[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 hazard characteristics in automobile sand casting industry / 公共卫生与预防医学

Objective To study the characteristics of noise hazards in automobile sand casting industry and understand the impact of noise on the health of automobile foundry workers, and to provide scientific data support for the control of noise hazards. Methods An automobile sand casting enterprise was selected as the research object. The post noise intensity test results from 2010 to 2019, the noise spectrum test results of each post in 2019, and the prevalence of occupational noise deafness in the 10 years from 2010 to 2019 were analyzed and sorted out. Using chi-square test and t-test the noise hazard characteristics and noise intensity changes were statistically analyzed. Results 1. The noise LEX.8h exceeding standard rate of foundry enterprises in the 10 years from 2010 to 2019 was not statistically significant（χ2=6.76, P=0.66), and the mean value of noise LEX.8h fluctuated horizontally in the 10 years, which was basically stable between 80 - 90 dB (A). 2. The mean value of noise intensity of sand falling, sand preparation, cleaning and shot blasting in the first five years was significantly different compared to that in the last five years. There was no statistically significant difference in other posts. 3. Among all posts in the foundry sand casting industry, the noise spectrum of core-making and cleaning posts was mainly medium and high frequency, while the noise spectrum of other posts was mainly medium and low frequency. 4, Cases of occupational noise deafness were mainly concentrated in cleaning and polishing workers, melting chemical workers, inspectors and other types of workers. Conclusions The noise hazards in the automobile foundry sand casting industry are mainly concentrated on the posts of molding, and sand falling, and the noise intensity and the over standard rate remain high in the past 10 years. The noise of each post is mainly medium and low frequency, and the noise of a few individual posts is mainly medium and high frequency. In recent years, due to the automatic renewal of equipment, the noise intensity of some posts such as sand dropping, sand mixing, cleaning and shot blasting has decreased, but the overall noise exceeding standard rate has basically not changed, and the noise hazard is still serious. The noise hazard of foundry sand casting enterprises is difficult to be controlled, and the risk of hearing loss of foundry workers is still high.

Comparison of the application of different version of diagnostic criteria for occupational noise-induced deafness / 中国职业医学

@# Objective - （ ） To explore the influence on the diagnosis of occupational noise induced deafness ONID using three ， Methods versions of diagnostic criteria in 2002 2007 and 2014. A total of 1 766 workers who asked for ONID diagnosis were selected as the research subjects using judgment sampling method. The results of pure tone audiometry were collected. GBZ 49-2002Diagnostic Criteria of Occupational Noise-inducedHearing Loss（ The ONID was diagnosed using hereinafter referred to as GBZ 49-2002），GBZ 49-2007Diagnostic Criteria of Occupational Noise-induced Deafness（ GBZ 49-2007） hereinafter referred to as GBZ 49-2014 Diagnostic of Occupational Noise-induced Deafness（ GBZ 49-2014）， and hereinafter referred to as and the Results - - ， - diagnostic results were compared. Compared with GBZ 49 2002 and GBZ 49 2007 diagnosis with GBZ 49 2014 had （ vs ， vs ， P ）， （ vs ， a higher rate of ONID 57.9% 66.0% 44.8% 66.0% both <0.01 and had a higher rate of mild ONID 47.3% 54.6% vs ， P ） - - 36.0% 54.6% both <0.01 . The diagnostic rate for ONID using GBZ 492014 was higher than those using GBZ 49 2002 and - （ P ）Conclusion - GBZ 49 2007 in each age groups all <0.01 . GBZ 49 2014 improved the diagnostic rate of ONID compared - - with GBZ 49 2002 and GBZ 49 2007. The reason is related to the inclusion of 4 000 Hz hearing threshold with a weight of 0.1 - as the diagnostic hearing threshold and the use of a new age and gender correction method in GBZ 49 2014.

[Analysis of hearing surveillance of noise-exposed workers in Zhuzhou city].

