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Record W4293102280 · doi:10.1097/aud.0000000000001271

Subjective Impact of Age-Related Hearing Loss Is Worse for Those Who Routinely Experience Boredom and Failures of Attention

2022· article· en· W4293102280 on OpenAlexaffabout
Carolyn Crawford, Kalisha Ramlackhan, Gurjit Singh, M. Fenske

Bibliographic record

VenueEar and Hearing · 2022
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsToronto Metropolitan UniversityUniversity of TorontoUniversity of Guelph
Fundersnot available
KeywordsHearing lossBoredomActive listeningAudiologyPsychologyAudiogramPresbycusisHearing aidCognitionMedicinePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Despite extensive evidence supporting the benefits of hearing treatments for individuals affected by hearing loss, many leave their hearing issues unaddressed. This underscores the need to better understand the individual factors influencing decision-making regarding hearing loss treatments. One consideration regarding the low uptake of treatment is the finding that the subjective impact of hearing loss is greater for some individuals than for others, yielding a significant discrepancy between subjective measures of hearing loss (e.g., self-report hearing-handicap scales) and objective audiometric assessments (e.g., audiograms). The current study seeks to elucidate some of the cognitive-affective factors that give rise to these individual differences in the subjective impact of hearing loss. Specifically, we hypothesized that a stronger trait tendency to experience boredom would be correlated with more intensely negative experiences of hearing-related issues, and that this relationship would be mediated by underlying attentional difficulties. METHODS: Through a partnership with hearing care clinics (Connect Hearing Canada), we recruited a large sample of older adults (n = 1840) through their network of hearing-care clinics. Audiometric thresholds provided an objective measure of hearing ability for each participant, while self-report questionnaires assessed individual differences in the subjective impact of hearing-related issues (hearing handicap), subjective strain experienced when listening (listening effort), tendency to experience boredom, tendency to experience difficulty maintaining task-focused attention (mind-wandering), and self-perceived level of cognitive functioning. RESULTS: The subjective impact of hearing loss-both in terms of hearing handicap and strain when listening-was found to be more intensely negative for those who are characteristically more susceptible to experiencing boredom, and this relationship was shown to be mediated by self-reported differences in the ability to maintain task-focused attention. This relationship between trait boredom proneness and the subjective impact of hearing-related issues was evident across all levels of objective hearing abilities. Moreover, there was no evidence that the subjective impact of hearing loss is worse for those who routinely experience boredom because of objectively-poorer hearing abilities in those individuals. CONCLUSIONS: A greater trait susceptibility to experiencing boredom was associated with a more aversive subjective experience of hearing loss, and this relationship is mediated by attentional difficulties. This is a novel discovery regarding the cognitive-affective factors that are linked to individual differences in the effect that hearing loss has on individuals' daily functioning. These results may be helpful for better understanding the determinants of hearing-rehabilitation decisions and how to improve the uptake of treatments for hearing loss. The observational nature of the current study restricts us from drawing any definitive conclusions about the casual directions among the factors being investigated. Further research is therefore needed to establish how individual differences in the characteristic tendency to experience boredom are related to attentional-control difficulties and the experience of hearing-related issues. More research is also required to determine how all of these factors may influence decisions regarding hearing-loss treatments.

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.

How this classification was reachedexpand

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.035
GPT teacher head0.314
Teacher spread0.279 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2022
Admission routes2
Has abstractyes

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