RELATIONSHIP BETWEEN SUBJECTIVE MEMORY COMPLAINT, DEPRESSION, AND COGNITION IN HONG KONG CHINESE
Bibliographic record
Abstract
Subjective memory complaint (SMC) is common in older people and has been found to associate with depressive symptoms and future cognitive decline. However, the relationship between them is complex and still inconclusive. Understanding the respective extent SMC and depression explain and predict changes in cognitive function may provide insight. Our study followed 2,081 community-dwelling older persons aged 65 or above in Hong Kong for one year, and measured their SMC with a dichotomous question, depression with Geriatric Depression Scale (GDS), and cognition with Cantonese Montreal Cognitive Assessment (MoCA). Baseline SMC and GDS scores were moderately correlated (r = .42, p < .001), and they were associated with poorer cognition after controlling for age, gender and education at baseline (R2 change = .03, p < .001), and at follow-up (R2 change = .03, p < .001). However, only depression was predictive of changes in cognition, not age, gender, education, or SMC.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".