Objective: To summarize and analyse of literature on the susceptibility genes of noise induced hearing loss (NIHL) , and the key genes were screened and obtained by bioinformatics method, so as to provide reference for the prevention research of NIHL. Methods: In September 2021, Based on CNKI, NCBI Pubmed database and Web of Science database, this paper conducted bibliometric analysis and bioinformatics analysis on the genetic literature related to the susceptibility to noise-induced hearing loss from 1999 to 2020. Endnote X9 software and the WPS office software were used for bibliometric analysis, and online software STRING and Cytoscape software were used for bioinformatics analysis. Results: A total of 131 literatures were included in the study, involving 40 genes in total. Bibliometric analysis shows that 131 papers which included 36 Chinese articles and 95 English articles were published in 63 biomedical journals; the highest number of published articles was 19 in 2020. Bioinformatics analysis suggests that GAPDH、SOD2、SOD1、CAT、CASP3、IL6 and other genes play a key role in the interaction network. The involved pathways mainly include MAP2K and MAPK activations, PTEN regulation, P53-depardent G1 DNA damage response, signaoling by BRAF and RAF fusions and soon. Conclusion: The study of noise induced hearing loss involves multi gene biological information, and bioinformatics analysis is helpful to predict the occurrence and development of noise induced hearing loss.
Humans ; Hearing Loss, Noise-Induced/epidemiology* ; Genetic Predisposition to Disease ; Polymorphism, Single Nucleotide ; Computational Biology ; Bibliometrics ; Noise, Occupational

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.
Humans ; Hearing Loss, Noise-Induced/diagnosis* ; Noise, Occupational/adverse effects* ; Audiometry ; Deafness ; Employment ; Occupational Exposure/adverse effects* ; Occupational Diseases/diagnosis*

Objective: To get insight into the current practice of noise reduction effect of workers as they wore hearing protectors in different domestic enterprises and the possible affected factors. Methods: From October 2020 to April 2021, using a random sampling method, 1197 workers exposed to noise in petrochemical factories, textile factories, and parts manufacturing factories were selected as the study subjects. The noise reduction effect of hearing protectors worn by workers in daily use was tested using a hearing protector suitability testing system. The personal sound attenuation level (PAR) was compared among workers in three enterprises, Targeted intervention and repetitive testing were conducted for workers who did not meet the noise reduction effect required by the enterprise, and the changes in PAR of workers before and after the intervention were compared. The comparison of baseline PARs between two or more groups was performed using the Mann Whitney test, the comparison of baseline PARs with post intervention PARs was performed using the Wilcoxon signed rank sum test, and the comparison of qualitative data between two or more groups was performed using the Chi square test. Results: The median baseline PAR for all workers was 15 dB. Men, age<30 years old, education level at or above college level, working experience of 5 to 15 years, and those who used hearing protectors for 5 to 15 years had higher PARs, with statistically significant differences (P<0.05). The median difference in baseline PAR among workers from three enterprises was statistically significant (H=175.06, P<0.01). The median PAR of subjects who did not pass the baseline increased from 3 dB to 21 dB after intervention (Z=-27.92, P<0.01) . Conclusion: Some workers wearing hearing protectors do not meet the required PAR, and low PARs may be related to incorrect wearing methods and incorrect selection of hearing protectors. As a tool for testing, training, and assisting in selection, the hearing protector suitability testing system is of great significance for worker hearing protection.
Male ; Humans ; Adult ; Hearing Loss, Noise-Induced/prevention & control* ; Ear Protective Devices ; Noise, Occupational/prevention & control* ; Hearing ; Audiometry

Objective: To explore the sound insulation, sound absorption and other noise reduction transformation methods in a noise workshop handover control room. Methods: In December 2021, through the occupational health investigation and on-site testing of the handover control room of a noise workshop, the causes of excessive noise were analyzed, and the transformation design scheme to reduce noise was proposed and the effect was analyzed. Results: Before the transformation, the peak frequency band noise intensity of the noise workshop handover control room was 112.8 dB (A), and the peak frequency was 1000 Hz. After noise reduction, the theoretical calculated control value was 61.0 dB (A), and the measured noise intensity was 59.8 dB (A) . Conclusion: The noise intensity of the handover control room is reduced after noise reduction, which is in line with the contact limit requirements of the control room in GBZ 1-2010 "Hygienic Standards for the Design of Industrial Enterprises", and has reference significance for noise control engineering.
Noise/prevention & control* ; Occupational Health ; Industry ; Reference Standards ; Hygiene ; Noise, Occupational/prevention & control*

