Literature DB >> 19418707

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).

Lindsay Ciletti1, Gregory A Flamme.   

Abstract

PURPOSE: This study describes the most common audiometric configurations and the prevalence of these configurations among adults (ages 20 to 69) in the noninstitutionalized population of the United States and in a sample of residents of a rural county in Iowa. RESEARCH
DESIGN: This was a cross-sectional population-based study. STUDY SAMPLE: Estimates generalizing to the noninstitutionalized population of the United States were based on National Health and Nutrition Examination Survey (NHANES) data collected from 2819 women and 2525 men between 1999 and 2004. Estimates from the rural county were based on Keokuk County Rural Health Study (KCRHS) data collected from 892 women and 750 men between 1994 and 1998. DATA COLLECTION AND ANALYSIS: Cluster analyses (kappa-means) were used to divide participants into groups including maximally similar bilateral air conduction audiograms. Separate cluster analyses were conducted for each gender. For NHANES data, prevalence and error estimates were obtained using sample weights intended to provide data generalizing to the noninstitutionalized population of the United States within this age range.
RESULTS: The hierarchical structure of audiometric configurations revealed that approximately 25% of women and 50% of men aged 20 to 69 in the noninstitutionalized population of the United States were best described by a configuration consistent with a marked hearing impairment in at least one frequency. Hearing impairments were more common among participants in the KCRHS. Gently sloping configurations of hearing impairment were dominant among women, while configurations featuring a greater slope were dominant among men. There was a greater variety of audiometric configurations in men than women.
CONCLUSIONS: In addition to their descriptive value, these data can be used to inform future studies of risk factors and progression of hearing loss, and to improve the generalizability of studies involving rehabilitative options for people with hearing impairment.

Entities:  

Mesh:

Year:  2008        PMID: 19418707     DOI: 10.3766/jaaa.19.9.3

Source DB:  PubMed          Journal:  J Am Acad Audiol        ISSN: 1050-0545            Impact factor:   1.664


  16 in total

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Authors:  C G Le Prell; B N Hensley; K C M Campbell; J W Hall; K Guire
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2.  Short-term variability of pure-tone thresholds obtained with TDH-39P earphones.

Authors:  Gregory A Flamme; Mark R Stephenson; Kristy K Deiters; Amanda Hessenauer; Devon K VanGessel; Kyle Geda; Krista Wyllys; Kara D McGregor
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3.  Rural Adult Perspectives on Impact of Hearing Loss and Barriers to Care.

Authors:  Whitney Powell; Julie A Jacobs; Wayne Noble; Matthew L Bush; Claire Snell-Rood
Journal:  J Community Health       Date:  2019-08

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

Authors:  Karen J Cruickshanks; David M Nondahl; Mary E Fischer; Carla R Schubert; Ted S Tweed
Journal:  Am J Audiol       Date:  2020-02-03       Impact factor: 1.493

5.  Classifying human audiometric phenotypes of age-related hearing loss from animal models.

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Journal:  J Assoc Res Otolaryngol       Date:  2013-06-06

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7.  Self-Adjustment of Hearing Aid Amplification for Lower Speech Levels: Independent Ratings, Paired Comparisons, and Speech Recognition.

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Journal:  Am J Audiol       Date:  2022-03-22       Impact factor: 1.636

8.  Common Configurations of Real-Ear Aided Response Targets Prescribed by NAL-NL2 for Older Adults With Mild-to-Moderate Hearing Loss.

Authors:  Justin Jensen; Dhruv Vyas; Dana Urbanski; Harinath Garudadri; Octav Chipara; Yu-Hsiang Wu
Journal:  Am J Audiol       Date:  2020-07-21       Impact factor: 1.493

9.  Can older people remember medication reminders presented using synthetic speech?

Authors:  Maria K Wolters; Christine Johnson; Pauline E Campbell; Christine G DePlacido; Brian McKinstry
Journal:  J Am Med Inform Assoc       Date:  2014-07-30       Impact factor: 4.497

10.  Glomerular Filtration Rate and Urine Albumin to Creatinine Ratio Associated With Hearing Impairment Among Korean Adults With Diabetes: A Nationwide Population-Based Study.

Authors:  Yunji Cho; Do Hoon Kim; June Choi; Joo Kyung Lee; Yong-Kyun Roh; Hyo-Yun Nam; Ga-Eun Nam; Dong-Won Kim; Seung-Hyun Lee; Chung-Woo Lee; Kyungdo Han; Yong-Gyu Park
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

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