This cross-sectional study compared 183 higher-exposed residents with 126 matched reference residents and assessed symptoms via questionnaire alongside in-home RF-EMF power density measurements from mobile phone base stations. Higher exposure (including proximity within 50 m and power densities of 5–8 mW/m2) was reported to be associated with increased symptom prevalence across mood-energy, cognitive-sensory, inflammatory, and anatomical categories. The authors conclude that current public exposure limits may be inadequate for long-term, non-thermal biological impacts and call for precautionary policy updates.

This exposure assessment measured personal RF electric field strength in multiple indoor and outdoor micro-environments in Malaysia using an ExpoM-RF 4 meter and modeled exposure with machine learning (FCNN, XG Boost) and linear regression. Reported exposures were usually below the stated public limit (61.4 V/m), but maximum values in dense urban areas with many base stations were reported to approach 56.7365 V/m. The authors frame near-threshold maxima in high-density areas as a potential health risk and recommend caution and monitoring.

This exposure assessment measured outdoor RF radiation from 4G/5G base stations near 10 schools in Örebro, Sweden (October 2024). The authors report maximum levels of 10,716–68,452 μW/m² and state these are far above EUROPAEM EMF guideline ranges; two locations also showed higher peak readings with a second meter. The paper frames these findings as indicating a significant health risk, particularly for children and sensitive groups, though no health outcomes were measured in this study.

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.

This 2016 narrative review proposes that non-thermal microwave/lower-frequency EMFs act primarily through activation of voltage-gated calcium channels (VGCCs), with calcium channel blockers reported to block EMF effects. It summarizes animal, occupational, and epidemiological literature and reports that exposures from base stations, heavy mobile phone use, and wireless smart meters are associated with neuropsychiatric symptoms, sometimes with doseresponse patterns. The author concludes that multiple lines of evidence collectively support that non-thermal microwave EMF exposures can produce diverse neuropsychiatric effects including depression.