Study on prevalence and risk factors of mild cognitive impairment among retired cadres
Bibliographic record
Abstract
Objective To Study on prevalence and risk factors of mild cognitive impairment(MCI) among retired people(age≥65) in Guangzhou city.Methods Four hundred and fifty-four retired senior cadres were recruited from checkup clinic at the First Municipal People's Hospital.All subjects were evaluated using the MoCA and Mini Mental State Examination(MMSE).All participants were further divided in normal(96 cases) and MCI groups(337 cases) based on MoCA and MMSE evaluation.Results MoCA and MMSE were highly correlated(r = 0.563,P 0.01).The detection rate of MoCA(78.98%) was higher than that of MMSE(45.96%).There were significant differences in the age,depression scores,systolic pressure and hypertension between normal and MCI groups(P 0.01).The Age,hypertension and depression scores were independent risk factors of MCI.Conclusions The Age,hypertension and depression were independent risk factors for MCI and early interventions aimed at controlling the modifiable risks may slow the transition of MCI to dementia in MCI patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".