Occupational exposure to power frequency magnetic fields and risk of non-Hodgkin lymphoma
Objectives: To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power frequencies of 50/60 Hz. Methods: The study population consisted of 694 cases of NHL, first diagnosed between 1 January 2000 and 31 Augu...
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Published in | Occupational and environmental medicine (London, England) Vol. 64; no. 1; pp. 25 - 29 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
BMJ Publishing Group Ltd
01.01.2007
BMJ Publishing Group BMJ Publishing Group LTD BMJ Group |
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Online Access | Get full text |
ISSN | 1351-0711 1470-7926 1470-7926 |
DOI | 10.1136/oem.2005.022848 |
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Abstract | Objectives: To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power frequencies of 50/60 Hz. Methods: The study population consisted of 694 cases of NHL, first diagnosed between 1 January 2000 and 31 August 2001, and 694 controls from two regions in Australia, matched by age, sex and region of residence. A detailed occupational history was given by each subject. Exposure to power frequency magnetic fields was estimated using a population-based JEM which was specifically developed in the United States to assess occupational magnetic field exposure. The cumulative exposure distribution was divided into quartiles and adjusted odds ratios were calculated using the lowest quartile as the referent group. Results: For the total work history, the odds ratio (OR) for workers in the upper quartile of exposure was 1.48 (95% CI 1.02 to 2.16) compared to the referent (p value for trend was 0.006). When the exposure was lagged by 5 years the OR was 1.59 (95% CI 1.07 to 2.36) (p value for trend was 0.003). Adjusting for other occupational exposures did not significantly alter the results. Conclusions: These findings provide weak support for the hypothesis that occupational exposure to 50/60 Hz magnetic fields increases the risk of NHL. |
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AbstractList | OBJECTIVES: To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power frequencies of 50/60 Hz. METHODS: The study population consisted of 694 cases of NHL, first diagnosed between 1 January 2000 and 31 August 2001, and 694 controls from two regions in Australia, matched by age, sex and region of residence. A detailed occupational history was given by each subject. Exposure to power frequency magnetic fields was estimated using a population-based JEM which was specifically developed in the United States to assess occupational magnetic field exposure. The cumulative exposure distribution was divided into quartiles and adjusted odds ratios were calculated using the lowest quartile as the referent group. RESULTS: For the total work history, the odds ratio (OR) for workers in the upper quartile of exposure was 1.48 (95% CI 1.02 to 2.16) compared to the referent (p value for trend was 0.006). When the exposure was lagged by 5 years the OR was 1.59 (95% CI 1.07 to 2.36) (p value for trend was 0.003). Adjusting for other occupational exposures did not significantly alter the results. CONCLUSIONS: These findings provide weak support for the hypothesis that occupational exposure to 50/60 Hz magnetic fields increases the risk of NHL. To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power frequencies of 50/60 Hz. The study population consisted of 694 cases of NHL, first diagnosed between 1 January 2000 and 31 August 2001, and 694 controls from two regions in Australia, matched by age, sex and region of residence. A detailed occupational history was given by each subject. Exposure to power frequency magnetic fields was estimated using a population-based JEM which was specifically developed in the United States to assess occupational magnetic field exposure. The cumulative exposure distribution was divided into quartiles and adjusted odds ratios were calculated using the lowest quartile as the referent group. For the total work history, the odds ratio (OR) for workers in the upper quartile of exposure was 1.48 (95% CI 1.02 to 2.16) compared to the referent (p value for trend was 0.006). When the exposure was lagged by 5 years the OR was 1.59 (95% CI 1.07 to 2.36) (p value for trend was 0.003). Adjusting for other occupational exposures did not significantly alter the results. These findings provide weak support for the hypothesis that occupational exposure to 50/60 Hz magnetic fields increases the risk of NHL. Objectives: To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power frequencies of 50/60 Hz. Methods: The study population consisted of 694 cases of NHL, first diagnosed between 1 January 2000 and 31 August 2001, and 694 controls from two regions in Australia, matched by age, sex and region of residence. A detailed occupational history was given by each subject. Exposure to power frequency magnetic fields was estimated using a population-based JEM which was specifically developed in the United States to assess occupational magnetic field exposure. The cumulative exposure distribution was divided into quartiles and adjusted odds ratios were calcuated using the lowest quartile as the referent group. Results: For the total work history, the odds ratio (OR) for workers in the upper quartile of exposure was 1.48 (95% CI 1.02 to 2.16) compared to the referent (p value for trend was 0.006). When the exposure was lagged by 5 years the OR was 1.59 (95% CI 1.07 to 2.36) (p value for trend was 0.003). Adjusting for other occupational exposures did not significantly alter the results. Conclusions: These findings provide weak support for the hypothesis that occupational exposure to 50/60 Hz magnetic fields increases the risk of NHL. To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power frequencies of 50/60 Hz.OBJECTIVESTo investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power frequencies of 50/60 Hz.The study population consisted of 694 cases of NHL, first diagnosed between 1 January 2000 and 31 August 2001, and 694 controls from two regions in Australia, matched by age, sex and region of residence. A detailed occupational history was given by each subject. Exposure to power frequency magnetic fields was estimated using a population-based JEM which was specifically developed in the United States to assess occupational magnetic field exposure. The cumulative exposure distribution was divided into quartiles and adjusted