Hearing Loss In Workers Research Articles

Comparative analysis of hearing loss caused by steady-state noise and impulse noise.

Varied noise environments, such as impulse noise and steady-state noise, may induce distinct patterns of hearing impairment among personnel exposed to prolonged noise. However, comparative studies on these effects remain limited. This study aims to delineate the different characteristics of hearing loss in workers exposed to steady-state noise and impulse noise. As of December 2020, 96 workers exposed to steady-state noise and 177 workers exposed to impulse noise were assessed. Hearing loss across various frequencies was measured using pure tone audiometry and distortion product otoacoustic emission (DPOAE) audiometry. Both groups of workers exposed to steady-state noise and impulse noise exhibited high frequencies hearing loss. The steady-state noise group displayed significantly greater hearing loss at lower frequencies in the early stages, spanning 1- 5 years of work (P < 0.05). Among individuals exposed to impulse noise for extended periods (over 10 years), the observed hearing loss surpassed that of the steady-state noise group, displaying a statistically significant difference (P < 0.05). Hearing loss resulting from both steady-state noise and impulse noise predominantly occurs at high frequencies. Early exposure to steady-state noise induces more pronounced hearing loss at speech frequencies compared to impulse noise.

Personal Protective Equipment Compliance In Preventing Hearing Loss In Agro-Industrial Area

Background: In Indonesia the impact of noise that causes hearing loss is still high compared to other countries in Southeast Asia. Noise can cause hearing loss in workers if the scale of the noise is high and occurs continuously. It can also trigger a decline in health that will have an impact on the performance of workers. Objective: to Analysis of PPE Compliance in Preventing Hearing Loss in Agro-Industrial Area. Methods: The research in this study used the literature review method. This search strategy uses several databases such as Pubmed, ResearchGate, and Google Scholar. This search use keywords PPE, Hearing Loss, and Agro-industrial. Results: Increasing noise intensity, duration of work, and duration of exposure can cause hearing loss because the inner hair cells and supporting cells are damaged. The longer the working period, the greater the noise exposure it will receive. The use of PPE can effectively prevent noise-induced hearing loss. Conclusion: Workers exposed to noise are highly susceptible to hearing loss. It depends on the intensity of the noise, the duration of exposure, the sensitivity of the individual or the worker itself and the frequency of the noise. Noise can be prevented, one of which is by using personal protective equipment when working. In this case, nurses can educate related to the use of PPE to prevent hearing loss.

Creating noise contour maps utilizing the NIOSH Noise Mapper App (A pilot study)

High noise levels can lead to physical and psychological stress, reduced productivity, and permanent hearing loss in workers. Traditional noise monitoring techniques indicate that mine workers, for example, consistently have a higher level of noise exposure when compared to workers in other heavy industries. It is critical to conduct risk assessments, identify noise sources, and control them to prevent occupational noise-induced hearing loss (ONIHL). The National Institute for Occupational Safety and Health (NIOSH) has recently developed the smartphone-based NIOSH Noise Mapper Application, which generates a noise contour map to enable individuals, workers, and hearing conservation professionals to apply the hierarchy of controls for optimized prioritization and focused targeting of the most effective hearing conservation interventions. Preliminary testing of the Noise Mapper app has been carried out in a hemi-anechoic chamber at the NIOSH Mining Laboratory in Pittsburgh. The results demonstrate that the Noise Mapper app can quickly and cost-effectively generate adequate noise contour maps to identify noise hazards and relevant noise-generating machinery to prioritize and target the most effective interventions. However, additional testing is needed to evaluate the Noise Mapper app's performance in real-world environments and its ability to measure multiple sound sources. This new tool supplements, but does not, replace traditional methods of creating noise contour maps.

Application of Machine Learning Algorithms to Analyze the Clinical Characteristics of NIHL Caused by Impulse Noise and Steady Noise.

