Association of self-reported noise exposure and audiograms processed with algorithms proposed to quantify noise-induced hearing loss.

The objective of this study was to assess the association of self-reported noise exposure and audiograms processed with ten algorithms proposed to quantify noise-induced hearing loss using receiver operating characteristic (ROC) curves. Participants were placed into groups based on self-reported noi...

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Publicado en:International Journal of Audiology Vol. 61; no. 10; pp. 809 - 818
Autores principales: Pudrith, Charles, Phillips, Susan, Labban, Jeffrey
Formato: algorithm research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Oct2022
Acceso en línea:Ver este registro en EBSCOhost
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        14992027
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      jtl: International Journal of Audiology
      issn: 14992027
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      dt: Oct2022
      vid: 61
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/14992027.2021.1983216
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        atl: Association of self-reported noise exposure and audiograms processed with algorithms proposed to quantify noise-induced hearing loss.
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        au:
          Pudrith, Charles
          Phillips, Susan
          Labban, Jeffrey
        affil: School of Allied Health and Communicative Disorders, Northern Illinois University, DeKalb, IL, USA
      sug:
        subj:
          Noise Adverse Effects
          Environmental Exposure Adverse Effects
          Hearing Loss, Noise-Induced Diagnosis
          Hearing Loss, Noise-Induced Etiology
          Self Report
          Audiometry
          Algorithms
          Quantitative Studies
          Auditory Threshold
          Cross Sectional Studies
          Occupational Exposure
          Hearing Disorders In Old Age
          Aging
          Aged
          ROC Curve
          Clinical Assessment Tools
          Human
          Male
          Female
          Aged, 80 and Over
          Descriptive Statistics
          Data Analysis Software
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: The objective of this study was to assess the association of self-reported noise exposure and audiograms processed with ten algorithms proposed to quantify noise-induced hearing loss using receiver operating characteristic (ROC) curves. Participants were placed into groups based on self-reported noise exposure. Self-reported noise exposure served as a predictor for noise-induced hearing loss (NIHL). Audiograms were analysed with ten algorithms: The Guidelines, Brewster's Rules, two versions of military Noise-induced Hearing Loss, the Bulge Depth, the age-adjusted 8 kHz threshold and four versions of a new algorithm called the Adjusted Notch Depth (AND). The area under the ROC curves were calculated for each algorithm. Data were collected from three cycles of the National Health and Nutrition Examination Survey. Only one version the AND significantly identified those with self-reported noise exposure with an area under the curve of 0.562. The association between the AND and self-reported noise exposure was marginally better than the previous algorithms in identifying those with self-reported noise exposure. These findings do not support using puretone thresholds for identifying those with NIHL in a cross-sectional research study without stratifying the participants. More research is needed to determine how the AND can be applied to stratified designs.
      pubtype: Academic Journal
      doctype:
        algorithm
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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