[Analysis on the quality control of suspected occupational disease from the characteristics of applicants diagnosed with noise deafness].

Objective: To analyze the audiology and occupational health data of applicants diagnosed of occupational noise deafness, and to explore the influencing factors in the diagnosis of suspected occupational noise deafness. Methods: In May 2022, the information of patients diagnosed with occupational noise deafness in Peking University Third Hospital from January 2018 to December 2021 was collected, and the occupational health data of their working environment, clinical audiological examination results and diagnosis basis of occupational noise deafness were collected and analyzed. Multi-factor unconditional logistic regression analysis was used to analyze independent risk factors for the diagnosis of occupational noise deafness. Results: A total of 129 subjects were included, all of which were suspected cases of occupational noise deafness found in various occupational health examination institutions. Eight cases (6.20%) were diagnosed as occupational noise deafness, and 121 cases (93.80%) were non-occupational noise deafness. After hearing examination, only 27.27% (24/88) of the patients' audiological changes were consistent with the starting point of occupational noise deafness diagnosis. Further analysis of the noise intensity in the workplace showed that 16 patients were identified as non-occupational noise deafness because the noise intensity of the working environment was less than 85 dB. Logistic regression analysis showed that the working hours were more than 8 hours (OR=9.274, 95%CI: 1.388-61.950, P=0.022) and the noise intensity of the working environment (OR=1.189, 95%CI: 1.059-1.334, P=0.003) were independent risk factors for the diagnosis of occupational noise deafness. Conclusion: The exclusion rate of suspected occupational noise deafness found in occupational health examination is higher after adequate rest. The test results of working environment noise intensity provided by the employer can help to determine occupational noise deafness.

[Analysis of noise reduction measures in a noise workshop handover control room].

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.

[Bibliometric and bioinformatics analysis of genetic literature on susceptibility to noise induced hearing loss].

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.

[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.

Presenteeism and noise perception at work: a cross-sectional study using association analysis

ABSTRACT BACKGROUND: Presenteeism refers to the presence of a worker at work with reduced performance due to illness, and it is a common public health problem. Exposure to noise during production processes brings risk to workers' health. OBJECTIVE: To analyze the health profile of workers in the automotive industry and identify the association between noise perception and presenteeism among workers in the Brazilian automotive industry. DESIGN AND SETTING: This was a cross-sectional study utilizing a case study design analyzing the automotive industry in the interior of São Paulo state, Brazil. METHODS: This study included 306 workers using the Presenteeism Work Limitations Questionnaire protocol. Multiple logistic regression was used for data analysis. RESULTS: Male workers with reports of headache, tension, and limited well-being at work, having perceived that noise exposure interferes with productivity, showed a positive association with the occurrence of presenteeism. Physical demand had the highest score in terms of interfering with the presenteeism index. CONCLUSION: Workers' perceptions of noise were associated with presenteeism.

Analysis of noise reduction measures in a noise workshop handover control room / 中华劳动卫生职业病杂志

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.

Research on early warning model of the hearing loss of workers exposed to noise / 中华劳动卫生职业病杂志

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.

Bibliometric and bioinformatics analysis of genetic literature on susceptibility to noise induced hearing loss / 中华劳动卫生职业病杂志

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.

[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.

[A case-control study of occupational noise exposure induced high-frequency hearing loss and the risk of hypertension].

