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Systematic Review of the Exposure Assessment and Epidemiology of High-Frequency Voltage Transients

Conclusions of epidemiological studies describing adverse health effects as a result of exposure to electromagnetic fields are not unanimous and often contradictory. It has been proposed that an explanation could be that high-frequency voltage transients [dirty electricity (DE)] which are superimpos...

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Autores principales: de Vocht, Frank, Olsen, Robert G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4810027/
https://www.ncbi.nlm.nih.gov/pubmed/27066469
http://dx.doi.org/10.3389/fpubh.2016.00052
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author de Vocht, Frank
Olsen, Robert G.
author_facet de Vocht, Frank
Olsen, Robert G.
author_sort de Vocht, Frank
collection PubMed
description Conclusions of epidemiological studies describing adverse health effects as a result of exposure to electromagnetic fields are not unanimous and often contradictory. It has been proposed that an explanation could be that high-frequency voltage transients [dirty electricity (DE)] which are superimposed on 50/60-Hz fields, but are generally not measured, are the real causal agent. DE has been linked to many different health and wellbeing effects, and on the basis of this, an industry selling measurement and filtering equipment is growing. We reviewed the available peer-reviewed evidence for DE as a causal agent for adverse human health effects. A literature search was performed in the Cochrane Library, PubMed, Web of Science, Google Scholar, and additional publications were obtained from reference lists and from the gray literature. This search resulted in 25 publications; 16 included primary epidemiological and/or exposure data. All studies were reviewed by both authors independently, and including a re-review of studies included in a review of data available up to July 31, 2009 by one of the authors. DE has been measured differently in different studies and comparison data are not available. There is no evidence for 50 Graham/Stetzer (GS) units as a safety threshold being anything more than arbitrary. The epidemiological evidence on human health effects of DE is primarily based on, often re-used, case descriptions. Quantitative evidence relies on self-reporting in non-blinded interventions, ecological associations, and one cross-sectional cohort study of cancer risk, which does not point to DE as the causal agent. The available evidence for DE as an exposure affecting human health at present does not stand up to scientific scrutiny.
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spelling pubmed-48100272016-04-08 Systematic Review of the Exposure Assessment and Epidemiology of High-Frequency Voltage Transients de Vocht, Frank Olsen, Robert G. Front Public Health Public Health Conclusions of epidemiological studies describing adverse health effects as a result of exposure to electromagnetic fields are not unanimous and often contradictory. It has been proposed that an explanation could be that high-frequency voltage transients [dirty electricity (DE)] which are superimposed on 50/60-Hz fields, but are generally not measured, are the real causal agent. DE has been linked to many different health and wellbeing effects, and on the basis of this, an industry selling measurement and filtering equipment is growing. We reviewed the available peer-reviewed evidence for DE as a causal agent for adverse human health effects. A literature search was performed in the Cochrane Library, PubMed, Web of Science, Google Scholar, and additional publications were obtained from reference lists and from the gray literature. This search resulted in 25 publications; 16 included primary epidemiological and/or exposure data. All studies were reviewed by both authors independently, and including a re-review of studies included in a review of data available up to July 31, 2009 by one of the authors. DE has been measured differently in different studies and comparison data are not available. There is no evidence for 50 Graham/Stetzer (GS) units as a safety threshold being anything more than arbitrary. The epidemiological evidence on human health effects of DE is primarily based on, often re-used, case descriptions. Quantitative evidence relies on self-reporting in non-blinded interventions, ecological associations, and one cross-sectional cohort study of cancer risk, which does not point to DE as the causal agent. The available evidence for DE as an exposure affecting human health at present does not stand up to scientific scrutiny. Frontiers Media S.A. 2016-03-29 /pmc/articles/PMC4810027/ /pubmed/27066469 http://dx.doi.org/10.3389/fpubh.2016.00052 Text en Copyright © 2016 de Vocht and Olsen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
de Vocht, Frank
Olsen, Robert G.
Systematic Review of the Exposure Assessment and Epidemiology of High-Frequency Voltage Transients
title Systematic Review of the Exposure Assessment and Epidemiology of High-Frequency Voltage Transients
title_full Systematic Review of the Exposure Assessment and Epidemiology of High-Frequency Voltage Transients
title_fullStr Systematic Review of the Exposure Assessment and Epidemiology of High-Frequency Voltage Transients
title_full_unstemmed Systematic Review of the Exposure Assessment and Epidemiology of High-Frequency Voltage Transients
title_short Systematic Review of the Exposure Assessment and Epidemiology of High-Frequency Voltage Transients
title_sort systematic review of the exposure assessment and epidemiology of high-frequency voltage transients
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4810027/
https://www.ncbi.nlm.nih.gov/pubmed/27066469
http://dx.doi.org/10.3389/fpubh.2016.00052
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