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Statistical Analysis of Electromagnetic Radiation Parameters and Specific Absorption Rate (SAR) in Selected Mobile Phones on Active Call within Sokoto Metropolis, Northwest, Nigeria


Authors : Sadiya Umar; S. S. Ekpo

Volume/Issue : Volume 11 - 2026, Issue 4 - April


Google Scholar : https://tinyurl.com/mr3k7rnv

Scribd : https://tinyurl.com/53vnv9rp

DOI : https://doi.org/10.38124/ijisrt/26apr2040

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Mobile phone technology has brought important benefits to individuals, businesses, and society. The widespread use of mobile phones has raised public and scientific interest regarding exposure to electromagnetic radiation and its possible biological effects Like most technologies, there are negative effects that can arise as a result of using radiofrequency (RF) radiation source from mobile phones. Health effects can arise as a result of exposure to this radiation. In this study, power density and electromagnetic fields from mobile phones were measured using a handheld electromagnetic field meter GQ EMF 390. Measurements were obtained from some sources of electromagnetic field (EMF) from mobile phone users on active calls. The power density and electromagnetic field values were used to obtain the specific absorption rate of radiation in tissue (SAR).. This study statistically examined relationships among measured magnetic field strength, electric field strength, power density, and Specific Absorption Rate (SAR) in selected mobile phones. Data from 50 mobile phone samples were analyzed using Statistical Package for the Social Sciences (SPSS). Descriptive statistics, Pearson correlation, and multiple regression analyses were performed. Results showed that electric field strength had a very strong positive correlation with SAR (r = 0.979, p < 0.001), while magnetic field strength showed a moderate positive correlation (r = 0.358, p = 0.011). Power density had no significant relationship with SAR (r = -0.028, p = 0.849). Multiple regression revealed that electric field strength was the only significant independent predictor of SAR (p < 0.001), and the model explained 95.8% of the variance in SAR (R² = 0.958). The study concludes that electric field strength is the most influential measurable radiation parameter associated with SAR among the sampled devices.

Keywords : Mobile Phones, SAR, Electromagnetic Radiation, Electric Field, Magnetic Field, Power Density, SPSS.

References :

  1. Nigerian Communications Commission (NCC) (2019). Statistics_2020_Subscriber-Network_Year_End_Report.pdf (pp. 2–57). https://www.ncc.gov.ng.
  2. NNBP Nigerian National Broadband Plan (2020) National Broadband Plan 2020 – 2025 Pp 12 –16. Retrieved 16 March 2020 from https://www.ncc.gov.ng.
  3. Girish Kumar (2010). Advantages and Disadvantages of Cell Phone Technology. Report on Cell Tower Radiation. Report sent to Department of Telecommunications, Delhi, India.
  4. Owoh Ekpuk Brown, Kingsley Monday Udofia, Akaninyene Bernard Obot (2020) Electromagnetic Field Levels Associated with Selected Mobile Phones J. Int. Environmental Application & Science, Vol. 15(2): 62-67.
  5. Bhat, M.A. (2013). ―Effects of Electromagnetic Waves Emitted by Mobile Phones on Male Fertility,” Computer Engineering and Intelligent Systems, 4(3).
  6. Khuzairi M. 1, H. A. Rahim2, M. Abdulmalek3, M. Nazri M. Warip4 (2019) Radio frequency radiation measurement for base tower station safety compliances: a case study in Pulau Pinang Malaysia. Bulletin of Electrical Engineering and Informatics 2. Bioelectromagnetics Vol. 8, No. 1, March 2019, pp. 150~157 ISSN: 2302-9285, DOI: 10.11591/eei.v8i1.1407  150 http://beei.org/index.php/EEI.
  7. International Commission on Non-Ionizing Radiation Protection ICNIRP. (2020). Guidelines for Limiting Exposure to Time-Varying Electric, Magnetic, and Electromagnetic Fields (up to 300 GHz). Health Physics. 74(4):494-522.
  8. Riki H., Patel Hardik Modi, Chandubhai S Patel, Vrunda S. Patel (2015). Mobile Effect on Human Body.
  9. International Journal of Computer and Communication System Engineering (IJCCSE), Vol. 2 (5), 2015, 686-690. ISSN: 2312-7694.

Mobile phone technology has brought important benefits to individuals, businesses, and society. The widespread use of mobile phones has raised public and scientific interest regarding exposure to electromagnetic radiation and its possible biological effects Like most technologies, there are negative effects that can arise as a result of using radiofrequency (RF) radiation source from mobile phones. Health effects can arise as a result of exposure to this radiation. In this study, power density and electromagnetic fields from mobile phones were measured using a handheld electromagnetic field meter GQ EMF 390. Measurements were obtained from some sources of electromagnetic field (EMF) from mobile phone users on active calls. The power density and electromagnetic field values were used to obtain the specific absorption rate of radiation in tissue (SAR).. This study statistically examined relationships among measured magnetic field strength, electric field strength, power density, and Specific Absorption Rate (SAR) in selected mobile phones. Data from 50 mobile phone samples were analyzed using Statistical Package for the Social Sciences (SPSS). Descriptive statistics, Pearson correlation, and multiple regression analyses were performed. Results showed that electric field strength had a very strong positive correlation with SAR (r = 0.979, p < 0.001), while magnetic field strength showed a moderate positive correlation (r = 0.358, p = 0.011). Power density had no significant relationship with SAR (r = -0.028, p = 0.849). Multiple regression revealed that electric field strength was the only significant independent predictor of SAR (p < 0.001), and the model explained 95.8% of the variance in SAR (R² = 0.958). The study concludes that electric field strength is the most influential measurable radiation parameter associated with SAR among the sampled devices.

Keywords : Mobile Phones, SAR, Electromagnetic Radiation, Electric Field, Magnetic Field, Power Density, SPSS.

Paper Submission Last Date
31 - May - 2026

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