Chemical and Noise Exposure Together Increase Risk of Hearing Loss

Hearing thresholds and distortion product otoacoustic emissions were measured for teachers of vocal performance who were gathered for a national conference. Results showed mean audiometric thresholds to be consistent with noise induced hearing loss, more than what would be expected with normal aging. Years of instruction and age were considered as factors in the hearing loss observed. It was concluded that hearing conservation should be initiated with this group to help raise awareness and protect them from hearing loss due to occupational noise exposure.

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Hearing Loss Due to Noise Exposure

Otolaryngologic Clinics of North America ◽

10.1016/s0030-6665(20)32521-4 ◽

1978 ◽

Vol 11 (3) ◽

pp. 723-740 ◽

Cited By ~ 1

Author(s):

Allan J. Heffler

Keyword(s):

Hearing Loss ◽

Noise Exposure

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MicroRNAs in Noise-Induced Hearing Loss and their Regulation by Oxidative Stress and Inflammation

Current Drug Targets ◽

10.2174/1389450121666200615145552 ◽

2020 ◽

Vol 21 (12) ◽

pp. 1216-1224

Author(s):

Fatemeh Forouzanfar ◽

Samira Asgharzade

Keyword(s):

Oxidative Stress ◽

Hearing Loss ◽

Hair Cell ◽

Noise Exposure ◽

Cell Damage ◽

Sensory Cells ◽

Noise Induced Hearing Loss ◽

Irreversible Damage ◽

Open Access Journals

Noise exposure (NE) has been recognized as one of the causes of sensorineural hearing loss (SNHL), which can bring about irreversible damage to sensory hair cells in the cochlea, through the launch of oxidative stress pathways and inflammation. Accordingly, determining the molecular mechanism involved in regulating hair cell apoptosis via NE is essential to prevent hair cell damage. However, the role of microRNAs (miRNAs) in the degeneration of sensory cells of the cochlea during NE has not been so far uncovered. Thus, the main purpose of this study was to demonstrate the regulatory role of miRNAs in the oxidative stress pathway and inflammation induced by NE. In this respect, articles related to noise-induced hearing loss (NIHL), oxidative stress, inflammation, and miRNA from various databases of Directory of Open Access Journals (DOAJ), Google Scholar, PubMed; Library, Information Science & Technology Abstracts (LISTA), and Web of Science were searched and retrieved. The findings revealed that several studies had suggested that up-regulation of miR-1229-5p, miR-451a, 185-5p, 186 and down-regulation of miRNA-96/182/183 and miR-30b were involved in oxidative stress and inflammation which could be used as biomarkers for NIHL. There was also a close relationship between NIHL and miRNAs, but further research is required to prove a causal association between miRNA alterations and NE, and also to determine miRNAs as biomarkers indicating responses to NE.

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Noise Exposure and Hearing Disorders

10.1093/oso/9780190662677.003.0012 ◽

2017 ◽

Author(s):

David C. Byrne ◽

Thais C. Morata

Keyword(s):

Hearing Loss ◽

Noise Exposure ◽

Hearing Protection ◽

Noise Induced Hearing Loss ◽

Hearing Disorders ◽

Industrial Noise ◽

Significant Impairment ◽

Protection Devices ◽

The Impact ◽

Occupational Hearing Loss

Exposure to industrial noise and the resulting effect of occupational hearing loss is a common problem in nearly all industries. This chapter describes industrial noise exposure, its assessment, and hearing disorders that result from overexposure to noise. Beginning with the properties of sound, noise-induced hearing loss and other effects of noise exposure are discussed. The impact of hearing disorders and the influence of other factors on hearing loss are described. Typically, noise-induced hearing loss develops slowly, and usually goes unnoticed until a significant impairment has occurred. Fortunately, occupational hearing loss is nearly always preventable. Therefore, this chapter gives particular attention to recommendations for measures to prevent occupational hearing loss such as engineering noise controls and hearing protection devices.

