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Radio-frequency electromagnetic field exposure and contribution of sources in the general population: an organ-specific integrative exposure assessment.
van Wel, Luuk; Liorni, Ilaria; Huss, Anke; Thielens, Arno; Wiart, Joe; Joseph, Wout; Röösli, Martin; Foerster, Milena; Massardier-Pilonchery, Amelie; Capstick, Myles; Cardis, Elisabeth; Vermeulen, Roel.
Afiliação
  • van Wel L; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands.
  • Liorni I; Foundation for Research on Information Technologies in Society (IT'IS Foundation), Zeughausstrasse, 43, 8004, Zurich, Switzerland.
  • Huss A; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands.
  • Thielens A; Department of Information Technology, Ghent University, IMEC, Waves Research Group, Ghent, 9052, Belgium.
  • Wiart J; Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley Wireless Research Center, Berkeley, CA, 94704, USA.
  • Joseph W; Chair C2M, LTCI Télecom Paris, Institut polytechnique de Paris, Paris, France.
  • Röösli M; Department of Information Technology, Ghent University, IMEC, Waves Research Group, Ghent, 9052, Belgium.
  • Foerster M; Swiss Tropical and Public Health Institute, Basel, 4051, Switzerland.
  • Massardier-Pilonchery A; University of Basel, Basel, Switzerland.
  • Capstick M; Swiss Tropical and Public Health Institute, Basel, 4051, Switzerland.
  • Cardis E; University of Basel, Basel, Switzerland.
  • Vermeulen R; Université de Lyon, Université Claude Bernard Lyon, Ifsttar, UMRESTTE, UMR T_9405, 8 Avenue Rockefeller, 69373, Lyon, France.
J Expo Sci Environ Epidemiol ; 31(6): 999-1007, 2021 11.
Article em En | MEDLINE | ID: mdl-33654268
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.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Telefone Celular / Campos Eletromagnéticos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Expo Sci Environ Epidemiol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Telefone Celular / Campos Eletromagnéticos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Expo Sci Environ Epidemiol Ano de publicação: 2021 Tipo de documento: Article