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There is now strong evidence that radiofrequency electromagnetic field (RF-EMF) exposure influences the human electroencephalogram (EEG). While effects on the alpha band of the resting EEG have been repeatedly shown, the mechanisms underlying that effect have not been established. The current study used well-controlled methods to assess the RF-EMF exposure effect on the EEG and determine whether that effect might be thermally mediated. Thirty-six healthy adults participated in a randomized, double-blind, counterbalanced provocation study. A water-perfusion suit (34 ◦C) was worn throughout the study to negate environmental influences and stabilize skin temperature. Participants attended the laboratory on four occasions, the first being a calibration session and the three subsequent ones being exposure sessions. During each exposure session, EEG and skin temperature (8 sites) were recorded continuously during a baseline phase, and then during a 30 min exposure to a 920 MHz GSM-like signal (Sham, Low RF-EMF (1 W/kg) and High RF-EMF (2 W/kg)). Consistent with previous research, alpha EEG activity increased during the High exposure condition compared to the Sham condition. As a measure of thermoregulatory activation, finger temperature was found to be higher during both exposure conditions compared to the Sham condition, indicating for the first time that the effect on the EEG is accompanied by thermoregulatory changes and suggesting that the effect of RF-EMF on the EEG is consistent with a thermal mechanism

It is well known that applying transcranial alternating current stimulation (tACS) to the scalp can generate artefactual visual perceptions of flashing or shimmering light known as phosphenes. The thresholds for generating these phosphenes have been used by international standards bodies to provide conservative estimates of the field strength required to interfere with human neural functioning and set safety limits accordingly. However, the precise relationship between electric currents and phosphene perception thresholds remains uncertain. The present study used tACS to systematically investigate the effects of the location and the frequency of stimulation on phosphene perception thresholds. These thresholds were obtained from 24 participants using a within‐subject design as a function of scalp stimulation sites (FPz‐Cz versus Oz‐Cz) and stimulation frequency (2-30 Hz in steps of 2 Hz). Phosphene perception thresholds were consistently lower for FPz‐Cz stimulation, and regardless of tACS location were lowest for 16 Hz stimulation. Threshold variation between participants was very small, which is meaningful when setting standards based on phosphenes.

Objectives: Poor and fragmented sleep is a common problem amongst patients hospitalized on medical wards, and is associated with a number of poor outcomes. The present study aimed to objectively measure night-time sleep duration and efficiency in an acute medical ward, and to identify barriers to sleep in this setting. Methods: Fifty-four consecutive patients on an acute medical ward were observed with wearable actigraphy devices for one night, then administered the Richards-Campbell Sleep Questionnaire and a semi-qualitative questionnaire to determine the major barriers to sleep. Results: Patients had a wide variety of reasons for admission. Mean overnight sleep duration was 4.6 hours, with mean sleep efficiency 63%. The Richards-Campbell Sleep Questionnaire mean was 52/100, indicating poor quality sleep. Major barriers to sleep identified were the need to urinate, pain, noise, and light. Conclusions: A mixture of environmental and illness-related factors contribute to poor sleep in the hospital setting. Further research looking at ameliorating these factors may improve sleep and recovery in this population.

Hype continues to surround the roll-out of 5G technology in Australia and across the world. While there is promise of faster network speeds, and talk of exciting technologies like driverless cars, there's also a growing movement to stop the implementation of 5G due to concerns about the effects it may have on our health. But the scientific evidence we've got assures us there's no reason to worry. The radio frequencies powering 5G will be well below the exposure limits known to cause harm.

Screen time has arguably become the most concerning aspect of development for modern-day parents. A 2015 poll identified children's excessive screen time as the number one concern for parents, overtaking more traditional concerns such as obesity and not getting enough physical activity.

2018 Elsevier Inc. While there has been consistent evidence that symptoms reported by individuals who suffer from Idiopathic Environmental Intolerance attributed to Electromagnetic Fields (IEI-EMF) are not caused by EMF and are more closely associated with a nocebo effect, whether this response is specific to IEI-EMF sufferers and what triggers it, remains unclear. The present experiment tested whether perceived EMF exposure could elicit symptoms in healthy participants, and whether viewing an 'alarmist' video could exacerbate a nocebo response. Participants were randomly assigned to watch either an alarmist (N = 22) or control video (N = 22) before completing a series of sham and active radiofrequency (RF) EMF exposure provocation trials (2 open-label, followed by 12 randomized, double-blind, counterbalanced trials). Pre- and post-video state anxiety and risk perception, as well as belief of exposure and symptom ratings during the open-label and double-blind provocation trials, were assessed. Symptoms were higher in the open-label RF-ON than RF-OFF trial (p <.001). No difference in either symptoms (p =.183) or belief of exposure (p =.144) was observed in the double-blind trials. Participants who viewed the alarmist video had a significant increase in symptoms (p =.041), state anxiety (p <.01) and risk perception (p <.001) relative to the control group. These results reveal the crucial role of awareness and belief in the presentation of symptoms during perceived exposure to EMF, showing that healthy participants exhibit a nocebo response, and that alarmist media reports emphasizing adverse effects of EMF also contribute to a nocebo response.

2018 Elsevier Ltd Background: The aim of this study was to quantify RF-EMF exposure applying a tested protocol of RF-EMF exposure measurements using portable devices with a high sampling rate in different microenvironments of Switzerland, Ethiopia, Nepal, South Africa, Australia and the United States of America. Method: We used portable measurement devices for assessing RF-EMF exposure in 94 outdoor microenvironments and 18 public transport vehicles. The measurements were taken either by walking with a backpack with the devices at the height of the head and a distance of 20-30 cm from the body, or driving a car with the devices mounted on its roof, which was 170-180 cm above the ground. The measurements were taken for about 30 min while walking and about 15-20 min while driving in each microenvironment, with a sampling rate of once every 4 s (ExpoM-RF) and 5 s (EME Spy 201). Results: Mean total RF-EMF exposure in various outdoor microenvironments varied between 0.23 V/m (non-central residential area in Switzerland) and 1.85 V/m (university area in Australia), and across modes of public transport between 0.32 V/m (bus in rural area in Switzerland) and 0.86 V/m (Auto rickshaw in urban area in Nepal). For most outdoor areas the major exposure contribution was from mobile phone base stations. Otherwise broadcasting was dominant. Uplink from mobile phone handsets was generally very small, except in Swiss trains and some Swiss buses. Conclusions: This study demonstrates high RF-EMF variability between the 94 selected microenvironments from all over the world. Exposure levels tended to increase with increasing urbanity. In most microenvironments downlink from mobile phone base stations is the most relevant contributor.

This chapter explores the anecdotal and objective evidence regarding perceived sensitivity to electromagnetic field (EMF). It first discusses the history and prevalence of electromagnetic hypersensitivity (EHS) and provides a brief overview of the symptoms that have been anecdotally reported to be caused by EMF exposure. The chapter then reviews some of the treatments and interventions offered to EHS sufferers. In 2004, the World Health Organization (WHO) proposed that the term idiopathic environmental intolerance attributed to EMFs (IEI‐EMF) be used in place of EHS, in order to avoid implying a causal role of EMF in producing the reported symptoms. While epidemiological studies attempt to bridge the gap between the anecdotal reports of IEI‐EMF and the controlled laboratory studies investigating the causal role of EMF exposure in producing the reported symptoms, these studies face serious methodological limitations, especially in regards to exposure characterization.

BACKGROUND: In 2017, the Australian Government funded the update of the National Physical Activity Recommendations for Children 0-5 years, with the intention that they be an integration of movement behaviours across the 24-h period. The benefit for Australia was that it could leverage research in Canada in the development of their 24-h guidelines for the early years. Concurrently, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group published a model to produce guidelines based on adoption, adaption and/or de novo development using the GRADE evidence-to-decision framework. Referred to as the GRADE-ADOLOPMENT approach, it allows guideline developers to follow a structured and transparent process in a more efficient manner, potentially avoiding the need to unnecessarily repeat costly tasks such as conducting systematic reviews. The purpose of this paper is to outline the process and outcomes for adapting the Canadian 24-Hour Movement Guidelines for the Early Years to develop the Australian 24-Hour Movement Guidelines for the Early Years guided by the GRADE-ADOLOPMENT framework. METHODS: The development process was guided by the GRADE-ADOLOPMENT approach. A Leadership Group and Consensus Panel were formed and existing credible guidelines identified. The draft Canadian 24-h integrated movement guidelines for the early years best met the criteria established by the Panel. These were evaluated based on the evidence in the GRADE tables, summaries of findings tables and draft recommendations from the Canadian Draft Guidelines. Updates to each of the Canadian systematic reviews were conducted and the Consensus Panel reviewed the evidence for each behaviour separately and made a decision to adopt or adapt the Canadian recommendations for each behaviour or create de novo recommendations. An online survey was then conducted (n = 302) along with five focus groups (n = 30) and five key informant interview

