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Epidemiological Study (cross-sectional study)

Effects of everyday radiofrequency electromagnetic-field exposure on sleep quality: a cross-sectional study. epidemiol.

By: Mohler E, Frei P, Braun-Fahrländer C, Fröhlich J, Neubauer G, Röösli M
Published in: Radiat Res 2010; 174 (3): 347 - 356 ( open external web page PubMed Entry , open external web page Journal web site )

Aim of study (according to author)
A cross-sectional study was conducted in Switzerland to investigate the association between exposure to various sources of radiofrequency electromagnetic fields (RF EMFs) in the everyday environment and sleep quality.
Background/further details:
Exposure of each study participant was evaluated by a perdiction model (Frei et al. 2009). Self-reported cordless phone use and mobile phone use as well as mobile phone operator data for the previous six months were also included in the analyses. The different exposure measures were all classified in three categories: participants with exposure less than the median (50th percentile) served as reference group, 10 % of the most exposed participants (> 90th percentile), and the group in between the last two (50th up to 90th percentile).
Additionally, sensivity analysis and nonresponder analysis were performed.

Endpoint/type of risk estimation

Estimate of incidence by odds ratio (OR)

Exposure

groups of exposure:

Reference group 1:  far-field exposure in everyday life: < 0.18 V/m (< 50th percentile) 
group 2:  far-field exposure in everyday life: 0.18 - 0.21 V/m (50th - 90th percentile) 
group 3:  far-field exposure in everyday life: > 0.21 V/m (> 90th percentile) 
Reference group 4:  far-field exposure during night: < 0.02 V/m (< 50th percentile) 
group 5:  far-field exposure during night: 0.02 - 0.09 V/m (50th - 90th percentile) 
group 6:  far-field exposure during night: > 0.09 V/m (> 90th percentile) 
Reference group 7:  far-field exposure through fixed-site transmitters: < 0.04 V/m (< 50th percentile) 
group 8:  far-field exposure through fixed-site transmitters: 0.04 - 0.12 V/m (50th - 90th percentile) 
group 9:  far-field exposure through fixed-site transmitters: > 0.12 V/m (> 90th percentile) 
Reference group 10:  close-to-body exposure by self-reported mobile phone use: < 50th percentile 
group 11:  close-to-body exposure by self-reported mobile phone use: 50th - 90th percentile 
group 12:  close-to-body exposure by self-reported mobile phone use: > 90th percentile 
Reference group 13:  close-to-body exposure by mobile phone use (operator data): < 50th percentile 
group 14:  close-to-body exposure by mobile phone use (operator data): 50th - 90th percentile 
group 15:  close-to-body exposure by mobile phone use (operator data): > 90th percentile 
Reference group 16:  close-to-body exposure by self-reported cordless phone use: < 50th percentile 
group 17:  close-to-body exposure by self-reported cordless phone use: 50th - 90th percentile 
group 18:  close-to-body exposure by self-reported cordless phone use: > 90th percentile 

Population
Study group: men and women, aged from 30 to 60 years
Group characteristics: residents of Basel and surroundings
Observation period: May 2008
Study location: Switzerland (Basel and surroundings)
Source of data: population registry
Exclusion criteria: not Swiss resident or living less than 5 years in Switzerland; nightshift workers; users of sleeping drugs

Further parameters acquired by questionnaire (sociodemographic factors, body mass index, physical activity, smoking behaviors and alcohol consumption)

Study size i  
number total 4,000
number eligible 3,763
number participating 1,375
rate of participating 37%

Statistical analysis using logistic regression (adjusted for age, sex, residential area, socioeconomic status, education, BMI, stress perception, physical activity, smoking, alcohol, noise perception, belief in health effects due to RF EMF), linear regression

Results/conclusion (according to author)
78 % of the study participants believed that there are people who develop adverse health effects due to radiofrequency electromagnetic field exposure, 18.2 % assigned their own adverse health effects as being due to exposure and 8.1 % reported themselves as electrosensitive.
The prevalence of excessive daytime sleepiness was 29.5 %. Problematic sleeping disturbances were reported by 9.8 % of the participants. No statistically significant associations between excessive daytime sleepiness as well as sleeping disturbances and various exposure surrogates were observed.
The authors concluded that the results did not indicate an impairment of subjective sleep quality due to various exposure sources of radiofrequency electromagnetic fields (RF EMFs) in the everyday environment.

(Study character: epidemiological study, cross-sectional study)

Study funded by

  • Nationales Forschungsprogramm NFP 57 (National Research Programme NRP 57), Switzerland
  • Swiss National Science Foundation (SNF)

Related articles i
Glossary: alcohol, base station, behaviors, BMI, broadcast, cell phone, cordless phone, cross-sectional study, DECT, dosimeter, drugs, electrosensitive, EMFs, epidemiological, exposed, exposure, FM, frequency bands, GSM, health, incidence, linear, logistic regression, median, mobile communication, noise, OR, percentile, physical, population, prevalence, questionnaire, RF, significant, sleep, sleep disturbances, socioeconomic status, statistically, stress, TETRA, TV, UHF, VHF, WiFi, WLAN

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