Extremely Low Frequency Magnetic Field Exposure and Parkinson’s Disease—A Systematic Review and Meta-Analysis of the Data

Objective: To examine the association between occupational exposure to extremely-low-frequency magnetic fields (ELF-MF) and Parkinson’s disease. Methods: We systematically searched publications reporting risk estimates of Parkinson’s disease in workers exposed to ELF-MF. Summary relative risks were...

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Detalles Bibliográficos
Autores principales: Huss, Anke, Koeman, Tom, Kromhout, Hans, Vermeulen, Roel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4515660/
https://www.ncbi.nlm.nih.gov/pubmed/26133127
http://dx.doi.org/10.3390/ijerph120707348
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author Huss, Anke
Koeman, Tom
Kromhout, Hans
Vermeulen, Roel
author_facet Huss, Anke
Koeman, Tom
Kromhout, Hans
Vermeulen, Roel
author_sort Huss, Anke
collection PubMed
description Objective: To examine the association between occupational exposure to extremely-low-frequency magnetic fields (ELF-MF) and Parkinson’s disease. Methods: We systematically searched publications reporting risk estimates of Parkinson’s disease in workers exposed to ELF-MF. Summary relative risks were obtained with random effects meta-analysis. Results: We included 11 studies. To assign exposure, four studies evaluated occupational records, four used census, interview or questionnaire information and three used death certificates. Risk of Parkinson’s disease was not elevated in workers exposed to ELF-MF with a summary relative risk of 1.05, 95% CI 0.98–1.13. Conclusions: Overall, there was no evidence that the exposure to ELF-MF increases the risk of Parkinson’s disease.
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spelling pubmed-45156602015-07-28 Extremely Low Frequency Magnetic Field Exposure and Parkinson’s Disease—A Systematic Review and Meta-Analysis of the Data Huss, Anke Koeman, Tom Kromhout, Hans Vermeulen, Roel Int J Environ Res Public Health Article Objective: To examine the association between occupational exposure to extremely-low-frequency magnetic fields (ELF-MF) and Parkinson’s disease. Methods: We systematically searched publications reporting risk estimates of Parkinson’s disease in workers exposed to ELF-MF. Summary relative risks were obtained with random effects meta-analysis. Results: We included 11 studies. To assign exposure, four studies evaluated occupational records, four used census, interview or questionnaire information and three used death certificates. Risk of Parkinson’s disease was not elevated in workers exposed to ELF-MF with a summary relative risk of 1.05, 95% CI 0.98–1.13. Conclusions: Overall, there was no evidence that the exposure to ELF-MF increases the risk of Parkinson’s disease. MDPI 2015-06-30 2015-07 /pmc/articles/PMC4515660/ /pubmed/26133127 http://dx.doi.org/10.3390/ijerph120707348 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huss, Anke
Koeman, Tom
Kromhout, Hans
Vermeulen, Roel
Extremely Low Frequency Magnetic Field Exposure and Parkinson’s Disease—A Systematic Review and Meta-Analysis of the Data
title Extremely Low Frequency Magnetic Field Exposure and Parkinson’s Disease—A Systematic Review and Meta-Analysis of the Data
title_full Extremely Low Frequency Magnetic Field Exposure and Parkinson’s Disease—A Systematic Review and Meta-Analysis of the Data
title_fullStr Extremely Low Frequency Magnetic Field Exposure and Parkinson’s Disease—A Systematic Review and Meta-Analysis of the Data
title_full_unstemmed Extremely Low Frequency Magnetic Field Exposure and Parkinson’s Disease—A Systematic Review and Meta-Analysis of the Data
title_short Extremely Low Frequency Magnetic Field Exposure and Parkinson’s Disease—A Systematic Review and Meta-Analysis of the Data
title_sort extremely low frequency magnetic field exposure and parkinson’s disease—a systematic review and meta-analysis of the data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4515660/
https://www.ncbi.nlm.nih.gov/pubmed/26133127
http://dx.doi.org/10.3390/ijerph120707348
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