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Contributions and limitations of using machine learning to predict noise-induced hearing loss

International Archives of Occupational and Environmental Health ◽

10.1007/s00420-020-01648-w ◽

2021 ◽

Author(s):

Feifan Chen ◽

Zuwei Cao ◽

Emad M. Grais ◽

Fei Zhao

Keyword(s):

Machine Learning ◽

Hearing Loss ◽

Roc Curve ◽

Prediction Error ◽

Noise Exposure ◽

Model Construction ◽

Support Vector ◽

Exposure Level ◽

Noise Induced Hearing Loss ◽

Current Review

Abstract Purpose Noise-induced hearing loss (NIHL) is a global issue that impacts people’s life and health. The current review aims to clarify the contributions and limitations of applying machine learning (ML) to predict NIHL by analyzing the performance of different ML techniques and the procedure of model construction. Methods The authors searched PubMed, EMBASE and Scopus on November 26, 2020. Results Eight studies were recruited in the current review following defined inclusion and exclusion criteria. Sample size in the selected studies ranged between 150 and 10,567. The most popular models were artificial neural networks (n = 4), random forests (n = 3) and support vector machines (n = 3). Features mostly correlated with NIHL and used in the models were: age (n = 6), duration of noise exposure (n = 5) and noise exposure level (n = 4). Five included studies used either split-sample validation (n = 3) or ten-fold cross-validation (n = 2). Assessment of accuracy ranged in value from 75.3% to 99% with a low prediction error/root-mean-square error in 3 studies. Only 2 studies measured discrimination risk using the receiver operating characteristic (ROC) curve and/or the area under ROC curve. Conclusion In spite of high accuracy and low prediction error of machine learning models, some improvement can be expected from larger sample sizes, multiple algorithm use, completed reports of model construction and the sufficient evaluation of calibration and discrimination risk.

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IGF-1 Haploinsufficiency Causes Age-Related Chronic Cochlear Inflammation and Increases Noise-Induced Hearing Loss

Cells ◽

10.3390/cells10071686 ◽

2021 ◽

Vol 10 (7) ◽

pp. 1686

Author(s):

Adelaida M. Celaya ◽

Lourdes Rodríguez-de la Rosa ◽

Jose M. Bermúdez-Muñoz ◽

José M. Zubeldia ◽

Carlos Romá-Mateo ◽

...

Keyword(s):

Hearing Loss ◽

Inflammatory Cytokines ◽

Noise Exposure ◽

Sensorineural Deafness ◽

Serum Levels ◽

Genetic Syndromes ◽

Expression Ratio ◽

Postnatal Maturation ◽

Age Related ◽

Underlying Mechanisms

Insulin-like growth factor 1 (IGF-1) deficiency is an ultrarare syndromic human sensorineural deafness. Accordingly, IGF-1 is essential for the postnatal maturation of the cochlea and the correct wiring of hearing in mice. Less severe decreases in human IGF-1 levels have been associated with other hearing loss rare genetic syndromes, as well as with age-related hearing loss (ARHL). However, the underlying mechanisms linking IGF-1 haploinsufficiency with auditory pathology and ARHL have not been studied. Igf1-heterozygous mice express less Igf1 transcription and have 40% lower IGF-1 serum levels than wild-type mice. Along with ageing, IGF-1 levels decreased concomitantly with the increased expression of inflammatory cytokines, Tgfb1 and Il1b, but there was no associated hearing loss. However, noise exposure of these mice caused increased injury to sensory hair cells and irreversible hearing loss. Concomitantly, there was a significant alteration in the expression ratio of pro- and anti-inflammatory cytokines in Igf1+/− mice. Unbalanced inflammation led to the activation of the stress kinase JNK and the failure to activate AKT. Our data show that IGF-1 haploinsufficiency causes a chronic subclinical proinflammatory age-associated state and, consequently, greater susceptibility to stressors. This work provides the molecular bases to further understand hearing disorders linked to IGF-1 deficiency.

