Research Article

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

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
Aquademia, 6(2), 2022, ep22009, https://doi.org/10.30935/aquademia/12393
Published: 23 August 2022
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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.

CITATION (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

REFERENCES

  1. 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
  2. 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
  3. Agresti, A. (2002). Categorical data analysis. John Wiley & Sons, Inc. https://doi.org/10.1002/0471249688
  4. 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.
  5. 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/
  6. 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
  7. 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
  8. 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
  9. 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
  10. Bernroider, E., Krumay, B., & Margiol, S. (2014). Not without my smartphone! Impacts of smartphone addiction on smartphone usage. In Proceedings of the 25th Australasian Conference on Information Systems (pp. 1-10). http://hdl.handle.net/10292/8146
  11. 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
  12. Bhattacherjee, A., & Sanford, C., (2006). When attitudes do not predict behavior: A study of attitude strength. In Proceedings of the 12th Americas Conference on Information Systems (pp. 1071-1075). https://aisel.aisnet.org/amcis2006/144
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Dodge, Y. (2008). The concise encyclopedia of statistics. Springer. https://doi.org/10.1007/978-0-387-32833-1
  20. 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
  21. FCC. (2009). Specific absorption rate (SAR) for cellular telephones. Federal Communications Commission. https://www.fcc.gov/general/specific-absorption-rate-sar-cellular-telephones
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. Glen, S. (2016). “Kuder-Richardson 20 (KR-20) & 21 (KR-21)”. Elementary statistics for the rest of us. https://www.statisticshowto.com/kuder-richardson/
  28. Government Advice. (2022). Wired child, protecting our children from wireless technology. http://wiredchild.org/government-alias.html
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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/
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. Klein, G., & Dabney, A. (2013). The cartoon introduction to statistics. Hill & Wamg.
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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.
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. Subha, M. (2017). A survey on importance and challenges of radio waves in wireless communications. IOSR Journal of Computer Engineering, 5(7), 34-38.
  74. Trochim, W. M. (2005). The research methods knowledge base. http://trochim.human.cornell.edu/kb/index.htm
  75. 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
  76. 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
  77. 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
  78. World Energy Council. (2016). World energy resources. World Energy Council. https://doi.org/10.1016/S0262-1762(16)30085-2
  79. 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
  80. 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
  81. 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