Occupational hearing loss of workers exposed to impulse noise and workers exposed to steady noise for a long time may have different clinical characteristics. As of May 2019, all 92 servicemen working in a weapon experimental field exposed to impulse noise for over 1 year were collected as the impulse noise group. As of Dec 2019, all 78 servicemen working in an engine working experimental field exposed to steady noise for over 1 year were collected as the steady noise group. The propensity score matching (PSM) model was used to eliminate the imbalance of age and working time between the two groups of subjects. After propensity score matching, 51 subjects in each group were finally included in the study. The machine learning model is constructed according to pure tone auditory threshold, and the performance of the machine learning model is evaluated by accuracy, sensitivity, specificity, and AUC. Subjects in the impulse noise group and the steady noise group had significant hearing loss at high frequencies. The hearing of the steady noise group was worse than that of the impulse noise group at speech frequency especially at the frequency of 1 kHz. Among machine learning models, XGBoost has the best prediction and classification performance. The pure tone auditory threshold of subjects in both groups decreased and at high frequency. The hearing of the steady noise group at 1 kHz was significantly worse than that of the impulse noise group. XGBoost is the best model to predict the classification of our two groups. Our research can guide the prevention of damage caused by different types of noises.

Profile of metabolic damages in occupational hearing loss

Introduction: Early diagnosis of hearing loss is essential to minimize the social impact in relation to work routine and quality of life. Objective: Analyze the association between hearing loss in workers and metabolic diseases. Method: Retrospective cross-sectional study of secondary data on the use of medications in metabolic diseases, the data were collected in two occupational health clinics (C1 and C2) in Florianópolis - Santa Catarina (Brazil), from January 2020 to December 2022, considering references from exams from the year 2005. The data were organized in Microsoft Excel® spreadsheets and subsequently exported and analyzed using the MedCalc® statistical software version 22.006. Results: The data of 97 patients (71 men and 26 women) exposed to occupational noise (p = 0.0047), diagnosed with at least one metabolic disease (41.20%) and prevalence of ATC H class medications (p = 0.0465) and Losartan® (OR = 1.6976). Discussion and Conclusion: Occupational noise is the main auditory risk factor, and the presence of metabolic disease can influence hearing thresholds. To reduce the vulnerability of this population, it is necessary to promote, raise awareness and educate, using approaches related to health aspects at work.

Quantitative analysis of the characteristics and influencing factors of hearing loss among workers exposed to noise in Tianjin

Objective: To analyze the characteristics of high-frequency average hearing loss in both ears of noise exposed workers in Tianjin in 2020, and quantitatively analyze the influencing factors of high-frequency hearing loss in both ears of workers. Methods: In March 2023, Collect and organize basic information about noise-hazardous enterprises and personal information of workers exposed to noise. Data from the Tianjin Occupational Disease and Health Hazard Factors Information Monitoring System from January 2020 to December 2020, and analyze the impact of basic information of employees, enterprise size, regional distribution, industry category, and economic type on the high-frequency average hearing loss of workers during work. Apply logistic regression to quantitatively analyze the influencing factors of abnormal high-frequency average hearing threshold of noise exposed workers. Results: The size, economic type, industry category, and regional distribution of enterprises, as well as the gender, age, length of service of workers, have an impact on the abnormal high-frequency average hearing threshold of noise exposed workers (χ(2)=733.56、3 497、27、1352.84、1197.62、2570.59、22.30、506.60, P<0.001) . Quantitative analysis using a logistic regression model showed that in the basic information of workers, noise exposed workers were male (OR=2.500, P<0.001) and aged 30-39, 40-49, and 50-59 years (OR=1.33, P<0.001; OR=1.68, P<0.001; OR=1.52, P< 0.001) , with a length of service of 4 to<10 years and≥10 years (OR=1.08, P<0.001; OR=1.615, P<0.001) being the influencing factors for high-frequency hearing loss in both ears of noise exposed workers; In terms of enterprise characteristics, medium-sized, small and micro enterprises (OR=1.12, P<0.001; OR=1.75, P<0.001; OR=2.09, P<0.001) , enterprises located in the fourth district around the city (OR=1.268, P<0.001) , and enterprises with economic types of collective economy, other economy, private economy, Hong Kong, Macao and Taiwan investment, shareholding system, and other industry economies (OR are all >1, P<0.001) are all factors affecting high-frequency hearing loss in noise exposed personnel. Conclusion: Noise is a common occupational hazard factor in Tianjin's enterprises, especially for workers in micro enterprises who face a high risk of hearing abnormalities. Therefore, enterprises need to strengthen the management and intervention of noise operations to prevent the occurrence of hearing loss in workers.

Risk analysis of noise-induced hearing loss of workers in the automobile manufacturing industries based on back-propagation neural network model: a cross-sectional study in Han Chinese population

ObjectivesThis study aims to predict the risk of noise-induced hearing loss (NIHL) through a back-propagation neural network (BPNN) model. It provides an early, simple and accurate prediction method for NIHL.DesignPopulation...

