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Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses
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Audiometric "early flags" for occupational hearing loss.

Peter M Rabinowitz1, Deron Galusha, Christine Dixon Ernst

  • 1Yale University School of Medicine, Occupational and Environmental Medicine Program, New Haven, CT 06510, USA. Peter.rabinowitz@yale.edu

Journal of Occupational and Environmental Medicine
|January 31, 2008
PubMed
Summary

The optimal early detection of occupational noise-induced hearing loss (NIHL) uses specific audiometric shifts. An 8 dB age-corrected shift or a 10 dB non-age-corrected shift effectively flags hearing loss risk.

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Area of Science:

  • Occupational health
  • Audiology
  • Industrial hygiene

Background:

  • Current Occupational Safety and Health Administration (OSHA) criteria for recording noise-induced hearing loss (NIHL) may not facilitate early detection.
  • There is a lack of scientific consensus on optimal "early flags" for identifying NIHL in its initial stages.

Purpose of the Study:

  • To compare the effectiveness of various early flag metrics against the subsequent development of recordable hearing loss.
  • To identify optimal audiometric indicators for early NIHL detection.

Main Methods:

  • A longitudinal analysis of industrial audiograms was conducted.
  • The study calculated the time from an "early flag" event to the occurrence of recordable hearing loss.
  • The 10-year risk of developing recordable hearing loss after an "early flag" event was assessed.

Main Results:

  • The 10 dB non-age-corrected Standard Threshold Shift (STS) was identified as an effective flag.
  • An 8 dB age-corrected shift at 2, 3, and 4 kHz demonstrated optimal performance.
  • These metrics effectively balanced positive predictive value with the timeliness of detecting recordable hearing loss.

Conclusions:

  • Audiometric surveillance professionals must weigh the predictive accuracy of early flags against the speed of detection.
  • This research offers a framework for validating and selecting appropriate audiometric early flags within hearing conservation programs.