Residential exposure to ultra high frequency electromagnetic fields emitted by Global System for Mobile (GSM) antennas and amyotrophic lateral sclerosis incidence: A geo-epidemiological population-based study.

Amyotrophic lateral sclerosis Global system for mobile (GSM) antennas Population-based study Risk Ultra-high frequency electromagnetic fields

Journal

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

Informations de publication

Date de publication:
09 2019
Historique:
received: 07 02 2019
revised: 04 06 2019
accepted: 05 06 2019
pubmed: 22 6 2019
medline: 1 5 2020
entrez: 22 6 2019
Statut: ppublish

Résumé

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease of unknown etiology. Mobile communication antennas have increased over the last few decades. Consequently, there has been a steady increase in environmental exposure to ultra high frequency electromagnetic fields (UHF-EMFs) emitted by Global System for Mobile (GSM) communication antennas, which raises concerns about possible health risks in the general population. We aimed to evaluate the relationship between residential exposure to UHF-EMFs generated by GSM antennas and the risk of ALS in general population. A geo-epidemiological population-based study was performed in Limousin (France). ALS incident cases were identified through a register (FRALim, 2000-2012 period). A model to estimate UHF-EMF exposure was developed based on the distance and the power of GSM antennas. Exposure to multiple emissions from multiple directions was considered. A non-cumulative and a cumulative model were established. A geographic information system integrated the raster model of exposure, and the residential distribution of observed and expected cases. A generalized linear model was performed to test the association. Overall, 312 ALS cases were included. We estimated exposures below 1.72 V/m in urban areas and below 1.23 V/m in rural areas for 90% of the population. A gradient effect between UHF-EMF exposure and ALS incidence was apparent with a statistically significant trend. A significant increased risk of ALS was observed between the non-exposure category and the highest exposure category, with a relative risk of 1.78 (95% CI: 1.28-2.48) in the non-cumulative model and 1.83 (95% CI: 1.32-2.54) in the cumulative model. Our results suggest a possible association between residential UHF-EMF exposure and ALS. Ecological studies are a means of generating hypotheses. Further studies are needed to clarify the potential role of EMFs on neurodegeneration.

Identifiants

pubmed: 31226626
pii: S0013-9351(19)30320-2
doi: 10.1016/j.envres.2019.108525
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108525

Investigateurs

B Marin (B)
P Couratier (P)
P M Preux (PM)
F Boumédiene (F)
G Lautrette (G)
M Penoty (M)
M Raymondeau-Moustafa (M)

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Jaime Luna (J)

INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, UMR 1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, 87000 Limoges, France. Electronic address: jaime-andres.luna-mendez@unilim.fr.

Jean-Philippe Leleu (JP)

INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, UMR 1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, 87000 Limoges, France.

Pierre-Marie Preux (PM)

INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, UMR 1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, 87000 Limoges, France; CHU Limoges, Centre d'Epidémiologie de Biostatistique et de Méthodologie de la Recherche, Limoges, France.

Philippe Corcia (P)

Centre de compétence SLA-fédération Tours-Limoges, CHU de Tours, 37044 Tours cedex 9, France.

Philippe Couratier (P)

INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; CHU Limoges, Service de Neurologie, Centre expert ALS, Limoges, France.

Benoit Marin (B)

INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, UMR 1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, 87000 Limoges, France; CHU Limoges, Centre d'Epidémiologie de Biostatistique et de Méthodologie de la Recherche, Limoges, France.

Farid Boumediene (F)

INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, UMR 1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, 87000 Limoges, France. Electronic address: farid.boumediene@unilim.fr.

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