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One of the most significant occupational concerns is noise-induced hearing loss, which is an irreversible but treatable condition. Industrial employees in developing nations are affected by occupational noise exposure, which is the second-most commonly self-reported occupational injury. The aim was to determine the extent and impact of noise induced hearing impairment on steel industry workers and to educate on the need to use preventive measures. In this study, demographic details of the steel industry workers were collected and they were interviewed using a pre-structured questionnaire and analyzed. The workers were educated on the need to use preventive measures and protective aids. The hearing potential was analyzed using chi-square test (social science statistics) significance at p-value 0.05. Workers in older age group, with working experience of 21-30 years and working duration of 11-13 hours showed positive association with hearing impairment. Workers using preventive measures had lesser incidence of hearing impairment when compared to the workers not using preventive measures. From the study, it can be concluded that age, working hours and working experience were the contributing factors to hearing impairment among the steel industry workers. This study also helped to analyze the need for using proper preventive measures for better efficacy.
Keywords:
Noise Induced Hearing Loss (NIHL), Preventive measures, Steel industries, Working experience, Age, Duration of noise exposure, sensorineural, ear
Cite Article:
"Hearing Impairment Among Workers Exposed To Excessive Levels Of Noise In Indian Steel Industries-A Prospective Cross-Sectional Comparative Study ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.507 - 510, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212073.pdf
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000205314
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator