Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers

Objective: This study aimed to investigate the epidemiological characteristics of occupational noise-induced hearing loss (NIHL) among manufacturing workers, and to provide evidence for diagnosing and preventing occupational hearing loss caused by complex noise, which is different from Gaussian nois...

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Main Authors: Lifang Zhou, Xiaoying Ruan, Tongshuai Wang, Hongwei Xie, Yong Hu, Zhihao Shi, Jiarui Xin, Jiena Zhou, Panqi Xue, Fang Wei, Yixin Zhang, Meibian Zhang, Hua Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Integrative Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnint.2022.978213/full
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author Lifang Zhou
Xiaoying Ruan
Tongshuai Wang
Hongwei Xie
Yong Hu
Zhihao Shi
Jiarui Xin
Jiena Zhou
Panqi Xue
Fang Wei
Yixin Zhang
Meibian Zhang
Hua Zou
author_facet Lifang Zhou
Xiaoying Ruan
Tongshuai Wang
Hongwei Xie
Yong Hu
Zhihao Shi
Jiarui Xin
Jiena Zhou
Panqi Xue
Fang Wei
Yixin Zhang
Meibian Zhang
Hua Zou
author_sort Lifang Zhou
collection DOAJ
description Objective: This study aimed to investigate the epidemiological characteristics of occupational noise-induced hearing loss (NIHL) among manufacturing workers, and to provide evidence for diagnosing and preventing occupational hearing loss caused by complex noise, which is different from Gaussian noise in temporal structure.Methods: One thousand and fifty manufacturing workers exposed to occupational noise were recruited in a cross-sectional survey. Exposure characteristics and epidemiological distribution of hearing loss and noise exposure metrics (noise energy and kurtosis) were investigated, and the relationship between noise exposure and hearing loss was analyzed. The effects of kurtosis on hearing threshold shift across different frequencies and on NIHL development with exposure duration and noise intensity were also investigated.Results: Each type of work had specific noise exposure metrics. Noise intensity and kurtosis were independent parameters (r = −0.004, p = 0.885). The prevalence of NIHL and the hearing threshold level had a specific distribution in different types of work. Kurtosis deepened the hearing notch at high frequencies and accelerated the formation of early hearing loss. The effect of exposure duration and noise intensity on the prevalence of high-frequency NIHL (i.e., at 3, 4, 6, and 8 kHz) for manufacturing workers increased with kurtosis in workers with noise exposure duration of less than 10 years and with LAeq.8h between 80 and 90 dB(A). Male (OR = 1.557, 95%CI = 1.141–2.124), age (OR = 1.033, 95%CI = 1.014–1.052), exposure duration (OR = 1.072, 95%CI = 1.038–1.107), kurtosis (OR = 1.002, 95%CI = 1.001–1.003), and noise intensity (LAeq.8h; OR = 1.064, 95%CI = 1.044–1.084) were risk factors for high-frequency NIHL. The speech-frequency NIHL (i.e., at 0.5, 1, and 2 kHz) risk of workers exposed to manufacturing noise was related to age (OR = 1.071, 95%CI = 1.043–1.100). There were no statistically significant associations between speech-frequency NIHL and sex, noise exposure duration, kurtosis, and noise intensity (LAeq.8h).Conclusion: The high-frequency NIHL prevalence among manufacturing workers is associated with sex, age, exposure duration, noise intensity, and temporal structure of noise, while the speech-frequency NIHL prevalence is associated with age. Kurtosis strengthens the association of noise exposure duration and noise intensity with high-frequency hearing loss. The influence of noise temporal structure should be considered in the diagnosis and early prevention of occupational hearing loss caused by complex noise.