Objective: To investigate the relationship between high frequency hearing loss caused by occupational noise and the risk of hypertension. Methods: In March 2020, a case-control study was conducted. All noise exposed workers who participated in occupational health examination in Wuxi City in 2019 were selected as the study subjects (95432 cases in total) . The hypertension group was defined as the case group, and the normotensive group was defined as the control group. According to the hearing threshold, they were divided into the non high frequency hearing loss group (<40 dB) and the high frequency hearing loss group (≥ 40 dB) . Univariate statistical method and binary logistic regression were used to evaluate the relationship between high-frequency hearing loss and hypertension risk. Stratified analysis was used to compare the risk of hypertension among workers with high-frequency hearing loss of different ages and length of service. Results: There were significant differences in gender, age, length of service, enterprise scale, economic type and high-frequency hearing loss between control group and hypertension group (P<0.05) . Binary logistic regression analysis showed that after adjusting for gender, age, length of service, enterprise scale and economic type, the risk of hypertension in the high-frequency hearing loss group was still increased (OR=1.062, 95%CI: 1.007~1.121, P=0.027) . The risk of hypertension in high-frequency hearing loss patients was higher than that in non high-frequency hearing loss patients in 20-39 years old and 40-59 years old age groups (OR=1.536, 95%CI: 1.353~1.743; OR=1.179, 95%CI: 1.111~1.250; P<0.05) . The risk of hypertension in high-frequency hearing loss patients in <5years, 5-9years, 10-14 years, 15-19 years and ≥20 years working age groups were higher than that in non high-frequency hearing loss groups (OR=1.926, 95%CI=1.007-1.121; OR=1.635, 95%CI=1.478-1.810; OR=1.312, 95%CI=1.167-1.474; OR=1.445, 95%CI=1.238-1.686; OR=1.235, 95%CI=1.043-1.463; P<0.05) . Conclusion: There is a certain relationship between high-frequency hearing loss caused by occupational noise and the risk of hypertension, and the risk of hypertension is different among high-frequency hearing loss patients of different ages and working years.

[Health hazards and hearing loss risk assessment of workers exposed to noise in an automobile manufacturing enterprise].

Objective: To investigate the current situation of occupational exposure to noise among noise workers in an automobile manufacturing enterprise in Tianjin, understand the impact of noise on workers＇ nervous system and hearing, and assess the risk of hearing loss among noise workers. Methods: In May 2021, 3516 workers in an automobile manufacturing enterprise were investigated by using a self-made questionnaire＂Noise Workers Questionnaire＂ and cluster sampling method. The occupational noise hygiene survey and occupational hazards detection were carried out in their workplaces. They were divided into noise exposure group and non-noise exposure group according to whether they were exposed to noise or not. The general characteristics, hearing and nervous system symptoms of the two groups of workers were compared, and the risk of hearing loss was assessed. Results: There were 758 workers in the noise exposure group, aged (26±5) years old, with a working age of 3.0 (2.0, 6.0) years exposed to noise. 2758 workers in the non-noise exposure group, aged (25±6) years old, with a working age of 2.0 (1.0, 4.0) years. There were statistically significant differences in the distribution of workers＇education level, working age and memory loss between the two groups (χ(2)=37.98, 38.70, 5.20, P<0.05). The workers in the noise exposure group showed a decreasing trend of insomnia, dreaminess, sweating and fatigue with the increase of working age (χ(2trend)=6.16, 7.99, P<0.05). The risk classification of binaural high-frequency hearing loss for workers in all noise positions until the age of 50 and 60 was negligible, the risk of occupational noise deafness was low for workers in stamping and welding noise positions until the age of 60. Conclusion: The occupational noise exposed to automobile manufacturing workers may cause certain harm to their nervous and auditory systems. Noise protection measures should be taken to reduce the risk of hearing loss and occupational noise deafness.

[Noise exposure and its impact on health in an auto parts manufacturing enterprise].

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.

[Application of three risk assessment methods to noise risk assessment in an automobile foundry enterprise].

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.

[Literature analysis of hot topics on occupational noise-induced hearing loss].

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.

[Association between occupational noise exposure and the risk of cardiovascular diseases].

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.

Noise exposure and its impact on health in an auto parts manufacturing enterprise / 中华劳动卫生职业病杂志

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.

Research progress on the health effects of occupational noise exposure on cardiovascular system of workers / 中国职业医学

@#Noise is a common occupational hazardous factor in the workplace. In addition to the specific damage to the auditory ， system of workers it can also harm the cardiovascular system and cause a serious disease burden. The mechanism of ， occupational noise on the cardiovascular system of workers is mainly oxidative stress inflammation and vascular endothelial ， - - - damage. As a stressor noise mainly leads to the changes of sympathoadrenal medullary system and hypothalamic pituitary ， ， ， - ， adrenal axis. The substances that play an important role include catecholamines cortisol angiotensin Ⅱ endothelin 1 - endothelial nitric oxide synthase and interleukin 6. The population epidemiological studies have shown that occupational noise ， exposure can lead to elevated blood pressure abnormal electrocardiogram and elevated blood lipids in workers. The influencing （ ， ， ） factors include noise characteristics intensity cumulative noise exposure and frequency and noise combined with other （ ， ， ， - ， occupational hazards such as high temperature welding fumes organic solvents hand transmitted vibration and work ） ， ， ， shifts . However due to the influence of research conditions experimental design and other factors some research conclusions still have limitations. More prospective and comprehensive studies are needed to verify the relevant conclusions in the future.

