Davies Hugh W, Teschke Kay, Kennedy Susan M, Hodgson Murray R, Demers Paul A
School of Environmental Health, University of British Columbia, Vancouver, Canada.
J Occup Environ Hyg. 2009 Jan;6(1):32-41. doi: 10.1080/15459620802548940.
Noise exposure is probably the most ubiquitous of all occupational hazards, and there is evidence for causal links between noise and both auditory and nonauditory health effects. Noise control at source is rarely considered, resulting in reliance on hearing protection devices to reduce exposure. A comprehensive noise survey of four lumber mills using a randomized sampling strategy was undertaken, resulting in 350 full-shift personal dosimetry measurements. Sound frequency spectrum data and information on hearing protector usage was collected. A determinants-of-exposure regression model for noise was developed. Mean (L(eq,8hr)) exposure level was 91.7 dBA, well above the exposure British Columbia (BC) limit of 85 dBA. Of 52 jobs for which more than a single observation was made, only 4 were below the exposure limit. Twenty-eight jobs had means over 90 dBA, and four jobs had means over 100 dBA. The sawmill and by-products departments of the lumber mills had the highest exposure to low frequency noise, while the planing and saw filing areas had the highest exposure to high frequency noise. Hearing protector use was greatest among those exposed above 95 dBA, and among those exposed between 85 and 95 dBA, self-reported use was 84% for 73% of the time. The determinants of exposure model had an R(2) of 0.52, and the within-participant correlation was 0.07. Key predictors in the final model were mill; enclosure and enclosure construction material; and certain departments, jobs, and noise sources. The study showed that workers in lumber mills are highly exposed to noise, and although the prevalence of the use of hearing protection is high, their use is unlikely to provide complete protection again noise-induced hearing loss at the observed exposures. Determinants of noise exposure modeling offers a good method for the quantitative estimation of noise exposure.
噪声暴露可能是所有职业危害中最普遍存在的,并且有证据表明噪声与听觉和非听觉健康影响之间存在因果联系。很少考虑从源头上控制噪声,这导致人们依赖听力保护装置来减少暴露。采用随机抽样策略对四家木材厂进行了全面的噪声调查,共获得350次全时个人剂量测定结果。收集了声频谱数据和听力保护器使用情况的信息。建立了噪声暴露决定因素回归模型。平均(L(eq,8hr))暴露水平为91.7分贝A,远高于不列颠哥伦比亚省(BC)85分贝A的暴露限值。在进行了不止一次观测的52个工作岗位中,只有4个低于暴露限值。28个工作岗位的平均值超过90分贝A,4个工作岗位的平均值超过100分贝A。木材厂的锯木厂和副产品部门低频噪声暴露最高,而刨削和锯锉区域高频噪声暴露最高。在暴露于95分贝A以上的人群中,听力保护器的使用率最高,在暴露于85至95分贝A之间的人群中,73%的时间自我报告使用率为84%。暴露决定因素模型的R(2)为0.52,参与者内部相关性为0.07。最终模型中的关键预测因素是工厂;围护结构和围护结构建筑材料;以及某些部门、工作岗位和噪声源。研究表明,木材厂的工人高度暴露于噪声中,尽管听力保护的使用率很高,但在观察到的暴露水平下,其使用不太可能提供完全保护以防止噪声性听力损失。噪声暴露建模的决定因素为噪声暴露的定量估计提供了一种很好的方法。