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Self-reported hearing measures can predict risk of falling and balance problems
Hanna Putter-Katz1, Niza Horev2,3, Erez Yaakobi4
1Department of Communication Sciences and Disorders, Faculty of Health Professions, Ono Academic College, Kiryat Ono, Israel. hputter@ono.ac.il.
Communications Medicine
|May 15, 2025
Summary
A self-reported hearing questionnaire, the Amsterdam Inventory for Auditory Disability and Handicap (AIADH), effectively predicts balance decline and fall risk in adults over 40. Early detection of hearing issues can help identify individuals at risk for falls.
Area of Science:
- Gerontology
- Audiology
- Preventive Medicine
Background:
- Falls are a significant cause of injury, disability, and hospitalization in the elderly.
- Older adults with hearing loss have a substantially higher risk of falls.
- Early identification of balance deterioration is critical for fall prevention.
Purpose of the Study:
- To investigate the predictive value of a self-reported hearing measure, the Amsterdam Inventory for Auditory Disability and Handicap (AIADH), for balance problems and fall risk.
- To assess if AIADH complements objective hearing tests in predicting fall risk.
Main Methods:
- 148 participants (aged 18-90) underwent objective hearing tests (Pure-Tone Audiometry, Words-in-Noise), the AIADH self-report inventory, and balance assessments (Timed Up and Go, Activity-Specific Balance Confidence Scale).
- Statistical analyses included correlation, regression, moderation, sensitivity, and specificity analyses.
Main Results:
- The AIADH is a significant predictor of balance decline and increased fall risk, particularly in adults aged 40 and older.
- Predictive accuracy of AIADH for fall risk increases with age.
- The AIADH's 'detection' subscale emerged as the strongest predictor of balance problems and fall risk.
Conclusions:
- Self-report hearing inventories like AIADH offer a practical, potentially cost-effective method for early detection of balance issues and hearing loss.
- AIADH can serve as a valuable remote screening tool for identifying at-risk populations.
- Health authorities should consider integrating AIADH into large-scale screening programs for fall prevention.

