Attitudes and Behaviors of University Students Towards Electromagnetic Radiation of Cell Phones and Wireless Networks

Leonidas Gavrilas; Konstantinos T. Kotsis; Marianna-Sotiria Papanikolaou

doi:10.30935/aquademia/12393

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Leonidas Gavrilas ¹ ^* , Konstantinos T. Kotsis ¹ , Marianna-Sotiria Papanikolaou ¹

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¹ Department of Primary Education, School of Education, University of Ioannina, Ioannina, GREECE^* Corresponding Author

Abstract

The research into the electromagnetic radiation of mobile phones and wireless networks is relatively small, although they are some of the devices that people use daily. The study aimed to investigate the attitudes and behaviors of college students about electromagnetic radiation from mobile phones and wireless networks, as well as to examine the impact of the curricula of the university departments in which they study. The study involved 619 students from six different university departments. Data collection was performed using a closed-ended questionnaire. The general conclusion of the research was that students have incomplete knowledge about the electromagnetic radiation emitted by mobile phones and wireless networks, while at the same time they have a negative attitude and consider it dangerous to the health of living organisms. However, their behaviors regarding the protection of their health do not match with the attitudes they have formed, while in the majority they are significantly related to the university department in which they study.

Keywords

attitudes
behaviors
electromagnetic radiation
students
cell phones
wireless networks

