Occupational Safety and Health Research Institute, Koera Occupational Safety and Health Agency, Incheon, Korea.
Saf Health Work. 2011 Dec;2(4):336-47. doi: 10.5491/SHAW.2011.2.4.336. Epub 2011 Dec 5.
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.
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.
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.
This study offered NIHL prevention measures which are fit for the worksites in each risk grade.
在韩国,平均每年有 258 名工人因噪声性听力损失(NIHL)而要求赔偿。事实上,听力障碍在职业体检的诊断数量中排名第一。有鉴于此,本研究根据 2009 年的一项工作环境全国调查,分析了 19 种噪声产生机器和设备对工作场所声压级和 NIHL 发生的影响。
通过这项分析,建立了一系列统计模型,以确定每个工作场所的后验概率,旨在为工作场所的噪声水平提供风险评级。
发现空气压缩机和研磨机分别在安装的噪声产生机器和设备数量中排名第一和第二。然而,由于已经配备了噪声控制设备和防护装备,工人的工作场所噪声与 NIHL 之间没有直接关系。通过构建逻辑回归模型和神经网络,建立了统计模型来识别噪声产生机器和设备对工作场所噪声水平和 NIHL 发生的影响。
本研究为每个风险等级的工作场所提供了适合的 NIHL 预防措施。