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EMF Study
(Database last updated on Mar 27, 2024)

ID Number 1874
Study Type Epidemiology
Model MOBI-Kids: mobile phone (and smart phone) use in children and correlation with brain and head tumors (glioma, acoustic neuroma, parotid gland, menningioma)
Details

Case control study in children and adolescents (10-24 yr olds, expected n = 2000) following the Interphone study design. Study will reconstruct mobile phone use over a 10-yr period prior to diagnosis. Tumor endpoints include glioma, acoustic neuroma, parotid gland tumor, meningioma. Participating sites include: 1) Fundació Centre de Recerca en Epidemiologia Ambiental (CREAL)Spain, 2) Fundació IMIM (FIMIM) Spain, 3) Universiteit Utrecht (UU) Netherlands, 4) France Telecom SA (FT) France, 5) Health Protection Agency (HPA) UK, 6) Ludwig-Maximilians-Universitaet Muenchen (LMU) Germany, 7) Medizinische Universitaet Wien (MUVI) Austria, 8) Università degli Studi di Torino (UNITO) Italy, 9) Centre National de la Recherche Scientifique (CNRS) France, 10) National and Kapodistrian University of Athens (UOA-SARG) Greece, 11) Gertner Institute for Epidemiology & Health Policy Research Israel, 12) University of Ottawa Canada, 13) Monash University Australia, 14) The University of Auckland New Zealand. AUTHORS' ABSTRACT: Sadetzki et al. 2014 (IEEE #5920): The rapid increase in mobile phone use in young people has generated concern about possible health effects of exposure to radiofrequency (RF) and extremely low frequency (ELF) electromagnetic fields (EMF). MOBI-Kids, a multinational case-control study, investigates the potential effects of childhood and adolescent exposure to EMF from mobile communications technologies on brain tumor risk in 14 countries. The study, which aims to include approximately 1,000 brain tumor cases aged 10-24 years and two individually matched controls for each case, follows a common protocol and builds upon the methodological experience of the INTERPHONE study. The design and conduct of a study on EMF exposure and brain tumor risk in young people in a large number of countries is complex and poses methodological challenges. This manuscript discusses the design of MOBI-Kids and describes the challenges and approaches chosen to address them, including: (1) the choice of controls operated for suspected appendicitis, to reduce potential selection bias related to low response rates among population controls; (2) investigating a young study population spanning a relatively wide age range; (3) conducting a large, multinational epidemiological study, while adhering to increasingly stricter ethics requirements; (4) investigating a rare and potentially fatal disease; and (5) assessing exposure to EMF from communication technologies. Our experience in thus far developing and implementing the study protocol indicates that MOBI-Kids is feasible and will generate results that will contribute to the understanding of potential brain tumor risks associated with use of mobile phones and other wireless communications technologies among young people. AUTHORS' ABSTRACT: Calderon, Wiart, Cardis et al. 2014 (IEEE #6005): much attention, relatively little is known about the extremely low frequency (ELF) magnetic fields emitted by phones. This paper summarises ELF magnetic flux density measurements on global system for mobile communications (GSM) mobile phones, conducted as part of the MOBI-KIDS epidemiological study. The main challenge is to identify a small number of generic phone models that can be used to classify the ELF exposure for the different phones reported in the study. Two-dimensional magnetic flux density measurements were performed on 47 GSM mobile phones at a distance of 25 mm. Maximum resultant magnetic flux density values at 217 Hz had a geometric mean of 221 (þ198/104) nT. Taking into account harmonic data, measurements suggest that mobile phones could make a substantial contribution to ELF exposure in the general population. The maximum values and easily available variables were poorly correlated. However, three groups could be defined on the basis of field pattern indicating that manufacturers and shapes of mobile phones may be the important parameters linked to the spatial characteristics of the magnetic field, and the categorization of ELF magnetic field exposure for GSM phones in the MOBI-KIDS study may be achievable on the basis of a small number of representative phones. Such categorization would result in a twofold exposure gradient between high and low exposure based on type of phone used, although there was overlap in the grouping. AUTHORS' ABSTRACT: Goedhart, Cardis et al. 2015 (IEEE #6093): A newly developed smartphone application was piloted to characterize and validate mobile phone use in young people. Twenty-six volunteers (mean age 17.3 years) from France, Spain, and the Netherlands used a software-modified smartphone for 4 weeks; the application installed on the phone recorded number and duration of calls, data use, laterality, hands-free device usage, and communication system used for both voice calls and data transfer. Upon returning the phone, participants estimated their mobile phone use during those 4 weeks via an interviewer-administered questionnaire. Results indicated that participants on average