Radiofrequency electromagnetic fields from mobile communication: Description of modeled dose in brain regions and the body in European children and adolescents.


Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
02 2021
Historique:
received: 16 09 2019
revised: 02 11 2020
accepted: 17 11 2020
pubmed: 28 11 2020
medline: 20 4 2021
entrez: 27 11 2020
Statut: ppublish

Résumé

Little is known about radiofrequency electromagnetic fields (RF) from mobile technology and resulting dose in young people. We describe modeled integrated RF dose in European children and adolescents combining own mobile device use and surrounding sources. Using an integrated RF model, we estimated the daily RF dose in the brain (whole-brain, cerebellum, frontal lobe, midbrain, occipital lobe, parietal lobe, temporal lobes) and the whole-body in 8358 children (ages 8-12) and adolescents (ages 14-18) from the Netherlands, Spain, and Switzerland during 2012-2016. The integrated model estimated RF dose from near-field sources (digital enhanced communication technology (DECT) phone, mobile phone, tablet, and laptop) and far-field sources (mobile phone base stations via 3D-radiowave modeling or RF measurements). Adolescents were more frequent mobile phone users and experienced higher modeled RF doses in the whole-brain (median 330.4 mJ/kg/day) compared to children (median 81.8 mJ/kg/day). Children spent more time using tablets or laptops compared to adolescents, resulting in higher RF doses in the whole-body (median whole-body dose of 81.8 mJ/kg/day) compared to adolescents (41.9 mJ/kg/day). Among brain regions, temporal lobes received the highest RF dose (medians of 274.9 and 1786.5 mJ/kg/day in children and adolescents, respectively) followed by the frontal lobe. In most children and adolescents, calling on 2G networks was the main contributor to RF dose in the whole-brain (medians of 31.1 and 273.7 mJ/kg/day, respectively). This first large study of RF dose to the brain and body of children and adolescents shows that mobile phone calls on 2G networks are the main determinants of brain dose, especially in temporal and frontal lobes, whereas whole-body doses were mostly determined by tablet and laptop use. The modeling of RF doses provides valuable input to epidemiological research and to potential risk management regarding RF exposure in young people.

Sections du résumé

BACKGROUND
Little is known about radiofrequency electromagnetic fields (RF) from mobile technology and resulting dose in young people. We describe modeled integrated RF dose in European children and adolescents combining own mobile device use and surrounding sources.
METHODS
Using an integrated RF model, we estimated the daily RF dose in the brain (whole-brain, cerebellum, frontal lobe, midbrain, occipital lobe, parietal lobe, temporal lobes) and the whole-body in 8358 children (ages 8-12) and adolescents (ages 14-18) from the Netherlands, Spain, and Switzerland during 2012-2016. The integrated model estimated RF dose from near-field sources (digital enhanced communication technology (DECT) phone, mobile phone, tablet, and laptop) and far-field sources (mobile phone base stations via 3D-radiowave modeling or RF measurements).
RESULTS
Adolescents were more frequent mobile phone users and experienced higher modeled RF doses in the whole-brain (median 330.4 mJ/kg/day) compared to children (median 81.8 mJ/kg/day). Children spent more time using tablets or laptops compared to adolescents, resulting in higher RF doses in the whole-body (median whole-body dose of 81.8 mJ/kg/day) compared to adolescents (41.9 mJ/kg/day). Among brain regions, temporal lobes received the highest RF dose (medians of 274.9 and 1786.5 mJ/kg/day in children and adolescents, respectively) followed by the frontal lobe. In most children and adolescents, calling on 2G networks was the main contributor to RF dose in the whole-brain (medians of 31.1 and 273.7 mJ/kg/day, respectively).
CONCLUSION
This first large study of RF dose to the brain and body of children and adolescents shows that mobile phone calls on 2G networks are the main determinants of brain dose, especially in temporal and frontal lobes, whereas whole-body doses were mostly determined by tablet and laptop use. The modeling of RF doses provides valuable input to epidemiological research and to potential risk management regarding RF exposure in young people.

Identifiants

pubmed: 33245886
pii: S0013-9351(20)31402-X
doi: 10.1016/j.envres.2020.110505
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

110505

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Auteurs

Laura Ellen Birks (LE)

ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.

Luuk van Wel (L)

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

Ilaria Liorni (I)

Foundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland.

Livia Pierotti (L)

ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.

Mònica Guxens (M)

ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.

Anke Huss (A)

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

Milena Foerster (M)

Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.

Myles Capstick (M)

Foundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland.

Marloes Eeftens (M)

Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.

Hanan El Marroun (H)

Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, the Netherlands; Department of Psychology, Education and Child Studies - Erasmus University Rotterdam, the Netherlands.

Marisa Estarlich (M)

Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Faculty of Nursing and Chiropody, Universitat de València, Spain.

Mara Gallastegi (M)

BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain.

Llúcia González Safont (LG)

Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain.

Wout Joseph (W)

Department of Information Technology, Ghent University/IMEC, Technologiepark 126, Ghent, 9052, Belgium.

Loreto Santa-Marina (L)

Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain; Department of Health of the Basque Government, Public Health Division of Gipuzkoa, Donostia-San Sebastián, Spain.

Arno Thielens (A)

Department of Information Technology, Ghent University/IMEC, Technologiepark 126, Ghent, 9052, Belgium.

Maties Torrent (M)

Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.

Tanja Vrijkotte (T)

Department of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.

Joe Wiart (J)

Télécom ParisTech, LTCI University Paris Saclay, Chair C2M, Paris, France.

Martin Röösli (M)

Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.

Elisabeth Cardis (E)

ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.

Roel Vermeulen (R)

Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands; School of Public Health, Imperial College London, London, UK.

Martine Vrijheid (M)

ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. Electronic address: martine.vrijheid@isglobal.org.

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