Audiogram configurations among older adults: prevalence and relation to self-reported hearing problems

Int J Audiol. 2011 Nov;50(11):793-801. doi: 10.3109/14992027.2011.593562. Epub 2011 Sep 15.

Abstract

Objective: There are only a few population-based epidemiological studies on audiogram configurations among adults. The aim of this study was to investigate the prevalence of different audiogram configurations among older adults. In addition, audiogram configurations among subjects reporting hearing problems were examined.

Design: Cross-sectional, population-based, unscreened epidemiological study among older adults.

Study sample: The subjects (n = 850), aged 54-66 years, were randomly sampled from the population register. A questionnaire survey, an otological examination, and pure-tone audiometry were performed.

Results: The most prevalent audiogram configuration among men was high-frequency steeply sloping (65.3% left ear, 51.2% right ear) and among women, high-frequency gently sloping (33.0% left ear, 31.5% right ear). There were significantly more flat configurations among women than among men. Unclassified audiograms were common especially among women (17.5%). Subjects reporting hearing difficulties, difficulties in following conversation in noise, or tinnitus, more often had a high-frequency steeply sloping configuration than those not reporting.

Conclusions: High-frequency sloping audiogram configurations were common among older adults, and a high-frequency steeply sloping configuration was common among those reporting hearing problems.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acoustic Stimulation
  • Age Factors
  • Aged
  • Analysis of Variance
  • Audiometry, Pure-Tone*
  • Auditory Pathways / physiopathology*
  • Auditory Threshold
  • Bone Conduction
  • Chi-Square Distribution
  • Cross-Sectional Studies
  • Female
  • Finland / epidemiology
  • Hearing Disorders / diagnosis*
  • Hearing Disorders / epidemiology*
  • Hearing Disorders / physiopathology
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prevalence
  • Registries
  • Self Report*
  • Sex Factors