MétaCan
Menu
Retour à la cohorte
Enregistrement W2005289780 · doi:10.3766/jaaa.23.2.2

Age Affects Responses on the Speech, Spatial, and Qualities of Hearing Scale (SSQ) by Adults with Minimal Audiometric Loss

2012· article· en· W2005289780 sur OpenAlexafffund
Jessica Banh, Gurjit Singh, M. Kathleen Pichora‐Fuller

Notice bibliographique

RevueJournal of the American Academy of Audiology · 2012
Typearticle
Langueen
DomaineNeuroscience
ThématiqueHearing Loss and Rehabilitation
Établissements canadiensUniversity of Toronto
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésAudiogramAudiologyActive listeningHearing lossPsychologyCognitionHearing aidAudiometryMedicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Age-related declines in auditory and cognitive processing may contribute to the difficulties with listening in noise that are often reported by older adults. Such difficulties are reported even by those who have relatively good audiograms that could be considered "normal" for their age (ISO 7029-2000 [ISO, 2000]). The Speech, Spatial, and Qualities of Hearing Scale (SSQ; Gatehouse and Noble, 2004) is a questionnaire developed to measure a listener's self-reported ability to hear in a variety of everyday situations, such as those that are challenging for older adults, and it can provide insights into the possible contributions of auditory and cognitive factors to their listening difficulties. The SSQ has been shown to be a sensitive and reliable questionnaire to detect benefits associated with the use of different hearing technologies and potentially other forms of intervention. Establishing how age-matched listeners with audiograms "normal" for their age rate the items on the SSQ could enable an extension of its use in audiological assessment and in setting rehabilitative goals. PURPOSE: The main purpose of this study was to investigate how younger and older adults who passed audiometric screening and who had thresholds considered to be "normal" for their age responded on the SSQ. It was also of interest to compare these results to those reported previously for older listeners with hearing loss in an attempt to tease out the relative effects of age and hearing loss. STUDY SAMPLE: The SSQ was administered to 48 younger (mean age = 19 yr; SD = 1.0) and 48 older (mean age = 70 yr, SD = 4.1) adults with clinically normal audiometric thresholds below 4 kHz. The younger adults were recruited through an introductory psychology course, and the older adults were volunteers from the local community. DATA COLLECTION AND ANALYSIS: Both age groups completed the SSQ. The differences between the groups were analyzed. Correlations were used to compare the pattern of results across items for the two age groups in the present study and to assess the relationship between SSQ scores and objective measures of hearing. Comparisons were also made to published results for older adults with hearing loss. RESULTS: The pattern of reported difficulty across items was similar for both age groups, but younger adults had significantly higher scores than older adults on 42 of the 46 items. On average, younger adults scored 8.8 (SD = 0.6) out of 10 and older adults scored 7.7 (SD = 1.2) out of 10. By comparison, scores of 5.5 (SD = 1.9) have been reported for older adults (mean age = 71 yr, SD = 8.1) with moderate hearing loss (Gatehouse and Noble, 2004). CONCLUSIONS: By establishing the best scores that could reasonably be expected from younger and older adults with "normal" hearing thresholds, these results provide clinicians with information that should assist them in setting realistic targets for interventions for adults of different ages.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,650
Score d'incertitude au seuil0,715

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,036
Tête enseignante GPT0,319
Écart entre enseignants0,283 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations94
Publié2012
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueJournal of the American Academy of AudiologyMême sujetHearing Loss and RehabilitationTravaux en français237 207