| Content Provider |
World Health Organization (WHO)-Global Index Medicus |
| Author |
Turner, Michelle C. Benke, Geza Bowman, Joseph D. Figuerola, Jordi Fleming, Sarah Hours, Martine Kincl, Laurel Krewski, Daniel McLean, Dave Parent, Marie-Elise Richardson, Lesley Sadetzki, Siegal Schlaefer, Klaus Schlehofer, Brigitte Schüz, Joachim Siemiatycki, Jack Van Tongeren, Martie Cardis, Elisabeth |
| Spatial Coverage |
Canada Australia France Germany |
| Description |
Author Affiliation: Turner MC ( Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Spain. CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain. McLaughlin Centre for Population Health Risk Assessment, Institute of Population Health, University of Otta); Benke G ( Monash University, Melbourne, Australia.); Bowman JD ( National Institute for Occupational Safety and Health, Cincinnati, Ohio.); Figuerola J ( Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Spain. CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.); Fleming S ( University of Leeds, Leeds, United Kingdom.); Hours M ( Unité Mixte de Recherche Epidémiologique Transport Travail Environnement Université Lyon 1/IFSTTAR, Université de Lyon, Lyon, France.); Kincl L ( Oregon State University, Corvallis, Oregon.); Krewski D ( McLaughlin Centre for Population Health Risk Assessment, Institute of Population Health, University of Ottawa, Ottawa, Canada. Department of Epidemiology and Community Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada.); McLean D ( Massey University, Wellington, New Zealand.); Parent ME ( INRS-Institut Armand-Frappier, Université du Québec, Laval, Canada.); Richardson L ( University of Montreal Hospital Research Centre, Montreal, Canada.); Sadetzki S ( Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. The Cancer and Radiation Epidemiology Unit, The Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel.); Schlaefer K ( Unit of Environmental Epidemiology, German Cancer Research Center, Heidelberg, Germany.); Schlehofer B ( Unit of Environmental Epidemiology, German Cancer Research Center, Heidelberg, Germany.); Schüz J ( International Agency for Research on Cancer (IARC), Section of Environment and Radiation, Lyon, France.); Siemiatycki J ( University of Montreal Hospital Research Centre, Montreal, Canada.); van Tongeren M ( Institute of Occupational Medicine, Edinburgh, United Kingdom.); Cardis E ( Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Spain. CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.) |
| Abstract |
BACKGROUND: Occupational exposure to extremely low-frequency magnetic fields (ELF) is a suspected risk factor for brain tumors, however the literature is inconsistent. Few studies have assessed whether ELF in different time windows of exposure may be associated with specific histologic types of brain tumors. This study examines the association between ELF and brain tumors in the large-scale INTEROCC study. METHODS: Cases of adult primary glioma and meningioma were recruited in seven countries (Australia, Canada, France, Germany, Israel, New Zealand, and the United Kingdom) between 2000 and 2004. Estimates of mean workday ELF exposure based on a job exposure matrix were assigned. Estimates of cumulative exposure, average exposure, maximum exposure, and exposure duration were calculated for the lifetime, and 1 to 4, 5 to 9, and 10+ years before the diagnosis/reference date. RESULTS: There were 3,761 included brain tumor cases (1,939 glioma and 1,822 meningioma) and 5,404 population controls. There was no association between lifetime cumulative ELF exposure and glioma or meningioma risk. However, there were positive associations between cumulative ELF 1 to 4 years before the diagnosis/reference date and glioma [odds ratio (OR) ≥ 90th percentile vs. < 25th percentile, 1.67; 95% confidence interval (CI), 1.36-2.07; PLinear trend < 0.0001], and, somewhat weaker associations with meningioma (OR ≥ 90th percentile vs. < 25th percentile, 1.23; 95% CI, 0.97-1.57; PLinear trend = 0.02). CONCLUSIONS: Results showed positive associations between ELF in the recent past and glioma. IMPACT: Occupational ELF exposure may play a role in the later stages (promotion and progression) of brain tumorigenesis. |
| File Format |
HTM / HTML |
| ISSN |
10559965 |
| e-ISSN |
15387755 |
| DOI |
10.1158/1055-9965.EPI-14-0102 |
| Journal |
Cancer Epidemiology Biomarkers & Prevention |
| Issue Number |
9 |
| Volume Number |
23 |
| Language |
English |
| Publisher |
American Association for Cancer Research |
| Publisher Date |
2014-09-01 |
| Publisher Place |
United States |
| Access Restriction |
Open |
| Subject Keyword |
Discipline Cancer epidemiology Brain Neoplasms Epidemiology Magnetic Fields Occupational Diseases Occupational Exposure Statistics & Numerical Data Etiology Canada Germany Adverse Effects Risk Factors Research Support, N.i.h., Extramural Research Support, Non-u.s. Gov't |
| Content Type |
Text |
| Resource Type |
Article |
| Subject |
Epidemiology Oncology |
