Literature DB >> 33732140

Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis.

Léo Varnet1, Agnès C Léger2, Sophie Boucher3,4,5, Crystel Bonnet3,4, Christine Petit4,6, Christian Lorenzi1.   

Abstract

The decline of speech intelligibility in presbycusis can be regarded as resulting from the combined contribution of two main groups of factors: (1) audibility-related factors and (2) age-related factors. In particular, there is now an abundant scientific literature on the crucial role of suprathreshold auditory abilities and cognitive functions, which have been found to decline with age even in the absence of audiometric hearing loss. However, researchers investigating the direct effect of aging in presbycusis have to deal with the methodological issue that age and peripheral hearing loss covary to a large extent. In the present study, we analyzed a dataset of consonant-identification scores measured in quiet and in noise for a large cohort (n = 459, age = 42-92) of hearing-impaired (HI) and normal-hearing (NH) listeners. HI listeners were provided with a frequency-dependent amplification adjusted to their audiometric profile. Their scores in the two conditions were predicted from their pure-tone average (PTA) and age, as well as from their Extended Speech Intelligibility Index (ESII), a measure of the impact of audibility loss on speech intelligibility. We relied on a causal-inference approach combined with Bayesian modeling to disentangle the direct causal effects of age and audibility on intelligibility from the indirect effect of age on hearing loss. The analysis revealed that the direct effect of PTA on HI intelligibility scores was 5 times higher than the effect of age. This overwhelming effect of PTA was not due to a residual audibility loss despite amplification, as confirmed by a ESII-based model. More plausibly, the marginal role of age could be a consequence of the relatively little cognitively-demanding task used in this study. Furthermore, the amount of variance in intelligibility scores was smaller for NH than HI listeners, even after accounting for age and audibility, reflecting the presence of additional suprathreshold deficits in the latter group. Although the non-sense-syllable materials and the particular amplification settings used in this study potentially restrict the generalization of the findings, we think that these promising results call for a wider use of causal-inference analysis in audiology, e.g., as a way to disentangle the influence of the various cognitive factors and suprathreshold deficits associated to presbycusis.
Copyright © 2021 Varnet, Léger, Boucher, Bonnet, Petit and Lorenzi.

Entities:  

Keywords:  aging; audibility deficit; causal inference; phoneme identification; presbycusis; sensorineural hearing loss; suprathreshold auditory deficits

Year:  2021        PMID: 33732140      PMCID: PMC7956988          DOI: 10.3389/fnagi.2021.640522

Source DB:  PubMed          Journal:  Front Aging Neurosci        ISSN: 1663-4365            Impact factor:   5.750


  70 in total

1.  A Speech Intelligibility Index-based approach to predict the speech reception threshold for sentences in fluctuating noise for normal-hearing listeners.

Authors:  Koenraad S Rhebergen; Niek J Versfeld
Journal:  J Acoust Soc Am       Date:  2005-04       Impact factor: 1.840

2.  Effects of spectral smearing on the identification of speech in noise filtered into low- and mid-frequency regions.

Authors:  Agnès C Léger; Brian C J Moore; Dan Gnansia; Christian Lorenzi
Journal:  J Acoust Soc Am       Date:  2012-05       Impact factor: 1.840

Review 3.  Understanding the speech-understanding problems of older adults.

Authors:  Larry E Humes
Journal:  Am J Audiol       Date:  2013-12       Impact factor: 1.493

4.  The table 2 fallacy: presenting and interpreting confounder and modifier coefficients.

Authors:  Daniel Westreich; Sander Greenland
Journal:  Am J Epidemiol       Date:  2013-01-30       Impact factor: 4.897

Review 5.  Why Do Hearing Aids Fail to Restore Normal Auditory Perception?

Authors:  Nicholas A Lesica
Journal:  Trends Neurosci       Date:  2018-02-12       Impact factor: 13.837

6.  Identification of the Spectrotemporal Modulations That Support Speech Intelligibility in Hearing-Impaired and Normal-Hearing Listeners.

Authors:  Jonathan H Venezia; Allison-Graham Martin; Gregory Hickok; Virginia M Richards
Journal:  J Speech Lang Hear Res       Date:  2019-04-15       Impact factor: 2.297

7.  Speech masking release in listeners with flat hearing loss: effects of masker fluctuation rate on identification scores and phonetic feature reception.

Authors:  Christian Lorenzi; Mathieu Husson; Marine Ardoint; Xavier Debruille
Journal:  Int J Audiol       Date:  2006-09       Impact factor: 2.117

8.  Modeling speech intelligibility in quiet and noise in listeners with normal and impaired hearing.

Authors:  Koenraad S Rhebergen; Johannes Lyzenga; Wouter A Dreschler; Joost M Festen
Journal:  J Acoust Soc Am       Date:  2010-03       Impact factor: 1.840

Review 9.  Aging and Speech Understanding.

Authors:  Ji Young Lee
Journal:  J Audiol Otol       Date:  2015-04-17

10.  'Normal' hearing thresholds and fundamental auditory grouping processes predict difficulties with speech-in-noise perception.

Authors:  Emma Holmes; Timothy D Griffiths
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

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