| Literature DB >> 32129659 |
Nomfundo F Moroe1, Katijah Khoza-Shangase.
Abstract
BACKGROUND: Current evidence from low- and middle-income (LAMI) countries, such as South Africa, indicates that occupational noise-induced hearing loss (ONIHL) continues to be a health and safety challenge for the mining industry. There is also evidence of hearing conservation programmes (HCPs) being implemented with limited success.Entities:
Keywords: Advances; Hearing conservation programmes; Industry; Innovation; Management; Occupational; Policies; Recent
Mesh:
Year: 2020 PMID: 32129659 PMCID: PMC7136823 DOI: 10.4102/sajcd.v67i2.675
Source DB: PubMed Journal: S Afr J Commun Disord ISSN: 0379-8046
FIGURE 1The Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram describing the process of study selection.
Details of study characteristics of each included study.
| Authors and date | Research title | Aim | Recent advance | Country | Contribution |
|---|---|---|---|---|---|
| Davies et al. (2012) | The use of the kurtosis metric in the evaluation of occupational hearing loss in workers in China: Implications for hearing risk assessment | Examine the value of using the statistical metric, kurtosis [β(t)], along with an energy metric to determine the hazard to hearing from high-level industrial noise environments, and the accuracy of the International Organization for Standardization (ISO-1999:1990) model for median noise-induced permanent threshold shift (NIPTS) estimates with actual recent epidemiological data | Metric | China | The kurtosis metric is an important variable in determining the hazards to hearing posed by a high-level industrial noise environment for hearing conservation purposes. The ISO-1999 predictive model does not accurately estimate the degree of median NIPTS incurred to high-level kurtosis industrial noise. |
| Moroe et al. ( | A proposed preliminary model for monitoring hearing conservation programmes in the mining sector in South Africa | Propose the use of a feedback-based noise monitoring model as a tool for monitoring and managing ONIHL in South Africa’s mining sector | South Africa | This model is a basic static feedback model with practical applications such as estimating, monitoring and providing quantitative information to aid miners, mining administrators and policymakers in decision-making around HCPs. Additionally, the model could form part of an early intervention and management strategy for ONIHL in the workplace. The strength of this model, although currently static, is that it encompasses all the pillars of HCPs and takes into account the policies concerned with the management of ONIHL in the mining sector. | |
| Investigations of auditory filters-based excitation patterns for assessment of noise-induced hearing loss | Application of two auditory filters, dual-resonance nonlinear (DRNL) filter and rounded-exponential (ROEX) filters to create two excitation potentials (EPs) – the velocity EP and the loudness EP, respectively. Proposed two noise hazard metrics based on two proposed EPs to evaluate hazardous levels caused by different types of noise | United States | Excitation potentials can reflect the responses of the BM to different types of noise. For Gaussian noise there is a frequency shift between the velocity EP and the loudness EP. Both EPs can be used for the assessment of NIHL. | ||
| Choi et al. ( | Therapeutic effects of orally administrated antioxidant drugs on acute noise-induced hearing loss | Investigate the dose-dependent therapeutic effect of the orally administrated antioxidant drugs (4-hydroxy alpha-phenyl-tert-butylnitrone [4-OHPBN] and N-acetyl-L-cysteine [NAC]) on acute noise-induced hearing loss because oral administration is the most commonly used method of drug administration owing to its convenience, safety and economical efficiency | Pharmacological interventions | Republic of Korea | Orally administered drugs can treat acute noise-induced hearing loss in a dose-dependent manner. This suggests that oral administration was effective in treating acute noise-induced hearing loss as in intraperitoneal administration. |
| Choi and Choi ( | Noise-induced neural degeneration and therapeutic effect of antioxidant drugs | Review structural and functional changes and basic mechanisms induced by noise exposure in the cochlea and the brain and the therapeutic effects of a variety of antioxidant drugs that have been used in our laboratory for the treatment of noise-induced hearing loss | Republic of Korea | These antioxidant drugs were effective in preventing or treating noise-induced hearing loss. In combination with other antioxidants, antioxidant drugs showed a strong synergistic effect. Furthermore, the successful use of antioxidant drugs depends on the optimal timing and the duration of treatment, which are highly related to the time window of free radical formation induced by noise exposure. | |
| Mukherjea et al. ( | The design and screening of drugs to prevent acquired sensorineural hearing loss | Provide insights into current and projected future strategies to prevent sensorineural hearing loss from cisplatin chemotherapy, aminoglycoside antibiotic therapy and noise exposure | United States | Novel delivery systems will provide ways to guide these protective agents to the desired target areas in the inner ear and will circumvent problems with therapeutic interference of anti-tumour and antibiotic agents and will minimise undesired side effects. | |
| Oishi and Schacht ( | Emerging treatments for noise-induced hearing loss | Describe the epidemiology, pathology and pathophysiology of noise-induced hearing loss in experimental animals and human. The underlying molecular mechanisms of damage are then discussed as a basis for therapeutic approaches to ameliorate the loss of auditory function. Finally, studies in military, industrial and recreational settings are evaluated. Literature was searched through using the terms ‘noise-induced hearing loss’ and ‘noise trauma’. | United States | With the current pace of development, oral drugs to protect against NIHL should be available within the next 5–10 years. Positive results from ongoing trials combined with additional laboratory tests might accelerate the time from the bench to clinical treatment. | |
