - 10, suburban -16 and rural – 8). The participants carried a personal exposure meter for seven consecutive days and kept a diary in which they recorded their location and activity every 15 min.

Results
A total of 225,414 measurements of electric field strength in 12 different radiofrequency bands were made. The total RF mean field was highest on Sunday (0.216 V/m) with greatest contributions from UMTS and DECT bands. The absolute differences in total fields on other days of the week were small: the values ranged from 0.206 to 0.211 V/m. Radiofrequency bands making highest and lowest contributions to the total field were different on different days.

Interpretation and Conclusion
The authors have concluded: “…day of the week may represent a relevant predictor for personal RF exposure. Larger studies would be needed to reproduce these results”.


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