Multidimensional Determinants of Frailty in Haemodialysis Patients: The Overlooked Roles of Depression and Cognitive Function
Bibliographic record
Abstract
AIM: This study aims to examine the level of frailty in patients undergoing haemodialysis treatment and investigate the effects of sociodemographic, psychological and clinical variables on frailty. METHOD: A cross-sectional and correlational research design was employed with 386 haemodialysis patients over the age of 50. Data were collected using the Edmonton Frail Scale, Beck Depression Inventory, Standardized Mini-Mental Test and Eysenck Personality Questionnaire. RESULTS: The study revealed that 48.4% of haemodialysis patients fell into the 'apparently frail' category, and frailty levels were significantly associated with age, depression and cognitive functions (p < 0.05). However, no significant effect of gender, marital status, educational level, chronic diseases or personality traits on frailty was identified. CONCLUSIONS: Most haemodialysis patients were found to be apparently frail, with frailty levels increasing with age. Furthermore, frailty was linked to higher levels of depressive symptoms and lower cognitive function. Evaluating depression and cognitive function is crucial for alleviating frailty symptoms and improving quality of life.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".