American Journal of Audiology最新文献

Purpose: This study aims to evaluate the effect of auditory neuropathy spectrum disorder (ANSD) on postoperative auditory perception and listening difficulties in pediatric cochlear implant (CI) recipients.

Method: The Children's Auditory Perception Test (CAPT) assesses auditory perception skills, and the Children's Home Inventory of Listening Difficulties (CHILD) Scale evaluates daily listening difficulties. The study involved pediatric CI recipients (n = 40) aged between 5 and 7 years, with and without diagnosis of ANSD. The research ensured homogeneity across various factors, including chronological age, age at diagnosis, age at initial implantation, bilateral simultaneous surgery, etiologies of hearing loss, and family education level.

Results: The findings have demonstrated that children without ANSD exhibited better performance in integrating visual-auditory stimuli and overall listening performance, distant sound source scores, and noisy environment scores (respectively p = .047, p = .001, p = .028, and p = .010). Additionally, children with better speech perception also have a better ability to integrate audiovisual stimuli (p = .005, r = .438).

Conclusions: There are significant differences in postoperative listening skills and auditory perceptions between children with and without an ANSD who have CIs. Accordingly, children without an ANSD perform better.

Objective: Phone- and tablet-based hearing testing systems are now widely available. Here, we evaluated one such system from TympaHealth by comparing air conduction thresholds and resultant hearing aid targets and output, measured with the TympaHealth system with those measured using standard audiometry.

Design: The hearing thresholds of 35 adults were measured using standard audiometry and the TympaHealth system. Each set of thresholds was used to generate NAL-NL2 targets and program a hearing aid. The data from each system were compared.

Results: Bland-Altman analyses showed overall mean differences between thresholds measured with each system to be small, with 85% of TympaHealth thresholds being within ±5 dB of the standard audiometric thresholds, although TympaHealth thresholds were higher (poorer) than the standard audiometric thresholds. The hearing aid targets and gains generated from the standard audiometric thresholds were lower (less amplification) than those generated from the TympaHealth thresholds but again, mean differences at each frequency were small and likely imperceptible.

Conclusion: These findings support the possibility that valid hearing testing can take place outside of a clinical booth using portable systems like that from TympaHealth, opening up the possibility of testing hearing and fitting hearing aids through pharmacies, opticians, and in care homes.

Purpose: Equitable representation of children with hearing loss who are members of marginalized or minority groups in behavioral intervention studies enhances inclusivity in the scientific process and generalizability of results. The goal of this systematic review was to ascertain the percentage of studies conducted in the United States in the past 2 decades that reported relevant demographic variables.

Method: Studies were searched across eight databases and clinical trial registries in October 2022. Variations of the following search strings were used to retrieve peer-reviewed published studies and unpublished clinical trials: children, hearing loss, and intervention.

Results: Thirty-nine intervention studies met the inclusion criteria. The selected studies were reviewed and coded for the following demographic variables: area and type of intervention, participant age, hearing technology data, sample size, gender, race/skin color and ethnicity, primary/home language(s), additional disabilities, parental education, family income, and parental occupation. Results revealed that many demographic variables were remarkably underreported, with parental education, family income, and parental occupation variables being the least reported data.

Conclusions: Demographic data can be an important tool for changing disparities related to intervention outcomes. This systematic review suggests that inclusive research practices should be extended to low-literacy or low-economic resources, non-White, and non-English-speaking groups. Inclusion practices coupled with sufficient sample sizes will ultimately aid in identifying hearing health disparities.

Purpose: This study explored user perspectives on the relationship between hearing aid cost and uptake, as well as cost-related recommendations for others with hearing difficulties, in a sample of prescription and over-the-counter (OTC) hearing aid users.

Method: A secondary analysis was conducted on a cross-sectional survey using qualitative content analysis to analyze responses related to the cost of hearing aids. The study included a total of 241 adult participants, comprising 179 prescription hearing aid users from the Hearing Tracker website and 62 OTC hearing aid users from the Lexie Hearing U.S. database.

Results: Prescription users had a mean age of 66.7 years (SD = 13.2), including 62.0% males, 37.4% females, and 0.6% nonbinary individuals. OTC users had a mean age of 63.0 years (SD = 13.4), with 48.4% males and 51.6% females. Three overarching domains were identified: perceived enablers to hearing aid uptake related to the cost, perceived barriers to hearing aid uptake related to the cost, and recommendations to others with hearing difficulties related to the cost, with 14 categories recognized for prescription users and 12 for OTC users. Both groups identified the high cost of hearing aids and lack of insurance coverage as significant barriers to uptake. Many prescription users reported external support (e.g., financial support and health insurance coverage) as an enabler, while OTC users frequently mentioned the affordability of OTC devices. The most common recommendation among prescription users was to seek professional support, whereas OTC users recommended researching hearing aids before making a purchase.

