Literature DB >> 31795687

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

Linda F Cantley1, Deron Galusha1, Martin D Slade1.   

Abstract

Variations in individual susceptibility to noise-induced hearing loss have been observed among workers exposed to similar ambient noise levels but the reasons for this observation are poorly understood. Many workers are exposed to hazardous levels of occupational noise throughout their entire careers. Therefore, a mechanism to identify workers at risk for accelerated hearing loss early in their career may offer a time-sensitive window for targeted intervention. Using available longitudinal data for an occupationally noise-exposed cohort of manufacturing workers, this study aims to examine whether change in an individual's high frequency hearing level during the initial years of occupational noise exposure can predict subsequent high frequency hearing loss. General linear mixed modeling was used to model later hearing slope in the worse ear for the combined frequencies of 3, 4, and 6 kHz as a function of early hearing slope in the worse ear, age at baseline, sex, race/ethnicity, mean ambient workplace noise exposure, and self-reported non-occupational noise exposure. Those with accelerated early hearing loss were more likely to experience a greater rate of subsequent hearing loss, thus offering a potentially important opportunity for meaningful intervention among those at greatest risk of future hearing loss.

Entities:  

Year:  2019        PMID: 31795687      PMCID: PMC6881190          DOI: 10.1121/1.5132542

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  23 in total

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Journal:  Educ Health (Abingdon)       Date:  2003-07

2.  The global burden of occupational noise-induced hearing loss.

Authors:  Deborah Imel Nelson; Robert Y Nelson; Marisol Concha-Barrientos; Marilyn Fingerhut
Journal:  Am J Ind Med       Date:  2005-12       Impact factor: 2.214

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

Authors:  Mariola Sliwińska-Kowalska; Adam Dudarewicz; Piotr Kotyło; Ewa Zamysłowska-Szmytke; Małgorzata Pawlaczyk-łuszczyńska; Anna Gajda-Szadkowska
Journal:  Int J Occup Med Environ Health       Date:  2006       Impact factor: 1.843

4.  The hearing conservation amendment: 25 years later.

Authors:  Alice H Suter
Journal:  Noise Health       Date:  2009 Jan-Mar       Impact factor: 0.867

5.  Economic Impact of Hearing Loss and Reduction of Noise-Induced Hearing Loss in the United States.

Authors:  Richard L Neitzel; Tracy K Swinburn; Monica S Hammer; Daniel Eisenberg
Journal:  J Speech Lang Hear Res       Date:  2017-01-01       Impact factor: 2.297

6.  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

7.  Occupational noise exposure and risk of hypertension in an industrial workforce.

Authors:  Baylah Tessier-Sherman; Deron Galusha; Linda F Cantley; Mark R Cullen; Peter M Rabinowitz; Richard L Neitzel
Journal:  Am J Ind Med       Date:  2017-09-22       Impact factor: 2.214

Review 8.  Individual susceptibility to noise-induced hearing loss: an old topic revisited.

Authors:  D Henderson; M Subramaniam; F A Boettcher
Journal:  Ear Hear       Date:  1993-06       Impact factor: 3.570

9.  Noise-induced hearing loss as influenced by other agents and by some physical characteristics of the individual.

Authors:  L E Humes
Journal:  J Acoust Soc Am       Date:  1984-11       Impact factor: 1.840

10.  Hearing loss prevalence in the United States.

Authors:  Frank R Lin; John K Niparko; Luigi Ferrucci
Journal:  Arch Intern Med       Date:  2011-11-14
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  2 in total

1.  Noise-induced hearing loss and its prevention: Integration of data from animal models and human clinical trials.

Authors:  Colleen G Le Prell; Tanisha L Hammill; William J Murphy
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

2.  Temporary Threshold Shifts among Iron and Steel Factory Workers in Tanzania: A Pre-Interventional Study.

Authors:  Israel P Nyarubeli; Magne Bråtveit; Alexander Mtemi Tungu; Simon H Mamuya; Bente E Moen
Journal:  Ann Glob Health       Date:  2021-04-06       Impact factor: 2.462

  2 in total

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