Non‑Thermal EMF Harm Signals (Moderate Evidence): Reproductive DNA Damage, Pregnancy Risk, Tumor Relevance, and Ecological Disruption
Research
Effect Synthesis
Mar 1, 2026
Synthesis of 13 moderate-evidence harm papers: 5G-band RF increased sperm DNA fragmentation in vitro; pregnancy cohort linked call time to miscarriage and growth outcomes; lifetime RFR tumor genetics support translati…
2026 Evidence Snapshot: Non‑Thermal RF Bioeffects Across 6 GHz, 3.5 GHz, 2.45 GHz, and 28 GHz—Why Heat‑Only Safety Limits Don’t Track Biology
Research
Effect Synthesis
Mar 1, 2026
Synthesis of 13 studies (2026) spanning 6 GHz, 3.5 GHz, 2.45 GHz Wi‑Fi, 28 GHz mmWave, and real‑world base‑station proximity and smartphone use. Across mechanistic, animal, and observational evidence, multiple biologi…
2026 EMF Research Snapshot: Non‑Thermal Biological Effects Across 6 GHz, 3.5 GHz, 2.45 GHz Wi‑Fi, and 28 GHz mmWave—Why Thermal‑Only Safety Limits Are Not Enough
Research
Effect Synthesis
Mar 1, 2026
Synthesis of 12 studies (2026) linking RF/EMF exposures and wireless tech use to oxidative stress, apoptosis, reproductive harm, kidney changes, sleep disruption, and base-station symptom patterns—supporting precautio…
Prediction of smartphone overdependence and analysis of its influencing factors among older adults based on machine learning.
Research
RF Safe Research Library
Jan 1, 2026
This study used panel data from South Korea's 2023 Smartphone Overdependence Survey to build and compare machine-learning models predicting smartphone overdependence among adults aged 60+. Among evaluated classifiers, XGBoost had the best reported predictive performance (accuracy 0.925). The most important predictors…
Reciprocal associations between smartphone overdependence and anxiety in adolescents: evidence from a nationally representative survey in the Republic of Korea.
Research
RF Safe Research Library
Jan 1, 2026
This secondary analysis of a nationally representative Korean adolescent survey examined bidirectional associations between smartphone overdependence and anxiety. In adjusted models, high risk for smartphone overdependence was associated with higher odds of anxiety, and severe anxiety was associated with higher odds…
Predictors of Risk Perception Among General Practitioners and Paediatricians Concerning Potential Health Effects of Exposure to Electromagnetic Fields
Research
RF Safe Research Library
Jan 1, 2026
This 2023 cross-sectional survey examined predictors of EMF-related health risk perception among 292 general practitioners and paediatricians in Germany. About 31% reported believing EMF exposure can cause health issues. Higher conspiracy belief was associated with higher EMF risk perception, while greater trust in…
Analyzing the Impact of Occupational Exposures on Male Fertility Indicators: A Machine Learning Approach
Research
RF Safe Research Library
Jan 1, 2025
This occupational epidemiology study used machine learning to evaluate whether workplace exposures (including magnetic and electric fields, vibration, noise, and heat stress) predict male reproductive indicators in 80 workers. The models and explainable AI outputs highlighted magnetic and electric field exposures and…
Understanding Electromagnetic Hypersensitivity (EHS) From Mobile Phone Radiofrequency Radiation (RFR) Exposure: A Mixed-Method Study Protocol
Research
RF Safe Research Library
Jan 1, 2025
This paper presents a mixed-method study protocol examining electromagnetic hypersensitivity (EHS) in relation to mobile phone radiofrequency radiation exposure among undergraduate students. The quantitative component aims to identify predictors of EHS using a biopsychosocial model, while the qualitative component…
A Decision Support System for Managing Health Symptoms of Living Near Mobile Phone Base Stations
Research
RF Safe Research Library
Jan 1, 2024
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…
The Role of Depression and Attachment Styles in Predicting Students' Addiction to Cell Phones.
Research
RF Safe Research Library
Jan 1, 2015
This descriptive correlational study examined whether depression and attachment styles predict cell phone addiction among university students in Iran. Using self-report measures in 100 students, regression analysis found depression and avoidant attachment style were the strongest predictors of cell phone…