A Comprehensive Cognitive Health Management Model for Community-Dwelling Older Adults in Shanghai
Bibliographic record
Abstract
Abstract To investigate whether a comprehensive cognitive health management model improves cognitive function among community-dwelling older adults in Shanghai, China. The comprehensive cognitive health management model included brain health screening, individualized brain health consultation and referrals, and annual follow-up monitoring. We compared 161 older adults (43 with MCI, 118 with normal aging) who received the health management model, to an equal size of control group who did not receive the model on their cognition and emotion using Montreal Cognitive Assessment Scale (MoCA) and Geriatric Depression Scale (GDS). Over one-year, participants with MCI in the intervention group showed a significant increase of MoCA score than their MCI counterparts in the control group. Participants with normal aging in the intervention group showed no differences in MoCA and GDS with those in the control group. The individualized cognitive health management model is promising to assist community-dwelling older adults with MCI to maintain brain health.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".