DOI QR코드

DOI QR Code

The Risk Rating System for Noise-induced Hearing Loss in Korean Manufacturing Sites Based on the 2009 Survey on Work Environments

  • Kim, Young-Sun (Occupational Safety and Health Research Institute, Koera Occupational Safety and Health Agency) ;
  • Cho, Youn-Ho (Occupational Safety and Health Research Institute, Koera Occupational Safety and Health Agency) ;
  • Kwon, Oh-Jun (Occupational Safety and Health Research Institute, Koera Occupational Safety and Health Agency) ;
  • Choi, Seong-Weon (Occupational Safety and Health Research Institute, Koera Occupational Safety and Health Agency) ;
  • Rhee, Kyung-Yong (Occupational Safety and Health Research Institute, Koera Occupational Safety and Health Agency)
  • Received : 2010.12.07
  • Accepted : 2011.09.09
  • Published : 2011.12.30

Abstract

Objectives: In Korea, an average of 258 workers claim compensation for their noise-induced hearing loss (NIHL) on an annual basis. Indeed, hearing disorder ranks first in the number of diagnoses made by occupational medical check-ups. Against this backdrop, this study analyzed the impact of 19 types of noise-generating machines and equipment on the sound pressure levels in workplaces and NIHL occurrence based on a 2009 national survey on work environments. Methods: Through this analysis, a series of statistical models were built to determine posterior probabilities for each worksite with an aim to present risk ratings for noise levels at work. Results: It was found that air compressors and grinding machines came in first and second, respectively in the number of installed noise-generating machines and equipment. However, there was no direct relationship between workplace noise and NIHL among workers since noise-control equipment and protective gear had been in place. By building a logistic regression model and neural network, statistical models were set to identify the influence of the noise-generating machines and equipment on workplace noise levels and NIHL occurrence. Conclusion: This study offered NIHL prevention measures which are fit for the worksites in each risk grade.