Auditory Changes in Occupational Health Associated With Metabolic Diseases in Adult Workers

Introduction: The most common hearing losses in the population are associated with genetic conditions, use of ototoxic substances or medications, infectious diseases, metabolic diseases and chronic ear diseases and the association of exposure to occupational risks or the natural aging process. Objective: Verify the association between hearing loss in workers and metabolic diseases. Method: Retrospective cross-sectional study with analysis of secondary data of subjects exposed to occupational noise and undergoing drug treatment for metabolic disease, attended in two occupational health clinics (C1 and C2) from January 2020 to December 2022, considering the data of reference examinations from the year 2005. Results: Of the n = 97 subjects evaluated, 73.20% were male, exposed to occupational noise (64.90%), with medication use for treating cardiovascular diseases (89.70%). The most recurrent auditory complaint was tinnitus (28.90%), n = 53 subjects presented sensorineural hearing loss with a statistical association between the decline of hearing loss and medications used for metabolic and hormonal regulation. Conclusion: Here was a higher frequency in the use of medications for treating cardiovascular diseases with a risk of triggering or worsening hearing loss in these subjects and greater impairment and decline of hearing thresholds were observed in the results of C2.

A risk model for occupational noise-induced hearing loss in workers.

Occupational hearing loss is one of the most common work-related diseases with various risk factors and considerable negative impacts on both physical and mental well-being of affected workers. Occupational noise-induced hearing loss (ONIHL) has a complex interaction with personal, environmental and occupational factors. This study aimed to develop a risk model for ONIHL in workers by identifying risk factors and their interactions. The subjects were 605 males in an industrial factory in Arak, Iran. The study took place between 2022 and 2023. The sociodemographic and occupational characteristics were collected by a health technician using questionnaires and medical records. Hearing status was assessed using audiometry by a qualified audiologist. Hearing loss was analyzed by univariate logistic analysis including age, smoking, medical history, type of occupation, and some workplace hazards. The risk model was generated by logistic regression. Hearing loss in the participants was 44.13% (n = 267). In univariate logistic analysis, age (OR: 2.93,95% CI: 1.848-4.656), smoking (OR: 1.80, 95% CI: 1.224-2.655), work experience (OR: 1.06, 95% CI: 1.016-1.107), previous exposure to noise (OR: 1.60, 95% CI: 1.112-2.312) or vibration (OR: 1.68, 95% CI: 1.150-2.475) and type of occupation (OR: 2.126, 95% CI: 1.055-4.285) were associated with an increased risk of ONIHL (P < 0.05). It was found that vibration exposure, work experience, previous noise exposure, type of occupation as well as age and smoking significantly affected the likelihood of developing ONIHL. This risk model could help management to prevent ONIHL and enhance application-oriented research on the condition.

Tobacco Smoking as a Risk Factor of Hearing Impairment in Workers Exposed to Occupational Noise: A Literature Review

Background: Sensorineural hearing loss ranks first among occupational diseases in workers of noisy occupations. Recent studies have proven the role of tobacco smoking as a risk factor for hearing impairment in workers exposed to industrial noise. Objective: To summarize and systematize the results of studying the impact of tobacco smoking on hearing impairment in workers employed in noisy jobs. Materials and methods: We have searched Scopus, Web of Science, PubMed, and RSCI databases for the studies published in 1990–2023 using the following keywords and phrases in Russian and English: smoking, hearing loss, occupational noise-induced hearing loss, sensorineural hearing loss, noise, and pathogenesis. Materials from 36 full-text sources containing information on the role of tobacco smoking and the pathogenetic mechanisms of hearing loss in individuals exposed to noise at work were used for the review. Results: Currently, there is no consensus on primary targets and the main pathogenetic mechanism of hearing loss. An increasing role in its development has been assigned recently to metabolic disorders with subsequent activation of signaling pathways leading to cell apoptosis. We have established that tobacco smoking can be an independent risk factor for hearing loss at high frequencies, while the combined exposure to tobacco smoking and occupational noise has an additive effect. Smoking can act as an independent factor causing hearing impairment at lower noise levels in the workplace, and quitting smoking reduces the risk of hearing loss. Conclusion: Our findings allow us to expand the understanding of the role of tobacco smoking in hearing loss in workers employed in noisy jobs and the pathogenetic mechanisms of hearing impairment related to chronic occupational noise exposure in smokers in order to substantiate a comprehensive, integrated approach to its treatment and prevention.

