Occupational Noise Induced Hearing Loss in Fire Brigades( Mumbai)
Fire brigade, NIHL, Occupational hearing loss.
To analyse the result of hearing threshold, analysis of individual exposed to noise with normal conventional audiometry, 433 Mumbai fire brigade who undergoes periodic medical examination over 12 month period was examined. The diagnostic criteria for noise induced hearing loss were (a) occupational noise exposure (b) work experience (c) hearing loss (d) no significant medical history affecting hearing. Also subdivided into3 age groups (a) 45-50 yrs (b) 51-55 yrs (c) 56-60 yrs. Conventional audiometry was done for the study. Among all types of hearing loss; fire brigade having bilateral 4kHz notch were more in number succeeding from bilateral high frequency loss. The study also shows that the impact of noise is greater as age increases and there is strong and positive correlation between experience and age on Pearson’s correlation coefficient r=1.The study shows strong association between noise induced hearing loss and age & also duration of service. Increasing age, longer duration of service are significant associated factors for NIHL. Study found none of them used hearing protective device.Thus, it is necessary that fire brigades are made aware of importance of use of hearing protective devices, implementing hearing conservation program.
"Occupational Noise Induced Hearing Loss in Fire Brigades( Mumbai)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.429 - 433, September-2020, Available :https://ijsdr.org/papers/IJSDR2009069.pdf
Volume 5
Issue 9,
September-2020
Pages : 429 - 433
Paper Reg. ID: IJSDR_192393
Published Paper Id: IJSDR2009069
Downloads: 000347200
Research Area: Biological Science
Country: Mumbai, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave