Evidence map›Paper›PMID 41057448›Full record

ArticleScientific reports2025

Auditory-cognitive contributions to speech-in-noise perception determined with structural equation modelling of a large sample.

Ester Benzaquén, Hasan Çolak, Xiaoxuan Guo, Meher Lad, Steven P Rushton, Timothy D Griffiths

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ester BenzaquénBiosciences Institute, Newcastle University, Newcastle Upon Tyne, UK. ester.benzaquen@newcastle.ac.uk.
Hasan ÇolakBiosciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
Xiaoxuan GuoBiosciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
Meher LadTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Steven P RushtonSchool of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Timothy D GriffithsBiosciences Institute, Newcastle University, Newcastle Upon Tyne, UK.

Funding

Medical Research Council MR/T032553/1
6 · The paper itself

Abstract

Problems understanding speech-in-noise (SIN) are commonly associated with peripheral hearing loss. But pure tone audiometry (PTA) alone fails to fully explain SIN ability. This is because SIN perception is based on complex interactions between peripheral hearing, central auditory processing (CAP) and other cognitive abilities. We assessed interaction between these factors and age using a multivariate approach that allows the modelling of directional effects on theoretical constructs: structural equation modelling. We created a model to explain SIN using latent constructs for sound segregation, auditory (working) memory, and SIN perception, as well as PTA, age, and measures of non-verbal reasoning. In a sample of 207 participants aged 18-81 years old, age was the biggest determinant of SIN ability, followed by auditory memory. PTA did not contribute to SIN directly, although it modified sound segregation ability, which covaried with auditory memory. A second model, using a CAP latent structure formed by measures of sound segregation, auditory memory, and temporal processing, revealed CAP to be the largest determinant of SIN ahead of age. Furthermore, we demonstrated the impact of PTA and non-verbal reasoning on SIN are mediated by their influence on CAP. Our results highlight the importance of central auditory processing in speech-in-noise perception.

Indexed as

Auditory PerceptionCognitionNoiseSpeech PerceptionAdolescentAdultAgedAged, 80 and overAudiometry, Pure-ToneFemaleHumansLatent Class AnalysisMaleMemory, Short-TermMiddle AgedYoung AdultAgeingAuditory processingAuditory working memorySpeech-in-noiseStructural equation modelling

Identifiers

PMID41057448
PMCPMC12504659

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.