The Effects of Hearing Loss on Balance: A Critical Review
Bibliographic record
Abstract
Recent epidemiological findings of associations between hearing loss (HL) and poorer mobility and higher falls risk have increased the demand for ecologically valid experimental research to determine the potential mechanisms underlying human hearing-balance relationships. This review provides an overview of the laboratory-based approaches to studying human balance, identifies crucial factors that should be considered to improve the ecological validity of hearing-balance research, and provides a critical review of the scientific literature to date on the effects of HL on balance. Most present studies can be subdivided into those that examine balance changes due to the effects of (1) auditory suppression in individuals with normal hearing, (2) HL with and without hearing aids, and (3) cochlear implants in children and adults. To allow for meaningful comparisons, we based our in-depth critical review on studies that met minimum criteria of having at least one objective kinetic or kinematic measure of standing balance during a two-legged stance with feet side-by-side, for at stance duration of at least 30 sec. With this minimum criterion in place, we found mixed evidence that hearing suppression, HL, or hearing devices affects postural stability, especially when other sensory information is available and/or reliable, and task demands are relatively low. However, hearing may become more important when multiple sensory systems become unreliable, task demands, or cognitive impairments are greater, or when sounds provide important auditory cues to assist with orientation or provide early detection of an impending balance disturbance. However, more research is clearly needed, because there is a wide range of technical and experimental differences and limitations observed across the present literature. To address these gaps, we have provided a number of recommendations and suggested priorities for future research to provide the ecologically valid, reliable, and reproducible evidence needed to uncover any potential relationships between HL, balance, and falls.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".