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Effect of Phlorofucofuroeckol A and Dieckol Extracted from Ecklonia cava on Noise-induced Hearing Loss in a Mouse Model

Marine Drugs ◽

10.3390/md19080443 ◽

2021 ◽

Vol 19 (8) ◽

pp. 443

Author(s):

Hyunjun Woo ◽

Min-Kyung Kim ◽

Sohyeon Park ◽

Seung-Hee Han ◽

Hyeon-Cheol Shin ◽

...

Keyword(s):

Hearing Loss ◽

Hair Cell ◽

Noise Exposure ◽

Radical Scavenging ◽

Threshold Shift ◽

Ecklonia Cava ◽

Control Group ◽

Noise Induced Hearing Loss ◽

Antioxidant Agents ◽

Brainstem Response

One of the well-known causes of hearing loss is noise. Approximately 31.1% of Americans between the ages of 20 and 69 years (61.1 million people) have high-frequency hearing loss associated with noise exposure. In addition, recurrent noise exposure can accelerate age-related hearing loss. Phlorofucofuroeckol A (PFF-A) and dieckol, polyphenols extracted from the brown alga Ecklonia cava, are potent antioxidant agents. In this study, we investigated the effect of PFF-A and dieckol on the consequences of noise exposure in mice. In 1,1-diphenyl-2-picrylhydrazyl assay, dieckol and PFF-A both showed significant radical-scavenging activity. The mice were exposed to 115 dB SPL of noise one single time for 2 h. Auditory brainstem response(ABR) threshold shifts 4 h after 4 kHz noise exposure in mice that received dieckol were significantly lower than those in the saline with noise group. The high-PFF-A group showed a lower threshold shift at click and 16 kHz 1 day after noise exposure than the control group. The high-PFF-A group also showed higher hair cell survival than in the control at 3 days after exposure in the apical turn. These results suggest that noise-induced hair cell damage in cochlear and the ABR threshold shift can be alleviated by dieckol and PFF-A in the mouse. Derivatives of these compounds may be applied to individuals who are inevitably exposed to noise, contributing to the prevention of noise-induced hearing loss with a low probability of adverse effects.

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Diabetic Retinopathy and Hearing Loss: Results from the Fifth Korean National Health and Nutrition Survey

Journal of Clinical Medicine ◽

10.3390/jcm10112398 ◽

2021 ◽

Vol 10 (11) ◽

pp. 2398

Author(s):

Yong Un Shin ◽

Seung Hun Park ◽

Jae Ho Chung ◽

Seung Hwan Lee ◽

Heeyoon Cho

Keyword(s):

Hearing Loss ◽

Logistic Regression ◽

Diabetic Retinopathy ◽

Old Age ◽

National Health ◽

Noise Exposure ◽

Middle Aged ◽

Nutrition Survey ◽

Aged Group ◽

Health And Nutrition

We investigated the association between the severity of diabetic retinopathy (DR) and hearing loss based on vascular etiology. We used data from the Korean National Health and Nutrition Survey 2010–2012. Adults aged >40 years with diabetes were enrolled. Demographic, socioeconomic, general medical, noise exposure and biochemical data were used. Participants were classified into three groups: diabetes without DR, non-proliferative DR (NPDR), and proliferative DR (PDR); participants were also divided into two groups (middle age (40 ≤ age < 65 years) vs. old age (age ≥ 65 years)). The association between hearing loss and DR was determined using logistic regression analysis. A total of 1045 participants (n = 411, middle-aged group; n = 634, old-age group) were enrolled. Overall, the prevalence of hearing loss was 58.1%, 61.4%, and 85.0% in the no DR, NPDR, and PDR groups, respectively. After adjusting for confounding factors, the logistic regression model showed that there was no significant association between the prevalence of DR and hearing loss in the overall sample. However, the presence of PDR (OR 7.74, 95% CI 2.08–28.82) was significantly associated with hearing loss in the middle-aged group. Middle-aged people with diabetes may have an association between DR severity and hearing loss. The potential role of microvascular diseases in the development of hearing loss, especially in middle-aged patients, could be considered.

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