Objective: To understand the hearing loss status of workers exposed to noise, and provide a scientific basis for formulating effective prevention and control strategies. Methods: From Januaryl to October 31 , 2018, through the occupational hazard declaration and record management system of the workplace and the health checkup system , the basic information and physical examination information of 7806 noise-exposed workers in 136 companies in Zhuzhou City in 2018 and the related information about the industry, type, and scale of the enterprises were collected. The χ(2) test was used to analyze the occupational health monitoring data of the noise-exposed workers. Results: The average age of 7806 workers in Zhuzhou was(36. 1±9. 3) years, and the working age was 7. 0(3. 0, 11. 0) years. And 1 270 workers with noise induced hearing loss(NIHL) were detected, including 51 suspected occupational noise deafness. The detection rates of NIHL and the suspected occupational noise deafness were 16. 27% , 0. 65% , respectively. The detection rate of noise was 0.01% in 1deaf person. It showed that the male had higher morbidity than the female (P<0. 05) and the workers with longer exposure time had a higher morbidity (P<0. 05) . There was a statistically significant difference in the detection rate of NIHL and suspected occupational noise deafness between workers of different types of work (P<0. 05 ) . It was noted that the morbidity varied in different enterprises, industry types and terms of scales (P<0. 05 ) . Non- metal ore mining and dressing industry workers had higher NIHL detection rate (33. 33%, 14/42) and small companies workers had higher NIHL detection rate(19. 32%, 296/1532) . There was a statistically significant difference in the detection rate of suspected occupational noise deafness between workers of different economic types of enterprises. There was a high detection rate of suspected occupational noise deafness among workers in private enterprises(1. 29%, 36/2782) . Conclusion: The noise operation in Zhuzhou is seriously endangered.Occupational health protection measures for non-metallic mining and dressing industries, small and private enterprises should be strengthened.Occupational health law enforcement efforts should be strengthened to protect workers' health.

[Study the impacts of diagnosis on occupational noise-induced deafness after bring into the different high frequency hearing threshold weighted value].

Objective: Study of the results and the degree on occupational noise-induced deafness in-to the different high frequency hearing threshold weighted value, in order to provide theoretical basis for the re-vision of diagnostic criteria on occupational noise-induced deafness. Methods: A retrospective study was con-ducted to investigate the cases on the diagnosis of occupational noise-induced deafness in Guangdong province hospital for occupational disease prevention and treatment from January 2016 to January 2017. Based on the re-sults of the 3 hearing test for each test interval greater than 3 days in the hospital, the best threshold of each frequency was obtained, and based on the diagnostic criteria of occupational noise deafness in 2007 edition, Chi square test, t test and variance analysis were used to measure SPSS21.0 data, their differences are tested among the means of speech frequency and the high frequency weighted value into different age group, noise ex-posure group, and diagnostic classification between different dimensions. Results: 1. There were totally 168 cases in accordance with the study plan, male 154 cases, female 14 cases, the average age was 41.18 ±6.07 years old. 2. The diagnosis rate was increased into the weighted value of different high frequency than the mean value of pure speech frequency, the weighted 4 kHz frequency increased by 13.69% (χ(2)=9.880, P=0.002) , 6 kHz increased by 15.47% (χ(2)=9.985, P=0.002) and 4 kHz+6 kHz increased by15.47% (χ(2)=9.985, P=0.002) , the difference was statistically significant. The diagnostic rate of different high threshold had no obvious differ-ence between the genders. 3. The age groups were divided into less than or equal to 40years old group (A group) and 40-50 years old group (group B) , there were higher the diagnostic rate between high frequency weighted 4 kHz (A group χ(2)=3.380, P=0.050; B group χ(2)=4.054, P=0.032) , weighted 6 kHz (A group χ(2)=6.362, P=0.012; B group χ(2)=4.054, P=0.032) , high frequency weighted 4 kHz+6 kHz (A group χ(2)=6.362, P=0.012; B group χ(2)=4.054, P=0.032) than those of speech frequency average value in the same group on oc-cupational noise-induced deafness diagnosis rate, the difference was statistically significant. There was no sig-nificant difference between age groups (χ(2)=2.265, P=0.944) . 4. The better ear's mean value of pure speech fre-quency and the weighted values into different high frequency of working years on each group were compared, working years more than 10 years group was significantly higher than that of average thresholds of each frequen-cy band in 3-5 group (F=2.271, P=0.001) , 6-10 group (F=1.563, P=0.046) , the difference was statistically significant. The different high frequency weighted values were higher than those of the mean value of pure speech frequency, and the high frequency weighted 4 kHz+6 kHz had the highest frequency difference, with an average increase of 2.83 dB. 5. The diagnostic rate into weighted different high frequency was higher in the mild, moderate and severe grades than in the pure speech frequency. In the comparison of diagnosis for mild occupational noise-induced deafness, in addition to the weighted 3 kHz high frequency (χ(2)=3.117, P=0.077) had no significant difference, the weighted 4 kHz (χ(2)=10.835, P=0.001) , 6 kHz (χ(2)=9.985, P=0.002) , 3 kHz+4 kHz (χ(2)=6.315, P=0.012) , 3 kHz+6 kHz (χ(2)=6.315, P=0.012) , 4 kHz+6 kHz (χ(2)=9.985, P=0.002) , 3 kHz+4 kHz+6 kHz (χ(2)=7.667, P=0.002) were significantly higher than the diagnosis rate of the mean value of pure speech frequency. There was no significant difference between the two groups in the moderate and se-vere grades (P>0.05) . Conclusion: Bring into different high frequency hearing threshold weighted value in-creases the diagnostic rate of occupational noise-induced deafness, the weighted 4 kHz, 6 kHz and 4 kHz+ 6 kHz high frequency value affects the result greatly, and the weighted 4 kHz+6 kHz high frequency hearing threshold value is maximum the effect on occupational noise-induced deafness diagnosis.