| Santaolalla et al. ( | Inner ear hair cell regeneration: A look from the past to the future | Review research and clinical application of inner near hair cell regeneration | Spain | Taken together, cochlear gene therapy has been successfully used in the treatment of neurosensory hearing loss and other inner ear disorders. The greatest progress will be achieved, in the near future, in the regeneration of hair cells after use of atonal homolog 1 gene delivered by viral vectors and this may become the best clinical treatment method for certain types of hearing loss. | |
| Tieu and Campbell ( | Current pharmacologic otoprotective agents in or approaching clinical trials: How they elucidate mechanisms of noise-induced hearing loss | Review the major classes of otoprotective agents for NIHL that have undergone published peer-reviewed clinical trials, or are currently in or approaching FDA-approved clinical trials | United States | Although no pharmacologic agent is yet approved by the FDA for clinical use to prevent or treat noise-induced hearing loss at this time, it is likely that within the next decade and perhaps within the next few years one or more agents will be available for clinical use. Furthermore, it is expected that through an understanding of the underlying mechanisms and noise-induced hearing loss and otoprotection, even more safe and effective pharmacologic otoprotective agents will be developed. | |
| Zheng and Zuo ( | Cochlear hair cell regeneration after noise-induced hearing loss: Does regeneration follow development? | Summarise recent transcriptome profile analysis of zebrafish lateral lines and chick utricles where spontaneous HC regeneration occurs after HC damage | United States | It is now conceivable that the development of appropriate drugs will enable effective HC regeneration | |
| Aliabadi et al. ( | Prediction of hearing loss among the noise-exposed workers in a steel factory using artificial intelligence approach | Prediction of hearing loss in noisy workplaces is an important aspect of hearing conservation programme. Artificial intelligence, as a new approach, can be used to predict the complex phenomenon such as hearing loss. Using artificial neural networks, this study aimed to present an empirical model for the prediction of the hearing loss threshold amongst noise-exposed workers. | Artificial neural network | Iran | As occupational hearing loss is frequently non-curable, results of accurate prediction can be used by occupational health experts to modify and improve noise exposure conditions. |
| Aliabadi et al. ( | An empirical technique for predicting noise exposure level in the typical embroidery workrooms using artificial neural networks | Present an empirical technique for predicting the noise level in the typical embroidery processes. | Iran | The developed empirical technique can be a helpful tool to analyse the noise pollution in the mentioned process and can enable acoustics and occupational health professionals to apply hearing conservation programmes. | |
| Rehman et al. ( | Predicting noise-induced hearing loss and hearing deterioration index in Malaysian industrial workers using gradient descent with adaptive momentum algorithm | Using age, work-duration and maximum and minimum noise exposure as the main factors involved in the hearing loss. Gradient descent with adaptive momentum (GDAM) algorithm is proposed to predict the NIHL in workers | Malaysia | Hearing Deterioration Index (HDI) is found to be quite high for different sound pressure levels, such as maximum exposure (dB) and average exposure (dB), but is reported normal for minimum exposure | |
| Sabanci et al. ( | Noise source determination by using artificial neural network in a metal workshop | Measurement of noises in the machinery laboratory of Karamanoglu Mehmetbey University Technical Sciences Vocational School | Turkey | With this data set, various types of artificial neural networks have been trained by using different training algorithms. By changing the number of neurons in the hidden layer and hidden layer activation functions, it has been tried to obtain the best structure. With the best structure obtained in the study, the minimum errors in MAE and RMSE were determined as 0.018552 and 0.11744, respectively | |
| Badri ( | Development of neural networks for noise reduction | Describe the development of neural network models for noise reduction. The networks used to enhance the performance of modelling captured signals by reducing the effect of noise | Jordan | Both analytically and experimentally it has been demonstrated that the additive noise improves the network generalisation on the tested patterns and the training trajectory. | |
| Bakay et al. ( | Hidden hearing loss selectively impairs neural adaptation to loud sound environments | Investigate the effect of noise-induced HHL on the ability of neurons in the inferior colliculus (IC) to adapt their responses to repeated switches between relatively quiet and relatively loud sound environments | Audiology assessment measures | United Kingdom | Although noise exposure only impairs threshold adaptation directly, the preserved function of gain adaptation surprisingly aggravates coding deficits for loud environments. These deficits might help to understand why many individuals with seemingly normal hearing struggle to follow a conversation in background noise. |
| Lobarinas et al. ( | Evidence of ‘hidden hearing loss’ following noise exposures that produce robust TTS and ABR wave-I amplitude reductions | Use of a modified startle inhibition paradigm to evaluate whether noise exposures that produce robust TTS and ABR wave-I reduction but not permanent threshold shift (PTS) reduced hearing-in-noise performance. | United States | Hearing-in-noise performance was negatively affected by the noise exposure. However, the effect was observed only at the poorest signal-to-noise ratio and was frequency specific. Although TTS >30 dB 24-h post-noise was a predictor of functional deficits, there was no relationship between the degree of ABR wave-I reduction and the degree of functional impairment. | |
