Literature DB >> 17402219

Individual susceptibility to noise-induced hearing loss: choosing an optimal method of retrospective classification of workers into noise-susceptible and noise-resistant groups.

Mariola Sliwińska-Kowalska1, Adam Dudarewicz, Piotr Kotyło, Ewa Zamysłowska-Szmytke, Małgorzata Pawlaczyk-łuszczyńska, Anna Gajda-Szadkowska.   

Abstract

OBJECTIVES: Individual susceptibility to noise-induced hearing loss (NIHL) depends on the interaction between intrinsic and environmental factors. To proceed with the study on NIHL susceptibility genes an appropriate selection of workers susceptible and resistant to noise is crucial. The aim of the study was to compare four different methods of subject classification by the susceptibility to NIHL in a group of 949 workers of an electric power plant exposed to steady-state noise at the workplace.
MATERIALS AND METHODS: One method based the classification of the workers on the international reference standard ISO 1999:1990; from the entire group of workers, 10% of the subjects with the worst hearing thresholds (HT) in the model were categorized as susceptible to NIHL, whereas 10% of the subjects with the best HT were categorized as resistant to noise. According to three other methods, the entire group of workers was first divided into subgroups by age, duration of employment and the level of noise, and then 10% of the subjects at each HT extreme were selected.
RESULTS: The first classification allowed to achieve an excellent separation between HT of the susceptible and resistant subgroups. The susceptible subgroup was significantly younger than the resistant one, showed a shorter duration of employment and a lower level of noise exposure, which is in line with the definition of increased vulnerability to NIHL. The three other methods produced poorer separation of HT with smaller or no gap between HT values in subgroups.
CONCLUSIONS: The selection of subjects from the entire worker population of a given industry based on the ISO 1999:1990 standard can be regarded as the most reliable method of classification of noise-susceptible and noise-resistant workers to be used in the future genetic studies on NIHL susceptibility genes.

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Year:  2006        PMID: 17402219     DOI: 10.2478/v10001-006-0029-2

Source DB:  PubMed          Journal:  Int J Occup Med Environ Health        ISSN: 1232-1087            Impact factor:   1.843


  12 in total

1.  Noise-induced changes in gene expression in the cochleae of mice differing in their susceptibility to noise damage.

Authors:  Michael Anne Gratton; Anna Eleftheriadou; Jerel Garcia; Esteban Verduzco; Glen K Martin; Brenda L Lonsbury-Martin; Ana E Vázquez
Journal:  Hear Res       Date:  2010-12-25       Impact factor: 3.208

2.  A retrospective analysis of noise-induced hearing loss in the Dutch construction industry.

Authors:  M C J Leensen; J C van Duivenbooden; W A Dreschler
Journal:  Int Arch Occup Environ Health       Date:  2011-01-04       Impact factor: 3.015

3.  Early hearing slope as a predictor of subsequent hearing trajectory in a noise-exposed occupational cohort.

Authors:  Linda F Cantley; Deron Galusha; Martin D Slade
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

4.  AudioChip: A Deep Phenotyping Approach for Deconstructing and Quantifying Audiological Phenotypes of Self-Reported Speech Perception Difficulties.

Authors:  Ishan Sunilkumar Bhatt; Raquel Dias; Nathan Wineinger; Sheila Pratt; Jin Wang; Nilesh Washnik; O'neil Guthrie; Jason Wilder; Ali Torkamani
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

5.  Association of Behavior With Noise-Induced Hearing Loss Among Attendees of an Outdoor Music Festival: A Secondary Analysis of a Randomized Clinical Trial.

Authors:  Véronique J C Kraaijenga; J J C M van Munster; G A van Zanten
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2018-06-01       Impact factor: 6.223

6.  Variations in HSP70 genes associated with noise-induced hearing loss in two independent populations.

Authors:  Annelies Konings; Lut Van Laer; Sophie Michel; Malgorzata Pawelczyk; Per-Inge Carlsson; Marie-Louise Bondeson; Elzbieta Rajkowska; Adam Dudarewicz; Ann Vandevelde; Erik Fransen; Jeroen Huyghe; Erik Borg; Mariola Sliwinska-Kowalska; Guy Van Camp
Journal:  Eur J Hum Genet       Date:  2008-09-24       Impact factor: 4.246

7.  Noise exposure and hearing status among call center operators.

Authors:  Malgorzata Pawlaczyk-Luszczynska; Adam Dudarewicz; Małgorzata Zamojska-Daniszewska; Kamil Zaborowski; Paulina Rutkowska-Kaczmarek
Journal:  Noise Health       Date:  2018 Sep-Oct       Impact factor: 0.867

8.  Association Analysis of Candidate Gene Polymorphisms and Audiometric Measures of Noise-Induced Hearing Loss in Young Musicians.

Authors:  Ishan Sunilkumar Bhatt; Raquel Dias; Nilesh Washnik; Jin Wang; O'neil Guthrie; Michael Skelton; Jeffery Lane; Jason Wilder
Journal:  Otol Neurotol       Date:  2020-06       Impact factor: 2.619

9.  Relationship of cigarette smoking and hearing loss in workers exposed to occupational noise.

Authors:  Joo Hyun Sung; Chang Sun Sim; Choong-Ryeol Lee; Cheol-In Yoo; Hun Lee; Yangho Kim; Jiho Lee
Journal:  Ann Occup Environ Med       Date:  2013-07-03

10.  Associations of Genetic Variation in Glyceraldehyde 3-Phosphate Dehydrogenase Gene with Noise-Induced Hearing Loss in a Chinese Population: A Case-Control Study.

Authors:  Liu Wan; Boshen Wang; Juan Zhang; Baoli Zhu; Yuepu Pu
Journal:  Int J Environ Res Public Health       Date:  2020-04-22       Impact factor: 3.390

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