High Prevalence of Mild Cognitive Impairment in the Elderly: A Community-Based Study in Four Cities of the Hebei Province, China
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Mild cognitive impairment (MCI) has been suggested as a term for a boundary area between normal aging and dementia. This study was designed to determine the prevalence of MCI in the elderly in the Hebei province, China, and explore its related factors. METHODS: Participants included 2,601 community-dwelling people aged 60 years or older who resided in the four major cities of the Hebei province. In stage 1 of the study, the Mini-Mental State Examination and the Montreal Cognitive Assessment were administered for screening purposes. In stage 2, the subjects who screened positive were further examined by neurologists. The diagnosis of MCI was made according to Petersen's criteria. RESULTS: The estimated prevalence of MCI was 21.3%. MCI was more prevalent at age 65-69 (28.3%), and its overall rates among men (24.1%) were higher than those of women (19.9%). The higher prevalence of MCI was associated with very old age (≥80 years old; OR = 2.457, 95% CI = 1.471-4.104), male gender (OR = 1.363, 95% CI = 1.097-1.694), low education level (OR = 2.439, 95% CI = 1.623-3.663), and poor economic status (OR = 2.882, 95% CI = 1.949-4.255). CONCLUSIONS: Our findings show a high prevalence of MCI in the elderly urban population in the Hebei province. Gender, education level, and economic status may have an important role in the etiology of MCI.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 it