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Modeled and Perceived Exposure to Radiofrequency Electromagnetic Fields From Mobile-Phone Base Stations and the Development of Symptoms Over Time in a General Population Cohort.

Authors :
Martens, Astrid L.
Slottje, Pauline
Timmermans, Danielle R. M.
Kromhout, Hans
Reedijk, Marije
Vermeulen, Roel C. H.
Smid, Tjabe
Source :
American Journal of Epidemiology; 07/15/2017, Vol. 186 Issue 2, p210-219, 10p
Publication Year :
2017

Abstract

We assessed associations between modeled and perceived exposure to radiofrequency electromagnetic fields (RF-EMF) from mobile-phone base stations and the development of nonspecific symptoms and sleep disturbances over time. A population-based Dutch cohort study, the Occupational and Environmental Health Cohort Study (AMIGO) (n = 14,829; ages 31-65 years), was established in 2011/2012 (T<subscript>0</subscript>), with follow-up of a subgroup (n = 3,992 invited) in 2013 (T<subscript>1</subscript>; n = 2,228) and 2014 (T<subscript>2</subscript>; n = 1,740). We modeled far-field RF-EMF exposure from mobile-phone base stations at the home addresses of the participants using a 3-dimensional geospatial model (NISMap). Perceived exposure (0 = not at all; 6 = very much), nonspecific symptoms, and sleep disturbances were assessed by questionnaire. We performed cross-sectional and longitudinal analyses, including fixed-effects regression. We found small correlations between modeled and perceived exposure in AMIGO participants at baseline (n = 14,309; r<subscript>Spearman</subscript> = 0.10). For 222 follow-up participants, modeled exposure increased substantially (>0.030 mW/m²) between T<subscript>0</subscript> and T<subscript>1</subscript>. This increase in modeled exposure was associated with an increase in perceived exposure during the same time period. In contrast to modeled RF-EMF exposure from mobile-phone base stations, perceived exposure was associated with higher symptom reporting scores in both cross-sectional and longitudinal analyses, as well as with sleep disturbances in cross-sectional analyses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00029262
Volume :
186
Issue :
2
Database :
Complementary Index
Journal :
American Journal of Epidemiology
Publication Type :
Academic Journal
Accession number :
124137878
Full Text :
https://doi.org/10.1093/aje/kwx041