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8 postsFilters: tag: rf-emf-exposure Clear
DNA Damage Analysis in Blood Tissue & Physiopathological Evaluation of the Effect of Quercetin on Kidney Tissue in 2600 MHz EMF Exposure
This rat study assessed 30-day 2600 MHz EMF exposure effects on kidney tissue and DNA damage in blood lymphocytes, with an EMF+quercetin group included. Kidney histopathology and immunohistochemistry were reported as similar across groups, and oxidative stress markers did not significantly change. The EMF-only group showed significant DNA damage in lymphocytes by Comet assay.
Exposure to 5G-NR electromagnetic fields affects larval development of Aedes aegypti mosquito
This animal study exposed Aedes aegypti larvae to 5G-NR RF-EMF at 3.6 GHz for 5 days under two feeding regimes. The study reports delayed development at a lower exposure level mainly in nutritionally weakened larvae, and at a higher exposure level reports developmental changes and reduced adult size attributed to dielectric heating. Mortality and wing length asymmetry were reported as unchanged, and the authors note such high exposure levels are unlikely in natural aquatic settings.
Radiofrequency Electromagnetic Field Emissions and Neurodevelopmental Outcomes in Infants: A Prospective Cohort Study
This prospective cohort study followed 105 neonates/infants for one year and measured household RF-EMF using a selective radiation meter, categorizing exposure into tertiles. Higher household RF-EMF exposure was associated with lower ASQ-3 neurodevelopmental scores, particularly in motor and problem-solving domains, and higher odds of monitor/refer classifications for fine motor and problem-solving. The abstract notes these associations persisted after adjustment for low birth weight, though exposure was measured at a single time point and key confounders (e.g., prenatal phone use, parental interaction) were not assessed.
Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach
This paper applies a model-based clustering approach (Log-Normal Mixture Model) to continuous RF-EMF monitoring data from the Serbian EMF RATEL network in Novi Sad to characterize temporal exposure patterns. The analysis reports separation of night versus day exposure values and identification of daytime periods where exposure persists longer. The work is positioned as supporting improved understanding of when and where elevated exposures occur in urban environments.
A novel approach for assessments of radiofrequency electromagnetic fields exposure in buildings near telecommunication infrastructure
This paper proposes a new methodology to better assess indoor RF-EMF exposure in buildings near telecommunication base station antennas by refining measurement-point selection. Implemented in four multi-storey buildings in Natal, Brazil, indoor electric field peaks and averages were reported to be substantially higher than ground-level measurements. Although the highest indoor levels remained below ICNIRP recommended limits, the authors argue current regulatory evaluation methods may underestimate indoor exposure in certain building locations.
Impact of mobile phone-emitted non-ionizing electromagnetic radiation on parotid gland function: A comprehensive study
This cross-sectional study of 104 university student volunteers assessed whether mobile phone-emitted non-ionizing electromagnetic radiation is associated with changes in parotid gland-related salivary measures. The authors report higher salivary flow rate and pH with longer mobile phone usage duration, along with side-related differences in albumin, IMA, and IMAR. The paper concludes that consistent exposure to mobile phone NIER and associated heat adversely affects parotid gland function and frames this as a health risk, while calling for further long-term research.
Impact of expectancy on fatigue by exposure to the fifth generation of mobile communication signals
This randomized sham-controlled study in 21 healthy participants tested whether routine-level 5G RF-EMF exposure affects fatigue and EEG power, while manipulating expectancy via correct, false, or no information about exposure order. The study reports no change in EEG power with real versus sham exposure. However, self-reported fatigue varied with the conveyed information about being exposed, suggesting an expectancy/psychological priming effect on symptom reporting.
A Decision Support System for Managing Health Symptoms of Living Near Mobile Phone Base Stations
This analytical study evaluated machine learning models (SVM and Random Forest) to predict health symptoms in adults living near mobile phone base stations. The SVM model reportedly achieved high predictive performance for headache, sleep disturbance, dizziness, vertigo, and fatigue, and outperformed Random Forest and prior models. The abstract concludes that proximity to base stations is connected with increased prevalence of several symptoms and emphasizes distance, age, and duration of residence as key predictors.