TY - JOUR
T1 - Radio-frequency electromagnetic field exposure and contribution of sources in the general population
T2 - an organ-specific integrative exposure assessment
AU - van Wel, Luuk
AU - Liorni, Ilaria
AU - Huss, Anke
AU - Thielens, Arno
AU - Wiart, Joe
AU - Joseph, Wout
AU - Röösli, Martin
AU - Foerster, Milena
AU - Massardier-Pilonchery, Amelie
AU - Capstick, Myles
AU - Cardis, Elisabeth
AU - Vermeulen, Roel
N1 - © 2021. The Author(s), under exclusive licence to Springer Nature America, Inc. part of Springer Nature.
PY - 2021/11
Y1 - 2021/11
N2 - 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.
AB - 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.
KW - Dose estimation
KW - Mobile communication devices
KW - Modelling
KW - RF-EMF
U2 - 10.1038/s41370-021-00287-8
DO - 10.1038/s41370-021-00287-8
M3 - Article
C2 - 33654268
SN - 1559-0631
VL - 31
SP - 999
EP - 1007
JO - Journal of Exposure Science and Environmental Epidemiology
JF - Journal of Exposure Science and Environmental Epidemiology
IS - 6
ER -