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Record W2028044868 · doi:10.3766/jaaa.22.2.3

Behavioral Bone-Conduction Thresholds for Infants with Normal Hearing

2011· article· en· W2028044868 on OpenAlexaff
Lauren Rachel Hulecki, Susan A. Small

Bibliographic record

VenueJournal of the American Academy of Audiology · 2011
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAudiologyBone conductionMedicineAudiometryPsychologyHearing loss

Abstract

fetched live from OpenAlex

BACKGROUND: Bone-conduction thresholds have been used in audiologic assessments of both infants and adults to differentiate between conductive and sensorineural hearing losses. However, air- and bone-conduction thresholds estimated for infants with normal hearing using physiological measures have identified an "air-bone gap" in the low frequencies that does not result from conductive hearing impairment but, rather, from maturational differences in sensitivity. This maturational air-bone gap appears to be present up to at least 2 yr of age. Because most infants older than 6 mo of age are clinically assessed behaviorally, rather than physiologically, it is necessary to determine whether a similar maturational air-bone gap is present for behavioral air- and bone-conduction thresholds. PURPOSE: The purpose of this study was to estimate behavioral bone-conduction thresholds for infants using a standard clinical visual reinforcement audiometry (VRA) protocol to determine whether frequency-dependent maturational patterns exist as previously reported for physiological bone-conduction thresholds. RESEARCH DESIGN: Behavioral bone-conduction minimum response levels were estimated at 500, 1000, 2000, and 4000 Hz using VRA for each participant. STUDY SAMPLE: Young (7-15 mo; N = 17) and older (18-30 mo; N = 20) groups of infants were assessed. All infants were screened and considered to be at low risk for hearing loss. DATA COLLECTION AND ANALYSIS: Preliminary "normal levels" were determined by calculating the 90th percentile for responses present as a cumulative percentage. Mean bone-conduction thresholds were compared and analyzed using a mixed-model analysis of variance across frequency and age group. Linear regression analysis was also performed to assess the effect of age on bone-conduction thresholds. RESULTS: Results of this study indicate that, when measured behaviorally, infants under 30 mo of age show frequency-dependent bone-conduction thresholds whereby their responses at 500 and 1000 Hz are significantly better than those at 2000 and 4000 Hz. However, thresholds obtained from the younger group of infants (mean age of 10.6 mo) were not significantly different from those obtained from the older group of infants (mean age of 23.0 mo) at any frequency. CONCLUSIONS: The findings of the present study are similar to the results obtained from previous physiological studies. Compared to previously documented air-conduction thresholds of infants using similar VRA techniques, a maturational air-bone gap is observed in the low frequencies. Therefore, differences between infant and adult bone-conduction thresholds persist until at least 30 mo of age. As a result, different "normal levels" should be used when assessing bone-conduction hearing sensitivity of infants using behavioral methods.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.130
GPT teacher head0.352
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), 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

Citations23
Published2011
Admission routes1
Has abstractyes

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