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 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.