Conclusions: Cost and insurance coverage consistently emerge as primary barriers to hearing aid adoption for both prescription and OTC users. To foster greater accessibility, initiatives should target these financial obstacles. Additional research is warranted on the relationship between hearing aid cost and uptake, especially among OTC users and those seeking financial assistance.

Supplemental material: https://doi.org/10.23641/asha.26496922.

Purpose: Population-based evidence in the interrelationships among hearing, brain structure, and cognition is limited. This study aims to investigate the cross-sectional associations of peripheral hearing, brain imaging measures, and cognitive function with speech-in-noise performance among older adults.

Method: We studied 602 participants in the Aging and Cognitive Health Evaluation in Elders (ACHIEVE) brain magnetic resonance imaging (MRI) ancillary study, including 427 ACHIEVE baseline (2018-2020) participants with hearing loss and 175 Atherosclerosis Risk in Communities Neurocognitive Study Visit 6/7 (2016-2017/2018-2019) participants with normal hearing. Speech-in-noise performance, as outcome of interest, was assessed by the Quick Speech-in-Noise (QuickSIN) test (range: 0-30; higher = better). Predictors of interest included (a) peripheral hearing assessed by pure-tone audiometry; (b) brain imaging measures: structural MRI measures, white matter hyperintensities, and diffusion tensor imaging measures; and (c) cognitive performance assessed by a battery of 10 cognitive tests. All predictors were standardized to z scores. We estimated the differences in QuickSIN associated with every standard deviation (SD) worse in each predictor (peripheral hearing, brain imaging, and cognition) using multivariable-adjusted linear regression, adjusting for demographic variables, lifestyle, and disease factors (Model 1), and, additionally, for other predictors to assess independent associations (Model 2).

Results: Participants were aged 70-84 years, 56% female, and 17% Black. Every SD worse in better-ear 4-frequency pure-tone average was associated with worse QuickSIN (-4.89, 95% confidence interval, CI [-5.57, -4.21]) when participants had peripheral hearing loss, independent of other predictors. Smaller temporal lobe volume was associated with worse QuickSIN, but the association was not independent of other predictors (-0.30, 95% CI [-0.86, 0.26]). Every SD worse in global cognitive performance was independently associated with worse QuickSIN (-0.90, 95% CI [-1.30, -0.50]).

Conclusions: Peripheral hearing and cognitive performance are independently associated with speech-in-noise performance among dementia-free older adults. The ongoing ACHIEVE trial will elucidate the effect of a hearing intervention that includes amplification and auditory rehabilitation on speech-in-noise understanding in older adults.

Supplemental material: https://doi.org/10.23641/asha.25733679.

Purpose: Specific learning disorder (SLD) refers to a pattern of learning difficulties characterized by problems with reading, writing, or mathematics that are not solely due to intellectual disabilities, sensory deficits, or other neurological or medical conditions. It is a neurodevelopmental disorder that affects the processing and organizing of information. Auditory and cognitive processing is affected in most children with SLD, although to a varying degree. However, it is still unclear whether there exists any relationship between auditory and cognitive processing disorders in children with SLD.

Method: We tested 1,259 children, of whom 77 were diagnosed as SLD and 30 age- and gender-matched typically developing (TD) children were selected. Auditory processing abilities were assessed for auditory discrimination, pattern perception, closure, temporal processing, binaural integration, and separation using standardized tests and procedures. Cognitive processing was measured using working memory, short-term memory, and attention tasks.

Results: The test data of the TD children were taken as the norm. Based on the normative range, children with SLD were divided into those with auditory processing disorder (APD; n = 31) and those without APD (n = 46). A regression model highlighted a robust positive relationship between APD and cognitive processing, particularly pronounced in SLD with APD children. The results are discussed, supporting the information-processing theory of learning disability and highlighting a complex loop between auditory and cognitive deficits in children with SLD.

Conclusions: The findings underscore the critical role of both auditory and cognitive abilities in children with SLD. Tailoring the intervention to break the loop is recommended, which may improve learning abilities more effectively.

Purpose: Spatial hearing is necessary for adequate sound awareness and speech perception abilities; however, research indicates that children have difficulties on these spatial hearing tasks that affect functioning in their daily environment. The purpose of this study was to validate a pediatric version of the Spatial Hearing Questionnaire (P-SHQ) for determining binaural hearing benefits and spatial hearing ability in children.

