Database for a hearing conservation program
Database for a hearing conservation program
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DOI：
10.1080/010503900424606
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发表时间：
2000-01-01
期刊：
影响因子：
--
通讯作者：
Auramo, Y
中科院分区：
文献类型：
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作者：
Pyykkö, IV;Toppila, EM;Auramo, Y
我们已经开发了一个数据库和分析程序（NoiseScan）的噪声性听力损失（NIHL）。暴露数据是基于对噪声水平的评估，包括持续时间、频率内容、听力保护器的使用和衰减性能。输入数据可以处理无限数量的曝光周期。如果不知道噪声暴露水平，程序会列出可比工作场所的噪声水平，从而提供暴露的估计值。收集可能导致NIHL的混杂医学因素，如血清胆固醇水平升高、高血压和广泛使用止痛药。还评估了明显导致NIHL的药物的联合暴露，如手臂振动、吸烟、使用氨基糖苷类药物和溶剂暴露。可以存储无限数量的听力图，所有数据都可以在收集后完成和编辑。该程序根据ISO 1999模型基于总暴露量给出预测的听力损失。目前，我们的NoiseScan程序（正在欧盟研究计划中持续开发）适用于各种风险因素的数据收集。它可以用来确定听力损失是否是职业性的，并估计听力保护措施的效率。NoiseScan还预测了5年内个人听力损失的发展。目标是改进和验证单一和综合风险因素导致HIHL的规则，从而更准确地预测个体听力损失，并评估听力保护计划的成功。
We have developed a database and an analysis program (NoiseScan) for noise-induced hearing loss (NIHL). The exposure data are based on the evaluation of the noise immission level, which includes duration, frequency content, and the use of, and the attenuation performance of, hearing protectors. The input data can handle an unlimited number of exposure periods. If the noise exposure level is not known, the program lists noise levels of comparable work places, and thus provides an estimate of exposure. Confounding medical factors that may contribute to NIHL, such as elevated serum cholesterol level, hypertension, and extensive use of pain killers, are collected. Combined exposure to agents that clearly contribute to NIHL, such as hand-arm vibration, tobacco smoking, use of aminoglycosides and exposure to solvents are also assessed. An unlimited number of audiograms can be stored,and all the data can be completed and edited following collection. The program gives the predicted hearing loss according to the ISO 1999 model based on total exposure. At present, our NoiseScan program (under continuous development in an EU research program) is suitable for the data collection of various risk factors. It can be used to determine whether the hearing loss is occupational in origin and to estimate the efficiency of hearing conservation measures. NoiseScan also predicts the development of hearings loss in individuals in 5-year periods. The goal is to improve and validate the rules by which single and combined risk factors contribute to HIHL, thus leading to more precise prediction of individual hearing loss, and for the evaluation of success of the hearings conservation programs.