The Study of the Correlation between Cognition Function and Quality of Sleep in the Elderly
Bibliographic record
Abstract
Background/Objectives: Sleep function affects human health,Recently, studies on various variables affecting mental health management and cognitive function of elderly people are being actively conducted due to the increase of elderly population. The purpose of this study was to investigate the correlation between cognitive function and quality of sleep in the elderly.Method/Statistical Analysis: The participation was 33 normal elders over 65-year-old. Cognition function was evaluated with the Montreal Cognitive Assessment (MoCA), and quality of sleep was evaluated with sleep Scale A. The data were then analyzed for frequency and correlation by using statistical software (SPSS 21.0).Findings: The average age of the study subjects was 82.4 years. The average MoCA score was 17.1±3.8 and sleep scale A score was 29.6±8.9. The results of MoCA and sleep scale A showed a positive correlation(r = .417, p<.05).Improvements/Applications: The results of the study show that the lower the quality of sleep in the elderly, the lower the cognitive function. The results of this study will discuss whether sleep quality can be used to predict mental health in older adults.
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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 | 0.002 |
| 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".