Purpose: To investigate whether exposure to pulse modulated radiofrequency (PM RF) influences human cognitive performance, and whether it does so in a dose-dependent manner. Materials and methods: Thirty-six healthy adults participated in a randomized, double-blind, counterbalanced provocation study. Cognitive performance was assessed using a visual discrimination task and a modified Sternberg working memory task, which were calibrated to individual performance levels in a preliminary testing session. An sXh920 planar exposure system was used to generate a 920 MHz GSM-like signal, providing three conditions (peak-spatial SAR averaged over 10 g) of 0 W/kg (sham), 1 W/kg (low RF) and 2 W/kg (high RF). Results: A significant decrease in reaction time (RT) in the Sternberg working memory task was found during exposure compared to sham. This effect was not dose-dependent. Conclusions: Cognitive performance was shown to be faster under PM RF conditions, relative to sham, in a working memory task. While the majority of the literature has not found effects of PM RF exposure on cognitive performance, it is possible that the methodological improvements employed in the present study increased sensitivity, and thus the ability to detect potential effects.

On 16th February, Catalyst aired an episode on the ABC titled "Wi-Fried", hosted by Dr Maryanne Demasi, claiming that radiation from mobile phones and Wi-Fi may constitute a brain cancer risk. We invited experts who have conducted research into this area to respond to the claims made in the programme.

Sleep is an essential part of our development and wellbeing. It is important for learning and memory, emotions and behaviours, and our health more generally. Yet the total amount of sleep that children and adolescents are getting is continuing to decrease. Why? Although there are potentially many reasons behind this trend, it is emerging that screen time - by way of watching television or using computers, mobile phones and other electronic mobile devices - may be having a large and negative impact on children's sleep.

Screen time - watching television, DVDs, or using other electronic media devices such as mobile phones and iPads - is now a major part of our daily lives. It is virtually impossible to avoid exposure to these technologies. Yet that is exactly what the Department of Health and Ageing in Australia recommends for children younger than two years of age. This recommendation is based on guidelines set by the American Academy of Pediatrics in 1999, which it now says could be obsolete in the digital age. The academy did an update in 2011 but the recommendations remained largely unchanged. There is no question that excessive screen time can have negative impacts on children's sleep as well as development more generally. But is there sufficient evidence that screen time should be completely eradicated in this age group, as these guidelines indicate? The Australian guidelines make several claims to support this recommendation. One is that screen time may leave less time for active play and social interaction with others. The other main claim is that there is no evidence that health, intellectual or language benefits are gained from screen-based activities in children under two years of age. Therefore, with the possibility of adverse effects, combined with no benefits from screen time, the advice of no screen time for little ones would seem to make a lot of sense. But the situation is not that simple, and the evidence is not that clear. There are some important aspects of these guidelines that bring into question the recommendations being made, particularly in Australia. Firstly, screen time and media use were discouraged for those under two years of age, which is in contrast to the very strict instruction of no screen time at all proposed in Australia. This is an important distinction; discouraging and limiting electronic media use is a much more attainable goal than completely eradicating it from children's lives.

Electromagnetic fields are all around us. They are a part of our natural environment, produced by the Earth and the sun. But they are also becoming increasingly prominent with advancements in technology, such that we are surrounded daily by many different sources of electromagnetic energy. Mobile phones, Wi-Fi, personal computers, smart meters, radio, television and even the TV remote control - they all emit this kind of energy. Mobile phone base stations are continually being installed, and Wi-Fi hotspots are increasing all of the time. Cafés and restaurants, libraries, hotels and even some city centres and parks now offer free Wi-Fi. But with all of this new infrastructure it is also getting harder to avoid exposure to the electromagnetic fields that these technologies emit. And the question often asked is what does all of this exposure mean for our health? It is an issue that has continued to gain exposure, culminating this month in what's being touted as a "breakthrough" case, with a French woman being awarded compensation for an allergy to Wi-Fi. Martine Richard, who suffers from what is called electromagnetic hypersensitivity (EHS), was granted disability payments due to claims that her symptoms, which she attributes to electromagnetic energy, prevent her from being able to work. This ruling was made despite the science saying that no relationship between exposure to these fields and symptoms exists. So what is EHS, what do we know and what don't we know about this condition? And what does this case mean for the future?

presented at the 23rd Australasian Society for Psychophysiology Conference, 20-22 Nov 2013, Wollongong, Australia.