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

AQUADEMIA, Volume 6, Issue 2, 2022, Article No: ep22009

https://doi.org/10.30935/aquademia/12393

Publication date: 23 Aug 2022

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References

Abrami, P. (2008). Instructional interventions affecting critical thinking skills and dispositions: A stage 1 meta-analysis. Review of Educational Research, 78(4), 1102-1134. https://doi.org/10.3102/0034654308326084
Abramson, M., Benke, G., Dimitiadis, C., Inyang, I., Sim, M., Wolfe, R., & Croft, R. (2009). Mobile telephone use is associated with changes in cognitive functions in young adolescents. Bioelectromagnetics, 30, 678-686. https://doi.org/10.1002/bem.20534
Agresti, A. (2002). Categorical data analysis. John Wiley & Sons, Inc. https://doi.org/10.1002/0471249688
Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. In D. Albarracín, B. T. Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (ISBN: 1138648256, pp. 173-221). Lawrence Erlbaum Associates Publishers.
Al Khelaiwi, T., & Meo, S. (2004). Association of mobile phone radiation with fatigue, headache, dizziness, tension and sleep disturbances in Saudi. Saudi Medical Journal, 25(6), 732-736. https://pubmed.ncbi.nlm.nih.gov/15195201/
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40(4), 471-499. https://doi.org/10.1348/014466601164939
Bagozzi, R. P. (1981). Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607-627. https://doi.org/10.1037/0022-3514.41.4.607
Baste, V., Riise, T., & Moen, B. (2008). Radiofrequency electromagnetic fields; male infertility and sex ratio of offspring. European Journal of Epidemiology, 23(5), 369-377. https://doi.org/10.1007/s10654-008-9236-4
Behar-Horenstein, L., & Niu, L. (2011). Teaching critical thinking skills in higher education: A review of the literature. Journal of College Teaching and Learning, 8(2), 25-42. https://doi.org/10.19030/tlc.v8i2.3554
Bernroider, E., Krumay, B., & Margiol, S. (2014). Not without my smartphone! Impacts of smartphone addiction on smartphone usage. In Proceedings of the 25^th Australasian Conference on Information Systems (pp. 1-10). http://hdl.handle.net/10292/8146
Bhardwaj, M., & Ashok, S. J. (2015). Mobile phone addiction and loneliness among teenagers. The International Journal of Indian Psychology 2(3), 27-34. https://doi.org/10.25215/0203.062
Bhattacherjee, A., & Sanford, C., (2006). When attitudes do not predict behavior: A study of attitude strength. In Proceedings of the 12^th Americas Conference on Information Systems (pp. 1071-1075). https://aisel.aisnet.org/amcis2006/144
Blettner, M., Schlehofer, B., Brekenkamp, J., Kowall, B., Schmiedel, S., Reis, U., Potthoff, P., Schuz, J., & Berg-Beckhoff, G. (2009). Mobile phone base stations and adverse health effects: Phase 1: A population-based cross-sectional study in Germany. Occupational and Environmental Medicine, 66(2), 118-123. https://doi.org/10.1136/oem.2007.037721
Burcin, S., & Ince, E. (2010). Internet as a source of misconception: “Radiation and radioactivity”. Turkish Online Journal of Educational Technology, 9(4), 94-100. http://www.tojet.net/articles/v9i4/949.pdf
Capik, C., & Gozum, S. (2015). Psychometric features of an assessment instrument with likert and dichotomous response formats. Public Health Nursing, 32(1), 81-86. https://doi.org/10.1111/phn.12156
Carlberg, M., & Hardell, L. (2012). On the association between glioma, wireless phones, heredity and ionising radiation. Pathophysiology, 19, 243-252. https://doi.org/10.1016/j.pathophys.2012.07.001
Cousin, M.-E., & Siegrist, M. (2008). Laypeople’s health concerns and health beliefs in regard to risk perception of mobile communication. Human and Ecological Risk Assessment: An International Journal, 14(6), 1235-1249. https://doi.org/10.1080/10807030802494550
Dixit, S., Shukla, H., Bhagwat, A., Bindal, A., Goyal, A., Zaidi, A., & Shrivastava, A. (2010). A study to evaluate mobile phone dependence among students of a medical college and associated hospital of central India. Indian Journal of Community Medicine: Official Publication of Indian Association of Preventive & Social Medicine, 35(2), 339-341. https://doi.org/10.4103/0970-0218.66878
Dodge, Y. (2008). The concise encyclopedia of statistics. Springer. https://doi.org/10.1007/978-0-387-32833-1
Dresselhaus, A., & Shrode, F. (2012). Mobile technologies & academics: Do students use mobile technologies in their academic lives and are librarians ready to meet this challenge? Information Technology and Libraries, 31(2), 82-101. https://doi.org/10.6017/ital.v31i2.2166
FCC. (2009). Specific absorption rate (SAR) for cellular telephones. Federal Communications Commission. https://www.fcc.gov/general/specific-absorption-rate-sar-cellular-telephones
Fowler, J., & Noyes, J. (2017). A study of the health implications of mobile phone use in 8-14s. DYNA, 84(200), 228-233. https://doi.org/10.15446/dyna.v84n200.62156
Gagan, S., & Rakesh, P. (2013). Use of Internet for research and educational activities by research scholars: A study of D.S.B. campus of Kumaun. University-Nainital. International Journal of Engineering and Management Sciences, 4(2), 193-199. https://www.researchgate.net/publication/274377068_USE_OF_INTERNET_FOR_RESEARCH_AND_EDUCATIONAL_ACTIVITIES_BY_RESEARCH_SCHOLARS_A_STUDY_OF_DSB_CAMPUS_OF_KUMAUN_UNIVERSITY_-_NAINITAL/link/551cee940cf2909047bcb305/download
Gautam S., & Shakya, J. (2016). Knowledge regarding harmful effects on cell phone use among higher secondary school students Bharatpur Chitwan Nepal. Journal of Chitwan Medical, 6(18), 47-53. https://doi.org/10.3126/jcmc.v6i4.16715
Gavrilas, L. (2017). Perceptions of University students on electromagnetic pollution of information and communications technology equipment [Postgraduate dissertation, University of Ioannina, Ioannina, Greece]. http://dx.doi.org/10.26268/heal.uoi.1923
Glasman, L. R., & Albarracín, D. (2006). Forming attitudes that predict future behavior: A meta-analysis of the attitude-behavior relation. Psychological Bulletin, 132(5), 778-822. https://doi.org/10.1037/0033-2909.132.5.778
