Literature DB >> 18056872

Comparison of audiometric screening criteria for the identification of noise-induced hearing loss in adolescents.

Deanna K Meinke1, Noel Dice.   

Abstract

PURPOSE: To ascertain whether current pure-tone school hearing screening criteria used across the United States are adequate for the early identification of noise-induced hearing loss (NIHL) in adolescents.
METHOD: School-based pure-tone hearing screening protocols were collected, reviewed, and consolidated from 46 state agencies. A retrospective categorical analysis of air-conduction audiometric thresholds from a computerized database of 9th-grade (n = 376) and 12th-grade (n = 265) students from a suburban high school was conducted. The database analysis was designed to determine whether each screening protocol would identify high-frequency notched audiometric configurations suggestive of NIHL when using the noise notch criteria described by A. S. Niskar et al. (2001).
RESULTS: All of the school-based hearing screening criteria identified significantly (p <or= .05) fewer students with a high-frequency notch (HFN) than the noise notch protocol regardless of screening decibel level specified. Over half of the school-based hearing screening protocols used in the United States will identify only 22% of the students with an HFN and consequently would fail to detect a potential NIHL.
CONCLUSIONS: Currently implemented school-based hearing screening guidelines are nonstandardized and inadequate for the early identification of NIHL. This denies the majority of students the opportunity to receive early intervention and to prevent further progression of NIHL. It is necessary to identify, standardize, and implement effective and efficient screening or monitoring programs for the early detection and prevention of NIHL in adolescents.

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Year:  2007        PMID: 18056872     DOI: 10.1044/1059-0889(2007/023)

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


  7 in total

1.  Evidence of hearing loss in a 'normally-hearing' college-student population.

Authors:  C G Le Prell; B N Hensley; K C M Campbell; J W Hall; K Guire
Journal:  Int J Audiol       Date:  2011-03       Impact factor: 2.117

2.  Variability of state school-based hearing screening protocols in the United States.

Authors:  Deepa L Sekhar; Thomas R Zalewski; Ian M Paul
Journal:  J Community Health       Date:  2013-06

3.  Post-processing analysis of transient-evoked otoacoustic emissions to detect 4 kHz-notch hearing impairment--a pilot study.

Authors:  Giovanna Zimatore; Anna Rita Fetoni; Gaetano Paludetti; Marta Cavagnaro; Maria Vittoria Podda; Diana Troiani
Journal:  Med Sci Monit       Date:  2011-06

4.  Prevalence of Hearing Loss Among a Representative Sample of Canadian Children and Adolescents, 3 to 19 Years of Age.

Authors:  Katya Polena Feder; David Michaud; James McNamee; Elizabeth Fitzpatrick; Pamela Ramage-Morin; Yves Beauregard
Journal:  Ear Hear       Date:  2017 Jan/Feb       Impact factor: 3.570

5.  A Mobile Phone-Based Approach for Hearing Screening of School-Age Children: Cross-Sectional Validation Study.

Authors:  Yuan-Chia Chu; Yen-Fu Cheng; Feipei Lai; Ying-Hui Lai; Yu Tsao; Tzong-Yang Tu; Shuenn Tsong Young; Tzer-Shyong Chen; Yu-Fang Chung; Wen-Huei Liao
Journal:  JMIR Mhealth Uhealth       Date:  2019-04-01       Impact factor: 4.773

Review 6.  How the World's Children Hear: A Narrative Review of School Hearing Screening Programs Globally.

Authors:  Michael Yong; Neelima Panth; Catherine M McMahon; Peter R Thorne; Susan D Emmett
Journal:  OTO Open       Date:  2020-05-19

7.  Diagnostic Validity of Self-Reported Hearing Loss in Elderly Taiwanese Individuals: Diagnostic Performance of a Hearing Self-Assessment Questionnaire on Audiometry.

Authors:  Tzong-Hann Yang; Yuan-Chia Chu; Yu-Fu Chen; Meng-Yu Chen; Yen-Fu Cheng; Chuan-Song Wu; Hung-Meng Huang
Journal:  Int J Environ Res Public Health       Date:  2021-12-15       Impact factor: 3.390

  7 in total

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