Objective:To investigate the clinical characteristics and treatment outcomes of patients with blast-induced hearing loss（BIHL）. Methods:The clinical features, laboratory parameters, audiometric profiles, and treatment efficacy of patients with blast induced hearing loss and those with idiopathic sudden hearing loss（ISHL） were analyzed using t-tests, Wilcoxon rank-sum tests, and chi-square tests, with a significance level set at P<0.05. Results:A total of 59 patients in the BIHL group and 117 patients in the ISHL group were included in this study. The mean age of the BIHL group was（39.07±14.49） years, comprising 45 males and 14 females. After the blast, 21 patients went to the hospital within the initial 14-day period, and an additional 38 patients seeking admission thereafter. In the BIHL group, 33 patients had unilateral hearing loss with PTA of （50.30±28.85） dB HL, while 26 had bilateral hearing loss with a PTA of（44.54±26.22） dB HL. In comparison, among the ISHL group, 112 patients had unilateral hearing loss with a PTA of（56.28±14.19） dB HL, and 5 had bilateral involvement with a PTA of（56.25±35.14） dB HL. The effective treatment rate within 14 days for the BIHL group was 31.8%, while for the ISHL group, the effective rate within 14 days was 77.0%. Conclusion:Blast-induced hearing loss is caused by exposure to high-intensity noise. The overall treatment effectiveness during hospitalization is lower compared to idiopathic sudden hearing loss, and the treatment window is shorter. Therefore, greater emphasis should be placed on prevention.
Humans ; Male ; Female ; Adult ; Middle Aged ; Young Adult ; Blast Injuries/therapy* ; Treatment Outcome ; Hearing Loss, Sudden/etiology* ; Adolescent ; Hearing Loss, Noise-Induced/diagnosis*

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.
Humans ; Young Adult ; Adult ; Noise, Occupational/adverse effects* ; Hearing Loss, Noise-Induced/etiology* ; Case-Control Studies ; Hearing Loss, High-Frequency ; Occupational Exposure/adverse effects* ; Hypertension/complications* ; Occupational Diseases/complications*

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*

Hearing ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Male ; Manufacturing Industry ; Noise, Occupational/adverse effects* ; Occupational Exposure/adverse effects* ; Surveys and Questionnaires

Automobiles ; Hearing Loss, High-Frequency ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Male ; Noise, Occupational/adverse effects* ; Occupational Diseases/epidemiology* ; Occupational Exposure

Adult ; Candy ; Dust ; Health Surveys ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Male ; Middle Aged ; Noise, Occupational/adverse effects* ; Occupational Diseases ; Occupational Exposure

Adolescent ; Adult ; Child ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Male ; Manufacturing Industry ; Noise, Occupational ; Occupational Exposure ; Surveys and Questionnaires ; Young Adult

Adult ; Automobiles ; Hearing Loss, High-Frequency ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Male ; Noise, Occupational/adverse effects* ; Occupational Diseases ; Occupational Exposure

Occupational noise is one of the most common occupational hazards in the workplace. Long-term exposure to occupational noise could not only lead to the damage of the hearing system, but also may cause a certain impact on the cardiovascular system. Studies have shown that occupational noise exposure was positively associated with cardiovascular diseases, including hypertension, coronary heart disease and myocardial infarction. However, the results of studies on occupational noise exposure and stroke are still controversial. This paper reviews the relationship between occupational noise exposure and hypertension, coronary heart disease, stroke, myocardial infarction by summarizing the epidemiological data of domestic and foreign population in recent years. Our study could provide evidence for the design and implementation of well-designed epidemiological and mechanism studies, and the recognition of the role of occupational noise exposure in the occurrence and development of cardiovascular diseases, so as to better protect workers' health.
Cardiovascular Diseases/etiology* ; Hearing Loss, Noise-Induced ; Humans ; Hypertension/etiology* ; Noise, Occupational/adverse effects* ; Occupational Diseases ; Occupational Exposure/adverse effects*

OBJECTIVETo investigate the association between the single nucleotide polymorphisms (SNPs) of paraoxonase-2 (PON2) gene and the susceptibility to occupational noise-induced deafness among Chinese Han population exposed to high noise levels [>85 dB (A)].

METHODSA case-control study was conducted in Chinese Han population exposed to high noise levels. The subjects were divided into case group (n = 127) and control group (n = 136) according to the Diagnostic criteria of occupational noise-induced deafness (GBZ 49-2007). The case group was composed of 127 workers with a mean binaural high-frequency hearing threshold not less than 40 dB, as measured using an electro-audiometer, while the control group was composed of 136 workers with a mean binaural high-frequency hearing threshold less than 40 dB, as measured using the electro-audiometer, who were on shift in the same position as the cases and matched with them for age, sex, and years of noise exposure. Peripheral venous blood (2 ml) was collected from each subject during physical examination to extract genomic DNA, and genotypes were identified using a TaqMan probe.

RESULTSPON2 genotypes rs7493 CG+GG, rs7785846 CT+TT, rs12026 CG+GG, and rs7786401 GT+TT were the risk factors for occupational noise-induced deafness, and the adjusted odds ratios (95%confidence intervals) were 5.87 (3.11∼11.07), 5.92 (3.10∼11.32), 5.53 (2.93∼10.45), and 5.93 (3.10∼11.34), respectively. In addition, the higher the noise exposure levels, the higher the risk of developing occupational noise-induced deafness among the individuals carrying mutant genotypes.

CONCLUSIONPON2 genotypes rs7493 CG+GG, rs7785846 CT+TT, rs12026 CG+GG, and rs7786401 GT +TT may be associated with the susceptibility to occupational noise-induced deafness among Chinese Han population exposed to high noise levels, and the effects of mutant genotypes and noise exposure levels may be mutually enhanced.

Adult ; Aryldialkylphosphatase ; genetics ; Case-Control Studies ; Female ; Genetic Predisposition to Disease ; Genotype ; Hearing Loss, Noise-Induced ; etiology ; genetics ; Humans ; Male ; Middle Aged ; Noise, Occupational ; adverse effects ; Polymorphism, Single Nucleotide ; Risk Factors