High-frequency hearing thresholds: effects of age, occupational ultrasound and noise exposure

Int Arch Occup Environ Health. 2015 Feb;88(2):197-211. doi: 10.1007/s00420-014-0951-8. Epub 2014 Jun 13.

Abstract

Purpose: It has been suggested that high-frequency audiometry (HFA) could represent a useful preventive measure in exposed workers. The aim was to investigate the effects of age, ultrasound and noise on high-frequency hearing thresholds.

Methods: We tested 24 industrial ultrasound-exposed subjects, 113 industrial noise-exposed subjects and 148 non-exposed subjects. Each subject was tested with both conventional-frequency (0.125-8 kHz) and high-frequency (9-18 kHz) audiometry.

Results: The hearing threshold at high frequency deteriorated as a function of age, especially in subjects more than 30 years old. The ultrasound-exposed subjects had significantly higher hearing thresholds than the non-exposed ones at the high frequencies, being greatest from 10 to 14 kHz. This hearing loss was already significantly evident in subjects with exposure <5 years and increased with years of exposure and advancing age. The noise exposure group had significantly higher hearing thresholds than the non-exposed group at the conventional frequencies 4 and 6 kHz and at the high frequency of 14 kHz. After stratification for age, there was a significant difference between the two groups at 9-10 and 14-15 kHz only for those under 30 years of age.

Conclusion: Multivariate analysis indicated that age was the primary predictor, and noise and ultrasound exposure the secondary predictors of hearing thresholds in the high-frequency range. The results suggest that HFA could be useful in the early diagnosis of noise-induced hearing loss in younger groups of workers (under 30 years of age).

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Age Factors
  • Aged
  • Audiometry, Pure-Tone
  • Auditory Threshold
  • Female
  • Hearing Loss, Noise-Induced / diagnosis
  • Hearing Loss, Noise-Induced / epidemiology*
  • Humans
  • Industry
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Noise, Occupational / adverse effects*
  • Occupational Diseases / diagnosis
  • Occupational Diseases / epidemiology*
  • Occupational Diseases / etiology*
  • Occupational Exposure / adverse effects*
  • Risk Factors
  • Smoking
  • Young Adult