ID Number		2359
Study Type		Epidemiology
Model		Surveys on the risk perception of electromagnetic waves from cellular phones in South Korea.
Details		AUTHORS' ABSTRACT: Kim et al. 2014 (IEEE #5458): In this study, the difference between the risk perception of electromagnetic waves from cellular phones and the risk perception of other factors such as environment and food was analyzed. The cause of the difference in the psychological and social factors that affect the group with high risk perception of electromagnetic waves was also analyzed. A questionnaire survey on the risk perception of electromagnetic waves from cellular phones was carried out on 1001 subjects (men and women) over the age of 20. In the group with high risk perception of electromagnetic waves from cellular phones, women had higher risk perception than men. Logistic regression analysis, where the group with high risk perception of electromagnetic waves and the group with low risk perception were used as dependent variables, indicated that the risk perception of electromagnetic waves in women was 1.815 times statistically significantly higher than the risk perception of men (95% CI: 1.3402.457). Also, high risk perception of electromagnetic waves from cellular phones was observed when the subjects considered that they had more personal knowledge (OR: 1.416, 95% CI: 1.2161.648), that the seriousness of the risk to future generations was high (OR: 1.410, 95% CI: 1.2341.611), and their outrage for the occurrence of accidents related to electromagnetic waves was high (OR: 1.460, 95% CI: 1.2641.686). The results of this study need to be sufficiently considered and reflected in designing the risk communication strategies and communication methods for the preventive measures and advice on electromagnetic waves from cellular phones. AUTHORS' ABSTRACT: Jung and Kim 2014 (IEEE #5556): As information technologies have become embedded in daily life, end-users encounter unexpected dangers from using IT. Electromagnetic field (EMF) risk from mobile phones is an example of those dangers. In this paper, we explore how much users value their tolerance of EMF risk by scrutinizing their preference structure of mobile phone devices. The preference structure was generated from conjoint analysis including three attributes of mobile phone devices: brand, price, and electromagnetic emission. In addition, we examined four groups which were clustered based upon their preference structure. Results show that the risk is differently perceived by user clusters and approximately 80% of respondents are likely to change their mobile phone brands for better protection from EMF risk.
Findings		Not Applicable to Bioeffects
Status		Completed With Publication
Principal Investigator		Korea University, Seoul, Korea
Funding Agency		?????
Country		KOREA, REPUBLIC OF
References		Kim, K et al. Bioelectromagnetics., (2014) 35:235-244 Jung , Y et al. Telematics and Informatics., (2015) 32:57-66 Seo, MS et al. Int J Environ Res Public Health., (2020) 17:7207-
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