Factors underlying the speech-recognition performance of elderly hearing-aid wearers

Area of Science:

• Audiology
• Gerontology
• Speech-Language Pathology

Background:

• Elderly individuals often experience hearing loss, impacting speech recognition.
• Hearing aids are commonly used to mitigate these effects.
• Predicting speech recognition performance is crucial for effective hearing aid fitting.

Purpose of the Study:

• To evaluate aided and unaided speech recognition in elderly hearing aid wearers.
• To identify predictors of speech recognition performance.
• To compare different prediction methods, including the Speech Intelligibility Index (SII) and linear regression.

Main Methods:

• 171 elderly hearing aid wearers were evaluated using a standard protocol.
• Measures included aided/unaided speech recognition, auditory function (physiological and perceptual), and cognitive function.
• Speech Intelligibility Index (SII) and linear regression analyses were used for prediction.

Main Results:

• The study group was representative of the typical elderly population with hearing loss.
• Linear regression analysis was the most successful prediction method.
• Hearing loss and cognitive function measures accounted for two-thirds of the variance in speech recognition.

Conclusions:

• Hearing loss and cognitive function are key predictors of speech recognition in elderly hearing aid users.
• Linear regression offers a robust approach for predicting speech recognition performance.
• These findings can inform better hearing aid fitting and rehabilitation strategies.