Literature DB >> 33654268

Radio-frequency electromagnetic field exposure and contribution of sources in the general population: an organ-specific integrative exposure assessment.

Luuk van Wel1, Ilaria Liorni2, Anke Huss1, Arno Thielens3,4, Joe Wiart5, Wout Joseph3, Martin Röösli6,7, Milena Foerster6,7, Amelie Massardier-Pilonchery8,9, Myles Capstick2, Elisabeth Cardis10,11,12, Roel Vermeulen13.   

Abstract

In order to achieve an integrated radio-frequency electromagnetic fields (RF-EMF) dose assessment, detailed information about source-specific exposure duration and output power is needed. We developed an Integrated Exposure Model (IEM) to combine energy absorbed due to use of and exposure to RF-EMF sources and applied it to a sample of the general population to derive population RF-EMF estimates. The IEM used specific absorption rate transfer algorithms to provide RF-EMF daily dose estimates (mJ/kg/day) using source-specific attributes (e.g. output power, distance), personal characteristics and usage patterns. Information was obtained from an international survey performed in four European countries with 1755 participants. We obtained median whole-body and whole-brain doses of 183.7 and 204.4 mJ/kg/day. Main contributors to whole-brain dose were mobile phone near the head for calling (2G networks) and far-field sources, whereas the latter together with multiple other RF-EMF sources were main contributors for whole-body dose. For other anatomical sites, 2G phone calls, mobile data and far-field exposure were important contributors. The IEM provides insight into main contributors to total RF-EMF dose and, applied to an international survey, provides an estimate of population RF-dose. The IEM can be used in future epidemiological studies, risk assessments and exposure reduction strategies.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc. part of Springer Nature.

Entities:  

Keywords:  Dose estimation; Mobile communication devices; Modelling; RF-EMF

Mesh:

Year:  2021        PMID: 33654268     DOI: 10.1038/s41370-021-00287-8

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  1 in total

1.  A model for radiofrequency electromagnetic field predictions at outdoor and indoor locations in the context of epidemiological research.

Authors:  Alfred Bürgi; Patrizia Frei; Gaston Theis; Evelyn Mohler; Charlotte Braun-Fahrländer; Jürg Fröhlich; Georg Neubauer; Matthias Egger; Martin Röösli
Journal:  Bioelectromagnetics       Date:  2010-04       Impact factor: 2.010

  1 in total
  2 in total

1.  The effects of radiofrequency electromagnetic fields exposure on tinnitus, migraine and non-specific symptoms in the general and working population: A protocol for a systematic review on human observational studies.

Authors:  Martin Röösli; Stefan Dongus; Hamed Jalilian; Maria Feychting; John Eyers; Ekpereonne Esu; Chioma Moses Oringanje; Martin Meremikwu; Xavier Bosch-Capblanch
Journal:  Environ Int       Date:  2021-09-06       Impact factor: 9.621

Review 2.  Three Quarters of a Century of Research on RF Exposure Assessment and Dosimetry-What Have We Learned?

Authors:  Kenneth R Foster; Marvin C Ziskin; Quirino Balzano
Journal:  Int J Environ Res Public Health       Date:  2022-02-12       Impact factor: 3.390

  2 in total

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