Speech-in-noise screening tests by internet, Part 1: Test evaluation for noise-induced hearing loss identification

2011 ◽  
Vol 50 (11) ◽  
pp. 823-834 ◽  
Author(s):  
Monique C. J. Leensen ◽  
Jan A. P. M. de Laat ◽  
Wouter A. Dreschler
Keyword(s):  
Hearing Loss ◽  
Screening Tests ◽  
Test Evaluation ◽  
Noise Induced Hearing Loss ◽  
Speech In Noise

Speech-in-noise screening tests by internet, Part 2: Improving test sensitivity for noise-induced hearing loss

2011 ◽  
Vol 50 (11) ◽  
pp. 835-848 ◽  
Author(s):  
Monique C. J. Leensen ◽  
Jan A. P. M. de Laat ◽  
Ad F. M. Snik ◽  
Wouter A. Dreschler
Keyword(s):  
Hearing Loss ◽  
Screening Tests ◽  
Noise Induced Hearing Loss ◽  
Speech In Noise ◽  
Test Sensitivity

scholarly journals Exploring the sensitivity of speech-in-noise tests for noise-induced hearing loss

2013 ◽  
Vol 53 (3) ◽  
pp. 199-205 ◽  
Author(s):  
Sofie Jansen ◽  
Heleen Luts ◽  
Philippe Dejonckere ◽  
Astrid van Wieringen ◽  
Jan Wouters
Keyword(s):  
Hearing Loss ◽  
Noise Induced Hearing Loss ◽  
Speech In Noise

scholarly journals Development of a Training Software to Improve Speech- in-Noise Perception in the Elderly with Noise-Induced Hearing Loss

2021 ◽  
Author(s):  
Parisa Rasouli Fard ◽  
Farnoush Jarollahi ◽  
Seyyed Jalal Sameni ◽  
Mohammad Kamali
Keyword(s):  
Hearing Loss ◽  
Signal To Noise Ratio ◽  
Multiple Linear Regression Model ◽  
The Elderly ◽  
Coefficient Of Determination ◽  
Noise Induced Hearing Loss ◽  
Noisy Environment ◽  
Speech In Noise ◽  
Before And After

Background and Aim: The incidence of noise-induced hearing loss (NIHL) is increasing rapidly worldwide. It has been shown that the long-term exposure to noise leads to permanent hearing loss. There is currently no treatment for NIHL and it is mainly managed by preventive measures. This study aimed to develop a training software to improve speech-in-noise (SIN) perception in the elderly suffering from mild-to-moderate NIHL due to temporal fine structure (TFS) damage. Methods: This is a non-randomized clinical trial conducted on 8 older men aged 60-75 years (Mean age = 68 ± 4.5 years) with mild-to-moderate NIHL at high frequencies (43.75±6.0 dBHL) with at least for five years of work in noisy environment. They received rehabilitation using a researcher-developed training software targeted TFS for five weeks. To assess the efficiency of the training software, the signal-to-noise ratio for 50% correct scores (SNR-50%) was calculated using the word-in-noise test before and after the trial. Results: The SNR-50% improved significantly in all participants from 13±2.63 dB to 6.10±2.85 dB (p<0.001). In the multiple linear regression model, the rehabilitation by the training software predicted 68% of improvement in SNR-50% (coefficient of determination=0.676). Conclusion: Rehabilitation by the training software developed based on TFS can improve SIN. perception in the elderly with NIHL.

Noise-Induced Hearing Loss and the Comprehension of Speech in Noise

1978 ◽  
Vol 86 (sup360) ◽  
pp. 90-95
Author(s):  
Sv. Quist-Hanssen ◽  
E. Thorud ◽  
G. Aasand
Keyword(s):  
Hearing Loss ◽  
Noise Induced Hearing Loss ◽  
Speech In Noise

For Those About to Rock

2012 ◽  
Vol 13 (1) ◽  
pp. 29-35
Author(s):  
Jennifer Tufts
Keyword(s):  
Hearing Loss ◽  
Cultural Landscape ◽  
Minimal Risk ◽  
Noise Induced Hearing Loss ◽  
Essential Information ◽  
Informed Decisions ◽  
Hearing Health ◽  
Loud Music ◽  
Protective Strategies

Loud music and noisy hobbies are part of our cultural landscape. These activities can be enjoyed with minimal risk to hearing if a few commonsense guidelines are followed. Educating clients about risks and protective strategies will empower them to make informed decisions about their hearing health that best reflect their values and priorities. In this article, the author covers essential information to avoiding noise-induced hearing loss, writing in easily accessible language to better help clinicians convey this information to their clients.

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