Open Access

ARTICLE

Presenting a Signal to Noise Ratio Model Based on the Combined Effect of Sound Pressure Level/frequency, Exposure Time and Oral Potassium: Experimental Study in Rats

by Parvin Nassiri, Sajad Zare, Mohammad Reza Monazzam, Akram Pourbakht, Rasoul Hemmatjo, Hossein ElahiShirvan

1 Department of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2 Student Research Committee, Kerman University of Medical Science, Kerman, Iran
3 Department of Audiology, School of Rehabilitation, Iran University of Medical Sciences, Tehran, Iran
4 Department of Occupational Health, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran

* Corresponding Author: Sajad Zare. Email:

Sound & Vibration 2020, 54(1), 17-25. https://doi.org/10.32604/sv.2020.08395

Received 20 August 2019; Accepted 14 November 2019; Issue published 01 March 2020

Abstract

Exposure to noise can lead to anatomical, nonauditory, and auditory impacts. The auditory influence of noise exposure is manifested in the form of Noise-induced hearing loss (NIHL). The current study aimed at present a signal to noise ratio model of otoacoustic emission of rats’ ears in the light of the combined effect of sound pressure level, sound frequency, exposure time, and potassium concentration of the used water. In total, 36 adult male rates, whose age varied from 3 to 4 months and had a weight of 200 ± 50 g, were randomly divided into 12 groups, with each group consisting of 3 rats. The rats in both groups (case and control groups) were exposed to SPLs of 85, 95, and 105 dB, emitted from sources that generated white noise. A distortion product otoacoustic emission (DPOAE) machine (4000 I/O manufactured by Homoth of Germany) was utilized to gauge the signal to noise ratio (SNR) of otoacoustic emissions of rats’ ears at various frequencies in an acoustic room. The inclusion criterion was SNR ≥ 6 dB. The collected data were fed into the Statistical Package for Social Sciences (SPSS) version 18, followed by conducting descriptive and inferential data analysis procedures. The results of SNR analysis indicated that over 82% of all data had SNRs that were equal to or greater than 6 dB. These data were considered as acceptable response. Furthermore, SPL and sound frequency had significant associations with SNR (P < 0.0001). Exposure time also significantly correlated with SNR (P = 0.008). However, the potassium concentration of the used water had no significant correlation with SNR (P = 0.97). High sound pressure levels result in lower DPOAE. Furthermore, higher frequency leads to higher SNR. On the contrary, longer exposure time reduces SNR. Finally, the potassium concentration of the used water has no effect on SNR.

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