Association between <scp>age‐related</scp> hearing loss with tinnitus and cognitive performance in older <scp>community‐dwelling</scp> Chinese adults
Bibliographic record
Abstract
AIM: To examine how the severity of age-related hearing loss (ARHL) and tinnitus or the presentation of ARHL with tinnitus is associated with overall cognition, in terms of specific cognitive domains in older community-dwelling Chinese adults. METHODS: The study recruited 429 participants aged ≥58 years (mean age, 72.91 ± 7.014 years; female proportion, 57.30%), excluding those with dementia, disability, and severe mental illness. Patients were classified into normal cognition, pre-mild cognitive impairment (pre-MCI), and MCI according to the normative z-scores of neuropsychological test battery. The severity of ARHL and tinnitus was measured by pure-tone audiometry and the Tinnitus Handicap Inventory. Cognitive impairment and low functions in specific cognitive domains were used as dependent variables in multiple regression analyses adjusted for covariates. RESULTS: ARHL severity was positively associated with MCI and low executive function, delayed memory, and language function. Only individuals with mild (odds ratio (OR) 1.791; CI, 0.952-3.373; P = 0.071), and moderate and the disaster tinnitus (OR, 2.493; CI, 0.982-6.328; P = 0.055) were marginally associated with increased odds of MCI in model 1. Individuals with ARHL and tinnitus (OR, 3.888, CI = 1.481-10.205; OR, 4.471, CI = 1.636-12.219) were independently associated with high risk for MCI in models 1 and 2. CONCLUSIONS: ARHL severity and the presentation of ARHL or ARHL with tinnitus were associated with overall cognition. ARHL severity was independently associated with executive function, delayed memory, and language function. The association between tinnitus severity and cognition is not clear. But the group with ARHL and tinnitus is a high-risk group with cognitive impairment. CLINICALTRIALS: gov identifier: NCT2017K020.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".