Department of Speech Pathology and Audiology, Western Michigan University, 1903 W. Michigan Ave., Kalamazoo, MI, USA.
Int J Audiol. 2011 Mar;50 Suppl 1:S11-20. doi: 10.3109/14992027.2010.540582.
Cumulative distributions of audiometric pure-tone thresholds for a non-occupationally noise-exposed population vary with demographic characteristics (e.g. gender, ethnicity, age), tested ear, and stimulus frequency. However, commonly-used audiometric databases either do not take these differences into account, or account for them using data not easily generalized to the US population. The objective of this study was to obtain distributions that are generalizable to the US population without significant history of exposure to occupational noise. Cumulative pure tone threshold distributions from the National Health and Nutrition Examination Survey (NHANES) III and the 1999-2004 data from the continuous NHANES were fitted with an asymmetric sigmoid function with reverse asymmetry, by gender, ethnicity, age, ear, and the stimulus frequency. Results indicated that conditional distributions based on these factors are warranted. Percentiles on the cumulative distribution functions can be transformed into standard normal variates (i.e. z-scores) to facilitate combination of results over time or across individuals with different demographic characteristics. However, combinations across frequency could obscure meaningful differences between the reference group and the hearing test results under analysis.
非职业噪声暴露人群的听力纯音阈值累积分布随人口统计学特征(如性别、种族、年龄)、测试耳和刺激频率而变化。然而,常用的听力数据库要么没有考虑到这些差异,要么使用不容易推广到美国人口的数据来考虑这些差异。本研究的目的是获得可推广到美国人群的分布,而这些人群没有接触职业噪声的明显历史。通过性别、种族、年龄、耳朵和刺激频率,使用具有反向不对称性的不对称 sigmoid 函数对来自国家健康和营养检查调查(NHANES)III 的累积纯音阈值分布和来自连续 NHANES 的 1999-2004 年数据进行拟合。结果表明,基于这些因素的条件分布是合理的。累积分布函数上的百分位数可以转换为标准正态变量(即 z 分数),以方便随着时间的推移或在具有不同人口统计学特征的个体之间组合结果。然而,跨频率的组合可能会掩盖参考组和正在分析的听力测试结果之间的有意义差异。