Workers’ Characteristics of Hearing Loss at Soekarno-Hatta International Airport, Indonesia

This study aimed to analyze the characteristics and factors of worker behavior, including age, the use of ear protection, work duration, a record of diabetes mellitus or hypertension, work rotation, and noise hazards involved in hearing loss in PT. X at Soekarno-Hatta International Airport, Indonesia. A cross-sectional study from May 2017 to June 2017 involved 73 workers in the power service area (TZ Unit) exposed to noise levels &lt;85 dBA and ≥85 dBA, using an audiometry test for hearing loss and Sound Level Meter for noise hazards was conducted. The Chi-square test showed a significant correlation between age (OR 8.4, 95% Cl = 1.6-44.1), work duration (OR 7.6, 95% Cl = 0.9-67.2), and the use of ear protection (OR 7.8, 95% Cl = 1.4-44.2) with hearing loss in workers in the power service area. The multivariate analysis revealed that workers exposed to a noise level of 85 dBA had a 1.7 times greater risk of hearing loss than workers exposed to a noise level of &lt;85 dBA after controlling for age, work duration, use of ear protection, medical history, and work rotation.

DESCRIPTION OF NOISE IN THE COMPRESSOR AND GENERATOR AREA AT PT PERTAMINA EP ASSET 3 TAMBUN FIELD – BEKASI

PT Pertamina EP Asset 3 Tambun Field is a state-owned company engaged in Production Exploration, in the process this company has tools that must pay attention to the noise level, namely Compressors and Gensets. Compressors and generators are very influential on hearing loss in workers, therefore efforts to prevent hearing loss must be carried out. The objectives to be known are to know the noise conservation program, Standard Operating Procedures (SOP) in implementing noise conservation, and Implementation of Noise Conservation in Compressor and Genset Areas. This research method uses direct observation, interviews and literature studies. The results show that the Hearing Conservation Program has 7 (seven) components, namely: noise exposure survey, noise control, worker training, personal protective equipment, audiometric examination, recording and reporting, program assessment. The procedure used refers to the Individual Work Procedure (TKI) for Noise Measurement. The implementation of the Noise Measurement Program is carried out by the contractor once every 1 (one) year or every time there is a process change or a new tool. The Hearing Conservation Program must continue to make continuous improvements. It should be noted in monitoring workers in the Genset and Compressor area so that workers always use hearing protection equipment.

Workers’ Characteristics of Hearing Loss at Soekarno-Hatta International Airport, Indonesia

This study aimed to analyze the characteristics and factors of worker behavior, including age, the use of ear protection, work duration, a record of diabetes mellitus or hypertension, work rotation, and noise hazards involved in hearing loss in PT. X at Soekarno-Hatta International Airport, Indonesia. A cross-sectional study from May 2017 to June 2017 involved 73 workers in the power service area (TZ Unit) exposed to noise levels &lt;85 dBA and ≥85 dBA, using an audiometry test for hearing loss and Sound Level Meter for noise hazards was conducted. The Chi-square test showed a significant correlation between age (OR 8.4, 95% Cl = 1.6-44.1), work duration (OR 7.6, 95% Cl = 0.9-67.2), and the use of ear protection (OR 7.8, 95% Cl = 1.4-44.2) with hearing loss in workers in the power service area. The multivariate analysis revealed that workers exposed to a noise level of 85 dBA had a 1.7 times greater risk of hearing loss than workers exposed to a noise level of &lt;85 dBA after controlling for age, work duration, use of ear protection, medical history, and work rotation.

Modeling and Predicting the Changes in Hearing Loss of Workers with the Use of a Neural Network Data Mining Algorithm: A Field Study

The aim of the study study was to model, with the use of a neural network algorithm, the significance of a variety of factors influencing the development of hearing loss among industry workers. The workers were categorized into three groups, according to the A-weighted equivalent sound pressure level of noise exposure: Group 1 (LAeq 85 dB). The results obtained for Group 1 indicate that the hearing thresholds at the frequencies of 8 kHz and 1 kHz had the maximum effect on the development of hearing loss. In Group 2, the factors with maximum weight were the hearing threshold at 4 kHz and the worker’s age. In Group 3, maximum weight was found for the factors of hearing threshold at a frequency of 4 kHz and duration of work experience. The article also reports the results of hearing loss modeling on combined data from the three groups. The study shows that neural data mining classification algorithms can be an effective tool for the identification of hearing hazards and greatly help in designing and conducting hearing conservation programs in the industry.

