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Radiofrequency electromagnetic fields (RF-EMF, 100 kHz to 300 GHz) are classified by IARC as possibly carcinogenic to humans (Group 2B). This study evaluates the potential association between occupational RF-EMF exposure and brain tumor risk, utilizing for the first time, a RF-EMF job-exposure matrix (RF-JEM) developed in the multi-country INTEROCC case-control study. Cumulative and time-weighted average (TWA) occupational RF-EMF exposures were estimated for study participants based on lifetime job histories linked to the RF-JEM using three different methods: (1) by considering RF-EMF intensity among all exposed jobs, (2) by considering RF-EMF intensity among jobs with an exposure prevalence ≥ the median exposure prevalence of all exposed jobs, and (3) by considering RF-EMF intensity of jobs of participants who reported RF-EMF source use. Stratified conditional logistic regression models were used, considering various lag periods and exposure time windows defined a priori. Generally, no clear associations were found for glioma or meningioma risk. However, some statistically significant positive associations were observed including in the highest exposure categories for glioma for cumulative and TWA exposure in the 1- to 4-year time window for electric fields (E) in the first JEM application method (odds ratios [ORs] = 1.36, 95% confidence interval [95% CI] 1.08, 1.72 and 1.27, 95% CI 1.01, 1.59, respectively), as well as for meningioma for cumulative exposure in the 5- to 9-year time window for electric fields (E) in the third JEM application method (OR = 2.30, 95% CI 1.11, 4.78). We did not identify convincing associations between occupational RF-EMF exposure and risk of glioma or meningioma.
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http://dx.doi.org/10.1002/ijc.35182 | DOI Listing |
Bioelectromagnetics
September 2025
Ghent University - imec, waves, Ghent, Belgium.
This study assesses the exposure to 5G radio frequency electromagnetic fields (RF EMF) across four European countries. Spot measurements were conducted indoor and outdoor in both public spaces and educational institutions, encompassing urban and rural environments. In total, 146 measurements were performed in 2023, divided over Belgium (47), Switzerland (38), Hungary (30) and Poland (31).
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June 2025
Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Purpose: This paper reviews the applicability of standard epidemiological criteria for causation, to the multidisciplinary studies of RF-EMF exposure and various adverse biological and health effects, with the aim of demonstrating that these criteria, although 60 years old, are still helpful in this context-albeit in some cases not entirely straightforward to apply.
Methods: This is a commentary, based on Bradford Hill's criteria for assessing evidence of causation, applied to recent primary studies and systematic reviews of the RF-EMF/health-effects literature. Every effort has been made to use non-epidemiological language to reach a wide readership of biologists, physicists, and engineers now active in this field.
Environ Int
June 2025
Swiss Tropical and Public Health Institute (Swiss TPH), Allschwil 4123, Switzerland; University of Basel, Basel 4001, Switzerland. Electronic address:
To evaluate the implementation of 5G in Europe, we have systematically measured environmental, auto-induced downlink (DL) and uplink (UL) radiofrequency electromagnetic field (RF-EMF) exposure in more than 800 microenvironments in ten European countries. Outdoor, indoor, and public transport microenvironments were measured in two cities and three villages in each country. Exposure was measured during three mobile-phone user scenarios: flight mode (non-user), inducing maximum DL traffic (max DL) or maximum UL traffic (max UL).
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April 2025
Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Introduction: The aim of this study is to understand the temporal relationship between the somatization usually attributed to RF-EMFs, and to evaluate the attribution hypothesis and the nocebo hypothesis in this context.
Method: In this longitudinal study, data from the Dutch Occupational and Environmental Health Cohort Study (AMIGO) was analyzed, consisting of a baseline questionnaire collected in 2011 (14,829 participants) and a follow-up questionnaire collected in 2015 (7,904 participants). Participants completed a questionnaire providing information on their health status, perceived environmental exposures, and demographics.
Environ Int
May 2025
Division Biotechnologies Italian National Agency for New Technologies Energy and Sustainable Economic Development (ENEA), Rome, Italy. Electronic address: