Objective This review systematically evaluated evidence on the associations between maternal mobile phone use—specifically frequency and duration—and pregnancy outcomes.
Methods Comprehensive PubMed, Web of Science, and Google Scholar searches identified 20 studies meeting the predetermined inclusion criteria. Covidence was used for title and abstract screening.
Results While several studies reported no significant health threat, others suggested an association with adverse pregnancy outcomes. The most consistent evidence emerged for alterations in fetal and neonatal cardiac function and increased risk of preterm birth, highlighting a need for further targeted research on system-specific vulnerabilities.
Impact Despite the widespread use of mobile phones, the adverse effects of RF-EMF exposure remain poorly understood, especially among susceptible populations, such as pregnant women. This study synthesizes human evidence to inform the general public, clinicians, researchers, patients, and policymakers about the potential risks associated with prenatal RF-EMF exposure. Although findings remain inconclusive, the evidence suggests possible effects on fetal cardiac function and gestational duration. By identifying methodological limitations and research gaps, this review highlights the need for standardized exposure assessment and well-designed prospective studies to enable more definitive risk evaluation and guide evidence-based recommendations for safer prenatal mobile phone use.
This review systematically evaluates the available literature regarding the health impacts of mobile phone use during pregnancy. While some studies report no significant effects, others suggest potential risks such as cardiovascular abnormalities and shorter gestational duration. Potential mechanisms like RF-EMF-induced oxidative stress may underlie these adverse health outcomes. Notably, all non-randomized studies showed serious or critical risk of bias, and the randomized studies ranged from some concerns to high risk, so findings should be interpreted with caution. Future research should prioritize well-designed cohort studies with standardized exposure assessments to clarify these associations. Because of the rapid evolution of mobile phone technology and increased frequency and duration of mobile phone usage, understanding the long-term impacts of RF-EMF exposure on maternal and fetal health remains critical. While agencies like the NIH and CDC note that benefits generally outweigh risks, the emerging evidence may support precautionary measures to reduce mobile phone usage during pregnancy, particularly among high-risk pregnant women. Simple interventions, such as using speakerphones or wired headsets, keeping phones away from the abdomen, and enabling airplane mode during inactivity, may be suggested during biologically sensitive periods. Due to the inherent limitations of the primary studies reviewed in this manuscript, any definitive conclusions or recommendations will require more rigorous studies with clearly defined and quantified exposures and health outcomes.
Safeguarding Children's Health in the Digital Age: Addressing Screen Time, Wireless Radiation, and Extremely Low Frequency Electromagnetic Field Exposures
Abstract
• Non-ionizing radiation (RF-EMF) does not directly cause cancer but may indirectly influence carcinogenesis through biological pathways.
• Exposure to RF-EMF can induce oxidative stress, genomic instability, and altered cell signaling mechanisms.
• Epidemiological evidence on cancer risk (e.g., brain tumors, leukemia) remains inconsistent and inconclusive.
• Long-term and high-exposure conditions may contribute to cancer progression, further large scale research is needed.
Sharma N, Kaur A, Sharma S. Impact of Terahertz Electromagnetic Devices on Human Tissue: A Review of SAR and Safety Considerations. Radio Science. 61(8). doi: 10.1029/2025RS008496
Abstract
Alkhatib H, B Norton B. Health and Environmental Consequences of Blue Light Exposure and Mitigation Strategies: A Review. Environmental Advances. 2026. doi: 10.1016j.envadv.2026.100749.
Abstract
Blue light is a natural component of the visible spectrum that has a fundamental role in regulating circadian rhythms, visual performance, mood, and daytime alertness. In modern environments, however, exposure patterns have shifted due to widespread use of artificial lighting and digital devices. Artificial blue light exposure can be mistimed relative to the biological night. This literature review examines the consequences of inappropriately timed artificial blue light exposure. Specifically, the review covers: (i) the spectral biology of blue light and its role in circadian entrainment; (ii) the timing-, intensity-, and duration-dependent effects on human sleep, ocular health, mood, and metabolic regulation; (iii) age-specific vulnerabilities; (iv) ecological impacts of artificial blue light at night on wildlife behaviour and ecosystem dynamics; (v) existing regulatory frameworks and their limitations; and (vi) current and emerging mitigation technologies, including spectral optimization and adaptive lighting systems. For people, evening blue light exposure suppresses melatonin and disrupts circadian phase alignment leading to adverse metabolic, reproductive, and carcinogenic outcomes. Ecosystems can also be disrupted by artificial blue light at night. Relevant regulatory frameworks are fragmented; they largely do not incorporate circadian-relevant spectral metrics. Increasingly available mitigation technologies require agreed standards for their unbiased assessment.
Conclusions
Current fragmented regulatory frameworks largely focus on photobiological safety thresholds rather than circadian-relevant spectral composition and exposure timing. While some jurisdictions have introduced limits on high-intensity blue-rich lighting, consistent integration of chronobiological metrics into building codes, occupational standards, and urban lighting policies remains limited.
Ultimately, the challenge is not to eliminate artificial blue light, but to align its use with biological and environmental rhythms. A timing- and spectrum-informed approach to the design, operation, and regulation of lighting and light-emitting devices is essential to balance technological benefits with human and ecological health.
Background: Autism Spectrum Disorder (ASD) involves Mirror Neuron System (MNS) dysfunction, driving core social and imitative impairments. Systemic physiological alterations such as autonomic dysregulation, mitochondrial dysfunction and neuroinflammation are known to impair synchronization and plasticity of neuronal clusters. A less-evident environmental cofactor, coinciding with rising ASD prevalence, is the considerable world-wide increase in electromagnetic radiation (EMR) overall exposure among children. Experimental evidence shows how low-intensity EMR influences cellular processes, via voltage-gated calcium channels (VGCCs), oxidative stress, and mitochondrial metabolism. The Resonant Convergence framework, allow to predict how chronic EMR exposure during the first 24 postnatal months of life can act as a factor in ASD pathogenesis. The best candidate mechanism is chronic Ion Cyclotron Resonance (ICR) detuning the Ca2+-calmodulin pathway, thus disrupting MNS synchronization.
Methods and analysis: A prospective observational pilot cohort study (24-month follow-up) proposes to enroll 1000 full-term newborns into two arms: an EMR-reduced cohort (n = 500, rest and sleep-phase Faraday shielding) and a standard exposure cohort (n = 500). Exposure is quantified via radiofrequency (RF)/extremely low frequency(ELF) measurements, proximity analysis, device inventories and wearable dosimetry. The primary endpoint is a continuous neurodevelopmental trajectory score (joint attention, language, electroencephalogram (EEG) mu-rhythm); binary ASD diagnosis (Autism Diagnostic Observation Schedule, Second Edition (ADOS-2), Autism Diagnostic Interview-Revised (ADI-R)) is a secondary, exploratory endpoint. Moreover, an optional genomic screening will evaluate gene-environment interactions within extremely low-frequency electromagnetic field (ELF-EMF) vulnerable pathways, including ASD-associated genes upregulated by RF via bromodomain and extraterminal protein (BET)-mediated epigenetic mechanisms. Analyses will employ risk ratios, Fisher's exact tests and logistic regression adjusted for confounders; mixed-effects and Bayesian modeling will evaluate longitudinal outcomes and exposure reduction effects. Given a 2-3% baseline prevalence, approximately 20-30 ASD cases are expected. The study is therefore powered for exploratory signal detection rather than definitive causal inference, providing the critical baseline data required to justify and design future confirmatory trials. Sex-stratified modeling will address the 4:1 male-to-female prevalence ratio.
Ethics and dissemination: Ethics committee approval is not yet sought; full protocol review and approval will be obtained prior to the study initiation, in strict accordance with the Declaration of Helsinki. Written parental informed consent will be mandatory for all participants prior to enrollment. Study findings and methodological milestones will be disseminated through peer-reviewed international scientific publications. This protocol provides a structured methodological framework for the first prospective investigation of sleep-phase EMR reduction as a potential modulator of ASD incidence during early neurodevelopment. Results will inform adequately powered confirmatory trials in electromagnetic neurodevelopmental epidemiology.
My note: This study helps explain why epidemiologic studies (i.e., human observational studies) of cell phone radiation effects often find inconsistent results. Most studies only assess exposure to cell phone radiation and fail to account for other myriad sources of electromagnetic field (EMF) exposure including cell towers, cordless phones, and Wi-Fi. Over time with the deployment of more cell towers and adoption of more efficient cell phones, while everyone's bodies are exposed to more microwave radiation, cell phone users' heads are exposed to less radiation. Moreover, cell phone users now are more likely to use text, headsets, or speakerphones reducing microwave exposure to the head while increasing exposure to other parts of their bodies.
Although substantial variations were observed depending on operator and usage scenario, under the measurement and dosimetric conditions considered in this study, brain SAR associated with DL EMF exposure was comparable to or exceeded that associated with UL transmission in many cases. These findings indicate that, under such conditions, the long-standing perception that mobile phones are the primary source of RF-EMF exposure to the brain may not fully reflect the relative contributions of DL and UL exposure in modern mobile-network environments. Therefore, both UL exposure from device use and DL EMF from BSs should be considered in future exposure assessments and epidemiological studies.
All measured field strengths and calculated SAR values remained well below the exposure limits for the general public specified by the ICNIRP guidelines and IEEE standards. Although whole-brain-averaged SAR is not a dosimetric quantity addressed by current ICNIRP or IEEE exposure guidelines, the measured DL field strengths and UL Tx powers in this study were sufficiently low that the corresponding localized SAR values would likewise be expected to remain well below the applicable basic restrictions. Therefore, the whole-brain SAR values reported in this study represent very low RF-EMF exposure levels under realistic mobile-network operating conditions.
Accordingly, the whole-brain SAR values should be interpreted as dosimetric indicators for quantifying realistic brain RF-EMF exposure under realistic mobile-network operating conditions and for providing a quantitative dosimetric basis for future epidemiological investigations of brain-related health outcomes, rather than as quantities for compliance assessment. Nevertheless, accurate dosimetry of low-level chronic RF-EMF exposure remains important for effective risk communication and for improving exposure assessment in future health studies. By integrating real-world measurements with computational dosimetry, this study provides insight into how evolving mobile-network infrastructures translate into realistic human exposure conditions.
Yuasa A, Uehara S, K, Kodera S, Hirata A, Otaka Y. Pain threshold induced by local exposure to millimeter waves on human skin. J Neurophysiol. 2026 Aug 17. doi: 10.1152/jn.00554.2025.
Abstract
Exposure to millimeter waves potentially causes pain and tissue damage at the exposed body sites. However, the threshold temperature, especially the pain threshold, remains unclear. In this study, we investigated the perception thresholds of four different types of sensations-warmth, heat, tingling, and pain-and individual physical characteristics associated with the pain perception induced by millimeter-wave exposure. Thirty-five healthy adults were exposed to a 28 GHz millimeter wave on their left middle fingertip at an input power of 8.5 W (incident power density averaged over a 1 cm area: 1.00 W/cm) for up to 10 min. The temperature at which the initial subjective perception of each of the four sensation types occurred was determined as the perception threshold for that sensation. When the skin surface temperature exceeded 44°C or when the participant felt pain, the exposure was terminated. The association between participants' physical characteristics and the presence of pain was investigated using logistic regression analysis. Consequently, the perception thresholds increased in the following order: warmth < heat < tingling < pain. A total of 18 (51%) participants perceived pain, and the average pain threshold was 41.9°C. Females were more likely than males to perceive pain (odds ratio, 4.80 [1.15-20.09]), which may be partially explained by sex-related differences in hydration levels and finger circumference. Our results demonstrated that exposure to millimeter waves can induce pain at approximately 42°C and revealed clear sex differences in sensitivity to pain perception under millimeter-wave exposure.
Open access: https://journals.physiology.
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Background Smart phones emit electromagnetic radiation and blue light which cause many effects on retina and CNS. The aim is to investigate MP usage effect on vision in healthy adults by using VEP and ERG and to correlate these effects with age and previous usage duration.
Results 70 healthy participants were subjected to one hour exposure to a smart phone set at 30 cm distance from eyes. P-VEP and ERG (pattern, full field flash and multifocal) were recorded pre and post exposure. Correlations with age and with prior history of duration of usage were analyzed. Significant P100 latency delay was reported in P-VEP. No effect on P-ERG was observed. F-ERG showed a high statistically significant reduction in b wave amplitude. MF ERG showed a statistically significant P1 amplitude reduction and latency delay. P100 latency increase showed a positive correlation with age and a negative one with prior exposure duration. F-ERG showed significant negative change in (a) wave latency with age but no significant one with MP usage duration. Regarding MF ERG, there was significant negative correlation of P1 wave with age and with the duration of MP usage.
Conclusion Practicing mindful mobile device utilization to minimize possible undesirable effects on vision is advised. These effects were more obvious in central retina. Long duration of previous use of MP increases tolerance of electro-diagnostic tests of vision to acute exposure though impairing basal function. ERG is more affected in young age, but VEP is more impaired in old age after acute MP exposure.
Bhargava D, Sharma PK, Rattanadecho P, et al. Numerical and machine learning-based modelling of electromagnetic exposure and thermal effects in human head at 2.45 GHz. J Comput Electron 25, 180 (2026). doi: 10.1007/s10825-026-02632-
This study numerically investigated the effects of 2.45 GHz electromagnetic exposure, commonly associated with wireless communication systems, on SAR and temperature distribution in a human head model, with particular emphasis on source–head separation distance. Maximum absorption was observed when the EM source was positioned 6 mm from the head surface, resulting in peak SAR and temperature values. In all cases, the skin layer exhibited the highest absorption due to its direct exposure to the incident radiation and higher dielectric properties. Depth-wise analysis revealed attenuation of the electric field and SAR with increasing tissue depth, with low absorption in the fat and bone layers and localized SAR variations influenced by tissue dielectric characteristics. The temperature distribution followed a similar trend, decreasing with tissue depth. Although SAR values exceeded the ICNIRP exposure limit, the corresponding temperature rise remained below the safety threshold. Despite the geometric simplifications of the 2D model, the SAR and temperature distributions remain consistent with reported 3D studies, confirming its reliability as a computationally efficient approach for exposure analysis. The applied analysis is further enhanced by the application of the multiple machine models that validate the nonlinear relationship between the source and head distance and the corresponding temperature and SAR distributions. The applied regression models depict strong prediction accuracy and a close alignment between simulated and predicted results. The ML-based analysis preserves prediction fidelity, reduces the computational complexity and time as compared to the full-wave simulations with varying source positions.
The study has certain limitations. First, the model cannot capture out-of-plane field variations and three-dimensional scattering effects, which may influence the actual field distribution. Second, the anatomical complexity of the human head is simplified, neglecting realistic 3D curvature and structural irregularities. Third, the calculated SAR and temperature distributions may differ quantitatively from those in a full three-dimensional model. Therefore, the present results should be interpreted mainly as qualitative and comparative trends.
In future, a more realistic three-dimensional human head model will be investigated, along with a wider range of operating frequencies and advanced machine learning approaches for improved prediction of EM absorption in tissues. In addition, physics-informed neural networks (PINNs) are currently being explored to further analyze the proposed framework by integrating physical constraints with data-driven modeling. These findings provide valuable insights for the safety assessment and design optimization of wireless communication devices operating in near-field conditions.
Abstract
The exposure model was designed to simulate realistic 5G environmental conditions10 using frequencies of 3.5 GHz (mid-band) and 24 GHz (high band) spectra allocated for 5G communication.10 Both frequencies were chosen to enable a comparative evaluation of their biological effects, as no prior study investigated pregnancy outcomes following paternal exposure at these frequencies.
The Control group was placed in the radiation room with the antenna or device used for the exposure set to inactive mode. The 3.5 GHz group was exposed using an omnidirectional microstrip antenna (Supplementary Fig. 1), operating at 22 dBm output power. The antenna provided by the Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka. The 24 GHz exposed group utilized a 24 GHz Tuya WiFi Smart Human Presence Detector (Shenzhen, China), equipped with an LD2420 24G mmWave antenna capable of emitting a 24 GHz signal. This antenna operates at an 11 dBm output power and represents the higher end of the 5G technology spectrum, operating within the mmWaves radiation range.
The exposure model was designed to simulate realistic 5G environmental conditions10 using frequencies of 3.5 GHz (mid-band) and 24 GHz (high band) spectra allocated for 5G communication.10 Both frequencies were chosen to enable a comparative evaluation of their biological effects, as no prior study investigated pregnancy outcomes following paternal exposure at these frequencies.
The Control group was placed in the radiation room with the antenna or device used for the exposure set to inactive mode. The 3.5 GHz group was exposed using an omnidirectional microstrip antenna (Supplementary Fig. 1), operating at 22 dBm output power. The antenna provided by the Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka. The 24 GHz exposed group utilized a 24 GHz Tuya WiFi Smart Human Presence Detector (Shenzhen, China), equipped with an LD2420 24G mmWave antenna capable of emitting a 24 GHz signal. This antenna operates at an 11 dBm output power and represents the higher end of the 5G technology spectrum, operating within the mmWaves radiation range.
Highlights
• Chronic paternal RF-EMR impairs fetal growth and placental efficiency in a male-biased manner.
• Paternal RF-EMR downregulates placental nutrient transporters predominantly in male offspring.
• Paternal RF-EMR induces sex-dependent histone modifications in offspring placentas.
• Paternal RF-EMR drives male-specific enrichment of repressive histone marks at promoters of key placental nutrient transporter
A continuous wave (CW) signal generator (China Electronics Technology Instruments Co., Ltd., China), an amplifier (output power = 8.4 W; SWSPA-C200S/C-2, Chengdu SWIEE Power Electronics Technology Co., Ltd, China), and a horn antenna (gain: 8.94 dB, CW; LB-1080, A-INFO, China) were used to establish the Wi-Fi RF-EMR exposure system. The electromagnetic radiation frequency was set at 2.4 GHz, and mice were allowed free movement within their cages during exposure. The whole-body specific absorption rate (SAR) was measured using a SAR meter (Narda SRM-3006, Narda-Storp, Germany) and calculated based on a prolate spheroidal model of a medium-sized mouse (Yan et al., 2022), yielding a whole-body SAR range of 0.125–0.5 W/kg across different positions within the exposure chamber. The uniformity of the electromagnetic field within the exposure chamber was verified to ensure consistent exposure across all cages.
Effects of chronic single- and dual-band radiofrequency exposure on spatial learning and memory retention in growing male rats
Environmental monitoring of static magnetic fields around operating high-voltage direct-current transmission facilities in Japan
Kawabe F, Muroya S, Ohkubo C. Environmental monitoring of static magnetic fields around operating high-voltage direct-current transmission facilities in Japan. Radiat Prot Dosimetry. 2026. doi: 10.1093/rpd/ncag089.
Open access paper: https://doi.org/10.1093/rpd/
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Impact of ELF EMF exposure on sleep quality and mental health in a Tunisian power plant: a cross-sectional study
Kacem I, Jammeli I, C, Gaddour A, Makhloufi M, Aloui A, Chouchane A, Maalel OE, Kahloul M, Mrizak N (2026) Impact of extremely low frequency electromagnetic fields exposure on sleep quality and mental health in a Tunisian power plant: a cross-sectional study. Front. Psychiatry 17:1755918. doi: 10.3389/fpsyt.2026.1755918.