Occupational noise legislation in Asia-Pacific region

To prevent hearing loss for workers exposed to intense workplace noise, occupational noise laws have been enacted in many countries. However, for the legislations on occupational safety and health in Europe and the Americas, it seems that "permissible exposure limit (PEL: 8-hour average)", "exchange rate (ER)", "upper limit of impact noise", and other requirements for occupational noise exposure are not unified at present. On the other hand, few reports have been published in English on laws and regulations related to occupational noise in the Asia-Pacific region. Therefore, in this paper, the outlines of PEL, ER, " upper limit of impact noise ", "wearing personal protective equipment", " audiometric test request", "penalties", etc. for occupational noise in the Asia-Pacific region were summarized. As in Europe and the Americas, many countries of the investigated Asia-Pacific region use 85dBA or 90dBA PELs, 3dB or 5dB ERs and upper limit of 140 dB(C) for impact noise.

Research on early warning model of the hearing loss of workers exposed to noise

Objective: To explore the change of hearing threshold of workers exposed to noise, establish an individual-based hearing loss early warning model, accurately and differentiated the health of workers exposed to noise. Methods: In September 2019, all physical examination data of 561 workers exposed to noise from an enterprise were collected since their employment. Three indicators of average hearing threshold of the better ear, namely, at high frequency, 4000 Hz and speech frequency, were constructed. The generalized estimating equation (GEE) was used to adjust gender and age and establish the warning model of each indicator. Finally, sensitive indicators and warning models were screened according to AUC and Yoden index. Results: Among the 561 workers exposed to noise, 26 (4.6%) workers had hearing loss. The sensitivity indicators were the average hearing threshold at speech frequency ≥20 dB, high frequency ≥30 dB and 4000 Hz ≥25 dB. The AUC of each index was 0.602, 0.794 and 0.804, and the Youden indexes were 0.204, 0.588 and 0.608, respectively. In GEE of hearing loss warning models, high-frequency hearing threshold ≥20 dB and 4000 Hz hearing threshold ≥25 dB were the optimal models, with AUC of 0.862. Conclusion: Combined with the changes of individual hearing threshold over the years, can accurately assess the risk of individual hearing loss of workers exposed to noise.

Assessment of noise-induced hearing loss (NIHL) of weaving factory workers in West Bengal, India - a pilot study

Introduction: Excessive noise exposure is one of the majorly considered occupational stress for industrial workers. The operation of steel weaving machinery producing a high level of noise such as weaving machines, crimping machines, and hydraulic press machines for a prolonged period increases the risk of developing noise-induced hearing loss (NIHL). The main aim of the study was to assess the auditory health of the workers exposed to a high level of noise in a steel weaving factory and the prevalence of NIHL among workers. Methods: 26 subjects in the age group of 25-55 years from a steel weaving industry of Chinsurah town, Hooghly district of West Bengal were randomly selected with 5 years of exposure for the study. The control group was selected from the same age group, socioeconomic status and geographical location and having no history of such exposure. The physiological parameters of the workers, noise levels in the workplace and auditory functions and the risk of NIHL were assessed by standardized protocol and statistically analyzed. Results: The study indicated that steel weaving factory workers had significantly reduced hearing functionality at 4000Hz and 6000Hz in the left ear respectively. It also revealed that the workers were exposed to high noise exposure of 131dB near weaving machine, 113dB at crimping machine, and 84dB at hydraulic press machine respectively. Conclusion: A high level of noise exposure leads to deterioration in the hearing capabilities of the steel weaving industrial workers. Implementation of ergonomic interventions in the workplace and the use of personal protective equipment (PPE) may decrease the prevalence of NIHL and can help to prevent hearing loss in workers.

