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Auditory and Non-Auditory Contributions for Unaided Speech Recognition in Noise as a Function of Hearing Aid Use

机译:听觉和非听觉对噪声中助听器语音识别的贡献与助听器功能的关系

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摘要

Differences in understanding speech in noise among hearing-impaired individuals cannot be explained entirely by hearing thresholds alone, suggesting the contribution of other factors beyond standard auditory ones as derived from the audiogram. This paper reports two analyses addressing individual differences in the explanation of unaided speech-in-noise performance among n = 438 elderly hearing-impaired listeners (mean = 71.1 ± 5.8 years). The main analysis was designed to identify clinically relevant auditory and non-auditory measures for speech-in-noise prediction using auditory (audiogram, categorical loudness scaling) and cognitive tests (verbal-intelligence test, screening test of dementia), as well as questionnaires assessing various self-reported measures (health status, socio-economic status, and subjective hearing problems). Using stepwise linear regression analysis, 62% of the variance in unaided speech-in-noise performance was explained, with measures Pure-tone average (PTA), Age, and Verbal intelligence emerging as the three most important predictors. In the complementary analysis, those individuals with the same hearing loss profile were separated into hearing aid users (HAU) and non-users (NU), and were then compared regarding potential differences in the test measures and in explaining unaided speech-in-noise recognition. The groupwise comparisons revealed significant differences in auditory measures and self-reported subjective hearing problems, while no differences in the cognitive domain were found. Furthermore, groupwise regression analyses revealed that Verbal intelligence had a predictive value in both groups, whereas Age and PTA only emerged significant in the group of hearing aid NU.
机译:仅听觉阈值不能完全解释听障人士对噪声的理解语音差异,这暗示了从听力图得出的标准听觉因素以外的其他因素的作用。本文报告了两种分析方法,分别针对n = 438名听力受损的老年听众(平均= 71.1±5.8岁)中对无助语语音性能解释的个体差异进行了分析。主要分析旨在确定使用听觉(听力图,分类响度缩放)和认知测验(言语智力测验,痴呆症筛查测验)以及问卷调查来进行临床上相关的听觉和非听觉测量,以进行语音中的语音预测评估各种自我报告的措施(健康状况,社会经济状况和主观听力问题)。使用逐步线性回归分析,可以解释62%的无声语音性能方差,其中纯音平均(PTA),年龄和言语智力指标成为三个最重要的预测指标。在补充分析中,将具有相同听力损失特征的那些人分为助听器使用者(HAU)和非使用者(NU),然后比较测试方法中的潜在差异以及解释无助于噪声的言语承认。分组比较显示听觉措施和自我报告的主观听力问题存在显着差异,而认知领域无差异。此外,分组回归分析显示,语言智能在两组中均具有预测价值,而年龄和PTA仅在助听器NU组中显着。

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