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Hearing loss and task-based noise exposures among agricultural populations

机译:农业人口中的听力损失和基于任务的噪声暴露

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摘要

Hazardous noise exposures and hearing loss have been documented among farmers and farm workers for many years. However, little is known about the noise exposures during specific agricultural work tasks and their effect on hearing loss. The objective of this dissertation was to assess the effects of specific agricultural tasks on hearing loss and their contribution to total noise exposures.Three studies were conducted to accomplish this objective. The first study examined associations between hearing sensitivity among rural residents (nfarmer = 960, nnon-farmers = 608) and self-reported years of participation in 12 agricultural tasks. Logistic regression analysis was used to examine associations between agricultural activities and hearing loss u3e25dB. Linear regression analysis was used to examine associations between agricultural tasks and mean decibels of hearing loss. The results indicated farmers have greater hearing loss than non-farmers. However years of participation in specific agricultural tasks was poorly associated with hearing loss. This result suggests that self-reported years engaging in specific agricultural activities may be a poor surrogate for true noise exposureIn the second study noise exposures (personal dosimetry) and corresponding task data (direct observation) were collected on 18 grain farms, and mean noise exposures (dBA) were calculated for specific agricultural tasks. Noise exposures ranged from 78.6 dBA to 99.0 dBA across all tasks. The noise exposures for each task varied greatly (large standard deviation and maximum exposure) with most of the variability within the farms. Although specific tasks with intense noise exposures were identified, most comparisons of mean noise exposures from one task to another were not statistically different and intense exposures were present for nearly all tasks. Therefore, controlling noise only for those tasks with the greatest mean noise exposures may not completely eliminate hazardous exposures or the hearing loss risk.For the third study, estimates of 8-hr time-weighted-average (TWA) noise exposures were calculated using time-at-task observations from one population of farmers and prior dosimeter measured mean task-based noise exposures from an independent population of farmers. Additionally, dosimeter measured daily noise exposures from the independent population of farmers were also analyzed to identify significant determinants of noise exposure. Simple linear regression analysis was used to compare estimated and actual dosimeter-measured 8-hr TWA noise exposures. The noise exposure determinants were identified by conducting multivariable linear mixed-effects regression analysis on the one-minute noise measurements from the dosimeter measured daily noise exposures. The results indicated the estimated and measured 8-hr TWA noise exposures varied considerably. Therefore, the estimates were not considered reliable. Furthermore, task, number of noise sources and work area were found to have a statistically significant association with noise exposure.In summary, hearing loss and noise exposures among agricultural populations are complex and cannot be completely explained by examining agricultural tasks only. More detailed evaluations of tasks are needed to increase the understanding of hearing loss and noise exposure in this dynamic work environment.
机译:多年来农民和农业工人的危险噪音暴露和听力损失已记录。然而,关于特定农业工作任务期间的噪音暴露以及它们对听力损失的影响很少。本文的目的是评估特定农业任务对听力损失的影响及其对全噪声暴露的贡献。进行了这一目标的研究。第一研究审查了农村居民之间听力敏感性之间的协会(Nfarmer = 960,Nnon-Farmers = 608),以及再次参加12年的农业任务。逻辑回归分析用于检查农业活动与听力损失之间的关联 u3e25db。线性回归分析用于检查农业任务之间的关联,均衡听力损失。结果表明农民比非农就有更大的听力损失。然而,与听力损失有关的特定农业任务的日参加差不多。这一结果表明,从事特定农业活动的自我报告的年份可能是一个糟糕的代理,用于真正的噪音曝光,第二次研究噪声暴露(个人剂量测定)和相应的任务数据(直接观察)收集在18个谷物农场上,以及平均噪音曝光(DBA)是针对特定农业任务计算的。噪音曝光范围从所有任务中的78.6 dba到99.0 dba。每个任务的噪声暴露大大变化(大标准偏差和最大曝光),具有大多数农场内的变异性。虽然确定了具有强烈噪声暴露的特定任务,但是几乎所有任务都存在从一个任务到另一个任务的平均噪声暴露的大多数比较都没有统计学不同和强烈的曝光。因此,仅对具有最大平均噪声暴露的任务的任务控制噪声可能无法完全消除危险暴露或听力损失风险。使用时间计算8小时时间加权平均(TWA)噪声曝光的估计-AT-任务观察来自一群农民和前剂量计测量了来自独立农民的基于任务的噪声暴露。此外,还分析了单剂表从独立的农民人群中测量的每日噪声暴露,以确定噪音暴露的重要决定因素。简单的线性回归分析用于比较估计和实际剂量计测量的8-HR TWA噪声曝光。通过对单量计测量的每日噪声暴露的一分钟噪声测量进行多变量的线性混合效应回归分析来鉴定噪声暴露决定蛋白。结果表明估计和测量的8-HR TWA噪声暴露变化很大。因此,估计不被认为是可靠的。此外,发现噪声源和工作区域的任务数量与噪声曝光有统计有关的关联。总结,农业群体中的听力损失和噪音暴露是复杂的,无法通过检查农业任务来完全解释。需要更详细的任务评估,以提高对此动态工作环境中听力损失和噪音暴露的理解。

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    Michael Jerome Humann;

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