Objective: The Abbreviated Profile of Hearing Aid Benefit (APHAB) determines subjective impairment by hearing loss in four situations before and after hearing aid fitting. The first part (APHAB) of the questionnaire can be used independently of hearing aid fitting. Previous research has demonstrated that the answers in the EC subscale for hearing under easy conditions are concentrated in two groups: one with subjectively better, one with subjectively worse hearing. This study aimed to investigate in a large collective whether there are differences between these two groups in terms of age, gender, and individual hearing loss.
Patients And Methods: The data of 1755 patients were analyzed, whose APHAB answers and pure-tone thresholds had been collected during hearing aid fitting. Group 1 had an average EC score ≤37.5%; in group 2 it was ≥67.5%. The individual hearing losses was determined. Statistical analysis was performed using Mann-Whitney U, χ, Spearman, and Pearson tests.
Results: The 616 members of group 1 were significantly younger (68.7 vs. 73.0 years) and comprised more females (53.9 vs. 46.1%) than the 1139 members of group 2. Hearing was frequency specific in group 1, and hearing loss as classified using standard audiograms and according to the three-frequency table was significantly lower in group 1 than in group 2, CONCLUSION: The distribution with two maximums in the EC subscale can be explained by individual differences in terms of age and hearing loss, in part also by gender. The lower absolute number of patients in group 1 could be explained by the still relatively late fitting of hearing aids in general.
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http://dx.doi.org/10.1007/s00106-018-0500-y | DOI Listing |
Acta Bioeng Biomech
September 2024
Faculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland.
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelligence-based model to assess the peak torque of the lower limb extensors and flexors. The model was based on real-world results in three groups: hearing ( = 19) and deaf football players ( = 28) and non-training deaf pupils ( = 46).
View Article and Find Full Text PDFJ Acoust Soc Am
January 2025
Department of Biology, University of Aarhus, Aarhus, 8000, Denmark.
Gransier and Kastelein [J. Acoust. Soc.
View Article and Find Full Text PDFCNS Neurosci Ther
January 2025
Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Background: Sudden sensorineural hearing loss (SSNHL) is associated with abnormal changes in the brain's central nervous system. Previous studies on the brain networks of SSNHL have primarily focused on functional connectivity within the brain. However, in addition to functional connectivity, structural connectivity also plays a crucial role in brain networks.
View Article and Find Full Text PDFEar Hear
January 2025
McMaster Institute for Music and the Mind, McMaster University, Hamilton, Ontario, Canada.
Objectives: Live music creates a sense of connectedness in older adults, which can help alleviate the social isolation frequently associated with hearing loss and aging. However, most hearing-aid (HA) users are dissatisfied with the sound quality of live music and rate sound quality as important to them. Assistive listening systems are frequently independent of a user's HAs and fall short in tailoring to each individual's hearing loss.
View Article and Find Full Text PDFLaryngoscope
January 2025
Department of Otolaryngology-Head and Neck Surgery, NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University Vagelos College of Physicians and Surgeons, 180 Fort Washington Avenue, HP8, New York, New York, 10032, U.S.A.
Objectives: Hearing loss (HL) has significant implications on social functioning. Here, we study the relationship between HL, race, and these combined categories as risk factors for discrimination in the large national All of Us cohort.
Methods: The National Institutes of Health All of Us dataset was analyzed after including individuals who completed the Everyday Discrimination Survey between November 2021 and January 2022.
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