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北京工作场所噪声暴露水平监测

Surveillance of noise exposure levels in workplaces in Beijing.

作者信息

Dong Yan, Li Yuqian, Liu Yan, Zhao Yan, Zhang Heng, Sun Yun, Li Zizi

机构信息

Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.

National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.

出版信息

Front Public Health. 2025 Apr 29;13:1486497. doi: 10.3389/fpubh.2025.1486497. eCollection 2025.

DOI:10.3389/fpubh.2025.1486497
PMID:40365430
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12071908/
Abstract

Occupational noise-induced deafness is the second most prevalent occupational disease in China after pneumoconiosis. This study aims to estimate overall noise exposure levels and trends in industrial enterprises in Beijing. A total of 286 enterprises were monitored, and the median and interquartile range (IQR) of noise exposure levels were calculated. The distribution of noise exposure level was analyzed, revealing that 116 enterprises exceeded permissible noise limits. In terms of industry, noise exceedance was observed in 28 enterprises engaged in metal product manufacturing (24.13%) and 27 enterprises in motor vehicle manufacturing (23.28%). Regarding ownership type, 71 limited liability companies exhibited noise exceedance, making up 61.20% of the total. Multivariate logistic regression identified industry-specific risk factors associated with noise exceedance. The risk was significantly higher in metal product manufacturing (OR = 3.31, 95% CI: 1.61-6.82) and railway, shipping, aerospace, and other transportation equipment manufacturing (OR = 12.18, 95% CI: 1.40-105.63). Conversely, enterprises engaged in printing and recorded media reproduction exhibited a lower risk (OR = 0.29, 95% CI: 0.13-0.67). The noise exceedance rate in Beijing is lower than the national average, and levels in line closely with nationwide standards. Detailed surveillance of noise exposure levels provides a basis for occupational health authorities to conduct targeted supervision and formulate industry-specific control measures for high-risk sectors and job roles.

摘要

职业性噪声聋是我国仅次于尘肺病的第二大常见职业病。本研究旨在评估北京工业企业的总体噪声暴露水平及趋势。共监测了286家企业,计算了噪声暴露水平的中位数和四分位数间距(IQR)。分析了噪声暴露水平的分布情况,发现有116家企业超过了噪声允许限值。在行业方面,从事金属制品制造的28家企业(24.13%)和从事汽车制造的27家企业(23.28%)存在噪声超标情况。在企业所有制类型方面,71家有限责任公司存在噪声超标情况,占总数的61.20%。多因素logistic回归分析确定了与噪声超标相关的行业特定风险因素。金属制品制造业(OR = 3.31,95%CI:1.61 - 6.82)以及铁路、船舶、航空航天和其他运输设备制造业(OR = 12.18,95%CI:1.40 - 105.63)的风险显著更高。相反,从事印刷和记录媒介复制的企业风险较低(OR = 0.29, 95%CI:0.13 - 0.67)。北京的噪声超标率低于全国平均水平,且水平与国家标准密切相符。对噪声暴露水平的详细监测为职业卫生主管部门进行有针对性的监管以及针对高风险行业和工作岗位制定行业特定控制措施提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/12071908/f2ca1eef9aff/fpubh-13-1486497-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/12071908/ed9a8ac6e08a/fpubh-13-1486497-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/12071908/f2ca1eef9aff/fpubh-13-1486497-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/12071908/ed9a8ac6e08a/fpubh-13-1486497-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/12071908/f2ca1eef9aff/fpubh-13-1486497-g002.jpg

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本文引用的文献

1
Features for Evaluating Source Localization Effectiveness in Sound Maps from Acoustic Cameras.声学相机声图中声源定位有效性评估特征
Sensors (Basel). 2024 Jul 19;24(14):4696. doi: 10.3390/s24144696.
2
The Burden of Occupational Noise-Induced Hearing Loss From 1990 to 2019: An Analysis of Global Burden of Disease Data.1990 年至 2019 年职业性噪声所致听力损失负担:全球疾病负担数据分析。
Ear Hear. 2024;45(5):1138-1148. doi: 10.1097/AUD.0000000000001505. Epub 2024 Apr 15.
3
Surveillance of noise exposure level in industrial enterprises-Jiangsu Province, China, 2022.
2022 年中国江苏省工业企业噪声暴露水平监测。
Front Public Health. 2024 Feb 12;12:1230481. doi: 10.3389/fpubh.2024.1230481. eCollection 2024.
4
Association between Occupational Noise Exposure and Insomnia among Night-Shift Production Workers: A 4-Year Follow-up Study.职业性噪声暴露与夜班生产工人失眠的关系:一项为期 4 年的随访研究。
Noise Health. 2023 Jul-Sep;25(118):135-142. doi: 10.4103/nah.nah_15_23.
5
Decision trees and labeling of low noise pavements as support for noise action plans.决策树和低噪声路面的标记作为噪声行动计划的支持。
Environ Pollut. 2023 Nov 15;337:122487. doi: 10.1016/j.envpol.2023.122487. Epub 2023 Aug 31.
6
Relationship Between Occupational Noise and Hypertension in Modern Enterprise Workers: A Case-Control Study.现代企业工人职业性噪声与高血压的关系:病例对照研究。
Int J Public Health. 2022 Nov 4;67:1604997. doi: 10.3389/ijph.2022.1604997. eCollection 2022.
7
Traffic Flow Detection Using Camera Images and Machine Learning Methods in ITS for Noise Map and Action Plan Optimization.利用 ITS 中的摄像机图像和机器学习方法进行交通流检测,以优化噪声地图和行动计划。
Sensors (Basel). 2022 Mar 1;22(5):1929. doi: 10.3390/s22051929.
8
Association of Occupational Noise Exposure and Incidence of Metabolic Syndrome in a Retrospective Cohort Study.职业性噪声暴露与回顾性队列研究中代谢综合征发生率的关系。
Int J Environ Res Public Health. 2022 Feb 15;19(4):2209. doi: 10.3390/ijerph19042209.
9
Surveillance of Noise Exposure Level in the Manufacturing Industry - China, 2020.2020年中国制造业噪声暴露水平监测
China CDC Wkly. 2021 Oct 22;3(43):906-910. doi: 10.46234/ccdcw2021.222.
10
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China CDC Wkly. 2020 May 1;2(18):314-318. doi: 10.46234/ccdcw2020.080.