Abstract
Introduction: Extremely low-frequency electromagnetic fields (ELF-EMFs) are ubiquitous in our daily life. They may have an impact not only on physical health but also on mental health.
Open access: https://www.
Stepwise sweeping-frequency ELF MF exposure and MTT-derived signal in U251 glioblastoma cells
Zastko L, Petrovičová P, Tvarožná A,et al. Stepwise sweeping-frequency ELF MF exposure and MTT-derived signal in U251 glioblastoma cells. (2026). Sci Rep. doi: 10.1038/s41598-026-
Abstract
Extremely low-frequency magnetic fields (ELF MF) have been reported to elicit parameter-dependent cellular responses, although experimental outcomes remain variable across biological models and exposure conditions. In this exploratory study, we evaluated the utility of a precisely characterized stepwise sweeping-frequency ELF MF (3–26 Hz) exposure system as a systematic in vitro screening platform under well-controlled exposure conditions. U251 human glioblastoma cells were exposed for 24 h to defined MF amplitudes (6–24 µT), followed by a 24 h post-exposure incubation period. Normalized MTT-derived signal was quantified using a standard MTT assay and calculated relative to exposure-specific and sham controls ( = 3 independent experiments). Direct comparisons between complementary ELF MF-exposed and sham-exposed samples, representing the primary biological comparison of the study, did not reveal statistically significant differences under the present experimental conditions. As secondary analyses, comparisons with the respective control groups showed differences in normalized MTT-derived of approximately 10–15% at several magnetic field amplitudes (6, 10, 13, and 24 µT). These observations were restricted to selected exposure conditions and did not follow a monotonic relationship across the investigated magnetic field amplitudes. Overall, the results demonstrate the utility of the present protocol as an exploratory in vitro screening platform for systematic evaluation of a broad range of exposure conditions and identification of conditions suitable for subsequent targeted mechanistic investigations.
Open access: https://rdcu.be/fBMYb
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Quantum nanorotator in the field: Implications for magnetobiology
Binhi VN. Quantum nanorotator in the field: Implications for magnetobiology. Phys Rev E. 2026 Jul;114(1-1):014406. doi: 10.1103/8wry-pznb.
Abstract
A mechanism for the biological effects of the field is proposed, based on the rotational motion of a molecule as a whole within a cavity in an enzyme. It has been shown previously that a molecular rotator about 1 nm in size can have a decoherence time of up to tens of milliseconds. On shorter timescales, the nanorotator exists in a state of quantum superposition and exhibits interference effects. The statics and dynamics of the nanorotator in a magnetic field are analyzed using the Schrödinger and Liouville-von Neumann equations, taking into account chemical kinetics and thermal relaxation. It is demonstrated that the small-scale interference of the nanorotator is highly sensitive to weak magnetic fields. The quantum shows magnetic effects ranging from a few to several tens of percent over a wide range of realistic decoherence rates. If the nanorotator constitutes an adequate model of rotating amino acid residues in the active sites of certain enzymes involved in protein synthesis, then weak magnetic fields can exert significant biological effects, leading to the observed phenomena.
We proposed a mechanism for the influence of a field on biological systems, based on the quantum behavior of a nanoscopic molecular rotator. The calculation of magnetic effects was performed by applying a solution of the Liouville–von Neumann equation, standard in spin chemistry, to a molecular rotator of about 1 nm in size. In this mechanism, the rate of chemical reaction is governed not by spin prohibitions but by regular rotational dynamics.
It was shown that magnetic effects up to several tens of percent arise due to modulation of the quantum interference pattern in very weak MFs and are relatively robust to decoherence. The temperature factor not only promotes decoherence, as is typical, but also enables the very existence of magnetic effects by facilitating the emergence of a fine-structured magnetosensitive interference pattern prior to the onset of decoherence.
With realistic values of model parameters, the rotator probability density rotates in a weak MF a few degrees, which could allow interpreting various phenomena in magnetobiology.