Keywords

References

  1. Dobie RA. Medical-Legal Evaluation of Hearing Loss. 2nd ed. San Diego (CA): Singular Publishing Group; 2001. 393 p.
  2. Thorne PR, Gavin JB. Changing relationships between structure and function in the cochlea during recovery from intense sound exposure. Ann Otol Rhinol Laryngol 1985;94:81-6.
  3. Zenz C, Dickerson OB, Horvath EP. Occupational Medicine. 3rd ed. St. Louis (MO): Mosby; 1994.
  4. Hodgkinson L, Prasher D. Effects of industrial solvents on hearing and balance: a review. Noise Health 2006;8:114-33.
  5. Gobba F. Sensory perception: an overlooked target of occupational exposure to metals. Bioinorg Chem Appl 2003:199-214.
  6. Cruickshanks KJ, Klein R, Klein BE, Wiley TL, Nondahl DM, Tweed TS. Cigarette smoking and hearing loss: the epidemiology of hearing loss study. JAMA 1998;279:1715-9. https://doi.org/10.1001/jama.279.21.1715
  7. de Moraes Marchiori LL, de Almeida Rego Filho E, Matsuo T. Hypertension as a factor associated with hearing loss. Braz J Otorhinolaryngol 2006;72:533-40.
  8. Starck J, Pyykko I, Toppila E, Nieminen O, Pekkarinen J. Factors explaining individual variability in hearing level: Exposure to noise, hearing protection, blood pressure and cholesterol. Sixth US-Finnish Joint Symposium on Occupational Health and Safety, People and Work, Research Report 3. Proceedings of the Sixth FIOH-NIOSH Joint Symposium on Occupational Health and Safety; 1995 Aug 8-10; Espoo, Finland. Helsinki (Finland): Finninsh Institute of Occupational Health; 1995. 199 p.
  9. Lalwani AK, Liu YH, Weitzman M. Secondhand smoke and sensorineural hearing loss in adolescents. Arch Otolaryngol Head Neck Surg 2011;137:655-62. https://doi.org/10.1001/archoto.2011.109
  10. Bainbridge KE, Hoffman HJ, Cowie CC. Diabetes and hearing impairment in the United States: audiometric evidence from the National Health and Nutrition Examination Survey, 1999 to 2004. Ann Intern Med 2008;149:1-10.
  11. Evans MB, Tonini R, Shope CD, Oghalai JS, Jerger JF, Insull W Jr, Brownell WE. Dyslipidemia and auditory function. Otol Neurotol 2006;27:609-14. https://doi.org/10.1097/01.mao.0000226286.19295.34
  12. Ministry of Employment and Labor (KR). The 2009 Survey on Injuries and Illnesses. Gwacheon (Korea): Ministry of Employment and Labor (KR); 2009. 1151 p. Korean.
  13. Sensogut C. Occupational noise in mines and its control-A case study. Polish J Environ Stud 2007;16:939-42.
  14. Sistkova M, Peterka A. The exposure of working environment noise in the agricultural service workplace. Res Agr Eng 2009;55:69-75.
  15. Nathak S, Puranik A, Schut J, Rao MD. Study on noise transmission from an air compressor. Proceedings of Noise-Con 2005; 2005 Oct 17-19; Minneapolis, MN. Washington, DC: Institute of Noise Control Engineering; 2005.
  16. Nelson DI, Nelson RY, Concha-Barrientos M, Fingerhut M. The global burden of occupational noise-induced hearing loss. Am J Ind Med 2005;48:446-58. https://doi.org/10.1002/ajim.20223
  17. Kinsella K, He W; US Census Bureau. An Aging World; 2008. International Population Reports P95/09-1. Washigton, DC: US Government Printing Office; 2009. 191 p.
  18. Rosner B. Fundamentals of Biostatistics. 4th ed. Belmont (CA): Duxbury Press; 1995. 681 p.
  19. Alan A. Categorical Data Analysis. 2nd ed. New York (NY): Wiley-Interscience; 2002.
  20. Hosmer, David W, Lemeshow S. Applied Logistic Regression. 2nd ed. New York (NY): Wiley; 2000. 373 p.
  21. Cheng B, Titterington D. Neural networks: a review from a statistical perspective. Statist Sci 1994;9:2-54. https://doi.org/10.1214/ss/1177010638
  22. Smith M. Neural Nnetworks for Statistical Modeling. Boston (MA): International Thomson Computer Press; 1996. 235 p.
  23. Bigg D, De Ville B, Suen E. A method of choosing multiway pathway partitions for classification and decision trees. J Appl Statist 1991;18:49-62. https://doi.org/10.1080/02664769100000005
  24. Cristianini N, Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge (UK): Cambridge University Press; 2000. 189 p.
  25. Hu MY, Shanker M, Hung MS. Estimation of posterior probabilities of consumer situational choices with neural network classifiers. Int J Res Mark 1999;16:307-17. https://doi.org/10.1016/S0167-8116(99)00018-X
  26. Ambergen AW, Schaafsma W. Interval estimates for posterior probabilities in a multivariate normal classification model. J Multivariate Anal 1985;16:432-9. https://doi.org/10.1016/0047-259X(85)90029-6
  27. Chow GC. A comparison of the information and posterior probability criteria for model selection. J Econometrics 1981;16:21-33. https://doi.org/10.1016/0304-4076(81)90073-7

Cited by

  1. Associations between dietary quality, noise, and hearing: Data from the National Health and Nutrition Examination Survey, 1999–2002 vol.53, pp.11, 2014, https://doi.org/10.3109/14992027.2014.921340
  2. Study of Personal Hearing Protection Devices Usage in Kashan Carpet Industry Workers vol.5, pp.4, 2016, https://doi.org/10.17795/jhealthscope-35250
  3. Ranking maintenance strategies for sustainable maintenance plan in manufacturing systems using fuzzy axiomatic design principle and fuzzy-TOPSIS vol.28, pp.7, 2017, https://doi.org/10.1108/JMTM-01-2017-0007