Exposure to radiofrequency (RF) radiation was classified as a possible human carcinogen, Group 2B, by the International Agency for Research on Cancer at WHO in 2011. Outdoor RF radiation levels were measured during five tours in Stockholm Old Town in April, 2016 using the EME Spy 200 exposimeter with 20 predefined frequencies. The results were based on 10,437 samples in total. The mean level of the total RF radiation was 4,293 μW/m2 (0.4293 μW/cm2). The highest mean levels were obtained for global system for mobile communications (GSM) + universal mobile telecommunications system (UMTS) 900 downlink and long‑term evolution (LTE) 2600 downlink (1,558 and 1,265 μW/m2, respectively). The town squares displayed highest total mean levels, with the example of Järntorget square with 24,277 μW/m2 (min 257, max 173,302 μW/m2). Measurements in the streets surrounding the Royal Castle were lower than the total for the Old Town, with a mean of 756 μW/m2 (min 0.3, max 50,967 μW/m2). The BioInitiative 2012 Report defined the scientific benchmark for possible health risks as 30‑60 μW/m2. Our results of outdoor RF radiation exposure at Stockholm Old Town are significantly above that level. The full report can be found here.
We measured the radiofrequency (RF) radiation at the Stockholm Central Station in Sweden in November 2015. The full study can be read here. The exposimeter EME Spy 200 was used and it covers 20 different RF bands from 88 to 5,850 MHz. In total 1,669 data points were recorded. The median value for total exposure was 921 µW/m2 (or 0.092 μW/cm2; 1 μW/m2=0.0001 μW/cm2) with some outliers over 95,544 µW/m2 (6 V/m, upper detection limit). The mean total RF radiation level varied between 2,817 to 4,891 µW/m2 for each walking round.
Hot spots were identified, for example close to a wall mounted base station yielding over 95,544 µW/m2 and thus exceeding the exposimeter’s detection limit, see Figure below. A man is standing with his smartphone just a couple of meters below a base station (see arrow). In that area maximum measured power density in the GSM +UMTS 900 downlink band from the base station was 95,544 µW/m2, which is the upper limit of measurement for EME Spy 200.
Almost all of the total measured levels were above the precautionary target level of 3 to 6 µW/m2 as proposed by the BioInitiative Working Group in 2012. That target level was one-tenth of the scientific benchmark providing a safety margin either for children, or chronic exposure conditions. Considering the rapid progress of this technology, including 5G that is to be launched in the near future, it is important to monitor current RF radiation exposure in the environment.
There is growing international concern on the biased representation of persons in the preparation of the WHO Monograph on Radiofrequency Radiation. As discussed earlier the group is dominated by members of ICNIRP. In fact the Ethical Board at the Karolinska Institute in Stockholm, Sweden concluded already in 2008 that being a member of ICNIRP may be a conflict of interest that should be stated in scientific publications (Karolinska Institute Diary Number 3753-2008-609).
A recent letter to WHO written by members of the BioInitiative Working Group describes the unbalanced ‘no-risk’ group at WHO preparing the document. The full text may be read here.
In a new report analysis was made of studies on use of e.g. mobile phones and tablets and sleep and tiredness. The report included analysis of 20 cross-sectional studies of children and adolescents aged 6-19 years, in total more than 125,000 subjects. Use of media devices during bedtime gave about doubled risk for inadequate sleep, poor sleep and tiredness daytime. Also if these devices were not actively used an increased risk, although lower, was found for these health problems.
In USA 72 % of children and 89 % of adolescents have access to at least one media device. Most of them use it during bedtime.
Various pathways were discussed for the negative sleep impact: “First, they may negatively influence sleep by directly displacing, delaying, or interrupting sleep time. Second, the content can be psychologically stimulating, and, third, the light emitted from devices affects circadian timing, physiological sleep, and alertness.”
It is remarkable that the authors do not discuss exposure to radiofrequency (RF) fields (electromagnetic radiation) as a contributing factor. Wireless devices such as mobile phones (smartphones) emit RF radiation also when they are not used; updating apps, internet, SMS etc. This passive exposure may have contributed to the sleep disturbances in persons that did not actively use them. The authors seem to have been unwilling to discuss RF radiation. In fact studies on electromagnetic radiation were excluded. Also wireless use of desktops and computers would have been of interest. The authors stated:
“The exclusion criteria were studies of stationary exposures, such as televisions or desktop or personal computers, or studies investigating electromagnetic radiation.”