Objective: To understand the diagnosis of suspected occupational diseases reported in Guangzhou from 2014 to 2019, so as to provide theoretical basis and technical support for the supervision of suspected occupational disease reports. Methods: By cluster sampling, the suspected occupational disease report card, occupational disease report card and pneumoconiosis report card reported by Guangzhou from January 1, 2014 to December 31, 2019 in the occupational disease and occupational health information monitoring system were collected for matching analysis to understand the diagnosis of suspected occupational disease patients. Results: From 2014 to 2019, a total of 1426 suspected occupational cases in 7 categories and 32 species were reported in Guangzhou. The average number of reported cases per year was about 240. The main diseases of suspected occupational diseases were suspected occupational noise deafness (68.44%, 976/1426) , suspected occupational chronic benzene poisoning (16.48%, 235/1426) , suspected occupational other pneumoconiosis (4.84%, 69/1426) , suspected occupational silicosis (3.23%, 46/1426) and suspected occupational welder pneumoconiosis (1.82%, 26/1426) . The diagnostic rate required to enter the occupational disease diagnostic program is 36.61% (522/1426) , and the diagnostic rate is 59.20% (309/522) . In 2019, the diagnosis rate of suspected occupational diseases was the lowest (23.92%, 61/255) , Huadu District was the lowest (8.33%, 9/108) , suspected occupational pneumoconiosis was the lowest (28.03%, 44/157) , the diagnosis rate of suspected occupational diseases reported by the Centers for Disease control and prevention was the lowest (17.43%, 19/109) , and the diagnosis rate of suspected occupational diseases reported by outpatient treatment was the lowest (22.22%, 2/9) . The suspected occupational diseases reported by institutions outside Guangzhou did not enter the occupational disease diagnosis procedure. Suspected occupational skin diseases, suspected occupational diseases caused by physical factors and suspected occupational tumors were diagnosed, and the diagnosis rate of occupational disease prevention and control institutions was the highest (94.87%, 37/39) . Conclusion: The main types of suspected occupational diseases reported during these six years are noise deafness, chronic benzene poisoning and pneumoconiosis. The overall diagnosis rate and diagnosis rate of suspected occupational diseases are not high. It is suggested to improve the network direct reporting system of suspected occupational diseases and strengthen the follow-up management and supervision of suspected occupational diseases.
China/epidemiology* ; Humans ; Noise, Occupational ; Occupational Diseases/epidemiology* ; Physical Examination ; Pneumoconiosis/epidemiology* ; Silicosis

Objective: To understand the harm degree of underground noise and provide basis for noise control. Methods: In November 2019, 13 typical coal mines in Sichuan Province were selected as the research objects, and a total of 1203 sites and 609 jobs of noise exposure were investigated. Results: The noise intensity P75 >80 dB (A) was measured. The noise intensity of the inspection place of the air compressor is >86 dB (A) , the noise intensity of the inspection place of the gas drainage and the operation place of the main fan is between 80-85 dB (A) . Conclusion: Besides the harm of dust, noise exposure should also be paid attention to, and the measures of sound absorption and sound insulation should be taken or personal protection should be strengthened.
Coal ; Coal Mining ; Dust/analysis* ; Noise ; Occupational Exposure

Objective: To explore the association between occupational noise exposure and cardiovascular disease (CVD) risk in a large Chinese population. Methods: In December 2019, the study included 21412 retired participants from the Dongfeng-Tongji Cohort Study at baseline from September 2008 to June 2010, occupational noise exposure was evaluated through workplace noise level and/or the job titles. In a subsample of 8931 subjects, bilateral hearing loss was defined as a pure-tone mean of 25 dB or higher at 0.5, 1 , 2, and 4 kHz in both ears. Logistic regression models were used to explore the association of occupational noise exposure, bilateral hearing loss with 10-year CVD risk. Results: Compared with participants without occupational noise exposure, the 10-year CVD risk was significantly higher for noise exposure duration ≥20 years (OR=1.20, 95%CI:1.01-1.41 , P=0.001) after adjusting for potential confounders. In the sex-specific analysis, the association was only statistically significant in males (OR=2.34, 95%CI: 1.18-4.66, P<0.001) , but not in females (OR=1.15, 95%CI:0.97-1.37, P=0.153). In the subsample analyses, bilateral hearing loss, which was an indicator for exposure to loud noise, was also associated with a higher risk of 10-year CVD (OR= 1.17, 95% CI:1.05-1.44, P <0.001) , especially for participants who were males (OR =1.24, 95% CI:1.07-2.30, P<0.001) , aged equal and over 60 years old (OR=2.30, 95%CI: 1.84-2.88, P<0.001) , and exposed to occupational noise (OR=1.66, 95%CI: 1.02-2.70, P=0.001). Conclusion: Occupational noise exposure may be a risk factor for CVD.
Aged ; Cardiovascular Diseases/epidemiology* ; Cohort Studies ; Female ; Hearing Loss, Bilateral/complications* ; Hearing Loss, Noise-Induced/epidemiology* ; Humans ; Male ; Middle Aged ; Noise, Occupational/adverse effects* ; Occupational Diseases/epidemiology* ; Occupational Exposure/adverse effects*