odds ratios were calculated using the lowest quartile as the referent group.METHODSThe study population consisted of 694 cases of NHL, first diagnosed between 1 January 2000 and 31 August 2001, and 694 controls from two regions in Australia, matched by age, sex and region of residence. A detailed occupational history was given by each subject. Exposure to power frequency magnetic fields was estimated using a population-based JEM which was specifically developed in the United States to assess occupational magnetic field exposure. The cumulative exposure distribution was divided into quartiles and adjusted odds ratios were calculated using the lowest quartile as the referent group.For the total work history, the odds ratio (OR) for workers in the upper quartile of exposure was 1.48 (95% CI 1.02 to 2.16) compared to the referent (p value for trend was 0.006). When the exposure was lagged by 5 years the OR was 1.59 (95% CI 1.07 to 2.36) (p value for trend was 0.003). Adjusting for other occupational exposures did not significantly alter the results.RESULTSFor the total work history, the odds ratio (OR) for workers in the upper quartile of exposure was 1.48 (95% CI 1.02 to 2.16) compared to the referent (p value for trend was 0.006). When the exposure was lagged by 5 years the OR was 1.59 (95% CI 1.07 to 2.36) (p value for trend was 0.003). Adjusting for other occupational exposures did not significantly alter the results.These findings provide weak support for the hypothesis that occupational exposure to 50/60 Hz magnetic fields increases the risk of NHL.CONCLUSIONSThese findings provide weak support for the hypothesis that occupational exposure to 50/60 Hz magnetic fields increases the risk of NHL. Objectives: To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power frequencies of 50/60 Hz. Methods: The study population consisted of 694 cases of NHL, first diagnosed between 1 January 2000 and 31 August 2001, and 694 controls from two regions in Australia, matched by age, sex and region of residence. A detailed occupational history was given by each subject. Exposure to power frequency magnetic fields was estimated using a population-based JEM which was specifically developed in the United States to assess occupational magnetic field exposure. The cumulative exposure distribution was divided into quartiles and adjusted odds ratios were calculated using the lowest quartile as the referent group. Results: For the total work history, the odds ratio (OR) for workers in the upper quartile of exposure was 1.48 (95% CI 1.02 to 2.16) compared to the referent (p value for trend was 0.006). When the exposure was lagged by 5 years the OR was 1.59 (95% CI 1.07 to 2.36) (p value for trend was 0.003). Adjusting for other occupational exposures did not significantly alter the results. Conclusions: These findings provide weak support for the hypothesis that occupational exposure to 50/60 Hz magnetic fields increases the risk of NHL. |
Author | Armstrong, B Vajdic, C M Kaldor, J Karipidis, K Grulich, A Benke, G Hughes, A M Kricker, A Yost, M Fritschi, L Sim, M |
AuthorAffiliation | K Karipidis , G Benke , M Sim , Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia B Armstrong , A Kricker , School of Public Health, University of Sydney, Sydney, NSW, Australia L Fritschi , Western Australian Institute for Medical Research, Perth, Western Australia, Australia M Yost , Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA A M Hughes , Department of Health Sciences, University of York, Heslington, York, UK A Grulich , C M Vajdic , J Kaldor , National Centre in HIV Epidemiology and Clinical Research, University of New South Wales, Sydney, New South Wales, Australia |
AuthorAffiliation_xml | – name: B Armstrong , A Kricker , School of Public Health, University of Sydney, Sydney, NSW, Australia – name: M Yost , Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA – name: A M Hughes , Department of Health Sciences, University of York, Heslington, York, UK – name: L Fritschi , Western Australian Institute for Medical Research, Perth, Western Australia, Australia – name: K Karipidis , G Benke , M Sim , Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia – name: A Grulich , C M Vajdic , J Kaldor , National Centre in HIV Epidemiology and Clinical Research, University of New South Wales, Sydney, New South Wales, Australia |
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CitedBy_id | crossref_primary_10_3390_ijms23031339 crossref_primary_10_1016_S1155_1984_11_56680_4 crossref_primary_10_1590_S1415_790X2009000200002 crossref_primary_10_1136_oemed_2021_108120 crossref_primary_10_1016_j_envres_2018_03_022 crossref_primary_10_1016_S1155_1925_11_71889_4 |
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Notes | istex:86CB0E94F7D175D7B2DC18D7BDCEE6FDBF2C66FC href:oemed-64-25.pdf local:0640025 Correspondence to: MrK Karipidis 619 Lower Plenty Road, Yallambie, VIC 3085, Australia; ken.karipidis@arpansa.gov.au ark:/67375/NVC-5006G8LD-T PMID:16551758 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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Snippet | Objectives: To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the... Objectives: To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the... To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the power... OBJECTIVES: To investigate the risk of non-Hodgkin lymphoma (NHL) using a job-exposure matrix (JEM) to assess exposure to occupational magnetic fields at the... |
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SubjectTerms | Adult Aged Australian Capital Territory - epidemiology Case control studies Chemical hazards Electric utilities Electromagnetic Fields - adverse effects Environmental Monitoring - methods Epidemiological Monitoring Epidemiology Exposure Female Health risk assessment Humans JEM job exposure matrix Lymphoma Lymphoma, Non-Hodgkin - epidemiology Lymphoma, Non-Hodgkin - etiology Magnetic fields Male Middle Aged Neoplasms, Radiation-Induced - epidemiology Neoplasms, Radiation-Induced - etiology New South Wales - epidemiology NHL Non Hodgkin lymphoma Occupational Diseases - epidemiology Occupational Diseases - etiology occupational exposure Occupational Exposure - adverse effects Occupational Exposure - analysis Occupations Original Pesticides Predisposing factors Socioeconomic factors Solvents Studies |
Title | Occupational exposure to power frequency magnetic fields and risk of non-Hodgkin lymphoma |
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