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Record W7116950374 · doi:10.1016/j.ssci.2025.107098

Analysis of the functional and acoustical comfort of earplugs experienced by a group of workers in Canadian companies and identification of the influencing variables

2025· article· en· W7116950374 on OpenAlex
Bastien Poissenot-Arrigoni, Olivier Doutres, Alessia Negrini, Djamal Berbiche, Franck Sgard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSafety Science · 2025
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsSanté MontérégieInstitut de recherche Robert-Sauvé en santé et en sécurité du travailÉcole de Technologie Supérieure
FundersMitacsInstitut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail
KeywordsIdentification (biology)Noise (video)Poison controlHuman factors and ergonomicsPerceptionHearing lossOccupational safety and healthInjury prevention

Abstract

fetched live from OpenAlex

Earplugs are essential for hearing protection in noisy workplaces, but their effectiveness depends heavily on user comfort, which influences proper and consistent use. This study explores functional and acoustical comfort experienced by 173 workers across Canadian companies, each testing different ’disposable or reusable’ earplug models over seven weeks. Comfort is assessed using detailed questionnaires covering six subdimensions: ease of insertion and removal, noise protection, impact on work, and discomfort related to internal and external noise perception. Linear mixed-effects models are applied within a triad framework encompassing person-, earplug-, and environment-related characteristics in order to identify those with a significant influence on functional and acoustical comfort. Results show that person-related variables are the most influential. Handedness, hearing loss, and prior HPD experience significantly impact comfort, with left-handed participants reporting greater insertion and removal discomfort—possibly due to earcanal asymmetry and dexterity differences. Several earcanal morphological features also play a role, including isoperimetric ratios, circumference at multiple cross-sections, conicity, and length. Only a few earplug-specific characteristics influence comfort outcomes. Foam expansion time is linked to reduced acoustical discomfort associated with the perception of internal sounds, while stem presence improves insertion ease. Environmental factors do not have significant effects. In the longer term, these findings call for a rethinking of the design and selection of ’disposable or reusable’ earplugs, primarily based on earcanal morphology and users’ past experience. The study also underscores the need for improved objective metrics to assess comfort and supports the development of more personalized hearing protection solutions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.261
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it