Literature DB >> 18245151

Occupational exposure to extremely low frequency electric and magnetic fields and Alzheimer disease: a meta-analysis.

Ana M García1, Antonio Sisternas, Santiago Perez Hoyos.   

Abstract

BACKGROUND: Among potential environmental risk factors for Alzheimer disease (AD), occupational exposures have received some attention, including extremely low frequency electromagnetic fields (ELF-EMF). A systematic review and meta-analysis of published epidemiological studies on this subject was carried out.
METHODS: The search was concluded in April 2006. Bibliographic databases consulted included PubMed, EMBASE, Cochrane Library and NIOSHTIC2. Pooled estimates were obtained using random-effects meta-analysis. Sources of heterogeneity between studies were explored, as was publication bias.
RESULTS: Fourteen different studies (nine case-control and five cohort studies) accomplished inclusion criteria. All these studies followed standardized criteria for AD diagnosis and most of them obtained quantitative estimates of exposure. Pooled estimates suggest an increased risk of AD from case-control studies (OR(pooled) 2.03; 95% CI 1.38-3.00) and from cohort studies (RR(pooled) 1.62; 95% CI 1.16-2.27), with moderate to high statistical heterogeneity in both cases (respectively, I(2) = 58% and I(2) = 54%). Cohort studies showed consistently increased risks for exposed men (RR(pooled) 2.05; 95% CI 1.51-2.80, I(2) = 0%). Evidence of dose-response relationship was not present. Test for publication bias suggests small study effects, mostly for case-control studies.
CONCLUSIONS: Available epidemiological evidence suggests an association between occupational exposure to ELF-EMF and AD. However, some limitations affecting the results from this meta-analysis should be considered. More information on relevant duration and time windows of exposure, on biological mechanisms for this potential association and on interactions between electromagnetic fields exposure and established risk factors for AD is needed.

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Mesh:

Year:  2008        PMID: 18245151     DOI: 10.1093/ije/dym295

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  27 in total

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2.  The monitoring results of electromagnetic radiation of 110-kV high-voltage lines in one urban location in Chongqing P.R. China.

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3.  Experimental model for ELF-EMF exposure: Concern for human health.

Authors:  C D'Angelo; E Costantini; M A Kamal; M Reale
Journal:  Saudi J Biol Sci       Date:  2014-08-06       Impact factor: 4.219

4.  Occupational exposure to extremely low-frequency magnetic fields and risk for central nervous system disease: an update of a Danish cohort study among utility workers.

Authors:  Camilla Pedersen; Aslak Harbo Poulsen; Naja Hulvej Rod; Patrizia Frei; Johnni Hansen; Kathrine Grell; Ole Raaschou-Nielsen; Joachim Schüz; Christoffer Johansen
Journal:  Int Arch Occup Environ Health       Date:  2017-04-20       Impact factor: 3.015

5.  Work-related exposure to extremely low-frequency magnetic fields and dementia: results from the population-based study of dementia in Swedish twins.

Authors:  Ross Andel; Michael Crowe; Maria Feychting; Nancy L Pedersen; Laura Fratiglioni; Boo Johansson; Margaret Gatz
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-07-09       Impact factor: 6.053

6.  Memory loss risk assessment for the students nearby high-voltage power lines-a case study.

Authors:  Mojgan Ghadamgahi; Mohammad Reza Monazzam; Monireh Hosseini
Journal:  Environ Monit Assess       Date:  2016-05-18       Impact factor: 2.513

7.  Electromagnetic fields, oxidative stress, and neurodegeneration.

Authors:  Claudia Consales; Caterina Merla; Carmela Marino; Barbara Benassi
Journal:  Int J Cell Biol       Date:  2012-09-09

Review 8.  Does ionizing radiation influence Alzheimer's disease risk?

Authors:  Nasrin Begum; Bing Wang; Masahiko Mori; Guillaume Vares
Journal:  J Radiat Res       Date:  2012-08-07       Impact factor: 2.724

9.  The role of the JAK2-STAT3 pathway in pro-inflammatory responses of EMF-stimulated N9 microglial cells.

Authors:  Xuesen Yang; Genlin He; Yutong Hao; Chunhai Chen; Maoquan Li; Yuan Wang; Guangbin Zhang; Zhengping Yu
Journal:  J Neuroinflammation       Date:  2010-09-09       Impact factor: 8.322

10.  Risks for central nervous system diseases among mobile phone subscribers: a Danish retrospective cohort study.

Authors:  Joachim Schüz; Gunhild Waldemar; Jørgen H Olsen; Christoffer Johansen
Journal:  PLoS One       Date:  2009-02-05       Impact factor: 3.240

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