Changes of renin-angiotensin-aldosterone system in workers exposed to noise / 中国职业医学

@#Objective - （ ）- （ ） To observe the effects of renin angiotensin Ang aldosterone system RAAS in workers exposed to Methods - - occupational noise. Forty five workers with suspected occupational noise induced deafness were selected as noise ， ， exposure group using convenient sampling method. According to their tinnitus symptom noise exposure intensity and work age - ， ， they were divided into no tinnitus and tinnitus subgroups <90 dB and ≥90 dB subgroups work years <10 years and ≥10 years subgroups. Another 45 workers with no occupational noise exposure history were selected as control group. The levels of plasma （ ）， ， ， renin activity PRA AngⅠ AngⅡ and aldosterone of the two groups were detected and the aldosterone to renin activity Results ratio was calculated. The diastolic blood pressure of the noise exposure group was higher than that of the control group ［（ ）vs（ ） ，P ］ ， 80±7 76±8 mmHg <0.05 . However there was no significant difference in systolic blood pressure between the two （P ） （ ： groups >0.05 . The level of plasma AngⅡ in the noise exposure group was higher than that in the control group median vs ，P ） （ P ） 100.98 65.43 μg/L <0.05 . There was no statistical significance in other indexes between the two groups all >0.05 . The （ ： plasma AngⅡ level in < 90 dB subgroup in the noise exposure group was higher than that of the control group median 123.16 vs ，P ） 65.43 μg/L <0.05 . There was no statistical significance in other indexes among the two subgroups of tinnitus symptom or （ P ） work age in the noise exposure group and the control group all >0.05 . There were no significant differences in the abnormal ， （ P ） rates of PRA AngⅡ and aldosterone in plasma between the noise exposure group and the control group all >0.05 . Conclusion Occupational noise exposure may affect RAAS and lead to increased plasma AngⅡ levels in the workers. - Tinnitus and work age may not affect RAAS in occupational noise exposure workers.

Changes of renin-angiotensin-aldosterone system in workers exposed to noise / 中国职业医学

@#Objective - （ ）- （ ） To observe the effects of renin angiotensin Ang aldosterone system RAAS in workers exposed to Methods - - occupational noise. Forty five workers with suspected occupational noise induced deafness were selected as noise ， ， exposure group using convenient sampling method. According to their tinnitus symptom noise exposure intensity and work age - ， ， they were divided into no tinnitus and tinnitus subgroups <90 dB and ≥90 dB subgroups work years <10 years and ≥10 years subgroups. Another 45 workers with no occupational noise exposure history were selected as control group. The levels of plasma （ ）， ， ， renin activity PRA AngⅠ AngⅡ and aldosterone of the two groups were detected and the aldosterone to renin activity Results ratio was calculated. The diastolic blood pressure of the noise exposure group was higher than that of the control group ［（ ）vs（ ） ，P ］ ， 80±7 76±8 mmHg <0.05 . However there was no significant difference in systolic blood pressure between the two （P ） （ ： groups >0.05 . The level of plasma AngⅡ in the noise exposure group was higher than that in the control group median vs ，P ） （ P ） 100.98 65.43 μg/L <0.05 . There was no statistical significance in other indexes between the two groups all >0.05 . The （ ： plasma AngⅡ level in < 90 dB subgroup in the noise exposure group was higher than that of the control group median 123.16 vs ，P ） 65.43 μg/L <0.05 . There was no statistical significance in other indexes among the two subgroups of tinnitus symptom or （ P ） work age in the noise exposure group and the control group all >0.05 . There were no significant differences in the abnormal ， （ P ） rates of PRA AngⅡ and aldosterone in plasma between the noise exposure group and the control group all >0.05 . Conclusion Occupational noise exposure may affect RAAS and lead to increased plasma AngⅡ levels in the workers. - Tinnitus and work age may not affect RAAS in occupational noise exposure workers.

Literature analysis of hot topics on occupational noise-induced hearing loss / 中华劳动卫生职业病杂志

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.