Objective: To explore the applicability of three different kinds of noise occupational health risk assessment methods to the occupational health risk assessment of noise exposed positions in an automobile foundry enterprise. Methods: In July 2020, the occupational-health risk assessment of noise-exposed positions was conducted by using the Guidelines for risk management of occupational noise hazard (guideline method) , the International Commission on Mining and Metals Guidelines for Occupational Health Risk Assessment (ICMM) method and the Occupational-health risk index method (index method) respectively, and the results were analyzed and compared. Results: Through the occupational health field investigation, the noise exposure level of the enterprise's main workstations was between 80.3 and 94.8 dB (A) , among which the noise of the posts of shaking-sand, cleaning and modeling was greater than 85 dB (A) ; The noise risk of each position was evaluated by the three methods, and the adjustment risk level was between 2 and 5 assessed using the guideline method, between 2 and 3 assessed using the index method, and 5 evaluated using the ICMM model. Conclusion: Each of the three risk assessment methods has its own advantages and disadvantages. The ICMM model has a large difference in value assignment, and values in the results are larger than expected. The evaluation results of the guideline method and the index method are consistent in some positions, there is certain subjectivity in the evaluation using the index method, and the guideline method is more objective.
Automobiles ; Noise, Occupational/adverse effects* ; Occupational Exposure ; Occupational Health ; Risk Assessment/methods*

Objective: To analyze the literature of related research reports on occupational hearing loss (ONIHL) , study the characteristics of the subject and determine the research hotspots. Methods: In December 2020, PubMed database was searched by bibliometrics for ONIHL published in PubMed database from January 1971 to December 2020. Bicomb 2.03 software was used to extract the subject. The publication year, publication country, source magazine and subject words were summarized and analyzed. Results: A total of 1 473 papers were included in this study, and the number of papers was 66 from 1971 to 1980, and 628 from 2011 to 2020, an increase of nearly 10 times. The top three countries were the United States, China and Germany, with 31.5% (464/1473) , 11.5% (171/1473) and 6.2% (91/1473) ; The cross-sectional study was the most applied type; The top five words for 2011-2020: Mental Illness, polymorphism, cardiovascular disease, high frequency hearing impairment and standards and regulations. Conclusion: Susceptibility Genes, Psychological Disorders, Cardiovascular Diseases and Risk Assessment are hot areas in ONIHL at present. Researchers should focus on major fields and grasp future trends as a whole.
Bibliometrics ; Cardiovascular Diseases ; Cross-Sectional Studies ; Hearing Loss, Noise-Induced ; Humans ; Noise, Occupational/adverse effects* ; Occupational Diseases ; PubMed ; United States

Objective: To learn about the noise exposure and health status of workers and analyze factors that may affect the health outcomes of workers in an auto manufacturing enterprise in Tianjin City. Methods: In September 2020, occupational hygiene survey, noise exposure level detection and occupational health examination data collection were carried out in an auto parts manufacturing enterprise. Chi square test and unconditional logistic regression analysis were used to analyze the health effects of noise exposure and hearing loss of 361 noise exposure workers. Results: The rates of over-standard noise exposure, hearing loss and hypertension were 69.39% (34/49) , 33.24% (120/361) and 11.36% (41/361) , respectively. There were upward trends on age and noise-working years for hearing loss and hypertension rates (χ(2)=-5.95, -6.16, -2.81, -2.74, P<0.05) . Unconditional logistic regression analysis showed that age>35 years old, noise exposure length of service >10 years and noise L(EX, 8 h)>85 dB (A) were risk factors for hearing loss (OR=3.57, 95%CI: 1.09, 11.75; OR=4.05, 95%CI: 1.97, 8.25; OR=1.75, 95%CI: 1.00, 3.05; P=0.036, 0.001, 0.047) . Conclusion: This company has a high rate of job noise exceeding the standard, and noise-exposed workers have more serious hearing loss. Age, noise exposure and high noise exposure are risk factors for hearing loss.
Adult ; Automobiles ; Deafness ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Hypertension/complications* ; Noise, Occupational/adverse effects* ; Occupational Diseases/complications* ; Occupational Exposure/analysis*