Background: The human waking EEG spectrum shows high heritability and stability and, despite maturational cortical changes, high test-retest reliability in children and teens. These phenomena have also been shown to be region specific. We examined the stability of the morphology of the wake EEG spectrum in children aged 11 to 13 years recorded over weekly intervals and assessed whether the waking EEG spectrum in children may also be traitlike. Three minutes of eyes open and three minutes of eyes closed waking EEG was recorded in 22 healthy children once a week for three consecutive weeks. Eyes open and closed EEG power density spectra were calculated for two central (C3LM and C4LM) and two occipital (O1LM and O2LM) derivations. A hierarchical cluster analysis was performed to determine whether the morphology of the waking EEG spectrum between 1 and 20 Hz is trait-like. We also examined the stability of the alpha peak using an ANOVA. Results: The morphology of the EEG spectrum recorded from central derivations was highly stable and unique to an individual (correctly classified in 85% of participants), while the EEG recorded from occipital derivations, while stable, was much less unique across individuals (correctly classified in 42% of participants). Furthermore, our analysis revealed an increase in alpha peak height concurrent with a decline in the frequency of the alpha peak across weeks for occipital derivations. No changes in either measure were observed in the central derivations. Conclusions: Our results indicate that across weekly recordings, power spectra at central derivations exhibit more "trait-like" characteristics than occipital derivations. These results may be relevant for future studies searching for links between phenotypes, such as psychiatric diagnoses, and the underlying genes (i.e., endophenotypes) by suggesting that such studies should make use of more anterior rather than posterior EEG derivations.

Mobile phone exposure-related effects on the human electroencephalogram (EEG) have been shown during both waking and sleep states, albeit with slight differences in the frequency affected. This discrepancy, combined with studies that failed to find effects, has led many to conclude that no consistent effects exist. We hypothesised that these differences might partly be due to individual variability in response, and that mobile phone emissions may in fact have large but differential effects on human brain activity. Twenty volunteers from our previous study underwent an adaptation night followed by two experimental nights in which they were randomly exposed to two conditions (Active and Sham), followed by a full-night sleep episode. The EEG spectral power was increased in the sleep spindle frequency range in the first 30 min of non-rapid eye movement (non-REM) sleep following Active exposure. This increase was more prominent in the participants that showed an increase in the original study. These results confirm previous findings of mobile phone-like emissions affecting the EEG during non-REM sleep. Importantly, this low-level effect was also shown to be sensitive to individual variability. Furthermore, this indicates that previous negative results are not strong evidence for a lack of an effect and, given the far-reaching implications of mobile phone research, we may need to rethink the interpretation of results and the manner in which research is conducted in this field

To test whether exposure to the emissions from a digital mobile phone handset prior to sleep alters the secretion of melatonin. Materials and methods: In a double-blind cross-over design, 55 adult volunteers were both actively exposed or shamexposed (in random order on successive Sunday nights) to mobile phone emissions for 30 min (0.25 W average power). Urine collection occurred immediately prior to retiring to bed and on rising the next morning. Melatonin output was estimated from principal metabolite concentrations (6-sulphatoxymelatonin (aMT6s) via radioimmunoassay), urine volumes and creatinine concentrations. Results: Total melatonin metabolite output (concentration6urine volume) was unchanged between the two exposure conditions (active 14.1+1.1 mg; sham 14.6+1.3 mg). The pre- and post-bedtime outputs considered separately were also not significantly different, although the pre-bedtime value was less for active versus sham exposure. When melatonin metabolite output was estimated from the ratio of aMT6s to creatinine concentrations, the pre-bedtime value was significantly less (p¼0.037) for active compared to sham. Examination of individual responses is suggestive of a small group of ‘responders’. Conclusions: Total nighttime melatonin output is unchanged by mobile phone handset emissions, but there could be an effect on melatonin onset time.