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老年人中使用和不使用频率压缩时辅助言语识别的预测因素。

Predictors of aided speech recognition, with and without frequency compression, in older adults.

作者信息

Ellis Rachel J, Munro Kevin J

机构信息

School of Psychological Sciences, University of Manchester , UK.

出版信息

Int J Audiol. 2015 Jul;54(7):467-75. doi: 10.3109/14992027.2014.996825. Epub 2015 Mar 9.

Abstract

OBJECTIVE

The aim was to investigate whether cognitive and/or audiological measures predict aided speech recognition, both with and without frequency compression (FC).

DESIGN

Participants wore hearing aids, with and without FC for a total of 12 weeks (six weeks in each signal processing condition, ABA design). Performance on a sentence-in-noise recognition test was assessed at the end of each six-week period. Audiological (severity of high frequency hearing loss, presence of dead regions) and cognitive (reading span and trail making test scores) measures were obtained and assessed as predictors of sentence-in-noise recognition with and without FC enabled.

STUDY SAMPLE

Twelve experienced hearing-aid users (aged 65-84 years old) with moderate-to-severe high-frequency hearing loss took part in the study.

RESULTS

The results suggest that both auditory and cognitive factors can be predictive of sentence-in-noise recognition with conventional amplification. However, only auditory factors were significantly correlated with the degree of benefit obtained from FC.

CONCLUSIONS

The strongest predictor of aided speech recognition, both with and without FC, was high frequency hearing loss. Cognitive performance was also a predictor of benefit from conventional amplification, but not of additional benefit from the use of FC.

摘要

目的

旨在研究认知和/或听力学指标能否预测在有和没有频率压缩(FC)情况下的助听言语识别能力。

设计

参与者佩戴助听器,分别处于有FC和无FC状态,共12周(每种信号处理状态持续六周,采用ABA设计)。在每六周结束时评估噪声中句子识别测试的表现。获取听力学指标(高频听力损失的严重程度、死区的存在情况)和认知指标(阅读广度和连线测验分数),并将其作为开启和未开启FC时噪声中句子识别的预测指标进行评估。

研究样本

12名有经验的助听器使用者(年龄在65 - 84岁之间),患有中度至重度高频听力损失,参与了本研究。

结果

结果表明,听觉和认知因素均可预测传统放大情况下的噪声中句子识别能力。然而,只有听觉因素与从FC中获得的益处程度显著相关。

结论

无论有无FC,助听言语识别的最强预测指标是高频听力损失。认知表现也是传统放大带来益处的预测指标,但不是使用FC带来额外益处的预测指标。

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