Visual Impairment, Eye Disease and Their Risk of Depression and Cognitive Decline: The Canadian Longitudinal Study on Aging
Bibliographic record
Abstract
Objectives: Our goal was to explore the association between vision with cognitive change scores and incident depression. Methods: A 3-year prospective cohort study was performed. Incident depression was defined using a cut-off score of 10 on the Center for Epidemiologic Studies Depression scale. Cognitive change was examined by calculating the difference between baseline and follow-up cognitive tests scores. Multivariable Poisson and linear regression were used. Results: Cataract was associated with incident depression (relative risk=1.20, 95% confidence interval 1.05, 1.37). Visual impairment was associated with the 3-year change in Rey Auditory Verbal Learning Test (RAVLT) (β=-0.18, 95% CI= -0.28, -0.07), RAVLT-Delayed (β=-0.13, 95% CI= -0.25, -0.02), and Animal Naming Test (β=-0.95, 95% CI= -1.44, -0.45) scores. Glaucoma was associated with 3-year Mental Alternation Test change scores (β=-0.40, 95% CI -0.77, -0.04). Conclusions: Cataract was associated with increased depression risk. VI and glaucoma are associated with 3-year changes in cognitive test scores.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".