Estimation of RF and ELF dose by anatomical location in the brain from wireless phones in the MOBI-Kids study.


Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
05 2022
Historique:
received: 21 12 2021
revised: 28 02 2022
accepted: 14 03 2022
pubmed: 22 4 2022
medline: 27 4 2022
entrez: 21 4 2022
Statut: ppublish

Résumé

Wireless phones (both mobile and cordless) emit not only radiofrequency (RF) electromagnetic fields (EMF) but also extremely low frequency (ELF) magnetic fields, both of which should be considered in epidemiological studies of the possible adverse health effects of use of such devices. This paper describes a unique algorithm, developed for the multinational case-control MOBI-Kids study, that estimates the cumulative specific energy (CSE) and the cumulative induced current density (CICD) in the brain from RF and ELF fields, respectively, for each subject in the study (aged 10-24 years old). Factors such as age, tumour location, self-reported phone models and usage patterns (laterality, call frequency/duration and hands-free use) were considered, as was the prevalence of different communication systems over time. Median CSE and CICD were substantially higher in GSM than 3G systems and varied considerably with location in the brain. Agreement between RF CSE and mobile phone use variables was moderate to null, depending on the communication system. Agreement between mobile phone use variables and ELF CICD was higher overall but also strongly dependent on communication system. Despite ELF dose distribution across the brain being more diffuse than that of RF, high correlation was observed between RF and ELF dose. The algorithm was used to systematically estimate the localised RF and ELF doses in the brain from wireless phones, which were found to be strongly dependent on location and communication system. Analysis of cartographies showed high correlation across phone models and across ages, however diagonal agreement between these cartographies suggest these factors do affect dose distribution to some level. Overall, duration and number of calls may not be adequate proxies of dose, particularly as communication systems available for voice calls tend to become more complex with time.

Identifiants

pubmed: 35447435
pii: S0160-4120(22)00115-5
doi: 10.1016/j.envint.2022.107189
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

107189

Informations de copyright

Crown Copyright © 2022. Published by Elsevier Ltd. All rights reserved.

Auteurs

Carolina Calderón (C)

UK Health Security Agency, Chemical, Radiation and Environmental Hazards, Chilton, Didcot, Oxon OX11 0RQ, United Kingdom. Electronic address: carolina.calderon@ukhsa.gov.uk.

Gemma Castaño-Vinyals (G)

Barcelona Institute of Global Health (ISGlobal), 88 Doctor Aiguader, E-08003 Barcelona, Spain; University Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Pública, Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.

Myron Maslanyj (M)

UK Health Security Agency, Chemical, Radiation and Environmental Hazards, Chilton, Didcot, Oxon OX11 0RQ, United Kingdom.

Joe Wiart (J)

WHIST Lab Common Lab of Orange Labs R&D and Institut Mines Telecom, Issy-les-Moulineaux, France; LTCI, Telecom Paris, Institut Polytechnique de Paris, 91120 Palaiseau, France.

Ae-Kyoung Lee (AK)

Radio Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon, Korea.

Masao Taki (M)

Department of Electrical Engineering, Graduate School of Engineering, Tokyo Metropolitan University, Japan.

Kanako Wake (K)

Electromagnetic Compatibility Laboratory, Electromagnetic Standards Research Center, Radio Research Institute, National Institute of Information and Communications Technology, Koganei, Japan.

Alex Abert (A)

Barcelona Institute of Global Health (ISGlobal), 88 Doctor Aiguader, E-08003 Barcelona, Spain; University Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Pública, Madrid, Spain.

Francesc Badia (F)

Barcelona Institute of Global Health (ISGlobal), 88 Doctor Aiguader, E-08003 Barcelona, Spain; University Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Pública, Madrid, Spain; University Autónoma de Barcelona, Spain.

Abdelhamid Hadjem (A)

WHIST Lab Common Lab of Orange Labs R&D and Institut Mines Telecom, Issy-les-Moulineaux, France.

Hans Kromhout (H)

Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.

Patricia de Llobet (P)

Barcelona Institute of Global Health (ISGlobal), 88 Doctor Aiguader, E-08003 Barcelona, Spain; University Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Pública, Madrid, Spain.

Nadège Varsier (N)

WHIST Lab Common Lab of Orange Labs R&D and Institut Mines Telecom, Issy-les-Moulineaux, France.

Emmanuelle Conil (E)

WHIST Lab Common Lab of Orange Labs R&D and Institut Mines Telecom, Issy-les-Moulineaux, France; Agence Nationale des FRéquences (ANFR), Maisons-Alfort, France(1).

Hyung-Do Choi (HD)

Radio Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon, Korea.

Malcolm R Sim (MR)

School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Science. Monash University, Alfred Centre, Commercial Road, Melbourne, Victoria 3004, Australia.

Elisabeth Cardis (E)

Barcelona Institute of Global Health (ISGlobal), 88 Doctor Aiguader, E-08003 Barcelona, Spain; University Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Pública, Madrid, Spain.

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