underestimated the number of calls they made, while they overestimated total call duration. Participants held the phone for about 90% of total call time near the head, mainly on the side of the head they reported as dominant. Some limitations were encountered when comparing reported and recorded data use and speaker use. When applied in a larger sample, information recorded by the smartphone application will be very useful to improve radiofrequency (RF) exposure modeling from mobile phones to be used in epidemiological research. AUTHORS' ABSTRACT: Calderon et al. 2017 (IEEE #6674): This paper describes measurements and computational modelling carried out in the MOBI-Kids case-control study to assess the extremely low frequency (ELF) exposure of the brain from use of mobile and cordless phones. Four different communication systems were investigated: Global System for Mobile (GSM), Universal Mobile Telecommunications System (UMTS), Digital Enhanced Cordless Telecommunications (DECT) and Wi-Fi Voice over Internet Protocol (VoIP). The magnetic fields produced by the phones during transmission were measured under controlled laboratory conditions, and an equivalent loop was fitted to the data to produce three-dimensional extrapolations of the field. Computational modelling was then used to calculate the induced current density and electric field strength in the brain resulting from exposure to these magnetic fields. Human voxel phantoms of four different ages were used: 8, 11, 14 and adult. The results indicate that the current densities induced in the brain during DECT calls are likely to be an order of magnitude lower than those generated during GSM calls but over twice that during UMTS calls. The average current density during Wi-Fi VoIP calls was found to be lower than for UMTS by 30%, but the variability across the samples investigated was high. Spectral contributions were important to consider in relation to current density, particularly for DECT phones. This study suggests that the spatial distribution of the ELF induced current densities in brain tissues is determined by the physical characteristics of the phone (in particular battery position) while the amplitude is mainly dependent on communication system, thus providing a feasible basis for assessing ELF exposure in the epidemiological study. The number of phantoms was not large enough to provide definitive evidence of an increase of induced current density with age, but the data that are available suggest that, if present, the effect is likely to be very small. AUTHORS' ABSTRACT: Langer, Cardis et al. 2017 (IEEE #6783): Characterizing exposure to radiofrequency (RF) fields from wireless telecommunications technologies during childhood and adolescence is a research priority in investigating the health effects of RF. The Mobi-Expo study aimed to describe characteristics and determinants of cellular phone use in 534 young people (1024 years) in 12 countries. The study used a specifically designed software application installed on smartphones to collect data on the use of wireless telecommunications devices within this age group. The role of gender, age, maternal education, calendar period, and country was evaluated through multivariate models mutually adjusting for all variables. Call number and duration were higher among females compared to males (geometric mean (GM) ratio 1.17 and 1.42, respectively), among 2024 year olds compared to 1014 year olds (GM ratio 2.09 and 4.40, respectively), and among lowest compared to highest social classes (GM ratio 1.52 and 1.58, respectively). The number of SMS was higher in females (GM ratio 1.46) and the middle age group (1519 year olds: GM ratio 2.21 compared to 1014 year olds) and decreased over time. Data use was highest in the oldest age group, whereas Wi-Fi use was highest in the middle age group. Both data and Wi-Fi use increased over time. Large differences in the number and duration of calls, SMS, and data/Wi-Fi use were seen by country, with country and age accounting for up to 50% of the variance. Hands-free and laterality of use did not show significant differences by sex, age, education, study period, or country. Although limited by a convenience sample, these results provide valuable insights to the design, analysis, and interpretation of future epidemiological studies concerning the health effects of exposure resulting from cellular phone use in young people. In addition, the information provided by this research may be used to design strategies to minimize RF exposure.

Findings Ongoing
Status Completed With Publication
Principal Investigator Univ Barcelona (CREAL) Spain (formerly IARC) - ecardis@creal.cat
Funding Agency EU, NHMRC, Australia, ACEBR, Australia
Country SPAIN
References
  • Sadetzki, S et al. Frontiers in Public Health., (2014) 2, Article 124:(10 pages) -
  • Calderon, C et al. Bioelectromagnetics., (2014) 35:210-221
  • Goedhart, G et al. Bioelectromagnetics., (2015) 36:538-543
  • Calderon, C et al. Environ Int., (2017) 101:59-69
  • Langer, CE et al. Environment International., (2017) 107:65-74
  • Castaño-Vinyals, G et al. Environment International., (2022) 160:107069-
  • Calderon, C et al. Environ Int., (2022) 163:107189-
  • Turner, MC et al. Epidemiol., (2019) 30:145-153
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