Estimation of RF and ELF dose by anatomical location in the brain from wireless phones in the MOBI-Kids study

Authors: Carolina Calderón, Gemma Castaño-Vinyals, Myron Maslanyj, Joe Wiart, Ae-Kyoung Lee, Masao Taki, Kanako Wake, Alex Abert, Francesc Badia, Abdelhamid Hadjem, Hans Kromhout, Patricia de Llobet, Nadège Varsier, Emmanuelle Conil, Hyung-Do Choi, Malcolm R. Sim, Elisabeth Cardis

Year: 2022

Category: Epidemiology

Journal: Environment International

Institution: Environment International

DOI: doi:10.1016/j.envint.2022.107189

URL: https://www.sciencedirect.com/science/article/pii/S0160412022001155

Abstract

Overview

Wireless phones, including mobile and cordless types, emit radiofrequency (RF) and extremely low frequency (ELF) electromagnetic fields, which necessitate further study for potential adverse health effects. This study presents a novel algorithm developed within the multinational MOBI-Kids case-control framework.

Findings

  • The algorithm estimates cumulative specific energy (CSE) and cumulative induced current density (CICD) in the brain from RF and ELF fields for subjects aged 10-24 years.
  • Important factors such as age, tumour location, phone models, and usage patterns (including call frequency/duration and hands-free use) are considered.
  • Notably, the median CSE and CICD were found to be significantly higher in GSM than in 3G systems, and these dosages varied with the brain location.
  • Comparatively, agreement levels between the RF CSE and mobile usage variables were moderate to none, varying by communication system, while ELF CICD agreed more strongly but still varied with the communication system.
  • Despite a more diffuse distribution of ELF doses, high correlations were observed with RF doses. Dose distribution is significantly influenced by the communication system and phone model.

Conclusion

The study underscores the critical role of considering communication systems and anatomical locations in dose estimations. Given the complexity and evolving nature of communication technology, direct measurements of phone use may become less reliable as proxies for exposure assessment. This calls for enhanced precision in epidemiological methods to accurately correlate mobile phone use with potential health risks.

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