张敏红, 李天正, 田东超, 丘海丽, 杨光涛, 谢子煌, 周伟. 广东省某船舶维修企业噪声所致作业人员听力损失的风险评估[J]. 环境与职业医学, 2020, 37(4): 341-347. DOI: 10.13213/j.cnki.jeom.2020.19374
引用本文: 张敏红, 李天正, 田东超, 丘海丽, 杨光涛, 谢子煌, 周伟. 广东省某船舶维修企业噪声所致作业人员听力损失的风险评估[J]. 环境与职业医学, 2020, 37(4): 341-347. DOI: 10.13213/j.cnki.jeom.2020.19374
ZHANG Min-hong, LI Tian-zheng, TIAN Dong-chao, QIU Hai-li, YANG Guang-tao, XIE Zi-huang, ZHOU Wei. Risk assessment of noise-induced hearing loss among workers in a ship maintenance enterprise in Guangdong Province[J]. Journal of Environmental and Occupational Medicine, 2020, 37(4): 341-347. DOI: 10.13213/j.cnki.jeom.2020.19374
Citation: ZHANG Min-hong, LI Tian-zheng, TIAN Dong-chao, QIU Hai-li, YANG Guang-tao, XIE Zi-huang, ZHOU Wei. Risk assessment of noise-induced hearing loss among workers in a ship maintenance enterprise in Guangdong Province[J]. Journal of Environmental and Occupational Medicine, 2020, 37(4): 341-347. DOI: 10.13213/j.cnki.jeom.2020.19374

广东省某船舶维修企业噪声所致作业人员听力损失的风险评估

Risk assessment of noise-induced hearing loss among workers in a ship maintenance enterprise in Guangdong Province

  • 摘要: 背景

    船舶维修企业的噪声危害严重且接噪环境复杂多变,其作业人员噪声所致听力损失的风险难以评估。

    目的

    评估广东省某船舶维修企业噪声所致作业人员听力损失的风险。

    方法

    以2018年广东省某大型船舶维修企业的446名噪声作业工人为研究对象,调查作业人员的基本信息和工作情况。用个体噪声剂量计测量作业人员接触的噪声强度,计算各岗位的每周40 h等效声级(LEX,W)和累积噪声暴露量(CNE)。运用ISO 1999:2013的风险评估方法,计算各岗位听阈级变化、听力损失风险,并依据AQ/T 4276-2016《噪声职业病危害风险管理指南》进行风险分级。用Pearson相关分析和偏相关分析法分析CNE、暴露年数与听力损失风险的关系。

    结果

    所有接触噪声岗位的LEX,W均超过国家职业接触限值。接噪员工双耳高频听力损失检出率及职业性噪声聋风险检出率随CNE的增加呈现增加趋势(P < 0.05)。接噪员工的单耳高频听力损失、单耳职业性噪声聋的程度均与CNE、暴露年数呈正相关(r=0.142~0.182,P < 0.05),但均与LEX,W无关联。90%作业人员的噪声性永久性阈移(N90)随暴露年数(P < 0.05)和预测年龄(P < 0.01)增加而增加,但N10、N50与暴露年数、预测年龄无关联。各噪声岗位作业人员发生高频听力损失的风险随噪声暴露年数(r=0.721,P < 0.01)的增加而增加,且与噪声强度呈正相关(r=0.653,P < 0.01)。各噪声岗位作业人员发生职业性噪声聋的风险随噪声暴露年数(r=0.615,P < 0.01)的增加而增加,且与噪声强度呈正相关(r=0.609,P < 0.01)。各噪声岗位的风险级别随着暴露年数的增加而升高。

    结论

    该船舶维修企业各噪声岗位噪声接触强度均超过职业接触限值,发生听力损失的风险和程度随各岗位的累积噪声暴露量和暴露年数增加而升高。

     

    Abstract: Background

    Noise hazards of ship maintenance companies are serious and the noise environment is complex and changeable. It is difficult to assess the risk of hearing loss caused by noise exposure of workers.

    Objective

    This study is conducted to assess the risk of hearing loss caused by noise exposure of workers in a ship maintenance enterprise in Guangdong Province.

    Methods

    A total of 446 noise-exposed workers from a large ship maintenance enterprise in Guangdong Province in 2018 were selected as study subjects, and were asked about their general information and work conditions. An individual noise dosimeter was used to measure noise intensity, to estimate the equivalent continuous A-weighted sound pressure level, and then converted to a nominal 40 h working week (LEX, W) and a cumulative noise exposure (CNE) for each workstation. The risk assessment method of ISO 1999:2013 was used to calculate the change of hearing threshold level and the risk of hearing loss for each workstation, followed by the risk classification according to the AQ/T 4276-2016 Guidelines for Risk Management of Occupational Noise Hazard. Pearson correlation analysis and partial correlation analysis were used to analyze the relationships of hearing loss risk with CNE and exposure years.

    Results

    The LEX, W of all workstations exceeded the national occupational exposure limit. With the increase of CNE, the positive rate of high frequency hearing loss and the risk of occupational noise-induced deafness were increased (P < 0.05). Both the levels of high frequency hearing loss of either ear and occupational noise-induced hearing loss of either ear had positive correlations with CNE and exposure years (r=0.142-0.182, P < 0.05), but there were no correlations with LEX, W. The permanent hearing threshold shift induced by noise exposure of 90% workers (N90) was increased with the extension of exposure years (P < 0.05) and predicted age (P < 0.01), but N10 and N50 had no correlations with exposure years and predicted age. The risk of high frequency hearing loss of the employees was increased with the extension of noise exposure years (r=0.721, P < 0.01), and was positively correlated with noise intensity (r=0.653, P < 0.01). The risk of occupational noise-induced deafness of the employees was increased with the extension of noise exposure years (r=0.615, P < 0.01), and was positively correlated with noise intensity (r=0.609, P < 0.01). The risk levels of various workstations were increased with the increase of exposure years.

    Conclusion

    The noise exposure intensity of noise-exposed workstations in the selected ship maintenance enterprise exceeds the national occupational exposure limit. The risk and severity of hearing loss increase with higher CNE and extension of years of noise exposure in each workstation.

     

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