Children with Minimal Conductive Hearing Impairment: Speech Comprehension in Noise

Keogh, Tegan; Kei, Joseph; Driscoll, Carlie; Khan, Asaduzzaman

doi:10.1159/000218360

Cited by 26 publications

(27 citation statements)

References 48 publications

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“…pure-tone averages for the three speech frequencies between 15 and 30 dB hearing level) who do not use hearing aids (HAs) have been found to have poorer speech-in-noise recognition than children with thresholds better than 15 dB (Crandell, 1993). That outcome was found for sentence-length material, but has been replicated using word lists for children with conductive hearing losses who had auditory thresholds in the same 15 to 30 dB range (Keogh et al, 2010). In that latter study, recognition scores obtained at 0 dB SNR were 9 percentage points lower for the children with conductive hearing loss than for children with normal hearing.…”

mentioning

confidence: 81%

Improving speech-in-noise recognition for children with hearing loss: Potential effects of language abilities, binaural summation, and head shadow

Nittrouer

Caldwell-Tarr

Tarr

et al. 2013

International Journal of Audiology

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Objective: This study examined speech recognition in noise for children with hearing loss, compared it to recognition for children with normal hearing, and examined mechanisms that might explain variance in children’s abilities to recognize speech in noise. Design: Word recognition was measured in two levels of noise, both when the speech and noise were co-located in front and when the noise came separately from one side. Four mechanisms were examined as factors possibly explaining variance: vocabulary knowledge, sensitivity to phonological structure, binaural summation, and head shadow. Study sample: Participants were 113 eight-year-old children. Forty-eight had normal hearing (NH) and 65 had hearing loss: 18 with hearing aids (HAs), 19 with one cochlear implant (CI), and 28 with two CIs. Results: Phonological sensitivity explained a significant amount of between-groups variance in speech-in-noise recognition. Little evidence of binaural summation was found. Head shadow was similar in magnitude for children with NH and with CIs, regardless of whether they wore one or two CIs. Children with HAs showed reduced head shadow effects. Conclusion: These outcomes suggest that in order to improve speech-in-noise recognition for children with hearing loss, intervention needs to be comprehensive, focusing on both language abilities and auditory mechanisms.

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mentioning

confidence: 81%

Improving speech-in-noise recognition for children with hearing loss: Potential effects of language abilities, binaural summation, and head shadow

Nittrouer

Caldwell-Tarr

Tarr

et al. 2013

International Journal of Audiology

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“…In multiple studies, children with a history of CHL have greater difficulty correctly identifying words or understanding speech in background noise than controls, requiring higher signal-to-noise ratios (SNRs) to attain equivalent performance (Gravel and Wallace, 1992; Schilder et al, 1994; Hall et al, 2003; Eapen et al, 2008; Hsieh et al, 2009; Keogh et al, 2010). These speech processing difficulties are likely due to changes in the central auditory system that arise from auditory deprivation (Sanes and Bao, 2009).…”

Section: Introductionmentioning

confidence: 99%

Developmental hearing loss impairs signal detection in noise: putative central mechanisms

Voytenko

Galazyuk

Rosen

2014

Front. Syst. Neurosci.

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Listeners with hearing loss have difficulty processing sounds in noisy environments. This is most noticeable for speech perception, but is reflected in a basic auditory processing task: detecting a tonal signal in a noise background, i.e., simultaneous masking. It is unresolved whether the mechanisms underlying simultaneous masking arise from the auditory periphery or from the central auditory system. Poor detection in listeners with sensorineural hearing loss (SNHL) is attributed to cochlear hair cell damage. However, hearing loss alters neural processing in the central auditory system. Additionally, both psychophysical and neurophysiological data from normally hearing and impaired listeners suggest that there are additional contributions to simultaneous masking that arise centrally. With SNHL, it is difficult to separate peripheral from central contributions to signal detection deficits. We have thus excluded peripheral contributions by using an animal model of early conductive hearing loss (CHL) that provides auditory deprivation but does not induce cochlear damage. When tested as adults, animals raised with CHL had increased thresholds for detecting tones in simultaneous noise. Furthermore, intracellular in vivo recordings in control animals revealed a cortical correlate of simultaneous masking: local cortical processing reduced tone-evoked responses in the presence of noise. This raises the possibility that altered cortical responses which occur with early CHL can influence even simple signal detection in noise.

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“…The lower rate of sensorineural hearing loss was supported by Cone et al (2010), but the lower rate of mixed hearing loss was not supported by Cone et al (2010). Reports on the rates of laterality were variable across Driscoll, Kei and McPherson (2001), Cone et al (2010) and Keogh et al (2010) for conductive hearing losses, were reported as being equal by Driscoll et al (2001) for sensorineural hearing loss, and were under-reported for mixed hearing loss.…”

Section: Prevalence Of Peripheral Hearing Loss In Australian Primary mentioning

confidence: 85%

“…These rates were drawn from three potential estimates reported by various authors. Driscoll, Kei, and McPherson (2001) (Cone et al, 2010;Driscoll et al, 2001;Keogh et al, 2010), while the lowest rate of the type and degree of hearing loss was reported to be mixed and sensorineural hearing losses (Cone et al, 2010;Keogh et al, 2010).…”

Section: Prevalence Of Peripheral Hearing Loss In Australian Primary mentioning

confidence: 97%

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Evaluating auditory function in primary school children with learning difficulties in Australia

Choi

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Children who experience poor academic performance at school have been described as having learning difficulties (LD). These children are thought to show reduced performances in reading, written language and numeracy, and to be inactive and inefficient learners. Hearing is one of several factors thought to influence a child's learning at school with students spending at least 45% of their classroom activities that require listening and 45 to 75% of their time in the classroom comprehending their teachers' and classmates' speech. Hearing impairment can include loss of hearing sensitivity and/or impaired auditory processing (AP). While rates of peripheral hearing loss (PHL) in the Australian primary school-aged population is estimated to be between 3.4% and 12.8%, rates of impaired AP in this population are not available in Australia. Children with PHL and/or impaired AP often show behaviours similar to those reported in children with LD, suggesting that LD and hearing impairment could be related in primary school child populations. The present thesis aimed to investigate LD and hearing impairment in a schoolaged child population in the greater Brisbane region of Queensland, Australia. The thesis considered two main research questions: (1) Do children with LD have higher rates of impaired hearing and/or impaired AP compared with typically developing (TD) children?; and (2) What models might best explain any relationships between LD and hearing impairment? The first study chapter conducted a systematic review where the rate of PHL in the general primary school child population in Australia was considered. A search of five electronic databases yielded three studies that had quantitatively reported the PH results of screening and follow-up assessment of hearing in primary school children in Australia. The review concluded that the overall rate estimate of PHL in the primary school child population in Australia was between 3.4% and xii Financial Support

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Children with Minimal Conductive Hearing Impairment: Speech Comprehension in Noise

Cited by 26 publications

References 48 publications

Improving speech-in-noise recognition for children with hearing loss: Potential effects of language abilities, binaural summation, and head shadow

Improving speech-in-noise recognition for children with hearing loss: Potential effects of language abilities, binaural summation, and head shadow

Developmental hearing loss impairs signal detection in noise: putative central mechanisms

Evaluating auditory function in primary school children with learning difficulties in Australia

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