Sleep after mobile phone exposure in subjects with mobile phone-related symptoms.
Lowden A, Akerstedt T, Ingre M, Wiholm C, Hillert L, Kuster N, Nilsson JP, Arnetz B. · 2011
View Original AbstractMobile phone radiation at typical use levels reduces deep sleep by 12% and delays sleep onset, disrupting critical overnight recovery processes.
Plain English Summary
Researchers exposed 48 people to cell phone radiation for 3 hours before bedtime. The radiation reduced deep sleep by 12% and delayed its onset by nearly 5 minutes, demonstrating that phone exposure can measurably disrupt sleep quality even without users noticing.
Why This Matters
This controlled laboratory study provides compelling evidence that mobile phone radiation disrupts sleep architecture at exposure levels similar to what you experience during phone calls. The 1.4 W/kg SAR level used falls within the range of typical mobile phone emissions, making these findings directly relevant to everyday use. What makes this research particularly significant is that it was double-blind - neither researchers nor participants knew when real versus fake exposure occurred, eliminating placebo effects. The 12% reduction in restorative deep sleep is substantial and could have meaningful health implications over time, as slow-wave sleep is critical for memory consolidation, immune function, and physical recovery. The science demonstrates that your brain continues responding to RF radiation even after exposure ends, with measurable changes persisting throughout the night.
Exposure Details
- SAR
- 1.4 W/kg
- Source/Device
- 884 MHz
Exposure Context
This study used 1.4 W/kg for SAR (device absorption):
- 3.5x above the Building Biology guideline of 0.4 W/kg
Building Biology guidelines are practitioner-based limits from real-world assessments. BioInitiative Report recommendations are based on peer-reviewed science. Check Your Exposure to compare your own measurements.
Where This Falls on the Concern Scale
Study Details
We investigated the effects of a double-blind radiofrequency exposure (884 MHz, GSM signaling standard including non-DTX and DTX mode, time-averaged 10 g psSAR of 1.4 W/kg) on self-evaluated sleepiness and objective EEG measures during sleep.
Forty-eight subjects (mean age 28 years) underwent 3 h of controlled exposure (7:30-10:30 PM; active...
The results demonstrated that following exposure, time in Stages 3 and 4 sleep (SWS, slow-wave sleep...
The results confirm previous findings that RF exposure increased the EEG alpha range in the sleep EEG, and indicated moderate impairment of SWS. Furthermore, reported differences in sensitivity to mobile phone use were not reflected in sleep parameters.
Show BibTeX
@article{a_2011_sleep_after_mobile_phone_1163,
author = {Lowden A and Akerstedt T and Ingre M and Wiholm C and Hillert L and Kuster N and Nilsson JP and Arnetz B.},
title = {Sleep after mobile phone exposure in subjects with mobile phone-related symptoms.},
year = {2011},
url = {https://pubmed.ncbi.nlm.nih.gov/20857453/},
}Cited By (85 papers)
- Effect of microwave radiation on human EEG at two different levels of exposureInfluential
Anna Suhhova et al. (2013) - 30 citations
- Electromagnetic Waves
N. Deruelle, J. Uzan (2018) - 524 citations
- Bedtime mobile phone use and sleep in adults.
Liese Exelmans, J. Van den Bulck (2016) - 371 citations
- Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias.
T. Arora et al. (2014) - 248 citations
- EUROPAEM EMF Guideline 2016 for the prevention, diagnosis and treatment of EMF-related health problems and illnesses
I. Belyaev et al. (2016) - 212 citations
- Impacts of technology use on children
Francesca Gottschalk (2019) - 116 citations
- Specific electromagnetic radiation in the wireless signal range increases wakefulness in mice
Lingyu Liu et al. (2021) - 113 citations
- Effects of Radiofrequency Electromagnetic Radiation on Neurotransmitters in the Brain
Cuicui Hu et al. (2021) - 110 citations
- Influence of Electric, Magnetic, and Electromagnetic Fields on the Circadian System: Current Stage of Knowledge
B. Lewczuk et al. (2014) - 102 citations