MILD COGNITIVE IMPAIRMENT AND DEPRESSION AMONG COMMUNITY DWELLING ELDERLY IN CHINA
Bibliographic record
Abstract
Mild cognitive impairment (MCI) is a very early phase of Alzheimer disease (AD) which is a topic of continuing investigation, while depression may play an important impact on MCI’s progression to AD which is continuously debated. This study aimed to examine cognitive function and depressive disorder in a community elderly sample in Beijing. 451 elderly people aging 60 and older were administered the Montreal Cognitive Assessment (MoCA-PUMC）and Geriatric Depression Scale (GDS). Of the overall sample, 234 (51.9%) were deemed to have MCI, 61(13.3%) and 21(4.7%) had mild and severe depression respectively. The incidences of depression between MCI and normal cognition group were significantly different. Logistic analysis demonstrated that older age, lower educational level and depression (P<0.001) were risk factors for MCI in the elderly. The current findings may help health professionals to provide targeted cognitive screening and monitoring for this high-risk group.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".