Glen, S. (2016). “Kuder-Richardson 20 (KR-20) & 21 (KR-21)”. Elementary statistics for the rest of us. https://www.statisticshowto.com/kuder-richardson/
Government Advice. (2022). Wired child, protecting our children from wireless technology. http://wiredchild.org/government-alias.html
Gullone, E., & Moore, S. (2000). Adolescent risk-taking and the five-factor model of personality. Journal of Adolescence, 23, 393-407. https://doi.org/10.1006/jado.2000.0327
Gustaffson, E., Johnson, P., Lindegard, A., & Hagberg, M. (2011). Technique, muscle activity, kinematic differences in young adults texting on mobile phones. Ergonomics, 54, 477-487. https://doi.org/10.1080/00140139.2011.568634
Han, S., & Yi, Y. (2018). How does the smartphone usage of college students affect academic performance? Journal of Computer Assisted Learning, 35(1), 3-22. https://doi.org/10.1111/jcal.12306
Hassoy, H., Durusoy, R., & Karababa, A. (2013). Adolescents’ risk perceptions on mobile phones and their base stations, their trust to authorities and incivility in using mobile phones: A cross-sectional survey on 2240 high school students in Izmir, Turkey. Environmental Health, 12(10), 1-10. https://doi.org/10.1186/1476-069x-12-10
Hepworth, S., Schoemaker, M., Muir, K., Swerdlow, A., Tongeren, M., & McKinney, P. (2006). Mobile phone use and risk of glioma in adults: Case control study. British Medical Journal, 332, 883-887. https://doi.org/10.1136/bmj.38720.687975.55
Howe, L. C., & Krosnick, J. A. (2017). Attitude strength. Annual Review of Psychology, 68, 327-351. https://doi.org/10.1146/annurev-psych-122414-033600
IARC. (2011). IARC classifies radiofrequency electromagnetic fields as possibly carcinogenic to humans. World Health Organisation. https://www.iarc.who.int/pressrelease/iarc-classifies-radiofrequency-electromagnetic-fields-as-possibly-carcinogenic-to-humans/
ICNIRP. (2009). Exposure to high frequency electromagnetic fields, biological effects and health consequences (100 kHz-300 GHz). International Commission on Non-Ionizing Radiation Protection. https://www.icnirp.org/en/publications/article/hf-review-2009.html
Jun, S. (2016). The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Computers in Human Behavior, 58, 179-186. https://doi.org/10.1016/j.chb.2015.12.061
Kamibeppu, K., & Sugiura, H. (2005). Impact of the mobile phone on junior high-school students’ friendships in the Tokyo Metropolitan Area. CyberPsychology and Behavior, 8(2), 121-130. https://doi.org/10.1089/cpb.2005.8.121
Kang, S., & Jung, J. (2014). Mobile communication for human needs: A comparison of smartphone use between the US and Korea. Computers in Human Behavior, 35(1), 76-387. https://doi.org/10.1016/j.chb.2014.03.024
Kasesniemi, E., & Rautiainen, P. (2002). Mobile culture of children and teenagers in Finland. In J. Katz, & M. Aakhus (Eds.), Perpetual contact: Mobile communication, private talk, public performance (pp. 170-192). Cambridge University Press. https://doi.org/10.1017/CBO9780511489471.014
Klaeboe, L., Blaasaas, K., & Tynes, T. (2007). Use of mobile phones in Norway and risk of intracranial tumours. European Journal of Cancer Prevention, 16, 158-164. https://doi.org/10.1097/01.cej.0000203616.77183.4c
Klein, G., & Dabney, A. (2013). The cartoon introduction to statistics. Hill & Wamg.
Kraus, S. J. (1995). Attitudes and the prediction of behavior: A meta-analysis of the empirical literature. Personality and Social Psychology Bulletin, 21(1), 58-75. https://doi.org/10.1177/0146167295211007
Kristiansen, I. S., Elstein, A. S., Gyrd-Hansen, D., Kildemoes, H. W., & Nielsen, J. B. (2009). Radiation from mobile phone systems: Is it perceived as a threat to people’s health? Bioelectromagnetics, 30(5), 393-401. https://doi.org/10.1002/bem.20484
Krithika, M., & Vasantha, S. (2013). The mobile phone usage among teens and young adults impact of invading technology. International Journal of Innovative Research in Science, Engineering and Technology, 2(12), 7259-7265. https://www.ijirset.com/upload/2013/december/29_The-Mobile.pdf
Kumar, D., & Sriram, A. (2018). The attitude towards smartphones and its influence on process, social and compulsive usage. Athens Journal of Mass Media and Communications, 4(4), 301-318. https://doi.org/10.30958/ajmmc.4-4-4
Kumar, L., Chii, K., Way, L., Jetly, Y., & Rajendaran, V. (2011). Awareness of mobile phone hazards among university students in a Malaysian medical school. Health 3(7), 406-415. https://doi.org/10.4236/health.2011.37068
Kuss, D., Harkin, L., Kanjo, E., & Billieux, J. (2018). Problematic smartphone use: Investigating contemporary experiences using a convergent design. International Journal of Environmental Research and Public Health, 15(1), 1-16. https://doi.org/10.3390/ijerph15010142
Lee, H. S., Addicott, M., Martin, L. E., Harris, K. J., Goggin, K., Richter, K. P., Patten, C. A., McClernon, F. J., Fleming, K., & Catley, D. (2017). Implicit attitudes and smoking behavior in a smoking cessation induction trial. Nicotine & Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco, 20(1), 58-66. https://doi.org/10.1093/ntr/ntw259
Levitt, B., & Lai, H. (2010). Biological effects from exposure to electromagnetic radiation emitted by cell tower base stations and other antenna arrays. Environment, 18, 369-395. https://doi.org/10.1139/A10-018
Lonn, S., Ahlbom, A., Hall, P., & Feychting, M. (2005). Long-term mobile phone use and brain tumor risk. American Journal of Epidemiology, 161, 526-535. https://doi.org/10.1093/aje/kwi091
Mantel, N. (1963). Chi-square tests with one degree of freedom; extensions of the Mantel-Haenszel procedure. Journal of the American Statistical Association, 58(303), 690-700. https://doi.org/10.2307/2282717
Marin, L., & Halpern, D. (2011). Pedagogy for developing critical thinking in adolescents: Explicit instruction produces greatest gains. Thinking Skills and Creativity, 6(1), 1-13. https://doi.org/10.1016/j.tsc.2010.08.002