Risk assessment on noise-induced hearing loss of 488 workers in a petrochemical plant

Objective: To assess the risk of noise-induced hearing loss in workers from a petrochemical plant. Methods: In October 2020, 488 male workers exposed to noise in a petrochemical plant in Guangdong Province were selected by cluster sampling. Acoustics-Estimation of Noise-Induced Hearing Loss (ISO 1999: 2013) was used to assess the risk of noise-induced hearing loss of workers, and individual fit testing was used to evaluate the sound attenuation obtained by the workers. The risk assessment results and fitness test results of workers with different hearing levels were compared. Results: The average noise exposure equivalent sound level of the workers in the petrochemical plant was 86.7 dB (A) . The median of PARs (personal attenuation ratings) was 16 (4, 23) dB. There were statistically significant differences in age and service years among workers with different hearing results (P<0.05) , but no statistically significant differences in noise intensity and PARs (P>0.05) . According to risk assessment results of ISO 1999: 2013, the current risk of high-frequency hearing loss in 488 workers were negligible risk and acceptable risk. The risk of noise-induced deafness weredivided into three levels: negligible risk in 452 workers (92.7%) , medium risk in 27 workers (5.5%) and high risk in 9 workers (1.8%) . The risk of high-frequency hearing loss in next 5 to 15 years for workers with noise exposure level of >94 to 97 dB and >97 dB or above would be medium risk or above. The risk of noise-induced deafness in next 5 to 15 years for workers exposed to noise withlevel of 91 to 94 dB would be medium risk or above. Conclusion: The risk of noise-induced hearing loss in workers from the petrochemical plant is high in next 5 to 15 years, and noise prevention and control measures need to be strengthened. ISO1999: 2013 assessment method may underestimate the risk of hearing loss among workers.

Analysis of influencing factors of high frequency hearing loss in workers exposed to noise based on multilevel model

Objective: To understand the current situation of high-frequency hearing loss of workers exposed to occupational noise in Hubei Province and its multi-level influencing factors. Methods: In June 2021, the basic information, occupational history, physical examination results and other relevant information in the "Occupational Health Examinations Case Cards" for noise workers in Hubei Province in 2020 were extracted from the subsystem of the "China Disease Prevention and Control Information System". Multilevel level of logistic model was used to analyze the related factors of high-frequency hearing loss of noise-exposed workers. Results: In 2020, the incidence rate of occupational high-frequency hearing loss in Hubei Province was 8.25% (6450/78152), and the incidence rate in various regions of the province ranged from 1.13% to 19.87%. At the individual level, male, ≥ 30 years of age, 6-10 years of service, small and micro enterprises, as well as construction, mining, manufacturing, transportation and rental services were the risk factors for high-frequency hearing loss (P<0.05). The risk of high-frequency hearing loss among workers in foreign-funded enterprises was significantly lower than that of workers in state-owned/collective enterprises (P<0.05). At the regional level, the younger the age of the employees, the lower the risk of high-frequency hearing loss (P<0.05). There was no significant correlation between the regional economic level and the risk of high-frequency hearing loss (P>0.05) . Conclusion: The incidence rate of occupational high-frequency hearing loss in Hubei Province is low in 2020, but the incidence rate varies greatly in different regions of the province, mainly due to differences in employment age, while the development of regional economic level has not reduced the risk of occupational high-frequency hearing loss.

Risk assessment of hearing loss of noise workers in three petrochemical enterprises

To evaluate the risk of noise induced hearing loss among workers in petrochemical enterprises. Number of workers exposed to noise were recruited from three petrochemical enterprises. The noise exposure level(L_(EX, W)) of the research objects was measured, their occupational history was investigated, and the audiometric testing was carried out. The ISO 1999:2013 model was used to calculate the change of hearing threshold level and the risk of hearing loss in each post, and compared the result of model with the result of the audiometric testing. The median of L_(EX, W) is range from 79.8 to 85.0 dB(A). L_(EX, W) among all posts were greater than 80 dB(A) except naphtha processing operators. The result of pure tone hearing threshold test showed that the prevalence of high-frequency hearing loss among workers exposed to noise was 12.8%. According to the classification of noise operation according to the maximum value of L_(EX, W), the operator for styrene dry gas combined unit is the only post that is extremely dangerous in the department of chemical, the other posts in the department of chemical and all posts in the department of public works are exposed to light and medium noise hazards, and 62.5% the external operators of the oil refining department are under heavy and extremely hazardous. According to the evaluation result of ISO 1999:2013, the risk of high-frequency hearing loss among workers in crude distillation unit, hydrogen production unit and the electricians of electrical system is high. The measured median of noise-induced pernament threshold shift(NIPTS) among male workers in different workstation was higher than the predicted median of NIPTS of ISO 1999, and the difference was statistically significant(P&lt;0.01), and the predicted values for four-fifths of positions were more than 10 dB lower than the measured value. The risk of noise induced hearing loss of workers in petrochemical enterprises is high.