Study the impacts of diagnosis on occupational noise-induced deafness after bring into the different high frequency hearing threshold weighted value / 中华劳动卫生职业病杂志

Objective@#Study of the results and the degree on occupational noise-induced deafness in-to the different high frequency hearing threshold weighted value, in order to provide theoretical basis for the re-vision of diagnostic criteria on occupational noise-induced deafness.@*Methods@#A retrospective study was con-ducted to investigate the cases on the diagnosis of occupational noise-induced deafness in Guangdong province hospital for occupational disease prevention and treatment from January 2016 to January 2017. Based on the re-sults of the 3 hearing test for each test interval greater than 3 days in the hospital, the best threshold of each frequency was obtained, and based on the diagnostic criteria of occupational noise deafness in 2007 edition, Chi square test, t test and variance analysis were used to measure SPSS21.0 data, their differences are tested among the means of speech frequency and the high frequency weighted value into different age group, noise ex-posure group, and diagnostic classification between different dimensions.@*Results@#1. There were totally 168 cases in accordance with the study plan, male 154 cases, female 14 cases, the average age was 41.18 ±6.07 years old. 2. The diagnosis rate was increased into the weighted value of different high frequency than the mean value of pure speech frequency, the weighted 4 kHz frequency increased by 13.69% (χ2=9.880, P=0.002) , 6 kHz increased by 15.47% (χ2=9.985, P=0.002) and 4 kHz+6 kHz increased by15.47% (χ2=9.985, P=0.002) , the difference was statistically significant. The diagnostic rate of different high threshold had no obvious differ-ence between the genders. 3. The age groups were divided into less than or equal to 40years old group (A group) and 40-50 years old group (group B) , there were higher the diagnostic rate between high frequency weighted 4 kHz (A group χ2=3.380, P=0.050; B group χ2=4.054, P=0.032) , weighted 6 kHz (A group χ2=6.362, P=0.012; B group χ2=4.054, P=0.032) , high frequency weighted 4 kHz+6 kHz (A group χ2=6.362, P=0.012; B group χ2=4.054, P=0.032) than those of speech frequency average value in the same group on oc-cupational noise-induced deafness diagnosis rate, the difference was statistically significant. There was no sig-nificant difference between age groups (χ2=2.265, P=0.944) . 4. The better ear's mean value of pure speech fre-quency and the weighted values into different high frequency of working years on each group were compared, working years more than 10 years group was significantly higher than that of average thresholds of each frequen-cy band in 3-5 group (F=2.271, P=0.001) , 6-10 group (F=1.563, P=0.046) , the difference was statistically significant. The different high frequency weighted values were higher than those of the mean value of pure speech frequency, and the high frequency weighted 4 kHz+6 kHz had the highest frequency difference, with an average increase of 2.83 dB. 5. The diagnostic rate into weighted different high frequency was higher in the mild, moderate and severe grades than in the pure speech frequency. In the comparison of diagnosis for mild occupational noise-induced deafness, in addition to the weighted 3 kHz high frequency (χ2=3.117, P=0.077) had no significant difference, the weighted 4 kHz (χ2=10.835, P=0.001) , 6 kHz (χ2=9.985, P=0.002) , 3 kHz+4 kHz (χ2=6.315, P=0.012) , 3 kHz+6 kHz (χ2=6.315, P=0.012) , 4 kHz+6 kHz (χ2=9.985, P=0.002) , 3 kHz+4 kHz+6 kHz (χ2=7.667, P=0.002) were significantly higher than the diagnosis rate of the mean value of pure speech frequency. There was no significant difference between the two groups in the moderate and se-vere grades (P>0.05) .@*Conclusion@#Bring into different high frequency hearing threshold weighted value in-creases the diagnostic rate of occupational noise-induced deafness, the weighted 4 kHz, 6 kHz and 4 kHz+ 6 kHz high frequency value affects the result greatly, and the weighted 4 kHz+6 kHz high frequency hearing threshold value is maximum the effect on occupational noise-induced deafness diagnosis.