傅绍周, 潘文娜, 林芳, 邓永芳, 刘可平. 某市木制家具行业噪声频谱特征与听力损失的相关性研究[J]. 职业卫生与应急救援, 2025, 43(5): 631-635. DOI: 10.16369/j.oher.issn.1007-1326.2025.240607
引用本文: 傅绍周, 潘文娜, 林芳, 邓永芳, 刘可平. 某市木制家具行业噪声频谱特征与听力损失的相关性研究[J]. 职业卫生与应急救援, 2025, 43(5): 631-635. DOI: 10.16369/j.oher.issn.1007-1326.2025.240607
FU Shaozhou, PAN Wenna, LIN Fang, DENG Yongfang, LIU Keping. Correlation between noise spectrum characteristics and workers' occupational hearing loss in the wooden furniture industry of a city[J]. Occupational Health and Emergency Rescue, 2025, 43(5): 631-635. DOI: 10.16369/j.oher.issn.1007-1326.2025.240607
Citation: FU Shaozhou, PAN Wenna, LIN Fang, DENG Yongfang, LIU Keping. Correlation between noise spectrum characteristics and workers' occupational hearing loss in the wooden furniture industry of a city[J]. Occupational Health and Emergency Rescue, 2025, 43(5): 631-635. DOI: 10.16369/j.oher.issn.1007-1326.2025.240607

某市木制家具行业噪声频谱特征与听力损失的相关性研究

Correlation between noise spectrum characteristics and workers' occupational hearing loss in the wooden furniture industry of a city

  • 摘要:
    目的 通过分析某市木制家具行业噪声频谱特征与听力损失的相关性,探索降低该行业噪声致听力损失的工程防护措施。
    方法 2024年3—8月,使用方便抽样法,选取某市327名家具行业接噪工人作为研究对象,通过调查问卷收集工人基本情况,现场噪声检测分析噪声频谱特征信息,并通过纯音听阈测试对研究对象进行纯音听力气导和骨导检测,采用logistic回归分析频谱特征与接噪工人听力损失的相关性。
    结果 327名接噪工人中任一频率出现听力损失的有260人,检出率为79.51%,年龄为(40.72 ± 8.81)岁。logistic回归分析结果显示,累积噪声暴露量(CNE)每增加1 dB(A)·年,该行业接噪工人发生听力损失的风险增加1.094倍(P < 0.05);与女性相比,男性工人更易发生听力损失(OR = 2.306,95%CI:1.125 ~ 4.726);与中频段噪声组相比,中高频段噪声组(OR = 3.043,95%CI:1.038 ~ 8.917)和高频段噪声组(OR = 2.765,95%CI:1.500 ~ 5.096)工人更易发生听力损失。
    结论 该市木制家具行业工人听力损失与其噪声频谱特征密切相关,中高频和高频噪声导致该行业接噪工人听力损失的风险更大。相关企业应采取措施,在降低工作场所噪声声压级的同时,减少使用以中高频或高频为主的设备,并及时关注工人个人防护用品的使用及听力损失情况,减少其职业性听力损失的发生。

     

    Abstract:
    Objective The correlation between the noise frequency spectrum characteristics and worker's occupational hearing loss in the furniture industry of a city was assessed in order to identify more effective engineering protection measures to reduce noise and hearing loss.
    Methods From March to August 2024, 327 noise-exposed workers in thefurniture industry were selected using a convenience sampling method. Basic information of the workers was collected through questionnaires, the noise measurements were conducted in their workplaces to analyze noise frequency spectrum characteristics, and pure tone audiometry (air and bone conduction) was performed on the subjects. The logistic regression analysis was used to investigate the correlation between hearing loss and spectral characteristics of noise-exposed workers.
    Results Among 327 noise-exposed workers in the furniture industry, 260 workers (79.51%) had hearing loss at any frequency, with a mean age of (40.72 ± 8.81) years. Logistic regression analysis showed that for every 1 dB (A)·year increase in cumulative noise exposure (CNE), the risk of hearing loss increased by 1.094 times (P < 0.05). Compared to female workers, the male workers were more likely to develop hearing loss (OR = 2.306, 95% CI: 1.125 to 4.726). Workers exposed to mid-to-high-frequency noise (OR = 3.043, 95%CI: 1.038 to 8.917) and high-frequency noise (OR = 2.765, 95% CI: 1.500 to 5.096) had a higher risk of hearing loss compared to those in the mid-frequency noise group.
    Conclusions Hearing loss among workers in the furniture industry was closely related to the frequency spectrum characteristics of noise, with mid-to-high-frequency and high-frequency noise posing higher risks. Enterprises should take measures to reduce noise levels in workplaces, minimize the use of equipment resulting in mid-to-high or high-frequency noise, and pay timely attention to workers' use of personal protective equipment and their hearing status to reduce the incidence of occupational hearing loss.

     

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