EXTRAPOLATION OF FREQUENCY-DEPENDENT CEILING LIMIT VALUES FOR OCCUPATIONAL EXPOSURE TO MAGNETIC FIELDS BETWEEN 0 AND 1 Hz

2003 ◽  
Vol 84 (6) ◽  
pp. 770-773
Author(s):  
Cristian Goiceanu ◽  
Razvan Danulescu
Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3167
Author(s):  
Flavia Buonaurio ◽  
Maria Luisa Astolfi ◽  
Daniela Pigini ◽  
Giovanna Tranfo ◽  
Silvia Canepari ◽  
...  

Urinary concentrations of 16 different exposure biomarkers to metals were determined at the beginning and at the end of a working shift on a group of workers in the metal carpentry industry. Five different oxidative stress biomarkers were also measured, such as the oxidation products of RNA and DNA metabolized and excreted in the urine. The results of workers exposed to metals were compared to those of a control group. The metal concentrations found in these workers were well below the occupational exposure limit values and exceeded the mean concentrations of the same metals in the urine of the control group by a factor of four at maximum. Barium (Ba), mercury (Hg), lead (Pb) and strontium (Sr) were correlated with the RNA oxidative stress biomarker, 8-oxo-7, 8-dihydroguanosine (8-oxoGuo), which was found able to discriminate exposed workers from controls with a high level of specificity and sensitivity. The power of this early diagnostic technique was assessed by means of the ROC curve. Ba, rubidium (Rb), Sr, tellurium (Te), and vanadium (V) were correlated with the level of the protein oxidation biomarker 3-Nitrotyrosine (3-NO2Tyr), and Ba, beryllium (Be), copper (Cu), and Rb with 5-methylcytidine (5-MeCyt), an epigenetic marker of RNA damage. These effect biomarkers can help in identifying those workers that can be defined as “occupationally exposed” even at low exposure levels, and they can provide information about the impact that such doses have on their health.


Author(s):  
Grace X Chen ◽  
Andrea’t Mannetje ◽  
Jeroen Douwes ◽  
Leonard H Berg ◽  
Neil Pearce ◽  
...  

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.


2016 ◽  
Vol 5 (3) ◽  
pp. 586-596 ◽  
Author(s):  
Anne Grundy ◽  
Shelley A. Harris ◽  
Paul A. Demers ◽  
Kenneth C. Johnson ◽  
David A. Agnew ◽  
...  

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A33.3-A33
Author(s):  
Michelle C Turner ◽  
Esther Gracia-Lavedan ◽  
Gemma Castaño-Vinyals ◽  
Debra J Skene ◽  
Benita Middleton ◽  
...  

BackgroundOccupational exposure to extremely low frequency magnetic fields (ELF-MF) is a suspected cancer risk factor, however, the epidemiological literature is limited and potential biological mechanisms unclear. Night shift work and associated circadian misalignment, leading to decreased melatonin production is also suspected in cancer. It has been suggested that ELF-MF exposure may decrease melatonin production leading to the promotion of cancer development, however previous findings are inconsistent. We assessed ELF-MF exposure and melatonin production in a recent study of male rotating shift workers.MethodsA total of 50 male shift workers rotating in a 3 week night, 3 week evening, and 3 week morning schedule were recruited at a local car manufacturing facility. Personal full-shift measurements of ELF-MF exposure were performed (EMDEX II, 40–800 Hz) and urine samples from all voids over 24 hour collected on two working days (end of 3 week night and end of 3 week morning shifts). Urinary concentrations of 6-sulfatoxymelatonin (aMT6s), the main melatonin metabolite, were measured in all samples (creatinine corrected), with the mesor (24 hour mean) derived based on cosinor models.ResultsArithmetic mean (AM (SD)) and geometric mean (GM (GSD)) ELF-MF levels were 0.05 (0.06) µT and 0.03 (0.02) µT, respectively. Peak production of aMT6s occurred 9 hours later in night compared with morning shifts, though with a similar mesor indicating adaptation. The adjusted mesor varied somewhat by age group and other personal characteristics, and was somewhat lower among those with higher AM and GM ELF-MF levels (i.e. ≥50 th or 75th percentile), with differences ranging from 0.94–1.38 ng/mg creatinine/hour in the morning to 0.96–4.33 in the night shift observed, with some differences significant.ConclusionsOverall, small differences in mean aMT6s levels were observed according to ELF-MF. Workers during the night shift adapted, showing a delay in the peak time of aMT6s production compared to the day shift.


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