Martha, C., & Griffet, J. (2007). Brief report: How do adolescents perceive the risks related to cell-phone use? Journal of Adolescence, 30, 513-521. https://doi.org/10.1016/j.adolescence.2006.11.008
McEvov, S., Stevenson, M., Mccertt, A., Woodward, M., & Haworth, C. (2005). Role of mobile phone in motor vehicle crashes resulting in hospital attendance in Sydney. British Medical Journal, 20(4), 331-428. https://doi.org/10.1136/bmj.38537.397512.55
Meena, J. K., Verma, A., Kohli, C., & Ingle, G. K. (2016). Mobile phone use and possible cancer risk: Current perspectives in India. Indian Journal of Occupational and Environmental Medicine, 20(1), 5-9. https://doi.org/10.4103/0019-5278.183827
Muhanna, W., & Abu AlShar, A. (2009). University students attitudes towards cell phone learning environment. International Journal of Interactive Mobile Technologies, 3(4), 35-40. https://doi.org/10.3991/ijim.v3i4.1068
Nasser, S., Amer, N., Ghobashi, M., Morcos, G., Hafez, S., Shaheen, W., & Helmy, M. (2018). Knowledge, attitude, and practices (KAP) study and antioxidant status among mobile phone users. Bioscience Research, 15(4), 3658-3664. https://www.isisn.org/BR15(4)2018/3658-3664-15(4)2018BR18-525.pdf
Neumann, S. (2014). Three misconceptions about radiation, and what we teachers can do to confront them. American Association of Physics Teachers, 52(6), 357-359. https://doi.org/10.1119/1.4893090
Neumann, S., & Hopf, M. (2012). Students’ conceptions about ‘radiation’: Results from an explorative interview study of 9th grade students. Journal of Science Education and Technology, 21, 826-834. https://doi.org/10.1007/S10956-012-9369-9
Omar, M., Ahmad, M., Yasin, A., Ibrahim, H., Ghazali, O., & Khamis, S. (2018). The impact of Wi-Fi usage on students’ academic performance. International Journal of Engineering and Technology, 7(4), 240-244. https://www.sciencepubco.com/index.php/ijet/article/download/22057/10733
Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105-114. https://doi.org/10.1007/s00779-011-0412-2
Pearson, J. C., Carmon, A., Tobola, C., & Fowler, M. (2010). Motives for communication: Why the millennial generation uses electronic devices. Journal of the Communication. Speech & Theatre Association of North Dakota, 22, 45-56. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.457.8173&rep=rep1&type=pdf#page=53
Pendse, N., & Zagade, T. (2014). Knowledge and attitude regarding health hazards of mobile phone users among the junior college students. International Journal of Science and Research, 3(5), 554-561. https://www.ijsr.net/archive/v3i5/MDIwMTMxODU2.pdf
Piper, B., Daily, S., Martin, S., & Martin, M. (2019). Evaluation of a brief intervention to reduce cell phone use in college students. medRxiv, 1-30. https://doi.org/10.1101/19009241
Quaigrain, K., & Arhin, K. (2017). Using reliability and item analysis to evaluate a teacher developed test in educational measurement and evaluation. Cogent Education, 4(1), 1-11. https://doi.org/10.1080/2331186X.2017.1301013
Richardson, V. (1996). The role of attitudes and beliefs in learning to teach. In J. Sikula (Ed.), Handbook of research on teacher education (ISBN: ISBN-0-02-897194-9, pp. 102-119). Simon & Schuster Macmillan.
Sahin, Y., Balta, S., & Ercan, T. (2010). The use of Internet resources by university students during their course projects elicitation: A Case Study. Turkish Online Journal of Educational Technology, 9(2), 234-244. http://www.tojet.net/articles/v9i2/9224.pdf
Salehan, M., & Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior 29(6), 2632-2639. https://doi.org/10.1016/j.chb.2013.07.003
Shinde, M., & Patel, S. (2014). Corelation between problematic internet use and mental health in professional education students. International Journal of Science and Research, 3(2), 194-202. https://www.ijsr.net/archive/v3i2/MDIwMTM5MzE=.pdf
Siegrist, M., Earle, T., Gutsche, H., & Keller, C. (2005). Perception of mobile phone and base station risks. Risk Anal, 25, 1253-1264. https://doi.org/10.1111/j.1539-6924.2005.00672.x
Singla, A., & Gopalakrishnan, S. (2019). Mobile phone use and possible cancer risk: A review. Indian Journal of Public Health Research & Development, 10(11), 1514-1518. https://doi.org/10.5958/0976-5506.2019.03750.1
Subha, M. (2017). A survey on importance and challenges of radio waves in wireless communications. IOSR Journal of Computer Engineering, 5(7), 34-38.
Trochim, W. M. (2005). The research methods knowledge base. http://trochim.human.cornell.edu/kb/index.htm
van Deursen, A., Bolle, C., Hegner, S., & Kommers, P. (2015). The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age and gender. Computers in Human Behavior, 45, 411-420. https://doi.org/10.1016/j.chb.2014.12.039
Varshney, S., Malhotra, M., Sharma, S., & Aggarwal, P. (2018). Specific absorption rate (SAR) value of mobile phones: An awareness study among mobile users. Indian Journal of Community Health, 30(2), 156-162. https://doi.org/10.47203/IJCH.2018.v30i02.011
Walsh, S., White, K., & Young, R. (2008). Over-connected? A qualitative exploration of the relationship between Australian youth and their mobile phones. Journal of Adolescent Health, 31(1), 77-92. https://doi.org/10.1016/j.adolescence.2007.04.004
World Energy Council. (2016). World energy resources. World Energy Council. https://doi.org/10.1016/S0262-1762(16)30085-2
World Health Organization. (1998). Electromagnetic fields and public health public perception of EMF risks. World Health Organization. http://whqlibdoc.who.int/hq/1998/WHO_EHG_98.18.pdf
Yan, J., Agresti, M., Zhang, L., Yan, Y., & Matloub, H. (2009). Up regulation of specific mRNA levels in rat brain after cell phone exposure. Electromagnetic Biology and Medicine, 27(2), 147-154. https://doi.org/10.1080/15368370802072208
Zickuhrs, K. (2011). Generations and their gadgets. Pew Research Center’s Internet & American Life Project. https://www.pewresearch.org/internet/wp-content/uploads/sites/9/media/Files/Reports/2011/PIP_Generations_and_Gadgets.pdf

