Investigation of noise pollution in Ground Safety section of Mehrabad Airport and its relation with employees hearing loss
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Noise-induced hearing loss
Aircraft noise
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The objective of this study was to assess the association of self-reported noise exposure and audiograms processed with ten algorithms proposed to quantify noise-induced hearing loss using receiver operating characteristic (ROC) curves.Participants were placed into groups based on self-reported noise exposure. Self-reported noise exposure served as a predictor for noise-induced hearing loss (NIHL). Audiograms were analysed with ten algorithms: The Guidelines, Brewster's Rules, two versions of military Noise-induced Hearing Loss, the Bulge Depth, the age-adjusted 8 kHz threshold and four versions of a new algorithm called the Adjusted Notch Depth (AND). The area under the ROC curves were calculated for each algorithm.Data were collected from three cycles of the National Health and Nutrition Examination Survey.Only one version the AND significantly identified those with self-reported noise exposure with an area under the curve of 0.562.The association between the AND and self-reported noise exposure was marginally better than the previous algorithms in identifying those with self-reported noise exposure. These findings do not support using puretone thresholds for identifying those with NIHL in a cross-sectional research study without stratifying the participants. More research is needed to determine how the AND can be applied to stratified designs.
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Noise-induced hearing loss
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Nonoccupational noise exposure increasingly has become an issue in society as a possible cause of noise-induced hearing loss. Leisure activities such as rock concerts, snowmobiling and auto racing have been shown to produce dangerous levels of noise exposure. Noise-induced hearing loss also has become problematic in the health club setting. A study of the noise levels measured during 125 aerobics classes revealed that club noise levels often exceeded those recommended for occupational noise exposure. Average noise levels during aerobics classes ranged from 78 to 106 dB(A), with 79% of readings reaching 90 dB(A) or more for 60 minutes of class time. Instructors reported that, after class, they received subjective complaints of fluctuating hearing loss and tinnitus from class members 50% of the time. Education of participants and instructors should be encouraged, to increase their awareness that loud noise levels can cause permanent hearing loss and to prevent the occurrence of such loss.
Noise-induced hearing loss
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Industrial noise
Noise-induced hearing loss
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Changes in the pervasiveness of community annoyance associated with a series of major changes in aircraft noise exposure in the vicinity of an airport with appreciable air carrier traffic were assessed. Repeated rounds of interviews at intervals of several weeks were conducted in four neighborhoods near the airport before and after the changes in exposure. Attempts were made, both in person and by telephone, to administer a brief and direct questionnaire to adult residents of all affected households in each neighborhood while concurrent long term noise exposure measurements were being made. Findings include substantial immediate effects of exposure changes, while suggesting the time course of adaptation to aircraft noise exposure.
Annoyance
Aircraft noise
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Powerful mining systems typically generate high-level noise that can damage the hearing ability of miners. Engineering noise controls are the most desirable and effective control for overexposure to noise. However, the effects of these noise controls on the actual hearing status of workers are not easily measured. A tool that can provide guidance in assigning workers to jobs based on the noise levels to which they will be exposed is highly desirable. Therefore, the Pittsburgh Mining Research Division (PMRD) of the U.S. National Institute for Occupational Safety and Health (NIOSH) developed a tool to estimate in a systematic way the hearing loss due to occupational noise exposure and to evaluate the effectiveness of developed engineering controls. This computer program is based on the ISO 1999 standard and can be used to estimate the loss of hearing ability caused by occupational noise exposures. In this paper, the functionalities of this software are discussed and several case studies related to mining machinery are presented to demonstrate the functionalities of this software.
Noise-induced hearing loss
Industrial noise
Mining Industry
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This studies aims at identifying work situations, in which employees be affected by noise and improvement have to make to control the noise and to reduce the exposure to noise in the workplace so it will protect from the hearing loss. Due to noise exposure in the industry noise it can create physical and psychological stress, communication and concentration problem in the workplace. Over exposure to noise lead to Noise Induced Hearing Loss (NIHL) and is one of the occupational health disease (Daniel Autenrieth). A main auditory effect is Acoustic Trauma, Tinnitus, Temporary hearing loss, Permanent Hearing loss. Variety of factors has been considered as potential contributors to increasing the risk of Threshold shift. Exposure to noise constitutes a health risk. Evaluate the personal noise level monitoring at glass industry and to reduce the exposure level in that industry. To take measurement with the noise dosimeter is to evaluate the average exposure of noise during a normal shift (8hrs work shift). Measuring worker’s exposures to noise is an important part of Noise Reduction Program.
Noise-induced hearing loss
Industrial noise
Auditory fatigue
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To investigate the screening methods for identifying the populations susceptible and resistant to noise-induced hearing loss (NIHL) and to provide a reference for future research.Workers who were exposed to 75 ∼ 120 dB noise in enterprises were included in the study. Field investigation of occupational health was conducted; workers' basic information and data on hearing threshold levels were collected. Paired chi-square test was used to compare each two of three screening methods, which were used at home and abroad to identify noise-susceptible and noise-sensitive populations, in terms of noise exposure level, general information, and noise-induced hearing threshold shift.There were no significant differences in the noise exposure level, basic information, and left and right ears' hearing threshold levels of noise-susceptible and noise-sensitive populations between each two of the three screening methods (P > 0.05), according to the paired chi-square test. However, high-frequency hearing threshold had statistically significant difference among the three methods. As a whole, methods B and C were superior to method A.The workers in China are younger than before, with more awareness of self-protection, and individual protection is enhanced in them. Currently, method B is more suitable for screening out the population susceptible to NIHL in China.
Noise-induced hearing loss
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Aircraft noise
Noise effects
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Aircraft noise
Emphasis (telecommunications)
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Accurate exposure assessment is essential in environmental epidemiological studies. This is especially true for aircraft noise, which is characterized by a high spatial and temporal variation. We propose a method to assess individual aircraft noise exposure for a case-crossover study investigating the acute effects of aircraft noise on cardiovascular deaths. We identified all cases of cardiovascular death (24,886) occurring near Zürich airport, Switzerland, over fifteen years from the Swiss National Cohort. Outdoor noise exposure at the home address was calculated for the night preceding death and control nights using flight operations information from Zürich airport and noise footprints calculated for major aircraft types and air routes. We estimated three different noise metrics: mean sound pressure level (LAeq), maximum sound pressure level (LAmax), and number above threshold 55 dB (NAT55) for different nighttime windows. Average nighttime aircraft noise levels were 45.2 dB, 64.6 dB, and 18.5 for LAeq, LAmax, and NAT55 respectively. In this paper, we present a method to estimate individual aircraft noise exposure with high spatio-temporal resolution and a flexible choice of exposure events and metrics. This exposure assessment will be used in a case-crossover study investigating the acute effects of noise on health.
Aircraft noise
Crossover study
Sound level meter
Ambient noise level
Environmental Noise
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