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spelling doaj.art-b33dccd2c5184767930025d91afae1682022-12-22T04:25:30ZengFrontiers Media S.A.Frontiers in Integrative Neuroscience1662-51452022-09-011610.3389/fnint.2022.978213978213Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workersLifang Zhou0Xiaoying Ruan1Tongshuai Wang2Hongwei Xie3Yong Hu4Zhihao Shi5Jiarui Xin6Jiena Zhou7Panqi Xue8Fang Wei9Yixin Zhang10Meibian Zhang11Hua Zou12Institute of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaDepartment of Occupational Health, Hangzhou Hospital for Prevention and Treatment of Occupational Disease, Hangzhou, ChinaClinical and Translational Research Center, Tongji University School of Medicine, Shanghai, ChinaInstitute of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaInstitute of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaJiaxing Center for Disease Control and Prevention, Jiaxing, ChinaNational Institute of Occupational Health and Poison Control, Beijing, ChinaDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, ChinaInstitute of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaInstitute of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaSchool of Medicine, Hangzhou Normal University, Hangzhou, ChinaNational Institute of Occupational Health and Poison Control, Beijing, ChinaInstitute of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, ChinaObjective: This study aimed to investigate the epidemiological characteristics of occupational noise-induced hearing loss (NIHL) among manufacturing workers, and to provide evidence for diagnosing and preventing occupational hearing loss caused by complex noise, which is different from Gaussian noise in temporal structure.Methods: One thousand and fifty manufacturing workers exposed to occupational noise were recruited in a cross-sectional survey. Exposure characteristics and epidemiological distribution of hearing loss and noise exposure metrics (noise energy and kurtosis) were investigated, and the relationship between noise exposure and hearing loss was analyzed. The effects of kurtosis on hearing threshold shift across different frequencies and on NIHL development with exposure duration and noise intensity were also investigated.Results: Each type of work had specific noise exposure metrics. Noise intensity and kurtosis were independent parameters (r = −0.004, p = 0.885). The prevalence of NIHL and the hearing threshold level had a specific distribution in different types of work. Kurtosis deepened the hearing notch at high frequencies and accelerated the formation of early hearing loss. The effect of exposure duration and noise intensity on the prevalence of high-frequency NIHL (i.e., at 3, 4, 6, and 8 kHz) for manufacturing workers increased with kurtosis in workers with noise exposure duration of less than 10 years and with LAeq.8h between 80 and 90 dB(A). Male (OR = 1.557, 95%CI = 1.141–2.124), age (OR = 1.033, 95%CI = 1.014–1.052), exposure duration (OR = 1.072, 95%CI = 1.038–1.107), kurtosis (OR = 1.002, 95%CI = 1.001–1.003), and noise intensity (LAeq.8h; OR = 1.064, 95%CI = 1.044–1.084) were risk factors for high-frequency NIHL. The speech-frequency NIHL (i.e., at 0.5, 1, and 2 kHz) risk of workers exposed to manufacturing noise was related to age (OR = 1.071, 95%CI = 1.043–1.100). There were no statistically significant associations between speech-frequency NIHL and sex, noise exposure duration, kurtosis, and noise intensity (LAeq.8h).Conclusion: The high-frequency NIHL prevalence among manufacturing workers is associated with sex, age, exposure duration, noise intensity, and temporal structure of noise, while the speech-frequency NIHL prevalence is associated with age. Kurtosis strengthens the association of noise exposure duration and noise intensity with high-frequency hearing loss. The influence of noise temporal structure should be considered in the diagnosis and early prevention of occupational hearing loss caused by complex noise.https://www.frontiersin.org/articles/10.3389/fnint.2022.978213/fullnoisecomplex noisehearing lossmanufacturing industryepidemiological characteristics
spellingShingle Lifang Zhou
Xiaoying Ruan
Tongshuai Wang
Hongwei Xie
Yong Hu
Zhihao Shi
Jiarui Xin
Jiena Zhou
Panqi Xue
Fang Wei
Yixin Zhang
Meibian Zhang
Hua Zou
Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers
Frontiers in Integrative Neuroscience
noise
complex noise
hearing loss
manufacturing industry
epidemiological characteristics
title Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers
title_full Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers
title_fullStr Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers
title_full_unstemmed Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers
title_short Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers
title_sort epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers
topic noise
complex noise
hearing loss
manufacturing industry
epidemiological characteristics
url https://www.frontiersin.org/articles/10.3389/fnint.2022.978213/full
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