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APA

Gavrilas, L., Kotsis, K. T., & Papanikolaou, M.-S. (2022). Attitudes and Behaviors of University Students Towards Electromagnetic Radiation of Cell Phones and Wireless Networks. Aquademia, 6(2), ep22009. https://doi.org/10.30935/aquademia/12393

Vancouver

Gavrilas L, Kotsis KT, Papanikolaou MS. Attitudes and Behaviors of University Students Towards Electromagnetic Radiation of Cell Phones and Wireless Networks. AQUADEMIA. 2022;6(2):ep22009. https://doi.org/10.30935/aquademia/12393

AMA

Gavrilas L, Kotsis KT, Papanikolaou MS. Attitudes and Behaviors of University Students Towards Electromagnetic Radiation of Cell Phones and Wireless Networks. AQUADEMIA. 2022;6(2), ep22009. https://doi.org/10.30935/aquademia/12393

Chicago

Gavrilas, Leonidas, Konstantinos T. Kotsis, and Marianna-Sotiria Papanikolaou. "Attitudes and Behaviors of University Students Towards Electromagnetic Radiation of Cell Phones and Wireless Networks". Aquademia 2022 6 no. 2 (2022): ep22009. https://doi.org/10.30935/aquademia/12393

Harvard

Gavrilas, L., Kotsis, K. T., and Papanikolaou, M.-S. (2022). Attitudes and Behaviors of University Students Towards Electromagnetic Radiation of Cell Phones and Wireless Networks. Aquademia, 6(2), ep22009. https://doi.org/10.30935/aquademia/12393

MLA

Gavrilas, Leonidas et al. "Attitudes and Behaviors of University Students Towards Electromagnetic Radiation of Cell Phones and Wireless Networks". Aquademia, vol. 6, no. 2, 2022, ep22009. https://doi.org/10.30935/aquademia/12393