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8 postsNo Measurable Impact of Acute 26 GHz 5G Exposure on Salivary Stress Markers in Healthy Adults
This triple-blind randomized study tested whether 26.5 minutes of 26 GHz (5G) RF exposure at environmental-like levels alters salivary stress biomarkers in healthy adults. Salivary cortisol and alpha-amylase measured before, during, and after exposure did not differ between real and sham conditions. An exploratory subgroup with frequent sampling also showed biomarker stability over time. The study addresses acute exposure only and notes the need for research on repeated or long-term exposures and vulnerable groups.
Millimeter-wave high frequency 5G (26 GHz) electromagnetic fields do not modulate human brain electrical activity
This randomized, triple-blind crossover study examined whether 26 GHz (5G millimeter-wave) exposure affects human EEG activity. Thirty-one healthy young adults completed real and sham 26.5-minute exposures at 2 V/m, with EEG recorded before, during, and after exposure. The study reports no significant effects of exposure on delta, theta, alpha, or beta band power across electrode clusters, providing preliminary reassurance under the tested conditions.
From adults to offspring: Wi-Fi RF-EMR exposure in adult zebrafish impairs reproduction and transgenerationally effects development and behavior of progeny
This animal study examined Wi-Fi RF-EMR exposure in adult zebrafish (4 hours/day for 30 days) and assessed reproductive tissues and offspring outcomes. The abstract reports testicular and ovarian histopathological abnormalities in exposed adults. Offspring from exposed parents, maintained under EMF-free conditions, reportedly showed increased mortality, morphological abnormalities, and anxiety-like behavior, with malformations increasing with longer parental exposure.
Associations between Individual and Geospatial Characteristics and Power of 4G Signals Received by Mobile Phones
This exposure assessment study analyzed smartphone-logged 4G LTE RSSI and GPS data from adults in France to identify determinants of downlink signal strength. RSSI varied with geospatial factors (distance to antennas, antenna density, urbanicity) and time of day, and was also influenced by technical smartphone parameters. The study reports an estimated electric field strength derived from RSSI, but notes high uncertainty in this conversion.
Looking for Biomarkers Which May Explain Idiopathic Environmental Intolerance Attributed to EMF (IEI-EMF): Does RF-EMF Exposure Influence Salivary Cortisol Response?
This randomized, double-blind, counterbalanced provocation study tested whether short-term RF-EMF exposure alters salivary cortisol in 72 predominantly young, healthy adults. Active exposure (2 W/kg peak SAR10g in head) showed no significant effect on cortisol compared with sham, and no sex differences were observed. The authors note that results may not rule out effects in populations not studied and encourage further research into plausible biological interactions.
Trends in Malignant and Benign Brain Tumor Incidence and Mobile Phone Use in the U.S. (2000-2021): A SEER-Based Study
This SEER-based ecological study examined U.S. trends (2000–2021) in malignant and benign brain tumor incidence and compared them with national mobile phone subscription trends. Malignant brain tumor incidence in adolescents and adults declined slightly, while benign brain tumor incidence increased over time; temporal lobe tumors and benign acoustic neuromas showed little change. The authors interpret these patterns as not supporting an association between mobile phone use and increased brain cancer risk, while recommending continued surveillance given rising benign tumor incidence and potential latency.
Skin Fibroblasts from Individuals Self-Diagnosed as Electrosensitive Reveal Two Distinct Subsets with Delayed Nucleoshuttling of the ATM Protein in Common
This study reports on 26 adults self-diagnosed with electromagnetic hypersensitivity (EHS) who provided skin biopsies to generate primary fibroblast lines. The authors describe two EHS subsets based on questionnaire and DNA damage-related measures, and report delayed ATM nucleoshuttling after X-ray exposure in all samples, interpreted as impaired DNA repair signaling. They propose a molecular model linking EHS to ATM pathway dysfunction and suggest this could relate to increased cancer risk or accelerated aging.
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.