The quantum rotator mechanism suggests that evolutionary adaptation renders organisms able to use the GMF for improved biosynthesis. A reduction to HMF levels results in increased errors in biosynthesis and the associated negative outcomes.
The high sensitivity of the rotator mechanism arises because the MF affects the phases of the wave functions rather than the energy of the magnetic moment. The physical limit that sets the minimal MF for the effect to occur takes the form if (a typically biological process) is embedded in the system. The molecular rotator is not just a rotator obeying the laws of quantum physics, but a nanoscopic system in which quantum effects may become observable under biological conditions. This is one of the cases where quantum effects are not merely preserved in a biological system but arise precisely because of it. The peculiarities of nanorotator dynamics, leading to an extreme responsiveness of the interference pattern to parameter variations (to MF variations in particular), may represent a previously unstudied resource of biology.
Melnick RL, Moskowitz JM, Héroux P on behalf of International Commission on the Biological Effects of Electromagnetic Fields. Conflicting views in experimental carcinogenesis: a commentary on design and methodological deficiencies in the follow-up validation studies on radiofrequency radiation. Environ Health 25, 66 (2026). https://doi.org/10.1186/
Abstract
Conflicting views in experimental carcinogenesis often arise due to differences in study design among reported studies. For carcinogenicity assessments, regulatory agencies, such as the US Food and Drug Administration (FDA), and intergovernmental advisory organizations, such as the Organization for Economic Co-operation and Development (OECD), specify the use of at least three dose levels plus control group for trend analyses, with the highest dose inducing a measurable toxic response. In addition, there needs to be a sufficient number of animals per group to have adequate power to detect a true carcinogenic effect. Departure from such recommendations can weaken the interpretations of study results. We examine here two recent carcinogenicity studies from Japan and Korea that were conducted following the positive carcinogenicity study of radiofrequency radiation (RFR) in experimental animals by the National Toxicology Program (NTP). The Japan and Korea follow-up studies used fewer animals per group, a single RFR exposure group, and a lower exposure level than the NTP study. Not surprisingly, while the NTP study revealed the carcinogenicity of RFR, the Japanese and Korean studies, which had reduced statistical power compared to the NTP study, issued conclusions conflicting with those of the more substantial NTP study on the health effects of RFR. In general, carcinogenicity studies with weaker doses, fewer exposure groups, and reduced statistical power should not be used to test the validity of more robust studies.
Excerpt
Despite the numerous limitations in their study design, the authors of the Japan-Korea studies concluded there is “no reproducible carcinogenic potential of mobile phone-type RF exposure in rats,” and that alternatives to the ICNIRP “recommend[ed] exposure limits for RF radiation based on thermal effects” are inconclusive [3]. These statements reflect ideological support for ICNIRP’s thermal-only mechanism of adverse effects and its repeated dismissal of the validity of the NTP carcinogenicity studies (e.g [12]). The project’s principal investigator is a member of ICNIRP, and the advisory committee that provided oversight and guidance throughout this project was heavily represented by current and past members of ICNIRP, suggesting a strong influence of ICNIRP in the design and interpretation of these studies.
In conclusion, methodological shortcomings due to the design choices in the Japan–Korea studies, specifically the restriction to a single exposure group of 4 W/kg of CDMA-modulated RFR and reduced statistical power, systematically biased the study toward null results and eliminated the possibility of detecting a positive trend. Consequently, these findings cannot be used to reasonably refute the peer-reviewed evidence of toxicity and carcinogenicity of CDMA- and GSM-modulated RFR in the NTP studies, nor to reinforce ICNIRP’s thermal-based exposure limits. It is also important to note that the increases in schwannomas and gliomas reported in experimental studies of RF-EMF are of the same tumor types (glioma and vestibular schwannoma) that were increased in epidemiological studies in which brain cancer risk was increased among heavy users of mobile phones [13]. The example described in this commentary demonstrates how limited and divergent experimental designs and potential biases in the interpretation of experimental carcinogenicity results can lead to conflicting views on the health effects of RFR.
Open access: https://link.springer.