机构地区:[1]杭州师范大学公共卫生学院,浙江杭州310016 [2]宁波大学医学院,浙江宁波315000 [3]浙江省疾病预防控制中心职业健康与辐射防护所,浙江杭州310051 [4]中国疾病预防控制中心职业卫生与中毒控制所,北京100050
出 处:《环境与职业医学》2022年第4期367-373,共7页Journal of Environmental and Occupational Medicine
基 金:浙江省重点研发项目(2015 C03039);2018年度浙江省151人才工程培养项目(无编号);2016年度浙江省卫生创新人才培养项目(无编号);职业健康标准前期研究项目(20210102);浙江省医药卫生基金(2019 KY057);浙江省医药卫生基金(2021 KY120);浙江省一般科研项目(Y202147694)
摘 要:[背景]职业噪声性听力损失(NIHL)是世界上最普遍的职业病之一。随着工业的发展,工作场所的噪声源变得越来越复杂。[目的]应用峰度调整累积噪声暴露量(CNE)来评估家具制造工人非稳态噪声暴露所致的听力损失,为我国噪声测量方法和职业接触限值修订提供依据。[方法]通过横断面调查,选择694名制造业工人为研究对象,包括542名非稳态噪声暴露的家具制造工人以及152名稳态噪声暴露的纺织企业和造纸企业工人,其中非稳态噪声组分为枪钉工和木工,稳态噪声组分为织造工、纺纱工和造纸工。收集每个研究对象的高频(3、4、6 k Hz)听力损失(HFNIHL)情况和噪声暴露数据。噪声能量指标包括8 h等效A声级(L_(Aeq,8h))、CNE,噪声时域结构测量指标为峰度。峰度调整CNE作为一个噪声能量和时域结构的联合指标。[结果]研究对象的年龄为(35.64±10.35)岁,工龄为(6.71±6.44)年,男性比例为75.50%。L_(Aeq,8h)为(89.43±6.01)d B(A),81.42%的研究对象暴露于85 d B(A)以上的噪声水平,CNE为(95.85±7.32)d B(A)·年,峰度为99.34±139.19,HFNIHL患病率达35.59%。非稳态噪声组平均峰度高于稳态噪声组平均峰度(125.33±147.17 vs.5.86±1.94,t=-21.04,P<0.05)。二元logistic回归分析结果显示:校正年龄、工龄、L_(Aeq,8h)后,峰度是工人HFNIHL的影响因素(OR=1.49,P<0.05)。多元线性回归分析结果显示:年龄、工龄、L_(Aeq,8h)和峰度对较差耳在高频3、4、6 k Hz的噪声性永久听阈位移的影响有统计学意义(均P<0.05)。卡方趋势分析结果显示,在CNE≥90 d B(A)·年时,HFNIHL患病率随峰度的增高而上升(P<0.05)。非稳态噪声组平均HFNIHL患病率高于稳态噪声组(31.7%vs.22.0%,P<0.05)。应用峰度调整后,非稳态噪声组的CNE和HFNIHL患病率的线性方程与稳态噪声组的方程几乎重合,两组之间的HFNIHL患病率平均差值从9.7%减少到1.4%(P<0.05)。[结论]噪声峰度是评估NIHL的重要参�[Background]Occupational noise-induced hearing loss(NIHL)is one of the most prevalent occupational diseases in the world.With the development of industry,noise sources in the workplace have become increasingly complex.[Objective]To apply kurtosis-adjusted cumulative noise exposure(CNE)to assess the occupational hearing loss among furniture manufacturing workers,and to provide a basis for revising noise measurement methods and occupational exposure limits in China.[Methods]A cross-sectional survey was conducted to select 694 manufacturing workers,including 542 furniture manufacturing workers exposed to non-Gaussian noise,and 152 textile manufacturing workers and paper manufacturing workers exposed to Gaussian noise.The job titles involving non-Gaussian noise were gunning and nailing,and woodworking,while those involving Gaussian noise were weaving,spinning,and pulping.High frequency noise-induced hearing loss(HFNIHL)and noise exposure data were collected for each study subject.Noise energy metrics included eight-hour equivalent continuous A-weighted sound pressure level(L_(Aeq,8h))and CNE.Kurtosis was a noise temporal structure metric.Kurtosis-adjusted CNE was a combined indicator of noise energy and temporal structure.[Results]The age of the study subjects was(35.64±10.35)years,the exposure duration was(6.71±6.44)years,and the proportion of males was 75.50%.The L_(Aeq,8h)was(89.43±6.01)d B(A).About 81.42%of the study subjects were exposed to noise levels above 85 d B(A),the CNE was(95.85±7.32)d B(A)·year,with a kurtosis of 99.34±139.19,and the prevalence rate of HFNIHL was 35.59%.The mean kurtosis of the non-Gaussian noise group was higher than that of the Gaussian noise group(125.33±147.17 vs.5.86±1.94,t=-21.04,P<0.05).The results of binary logistic regression analysis showed that kurtosis was an influential factor of workers’HFNIHL after correcting for age,exposure duration,and L_(Aeq,8h)(OR=1.49,P<0.05).The results of multiple linear regression analysis showed that the effects of age,exposure duratio
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