Liu Hengjiang, Zhang Meibian, Sun Xin, Hu Weijiang, Bai Shixing, Zou Hua, Zhang Dandan, Lu Beibei, Tian Yu, Li Jingsong, Qiu Wei
Research Center for Occupational Health, Yangtze Delta Region Institute of Tsinghua University, Zhejiang, Jiaxing, China.
National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
J Acoust Soc Am. 2025 Aug 1;158(2):1355-1366. doi: 10.1121/10.0038801.
This study evaluated the excess risk of noise-induced hearing loss (NIHL) and its association with noise kurtosis (β) among 3421 Chinese male industrial workers exposed to complex noise. The objectives were to: (1) quantify the excess risk of NIHL, (2) examine how kurtosis influences this risk, and (3) recommend occupational exposure limits (OELs) for complex noise. Hearing loss was defined using two metrics: pure-tone averages (PTAs) PTA1234-AI (articulation-index-weighted average at 1-4 kHz) and PTA346 (unweighted average at 3-6 kHz). Logistic regression modeled hearing loss probability based on age, exposure level, and exposure duration. To assess kurtosis-related effects, workers were stratified into three kurtosis-based subgroups. Results showed that complex noise exposures yielded significantly higher excess risk than steady-state noise, and excess risk increased with higher kurtosis. Early noise exposure primarily elevated PTA346-defined hearing loss, with PTA1234-AI-defined hearing loss becoming more prominent as cumulative exposure increased. Derivative analysis of excess risk curves suggests lowering the standard OEL of 85 dBA to 80 dBA for PTA1234-AI and 77 dBA for PTA346. For high-kurtosis exposures (β ≥ 70 for PTA1234-AI; β ≥ 25 for PTA346), an additional 2 dBA reduction is recommended. These findings support more protective OELs for industrial workers exposed to non-steady-state, high-kurtosis noise environments.
本研究评估了3421名暴露于复杂噪声中的中国男性产业工人噪声性听力损失(NIHL)的超额风险及其与噪声峰度(β)的关联。目标如下:(1)量化NIHL的超额风险;(2)研究峰度如何影响该风险;(3)推荐复杂噪声的职业接触限值(OELs)。听力损失采用两种指标定义:纯音平均听阈(PTAs)PTA1234 - AI(1 - 4千赫兹的清晰度指数加权平均听阈)和PTA346(3 - 6千赫兹的未加权平均听阈)。逻辑回归基于年龄、暴露水平和暴露持续时间对听力损失概率进行建模。为评估与峰度相关的影响,将工人分为基于峰度的三个亚组。结果表明,复杂噪声暴露产生的超额风险显著高于稳态噪声,且超额风险随峰度升高而增加。早期噪声暴露主要提高了PTA346定义的听力损失,随着累积暴露增加,PTA1234 - AI定义的听力损失变得更加突出。超额风险曲线的导数分析表明,将PTA1234 - AI的标准OEL从85分贝降低至80分贝,PTA346的标准OEL降低至77分贝。对于高峰度暴露(PTA1234 - AI的β≥70;PTA346的β≥25),建议再降低2分贝。这些发现支持为暴露于非稳态、高峰度噪声环境的产业工人制定更具保护性的OELs。