ID Number		1785
Study Type		Epidemiology
Model		RF exposure and association with tumors (brain tumors, parotid gland tumors, etc).
Details		Glioma cases (n = 414 + 422 controls) identified between July 1987 - December 1991 were evaluated for occupation exposure to ionizing and non-ionizing radiation using questionnaire based information. Exposure was estimated using a) a job matrix developed by the Finnish Institute of Occupational Health, b) self reported exposure, and c) assessment by an industrial hygenist. When stratified into low, mid, and high exposure groups, the odds ratios were 0.57 95%CI 0.16-1.96, 1.80 95% CI 0.53-6.13, and 0.89 95% CI 0.28-2.81 respectively. The authors conclude no statistically significant association with occupational RF exposure. There was also no association with occupational ELF, UV or ionizing radiation exposure. AUTHORS' ABSTRACT: Karipidis et al. 2018 (IEEE #7065): Objective Some studies have reported increasing trends in certain brain tumours and a possible link with mobile phone use has been suggested. We examined the incidence time trends of brain tumour in Australia for three distinct time periods to ascertain the influence of improved diagnostic technologies and increase in mobile phone use on the incidence of brain tumours. Design In a population-based ecological study, we examined trends of brain tumour over the periods 19821992, 19932002 and 20032013. We further compared the observed incidence during the period of substantial mobile phone use (20032013) with predicted (modelled) incidence for the same period by applying various relative risks, latency periods and mobile phone use scenarios. Setting National Australian incidence registration data on primary cancers of the brain diagnosed between 1982 and 2013. Population 16 825 eligible brain cancer cases aged 2059 from all of Australia (10 083 males and 6742 females). Main outcome measures Annual percentage change (APC) in brain tumour incidence based on Poisson regression analysis. Results The overall brain tumour rates remained stable during all three periods. There was an increase in glioblastoma during 19932002 (APC 2.3, 95% CI 0.8 to 3.7) which was likely due to advances in the use of MRI during that period. There were no increases in any brain tumour types, including glioma (0.6, 1.4 to 0.2) and glioblastoma (0.8, 0.4 to 2.0), during the period of substantial mobile phone use from 2003 to 2013. During that period, there was also no increase in glioma of the temporal lobe (0.5, 1.3 to 2.3), which is the location most exposed when using a mobile phone. Predicted incidence rates were higher than the observed rates for latency periods up to 15 years. Conclusions In Australia, there has been no increase in any brain tumour histological type or glioma location that can be attributed to mobile phones.
Findings		No Effects
Status		Completed With Publication
Principal Investigator		ARPANSA, Australia
Funding Agency		ARPANSA, Australia
Country		AUSTRALIA
References		Karipidis, KK et al. Occup Med (Lond)., (2007) 57:518-524 Karipidis, K et al. BMJ Open., (2018) 8:e024489.:doi:10.1136/ bmjopen-2018-024489- Karipidis, K et al. BMJ Open., (2019) 9:e024489corr1- Karipidis, K et al. Cancer Epidemiol., (2021) 73:101961- Wood, AW Australasian physical & engineering sciences in medicine., (1995) 18:167-176 Elwood, JM et al. Cancer Epidemiol. , (2022) 80:102234-
Comments		for 44% of cases and 2% of controls, the questionnaire had to be answered by next of kin