Literature DB >> 32011900

A Novel Method for Classifying Hearing Impairment in Epidemiological Studies of Aging: The Wisconsin Age-Related Hearing Impairment Classification Scale.

Karen J Cruickshanks1,2, David M Nondahl1, Mary E Fischer1, Carla R Schubert1, Ted S Tweed1,3.   

Abstract

Purpose Longitudinal population-based cohort data were used to develop a standardized classification system for age-related hearing impairment using thresholds for frequencies (0.5-8 kHz) typically measured in cohort studies. Method Audiometric testing data collected in the Epidemiology of Hearing Loss Study from participants (n = 1,369) with four visits (1993-1995, 1998-2000, 2003-2005, and 2009-2010) were included (10,952 audiograms). Cluster analyses (Wald's method) were used to identify audiometric patterns. Maximum allowable threshold values were defined for each cluster to create an ordered scale. Progression was defined as a two-step change. Results An eight-step scale was developed to capture audiogram shape and severity of hearing impairment. Of the 1,094 participants classified as having normal hearing based on a pure-tone average, only 25% (n = 277) were classified as Level 1 (all thresholds ≤ 20 dB HL) on the new scale, whereas 17% (n = 182) were Levels 4-6. During the 16-year follow-up, 64.9% of those at Level 1 progressed. There was little regression using this scale. Conclusions This is the first scale developed from population-based longitudinal cohort data to capture audiogram shape across time. This simple, standardized scale is easy to apply, reduces misclassification of normal hearing, and may be a useful method for identifying risk factors for early, preclinical, age-related changes in hearing.

Entities:  

Year:  2020        PMID: 32011900      PMCID: PMC7229775          DOI: 10.1044/2019_AJA-19-00021

Source DB:  PubMed          Journal:  Am J Audiol        ISSN: 1059-0889            Impact factor:   1.493


  37 in total

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Authors:  H F SCHUKNECHT
Journal:  Laryngoscope       Date:  1955-06       Impact factor: 3.325

2.  The prevalence of age-related maculopathy by geographic region and ethnicity. The Colorado-Wisconsin Study of Age-Related Maculopathy.

Authors:  K J Cruickshanks; R F Hamman; R Klein; D M Nondahl; S M Shetterly
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3.  A randomized, placebo-controlled, clinical trial of high-dose supplementation with vitamins C and E, beta carotene, and zinc for age-related macular degeneration and vision loss: AREDS report no. 8.

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Authors:  H F Schuknecht; M R Gacek
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Authors:  Judy R Dubno; Mark A Eckert; Fu-Shing Lee; Lois J Matthews; Richard A Schmiedt
Journal:  J Assoc Res Otolaryngol       Date:  2013-06-06

6.  An alternative method of grading diabetic retinopathy.

Authors:  R Klein; B E Klein; Y L Magli; R J Brothers; S M Meuer; S E Moss; M D Davis
Journal:  Ophthalmology       Date:  1986-09       Impact factor: 12.079

7.  Prevalence of hearing loss in older adults in Beaver Dam, Wisconsin. The Epidemiology of Hearing Loss Study.

Authors:  K J Cruickshanks; T L Wiley; T S Tweed; B E Klein; R Klein; J A Mares-Perlman; D M Nondahl
Journal:  Am J Epidemiol       Date:  1998-11-01       Impact factor: 4.897

8.  Changes in hearing thresholds over 10 years in older adults.

Authors:  Terry L Wiley; Rick Chappell; Lakeesha Carmichael; David M Nondahl; Karen J Cruickshanks
Journal:  J Am Acad Audiol       Date:  2008-04       Impact factor: 1.664

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Authors:  T L Wiley; K J Cruickshanks; D M Nondahl; T S Tweed; R Klein; B E Klein
Journal:  J Am Acad Audiol       Date:  1998-06       Impact factor: 1.664

10.  Prevalence of hearing impairment by gender and audiometric configuration: results from the National Health and Nutrition Examination Survey (1999-2004) and the Keokuk County Rural Health Study (1994-1998).

Authors:  Lindsay Ciletti; Gregory A Flamme
Journal:  J Am Acad Audiol       Date:  2008-10       Impact factor: 1.664

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  2 in total

1.  OPRA-RS: A Hearing-Aid Fitting Method Based on Automatic Speech Recognition and Random Search.

Authors:  Libio Gonçalves Braz; Lionel Fontan; Julien Pinquier; Michael A Stone; Christian Füllgrabe
Journal:  Front Neurosci       Date:  2022-02-21       Impact factor: 4.677

2.  Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants.

Authors:  Lionel Fontan; Libio Gonçalves Braz; Julien Pinquier; Michael A Stone; Christian Füllgrabe
Journal:  Front Neurosci       Date:  2022-03-17       Impact factor: 4.677

  2 in total

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