Objective: Powered surgical instruments use to cut bones and fashion them for joint implant produce noise. Prior studies have not analyzed direct in vivo measurements of multiple procedures and exposure time. This study evaluates actual surgical noise levels exposure to the surgeon and this cumulative exposure that can result in noise-induced hearing loss (NIHL). What is known: Prior studies evaluated short duration noise exposure to surgical equipment in vitro, or in an operating room environment. What this adds: This study evaluated in vivo cumulative measurements over an entire operating day and the associated risks. Methods: Noise exposure to operating room personnel was measured during multiple knee replacement surgeries over three days. Measurements were compared to occupational exposure limits set by the National Institute for Occupational Safety and Health (NIOSH) and the Occupational Safety and Health Administration (OSHA). Results: Surgeons’ noise exposures exceed noise occupational exposure limits. Recorded levels of 104 dBA did occur with levels of 85dBA found from 10-18% of the time. Conclusions: Surgeons performing multiple total knee replacements per day are at risk of NIHL due to noise exposures that exceed National Institute for Occupational Safety and Health recommendations. Surgeons should be included in a hearing loss prevention program. Level of Evidence: Therapeutic Level 1

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Background: Hospitals provide treatment to improve patient health and well-being but the characteristics of the care environment receive little attention. Excessive noise at night has a negative impact on in-patient health through disturbed sleep. To address this hospital staff must measure night-time environmental noise levels. Therefore, an understanding of environmental noise measurement techniques is required. In this review, we aim to 1) provide a technical overview of factors to consider when measuring environmental noise in hospital settings; 2) conduct a rapid review on the equipment and approaches used to objectively measured noise in hospitals and identify methodological limitations. Design: A rapid review of original research articles, from three databases, published since 2008. Studies were included if noise levels were objectively measured in a hospital setting where patients were receiving treatment. Results: 1429 articles were identified with 76 included in the review. There was significant variability in the approaches used to measure environmental noise in hospitals. Only 14.5% of studies contained sufficient information to support replication of the measurement process. Most studies measured noise levels using a sound level meter positioned closed to a patient’s bed area in an intensive care unit. Conclusion: Unwanted environmental noise in hospital setting impacts negatively on patient and staff health and well-being. However, this literature review found that the approaches used to objectively measure noise level in hospital settings have been inconsistent and poorly reported. Recommendations on best-practice methods to measure noise levels in hospital environments are provided.

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Strategic noise maps are typically prepared for large-scale areas, towns and cities. However, some comparatively smaller industries are given less importance during preparation of noise maps. Very few studies have been reported worldwide providing insight on industrial noise mapping, and similar reports from India are negligible. This study provides a noise map of a forging plant and also investigates noise distribution pattern within 2 km of surrounding area. The complete study is evaluated in two types of scenario; in the first scenario all individual noise sources of the plant were considered as point sources whereas in the second scenario complete plant was treated as an area source. Furthermore, a regression graph is generated between the predicted and measured values for both scenarios individually which gives coefficients of determination of 0.4689 and 0.6382. This study reveals that the second scenario provides more precise noise prediction map than the first scenario.

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Introduction: Heavy metals are a major environmental threat in India and there are several health risks associated with it. The aim of this study was to investigate the relationship between the blood levels of lead, cadmium, arsenic, and mercury and a sensoneurial hearing loss in children aged one to ten years. Method: Heavy metal blood levels were determined using inductively coupled plasma mass spectrometry, with appropriate quality control. Results: We found significantly higher blood lead concentration (mg/L; Mean ± SE) in children with a hearing loss (53.2 ± 4.4) compared to healthy controls (38.4 ± 4.7)/P = 0 0.03/. Conclusion: Children’s blood lead levels ≥ 50 mg/L compared to the levels < 10 mg/L were associated with increased probability of hearing loss (OR, 48.8; 95% CI, 41.9–55.6). The differences in the blood levels of cadmium, arsenic, and mercury between the children with a hearing loss and controls were statistically insignificant (P > 0.05).

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Context: Rural residents can be exposed to high levels of agricultural machinery noise and are at risk of hearing loss. Aims: This study aimed to determine audiology service use and rates of hearing loss in a regional area of Australia, using both self-report and audiology testing. Setting and Design: A survey of randomly selected households was undertaken and 6432 participants were interviewed face to face about their health, hearing, and use of audiology services. A total of 1454 participants were randomly selected to undertake standard audiology testing. Material and Methods: Material Hearing was evaluated using conventional audiometry. Statistical Analysis Used: Independent t-tests, cChi-squared tests, and logistic regression were used to examine the association amongbetween hearing loss, use of audiology services, and demographic factors. Results: Hearing issues were present in 12.5% of the survey participants. The rate of hearing loss increased significantly with age. Males were significantly more likely to have hearing loss than females (9.5% vs. 5.2%, pP << 0.01). The majority of people who reported accessing audiology services in the past 12 months were satisfied with the care they received (85.2%), and experienced short waiting times for these services (68.2% waited ≤≤ 7 days). Conclusions: Males had higher rates of hearing issues than females in this rural area. Audiology services in the region were accessible within short waiting times, and clients were satisfied with the service.

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