Association between parental occupational exposure to extremely low frequency magnetic fields and childhood nervous system tumors risk: A meta-analysis

2018 ◽  
Vol 642 ◽  
pp. 1406-1414 ◽  
Author(s):  
Liling Su ◽  
Chuning Zhao ◽  
Yumin Jin ◽  
Ying Lei ◽  
Liqin Lu ◽  
...  
Keyword(s):  
Nervous System ◽  
Occupational Exposure ◽  
Magnetic Fields ◽  
Meta Analysis ◽  
Low Frequency ◽  
Nervous System Tumors ◽  
Extremely Low Frequency ◽  
Parental Occupational Exposure

scholarly journals O1B.2 Parental occupational exposure to extremely low-frequency magnetic fields and the risk of leukaemia in the offspring

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A5.1-A5
Author(s):  
Madar Talibov
Keyword(s):  
Occupational Exposure ◽  
Magnetic Fields ◽  
Low Frequency ◽  
Developed Countries ◽  
Exposure Level ◽  
Childhood Leukaemia ◽  
Extremely Low Frequency ◽  
Parental Occupational Exposure ◽  
Meta Analyses ◽  
Analytical Approaches

BackgroundLeukaemia is the most common cancer diagnosed in children worldwide, accounting for about one third of all paediatric malignancies in economically developed countries. Despite extensive research, the aetiology of this cancer remains largely unknown. Previous studies suggested that parental occupational exposure to extremely low-frequency magnetic fields (ELF-MF) may increase leukaemia risk in the offspring.ObjectiveWe aimed to evaluate the association of parental occupational exposure to ELF-MF with the risk of acute lymphoblastic leukaemia (ALL) and acute myeloid leukaemia (AML) in their offspring.MethodsWe pooled data from 11 case-control studies participating in the Childhood Leukaemia International Consortium (CLIC). The studies included 9723 childhood leukaemia cases and 17 099 controls. Data on parental job history and other characteristics of the study population were collected by questionnaires and interviews, except for the Finnish study where data was obtained from population registries and censuses. Parental occupational ELF-MF exposure was estimated by linking job histories to an independently developed international ELF-MF job-exposure matrix. Logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (95% CI). We employed two analytical approaches to obtain summary risk estimates. First, we conducted pooled analyses of all studies combined. Second, we summarized ORs from individual studies in meta-analyses.ResultsThe summary OR estimates from pooled analyses for paternal ELF-MF exposure at conception were 1.04 (95% CI 0.95–1.13) for ALL and 1.06 (95% CI 0.87–1.29) for AML, at >0.2 microtesla (µT) compared to ≤0.2 µT. Corresponding estimates for maternal ELF-MF exposure during pregnancy, using again the 0.2 µT cut-off, were 1.00 (95% CI 0.89–1.12) for ALL and 0.85 (95% CI 0.61–1.16) for AML. No trends with increasing exposure level were evident. Furthermore, no associations were observed in the meta-analyses.ConclusionOur study did not find any associations between parental occupational ELF-MF exposure and childhood leukaemia.

Occupational Exposure to Electric Shocks and Extremely Low-Frequency Magnetic Fields and Motor Neurone Disease

2020 ◽  
Author(s):  
Grace X Chen ◽  
Andrea’t Mannetje ◽  
Jeroen Douwes ◽  
Leonard H Berg ◽  
Neil Pearce ◽  
...  
Keyword(s):  
Occupational Exposure ◽  
Magnetic Fields ◽  
Low Frequency ◽  
Population Based ◽  
Motor Neurone ◽  
Motor Neurone Disease ◽  
Cumulative Exposure ◽  
Spine Injury ◽  
Extremely Low Frequency ◽  
Electric Shocks

Abstract In a New Zealand population-based case-control study we assessed associations with occupational exposure to electric shocks, extremely low-frequency magnetic fields (ELF-MF) and motor neurone disease using job-exposure matrices to assess exposure. Participants were recruited between 2013 and 2016. Associations with ever/never, duration, and cumulative exposure were assessed using logistic regression adjusted for age, sex, ethnicity, socioeconomic status, education, smoking, alcohol consumption, sports, head or spine injury and solvents, and mutually adjusted for the other exposure. All analyses were repeated stratified by sex. An elevated risk was observed for having ever worked in a job with potential for electric shocks (odds ratio (OR)=1.35, 95% confidence interval (CI): 0.98, 1.86), with the strongest association for the highest level of exposure (OR=2.01, 95%CI: 1.31, 3.09). Analysis by duration suggested a non-linear association: risk was increased for both short-duration (<3 years) (OR= 4.69, 95%CI: 2.25, 9.77) and long-duration in a job with high level of electric shock exposure (>24 years; OR=1.88; 95%CI: 1.05, 3.36), with less pronounced associations for intermediate durations. No association with ELF-MF was found. Our findings provide support for an association between occupational exposure to electric shocks and motor neurone disease but did not show associations with exposure to work-related ELF-MF.

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