Is Cognition a Determinant of Health Related Quality of Life in Community Dwelling Non Demented Elderly?
Bibliographic record
Abstract
Quality of life (QOL) is an important topic in social and medical sciences, it has a multidimensional nature and is influenced by many factors. Aim of the Work: In this study we want to assess the impact of cognitive impairment on the health related quality of life (HR-QOL) of community dwelling non demented elderly. Subject and Method: 115 non demented elderly, 60 years and older recruited from outpatient geriatric clinic at Al Mansoura General Hospital, Dakahlia, Egypt. Each participant underwent, comprehensive geriatric assessment, assessing cognitive function using the mini-mental state examination (MMSE) and montreal cognitive function test, assessing the health related quality of life (HR-QOL) by the RAND-36 health survey. Results: We found that the elderly with impaired cognition by both MMSE and Montreal test were significantly older; the ones with lower education, with more depressive symptoms, had more functional impairment and had lower HR-QOL scores than the elderly with normal cognitive function, after controlling for confounders still cognition was a determinant of HR-QOL. Also by linear correlation coefficient a significant correlation between HR-QOL and age, function, cognition and depression was found. Conclusion: Cognition affects significantly HR-QOL of the elderly, so we can say that interventions targeting cognition in the elderly can significantly improve their QOL.
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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 | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".