Age-Related Eye Disease and Mobility Limitations in Older Adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To examine the extent of mobility limitations in patients with age-related macular degeneration (AMD), glaucoma, or Fuchs' corneal dystrophy compared with that in a control group of older adults with good vision. METHODS: Two hundred seventy-two patients (68 with AMD, 49 with Fuchs' dystrophy, 82 with glaucoma, and 73 controls) from the ophthalmology clinics of Maisonneuve-Rosemont Hospital (Montreal, Canada) participated in a cross-sectional study from September 2009 until February 2011. Control patients who had normal visual acuity and visual fields were recruited from the same clinics. Questionnaire (life space, falls, and driving) and performance-based (one-legged balance test, Timed Up and Go [TUG] test) mobility data were collected; visual acuity, contrast sensitivity, and visual field were measured; and the medical record was reviewed. RESULTS: The three eye diseases were associated with different patterns of mobility limitations. Patients with glaucoma had the most types of mobility limitations, as they had reduced life-space scores, had worse TUG scores, were less likely to drive, and were more likely to have poor balance than the control group (P < 0.05). Compared with the controls, patients with AMD and Fuchs' corneal dystrophy had reduced life-space scores and were less likely to drive (P < 0.05). CONCLUSIONS: The results suggest that eye diseases, especially glaucoma, restrain the mobility of older people in many different ways. It is important to further explore the impact of eye disease on mobility in this population, to develop interventions that could help affected older adults maintain their independence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it