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Updated: Jan 17, 2026
Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
Published on: January 25, 2016
Relationships Between Self-Report Hearing Scales, Listening Effort, and Speech Perception in Cocktail Party Noise in
Annie Moulin1, Pierre-Emmanuel Aguera2, Mathieu Ferschneider1,3
1C. Bernard University, Lyon 1, Inserm U1028, CNRS UMR 5292, Lyon Neuroscience Research Center, Perception, Attention and Memory Team (PAM), F-69 000 Lyon, France.
Background/Objectives:
Potential correlations between the scores of self-report questionnaires and speech perception in noise abilities vary widely among studies and have been little explored in patients with conventional hearing aids (HAs). This study aimed to analyse the interrelations between (1) self-report auditory scales (the 15-item short-form of the Speech Spatial and Qualities of Hearing Scale (15iSSQ) and the Extended Listening Effort Assessment Scale (EEAS); (2) speech perception in cocktail party noise, measured with and without HAs; and (3) a self-assessment of the listening effort perceived during the speech in a noise-perception task (TLE) in hearing-aid wearers.
Material And Methods:
-Thirty-two patients, aged of 77.5 years (SD = 12) with a mean HA experience of 5.6 years, completed the 15iSSQ and EEAS. Their speech-in-babble-noise perception thresholds (SPIN) were assessed with (HA_SPIN) and without their HAs (UA_SPIN), using a four-alternative forced-choice test in free field, with several fixed Signal to Noise ratios (SNR). They were asked to self-assess their listening effort at each of those SNRs, allowing us to define a task-related listening-effort threshold with (HA_TLE) and without HAs (UA_TLE), i.e., the SNR for which they self-evaluated their listening effort as 5 out of 10.
Results:
15iSSQ decreased as both HA_SPIN (r = -0.47, p < 0.01) and HA_TLE increased (r = -0.36, p < 0.05). The relationship between 15iSSQSpeech and UA_SPIN (and UA_TLE) showed a strong moderating influence by HA experience and HA daily wear (HADW), explaining up to 31% of the variance. 15iSSQQuality depended on HA SPIN and HA_TLE (r = -0.50, p < 0.01), and the relationship between 15iSSQQuality and UA_TLE was moderated by HADW. EEAS scores depended on both HA experience and UA_SPIN, with a strong moderating influence by HADW.
Conclusions:
Relationships between auditory questionnaires and SPIN are strongly moderated by both HA experience and HADW, even in experienced HA users, showing the need to account for these variables when analysing relationships between questionnaires and hearing-in-noise tests in experienced HA wearers.
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