Literature DB >> 20844255

Are false-positive rates leading to an overestimation of noise-induced hearing loss?

Robert S Schlauch1, Edward Carney.   

Abstract

PURPOSE: To estimate false-positive rates for rules proposed to identify early noise-induced hearing loss (NIHL) using the presence of notches in audiograms.
METHOD: Audiograms collected from school-age children in a national survey of health and nutrition (the Third National Health and Nutrition Examination Survey [NHANES III]; National Center for Health Statistics, 1994) were examined using published rules for identifying noise notches at various pass-fail criteria. These results were compared with computer-simulated "flat" audiograms. The proportion of these identified as having a noise notch is an estimate of the false-positive rate for a particular rule.
RESULTS: Audiograms from the NHANES III for children 6-11 years of age yielded notched audiograms at rates consistent with simulations, suggesting that this group does not have significant NIHL. Further, pass-fail criteria for rules suggested by expert clinicians, applied to NHANES III audiometric data, yielded unacceptably high false-positive rates.
CONCLUSIONS: Computer simulations provide an effective method for estimating false-positive rates for protocols used to identify notched audiograms. Audiometric precision could possibly be improved by (a) eliminating systematic calibration errors, including a possible problem with reference levels for TDH-style earphones; (b) repeating and averaging threshold measurements; and (c) using earphones that yield lower variability for 6.0 and 8.0 kHz--2 frequencies critical for identifying noise notches.

Entities:  

Mesh:

Year:  2010        PMID: 20844255     DOI: 10.1044/1092-4388(2010/09-0132)

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  7 in total

Review 1.  Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes.

Authors:  Alison F Smith; Bethany Shinkins; Peter S Hall; Claire T Hulme; Mike P Messenger
Journal:  Clin Chem       Date:  2019-08-23       Impact factor: 8.327

2.  Noise-induced hearing threshold shift among US adults and implications for noise-induced hearing loss: National Health and Nutrition Examination Surveys.

Authors:  Hossein Mahboubi; Shawn Zardouz; Sepehr Oliaei; Deyu Pan; Mohsen Bazargan; Hamid R Djalilian
Journal:  Eur Arch Otorhinolaryngol       Date:  2012-03-03       Impact factor: 2.503

3.  Age and sex differences in hearing loss association with depressive symptoms: analyses of NHANES 2011-2012.

Authors:  Franco Scinicariello; Jennifer Przybyla; Yulia Carroll; John Eichwald; John Decker; Patrick N Breysse
Journal:  Psychol Med       Date:  2018-06-18       Impact factor: 7.723

4.  Pure tone hearing thresholds and leisure noise: Is there a relationship?

Authors:  Warwick Williams; Lyndal Carter; Mark Seeto
Journal:  Noise Health       Date:  2015 Sep-Oct       Impact factor: 0.867

5.  Audiometric notch and extended high-frequency hearing threshold shift in relation to total leisure noise exposure: An exploratory analysis.

Authors:  Wenjia Wei; Stefanie Heinze; Doris G Gerstner; Sandra M Walser; Dorothee Twardella; Christina Reiter; Veronika Weilnhammer; Carmelo Perez-Alvarez; Thomas Steffens; Caroline E W Herr
Journal:  Noise Health       Date:  2017 Nov-Dec       Impact factor: 0.867

6.  Association of Obesity with Hearing Impairment in Adolescents.

Authors:  Franco Scinicariello; Yulia Carroll; John Eichwald; John Decker; Patrick N Breysse
Journal:  Sci Rep       Date:  2019-02-12       Impact factor: 4.379

7.  Association Analysis of Candidate Gene Polymorphisms and Audiometric Measures of Noise-Induced Hearing Loss in Young Musicians.

Authors:  Ishan Sunilkumar Bhatt; Raquel Dias; Nilesh Washnik; Jin Wang; O'neil Guthrie; Michael Skelton; Jeffery Lane; Jason Wilder
Journal:  Otol Neurotol       Date:  2020-06       Impact factor: 2.619

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.