Method: We recruited parents and guardians of 68 children ages kindergarten through eighth grade to participate. Parents completed the P-SHQ, the Speech, Spatial and Qualities of Hearing Scale-Parent version, and a demographic questionnaire. To determine the factor structure of the P-SHQ, we conducted an exploratory factor analysis and reliability was assessed by calculating correlation coefficients.

Results: Three factors emerged during factor analysis: Factor 1 = sound localization, Factor 2 = speech-in-noise perception, and Factor 3 = speech perception in quiet. The P-SHQ has good internal consistency reliability (α = .97), and high item-total correlations were found. The correlation between scores from the P-SHQ questionnaire and the SSQ-Spatial subscale questionnaire provides evidence for the construct validity of the P-SHQ.

Conclusions: The P-SHQ is a reliable and valid questionnaire to assess spatial hearing ability in children. This quick-to-administer tool can be incorporated into audiological care to determine the spatial hearing skills of a child and assist in counseling, making it a valuable assessment for hearing health care professionals.

Purpose: Impairments of hearing and auditory processing (AP) have been indicated as risk factors for dementia, but it remains unclear if persons with clinically diagnosed mild cognitive impairment (MCI) show such impairments. The objective of these analyses was to compare AP between those with and without a clinical diagnosis of MCI using a battery of AP measures.

Method: Data from 274 older adults from the Keys to Staying Sharp randomized clinical trial (NCT03528486) were analyzed. A battery of AP measures in which three domains (temporal processing, binaural processing, and degraded speech understanding) were addressed by six tests was administered. Analyses were registered at https://osf.io/nga4v.

Results: Those with and without a clinical diagnosis of MCI differed significantly in age, p = .002; pure-tone hearing in the left ear, p = .007; sex, p = .015; and race, p < .001. These covariates were included in multivariate analysis of covariance, which indicated significant differences between persons with and without MCI on measures of binaural processing (ps ≤ .006), but not on measures of temporal processing or degraded speech (ps ≥ .093). Pure-tone hearing averages did not significantly differ among those with or without MCI after adjusting for age, sex, and race (ps ≥ .292).

Conclusions: AP in the binaural domain is impaired in MCI, but peripheral hearing did not significantly differ between those with and without MCI. Poor performance on AP measures of binaural processing may reflect problems dividing attention and may be indicative of dementia risk. Results have clinical implications for early detection of and intervention for cognitive impairment.

Purpose: Most modern hearing aids (HAs) employ wide dynamic range compression (WDRC) and noise reduction (NR) algorithms. It is known that the nonlinear effects of WDRC and NR cause changes to the output signal-to-noise ratio (SNR) of an HA. However, the relative contributions of WDRC and NR to the nonlinear effects are not fully understood. The current study investigated (a) whether WDRC or NR dominates the nonlinear effects measured at the output of a digital HA and (b) whether the electroacoustic effectiveness of NR depends on WDRC parameters while input SNR and background noise are systematically varied.

Method: Test stimuli were Connected Speech Test sentences in multitalker babble noise (2- or 20-talker), presented at input SNRs ranging from -10 to +10 dB. The HA was programmed using multiband WDRC set according to the National Acoustic Laboratories for Nonlinear HA fitting formula 2 prescriptive fits for four standard audiograms and two compression speeds. The NR algorithm of the HA was switched on or off in separate conditions. Nonlinear electroacoustic effects from the WDRC and NR algorithms were assessed by measuring the output SNR of the HA using a phase-inversion technique. To investigate whether there are other factors that may be important besides the output SNR, the Hearing Aid Speech Intelligibility Index and the Hearing Aid Speech Quality Index were applied to the recordings to generate inferences on aided speech intelligibility and perceived speech quality.

Results: Results showed that WDRC dominated the net nonlinear effect at low-input SNRs, and the net nonlinear effect of WDRC and NR was reduced at high-input SNRs. Results also showed that the effectiveness of NR depended on compression parameters. The effectiveness of NR was partially explained by the trend of Hearing Aid Speech Intelligibility Index and Hearing Aid Speech Quality Index scores, potentially indicating that the Hearing Aid Speech Intelligibility Index and Hearing Aid Speech Quality Index scores may capture factors that cannot be captured by the output SNR metric.

Conclusions: Results suggest that the individual signal-processing stages in an HA should not be considered as independent. Electroacoustic evaluation of WDRC and NR algorithms in isolation is not sufficient to capture the combined nonlinear effect of the two algorithms.

Supplemental material: https://doi.org/10.23641/asha.25962541.