Disposition of Mobile Phones among University Students in Nigeria

Authors

  • Bello S Computer Science and Engineering Department, Obafemi Awolowo University, Ile -Ife, Osun State, Nigeria
  • Raji O Computer Science and Engineering Department, Obafemi Awolowo University, Ile -Ife, Osun State, Nigeria

Keywords:

SAR, Social Computing, behavioural tendency, health hazard

Abstract

A number of studies on Mobile Phone in Nigeria focused on its usage to alleviate some of the problems in the country. Mobile phones have become an essential personal belonging among the Nigerian students. There is a need to look into possible problems created by the advent of this ICT tool after a decade of its introduction. This study examined at behavioral tendency of mobile phone usage among University students in Nigeria from Social Computing perspective. A survey-based study was carried out among 2000 students of Obafe mi Awolowo University (OAU) in Nigeria. The study confirmed that Nigerian students also associate some health risks to mobile phone usage. SAR value of a generic phone was simulated using the SEMCAD X V14.8 software used over a Phantom human head in a 6 minutes continuous call. The result of the simulation showed that for a 10g tissue the Max. SAR value is 1.74W/Kg which is still within the allowable limit of 2.0W/Kg specified for 10g tissue. Hence the study has further confirmed that no health hazard has been found with the use of mobile phones. The study suggested that the infiltration of mobile phones has altered the academic and personal life style of the students which may in turn have adverse effect on their academic performance. Further study is needed to establish the extent of damage to the academic performance of the Nigerian students. Further research is also needed to determine the effect of proliferation of foreign-used phones as well as supposedly new but not world standard phones on Nigerian Environment.

References

Wargo J., Taylor H., Rabinowitz P. (2012). “The Cell Phones-Technology, Exposures and Health Effects” Environment and Human Health Report, pp. 8-30.

Sage C. (2001) “Overview of Studies on the Effect of Radiofrequency fields with (relevance for mobile communication and data)”. Total Env Med; 14(1):23-24.

WHO. (2011) “IARC classifies radiofrequency electromagnetic fields as possibly carcinogenic to humans” http://www.iarc.fr en/mediacentre/pr/2011/pdfs/pr208_E.pdf

Thomeé S., Härenstam A. and Hagberg M. (2011) “Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study” BMC Public Health review pp 1-5

WHO (2000) “Electromagnetic Fields and Public Health Fact Sheet No. 193. Geneva: World Health Organization”

Slaheddine M. (2012)“Cloud Computing in Africa, Situation and Perspective” http://www.itu.int/ITUD/treg/publications Cloud_Computing_Afrique-e.pdf

Idowu, P., Cornford, D.,and Bastin, L. (2008) “ Health informatics deployment in Nigeria” [Electronic Version]. Journal of Health Informatics in Developing Countries, 2, 15-23 from http://www.jhidc.org/index.php/jhidc/issue/view/4.

Hocking B. (1998) “Preliminary report: Symptoms associated with mobile phone use” Occup. Med. Vol. 48, 357-360

Stefan L., Anders A., Per H. and Maria F. (2004). “Mobile Phone Use and the Risk of Acoustic Neuroma Epidemiology “ Volume 15, Number 6, ISSN: 1044-3983/04/1506-065 DOI:10.1097/01.ede.0000142519.00772.bf

Sandström M., Wilén J., Hansson Mild K. and Oftedal G. (2001) “Mobile Phone Use and Subjective Symptoms; Comparison of Symptoms experienced by users of analogue and digital mobile phones”. Occup. Med (Lond) 51(1): 25-35 doi:10.1093/occmed/51.1.25

Lee TM, Ho, SM, Tsang, LY., Yang, SH., Li, LS, Chan, CC and Yang SY. (2001). “Effect on human attention of exposure to the electromagnetic field emitted by mobile phones” Neuroreport. 12(4), 26 pp 729-731. ISSN: 0959-4965.

Lee Tatia M.C, Lam PK,, Yee Lydia T.S and Chan, Chetwyn C.H. (2003). “The effect of the duration of exposure to the electromagnetic field emitted by mobile phones on human attention” Neuroreport. 14(10), pp 1361-1364. doi:10.1097/01.wnr.0000078400.18847.f9

Schüz J, Böhler E, Berg G, Schlehofer B., Hettinger I, Schlaefer K., Wahrendorf J., Kunna-Grass K, Blettner M (2006) “ Cellular phones, cordless phones, and the risks of glioma and meningioma (Interphone Study Group, Germany)” Am J Epidemiol. 163(6):512–520

Koivisto M, Revonsuo A, Krause C (2000) . Neuroreport 11, 413-415

Koivisto M, Krause CM, Revonsuo A (2002) Neuroreport 11, 1641-1643.

National Research Council (2008) “ Identification of research needs relating to potential biological and adverse health effects of wireless communication devices” Washington DC: The National Academies Press; Available at: www.nap.edu.

Kevin P., W illiam G.G., Fred R., and Stephen S.I (2008) “Health and the Mobile Phone” Am JPrev Med. 35 (92), 177-181.

Ahma L., Ibrani M., Amiti E. (2010) “Computation of SAR Distribution in a Human head exposed to Mobile phone electromagnetic fields” PIERS Proceedings, China.

Federal Communications Commission (FCC). (2001) “Specific Absorption Rate (SAR) For Cell Phones: What It Means For you”. Online Guide.

Wang F., Zend D., Carley K. M, Mao W (1997) “Social Computing: From Social Informatics to Social Intelligence. IEEE Intelligent Systems”, March/April 2007.

Burns N. and Grove S. (1993) “The practice of nursing research: conduct, critique and utilization” (2nd ed). W. Saunders: Philadelphia, Pennsylvania, USA.

Downloads

Published

2024-02-26

How to Cite

Bello, S., & Raji, O. (2024). Disposition of Mobile Phones among University Students in Nigeria. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(03), 646–650. Retrieved from https://ijact.in/index.php/j/article/view/116

Issue

Section

Original Research Article

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.