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|Title:||Relating Use of Mobile Phones to Reported Sleep Quality|
|Authors:||HERR Caroline; ZUR NIEDEN Anja; LINDENSTRUTH Marion; STILIANAKIS NIKOLAOS; EIKMANN Thomas|
|Citation:||Somnologie vol. 9 p. 199-202|
|Type:||Articles in periodicals and books|
|Abstract:||Aim. Effects of exposure to electromagnetic fields especially due to mobile phones on quality of sleep are discussed controversially. The aim of the presented study was to investigate possible relations between self-reported quality of sleep and quantity as well as quality of the use of mobile phones. Patients and Methods. A questionnaire based physicians’ interview focused on environmental and occupational items also assessing the use of mobile phones was conducted among volunteers. Additionally standardized questionnaires concerning somatization (SOMS 2), health related quality of life (SF-36) and personality characteristics (FPI-R) were applied. Quality of sleep was assessed with the Pittsburgh Quality Sleep Index (PSQI) by seven subscales which are be summed up to the Global PSQI. Results. Of N=132 subjects N=101 reported using a mobile phone at time of voluntary investigation. Analysis of variance was calculated for the Global PSQI including daily duration of mobile phone use and the GSM frequency as well as further variables like age, gender, working time, and total complaint index. A relevant influence for the total complaint index was found to predict sleeping quality (p=0.001). In a second step subjective stress was added to the model and found to have an influence (p<0.001) while the total complaint index was not associated anymore (p=0.626). Conclusion. Neither GSM frequency nor daily duration of mobile phone use was found to be associated with quality of sleep. Reduced quality of sleep was found to be correlated with a higher number of unexplained somatic complaints as indication of somatization disorder. Therefore this aspect should be taken into concern when evaluating quality of sleep in environmental studies. Predictors of sleep quality need to be determined as less than 20% of variance was explained by the model.|
|JRC Institute:||Sustainable Resources|
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