| Plack et al. ( | Perceptual consequences of ‘hidden’ hearing loss | Present evidence that a history of noise exposure is associated with difficulties in speech discrimination and temporal processing, even in the absence of any audiometric loss | United Kingdom | Evidence from human temporal bone studies and auditory brainstem response measures suggests that this form of hidden loss is common in humans and may have perceptual consequences regarding the coding of the temporal aspects of sounds. Hidden hearing loss is potentially a major health issue, and investigations are ongoing to identify the causes and consequences of this troubling condition. | |
| Plack et al. ( | Toward a diagnostic test for hidden hearing loss | Argument that diagnosis of the condition in individual humans is problematic because of test reliability and lack of a gold standard validation measure | United Kingdom | Despite the obstacles, a diagnostic test for hidden hearing loss is a worthwhile goal, with important implications for clinical practice and health surveillance. | |
| McTague et al. ( | Impact of daily noise exposure monitoring on occupational noise exposures in manufacturing workers | Report on an intervention employing the voluntary use of this technology in a worksite setting | Noise monitoring advances | United States | Initial results from this longitudinal study indicate that volunteers find daily noise exposure monitoring to be feasible, and that workers who monitor daily can reduce exposures. The results of subject adherence shed light on the challenges and possibilities of worksite interventions for health and safety. |
| Michael et al. ( | Role of continuous monitoring in a hearing conservation program | Provide evidence that while hearing protective devices (HPDs) can be effective in reducing exposure by 30 dB or more, the protection afforded to an individual is highly variable depending on many factors | United States | For the first time, the occupational hearing conservationist is provided with a quantitative assessment of personal exposure that accounts for the effectiveness of hearing protection across the entire work shift. Besides empowering the employee to better protect himself or herself, these data allow the safety officers to monitor noise exposures daily and intervene after occasional overexposures. With proper intervention and oversight of the programme, a continuous monitoring programme can absolutely prevent occupational hearing loss. | |
| Rabinowitz et al. ( | Effect of daily noise exposure monitoring on annual rates of hearing loss in industrial workers | Report on an analysis of the hearing loss experience of a cohort of industrial workers who are enrolled in a mandatory programme to perform daily noise exposure monitoring inside their hearing protection devices in order to determine whether the users of the devices were experiencing less hearing loss than control workers not enrolled in the mandatory programme | United States | Monitoring daily occupational noise exposure inside hearing protection with ongoing administrative feedback apparently reduces the risk of occupational NIHL in industrial workers. Longer follow-up of these workers will help determine the significance of the intervention effect. Intervention studies for the prevention of NIHL need to include appropriate control groups. | |
| Williams et al. ( | Usability of a daily noise exposure monitoring device for industrial workers | Trial of a new technology for the prevention of noise-induced hearing loss that allows workers to monitor their noise exposure inside of hearing protection daily; we studied the usability of the daily noise exposure monitoring device. | United States | A novel technology that allows workers to record noise exposures inside of hearing protectors daily has been developed. Current users of the device report positive perception about how the device helps them prevent noise-induced hearing loss. However, in its current version, users reported several usability barriers that are associated with stopping use of the device. These barriers to use should be addressed as the technology progresses. | |
| Bayley et al. ( | Wireless headset noise exposure dosimeter | Presentation of systems and methods for measuring noise exposure associated with the use of a wireless headset | United States | ||
| Moroe et al. ( | Occupational noise-induced hearing loss in South African large-scale mines: Exploring hearing conservation programmes as complex interventions embedded in a realist approach | Explore whether HCPs are a complex intervention, fitting the predefined criteria for complex interventions | Conceptual approaches to HCPs | South Africa | The success of HCPs in the mining sector depends on conducting contextually evidence-based evaluations, such as realist reviews, which can provide policymakers with contextual evidence for why certain programmes do or do not work in certain settings. |
| Brereton and Patel ( | Buy quiet as a means of reducing workplace | Argument for purchasing quieter machinery as an effective way to avoid risk from occupational exposure to high noise | Buying Quiet | United Kingdom | Buy quiet has the potential to result in lower workplace noise risk if noise information can be made simpler and more reliable. This may require a departure from the harmonised standards approach and a greater reliance on shared information based on noise risk assessed during normal work |
ABR, auditory brainstem response; BM, basilar membrane; FDA, Food and Drug Administration; GDAM, gradient descent with adaptive momentum; HCP, hearing conservation programme; HDI, hearing deterioration index; HHL, hidden hearing loss; HPD, hearing protection device; IC, inferior colliculus; MAE, mean absolute error; NIHL, noise-induced hearing loss; ONIHL, occupational noise-induced hearing loss; PTS, permanent threshold shift; RMSE, root mean squared error; TTS, temporary threshold shift.