Literature DB >> 12597181

Evaluation of the risk of noise-induced hearing loss among unscreened male industrial workers.

Mary M Prince1, Stephen J Gilbert, Randall J Smith, Leslie T Stayner.   

Abstract

Variability in background risk and distribution of various risk factors for hearing loss may explain some of the diversity in excess risk of noise-induced hearing loss (NIHL). This paper examines the impact of various risk factors on excess risk estimates of NIHL using data from the 1968-1972 NIOSH Occupational Noise and Hearing Survey (ONHS). Previous analyses of a subset of these data focused on 1172 highly "screened" workers. In the current analysis, an additional 894 white males (609 noise-exposed and 285 controls), who were excluded for various reasons (i.e., nonoccupational noise exposure, otologic or medical conditions affecting hearing, prior occupational noise exposure) have been added 2066) to assess excess risk of noise-induced material impairment in an unscreened population. Data are analyzed by age, duration of exposure, and sound level (8-h TWA) for four different definitions of noise-induced hearing impairment, defined as the binaural pure-tone average (PTA) hearing threshold level greater than 25 dB for the following frequencies: (a) 1-4 kHz (PTA1234), (b) 1-3 kHz (PTA123), (c) 0.5, 1, and 2 kHz (PTA512), and (d) 3, 4, and 6 kHz (PTA346). Results indicate that populations with higher background risks of hearing loss may show lower excess risks attributable to noise relative to highly screened populations. Estimates of lifetime excess risk of hearing impairment were found to be significantly different between screened and unscreened population for noise levels greater than 90 dBA. Predicted age-related risk of material hearing impairment in the ONHS unscreened population was similar to that predicted from Annex B and C of ANSI S3.44 for ages less than 60 years. Results underscore the importance of understanding differential risk patterns for hearing loss and the use of appropriate reference (control) populations when evaluating risk of noise-induced hearing impairment among contemporary industrial populations.

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Year:  2003        PMID: 12597181     DOI: 10.1121/1.1536635

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


  4 in total

1.  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

2.  Noise-induced hearing loss and hearing aids requirement.

Authors:  C Giordano; M Garzaro; J Nadalin; G Pecorari; R Boggero; P Argentero; R Albera
Journal:  Acta Otorhinolaryngol Ital       Date:  2008-08       Impact factor: 2.124

3.  A prospective study of hearing changes after beginning zidovudine or didanosine in HIV-1 treatment-naïve people.

Authors:  Jeffrey T Schouten; David W Lockhart; Thomas S Rees; Ann C Collier; Christina M Marra
Journal:  BMC Infect Dis       Date:  2006-02-20       Impact factor: 3.090

4.  Occupational hearing loss in teachers: a probable diagnosis.

Authors:  Regina Helena Garcia Martins; Elaine Lara Mendes Tavares; Arlindo C Lima Neto; Marisa P Fioravanti
Journal:  Braz J Otorhinolaryngol       Date:  2007 Mar-Apr
  4 in total

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