학술논문
Occupational exposure to extremely low-frequency magnetic fields and follicular lymphoma risk: a family case-control study.
Document Type
Academic Journal
Author
Odutola MK; Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.; van Leeuwen MT; Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.; Bruinsma FJ; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia.; Benke G; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.; Turner MC; ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.; Department of Global Health, Pompeu Fabra University (UPF), Barcelona, Spain.; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.; Trotman J; Concord Repatriation General Hospital and University of Sydney, Concord, New South Wales, Australia.; Turner J; Anatomical Pathology, Douglass Hanly Moir Pathology, Sydney, New South Wales, Australia.; Department of Clinical Medicine, Faculty of Medicine, Health and Human Science, Macquarie University, Sydney, New South Wales, Australia.; Seymour JF; Royal Melbourne Hospital, Peter MacCallum Cancer Centre and University of Melbourne, Melbourne, Victoria, Australia.; Prince HM; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia.; Milliken ST; Haematology Department, St. Vincent's Hospital, Sydney, New South Wales, Australia.; Tiley C; Cancer Day Unit, Gosford Hospital, Gosford, New South Wales, Australia.; Hertzberg M; Department of Haematology, Prince of Wales Hospital and University of New South Wales, Sydney, New South Wales, Australia.; Roncolato F; Clinical Haematology, St. George Hospital, Kogarah, New South Wales, Australia.; Opat S; Clinical Haematology, Monash Health, Clayton, Victoria, Australia.; Lindeman R; Clinical Operations, New South Wales Health Pathology, Sydney, New South Wales, Australia.; Verner E; Concord Repatriation General Hospital and University of Sydney, Concord, New South Wales, Australia.; Underhill CR; Border Medical Oncology Research Unit, Albury, New South Wales, Australia.; Cardis E; ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.; Department of Global Health, Pompeu Fabra University (UPF), Barcelona, Spain.; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.; Giles G; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.; Vajdic CM; Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia claire.vajdic@unsw.edu.au.; The Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
Source
Publisher: BMJ Pub. Group Country of Publication: England NLM ID: 9422759 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1470-7926 (Electronic) Linking ISSN: 13510711 NLM ISO Abbreviation: Occup Environ Med Subsets: MEDLINE
Subject
Language
English
Abstract
Objectives: We aimed to examine the relationship between occupational exposure to extremely low-frequency magnetic fields (ELF-MFs) and follicular lymphoma (FL) risk.
Methods: We conducted a family case-control study between 2011 and 2016 in Australia and included 681 cases. Controls were either a family member of cases (related (n=294), unrelated (n=179)) or were unrelated recruited for a similarly designed Australian multiple myeloma study (n=711). We obtained detailed job histories using lifetime work calendars. We assigned exposure to ELF-MFs using an enhanced job exposure matrix, with a lag period of 10 years. We examined associations with FL risk using logistic regression accounting for relatedness between cases and controls. We performed sensitivity analyses including by control type, by sex, complete case analyses, ELF-MF exposure percentiles in addition to quartiles, ELF-MF exposure in the maximum exposed job, a shorter lag period (1 year) and the cumulative exposure in the most recent time period (1-9 years).
Results: We observed no association with the average intensity, duration or lifetime cumulative exposure to occupational ELF-MF exposure in the primary or sensitivity analyses.
Conclusions: Our findings do not support an association between occupational ELF-MF exposure and FL risk. Although the inclusion of family members as part of the larger control group may have biased our risk estimates towards the null, findings were similar in sensitivity analyses restricted to cases and unrelated controls. Further research incorporating enhanced exposure assessment to ELF-MF is warranted to inform occupational safety regulations and any potential role in lymphomagenesis.
Competing Interests: Competing interests: None declared.
(© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)
Methods: We conducted a family case-control study between 2011 and 2016 in Australia and included 681 cases. Controls were either a family member of cases (related (n=294), unrelated (n=179)) or were unrelated recruited for a similarly designed Australian multiple myeloma study (n=711). We obtained detailed job histories using lifetime work calendars. We assigned exposure to ELF-MFs using an enhanced job exposure matrix, with a lag period of 10 years. We examined associations with FL risk using logistic regression accounting for relatedness between cases and controls. We performed sensitivity analyses including by control type, by sex, complete case analyses, ELF-MF exposure percentiles in addition to quartiles, ELF-MF exposure in the maximum exposed job, a shorter lag period (1 year) and the cumulative exposure in the most recent time period (1-9 years).
Results: We observed no association with the average intensity, duration or lifetime cumulative exposure to occupational ELF-MF exposure in the primary or sensitivity analyses.
Conclusions: Our findings do not support an association between occupational ELF-MF exposure and FL risk. Although the inclusion of family members as part of the larger control group may have biased our risk estimates towards the null, findings were similar in sensitivity analyses restricted to cases and unrelated controls. Further research incorporating enhanced exposure assessment to ELF-MF is warranted to inform occupational safety regulations and any potential role in lymphomagenesis.
Competing Interests: Competing interests: None declared.
(© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)