Fatigue Among Elderly Patients with Knee Osteoarthritis and Its Association with Functional Status, Depression and Quality of Life
Bibliographic record
Abstract
Objectives: Aims of the present study were to investigate fatigue in the patients with knee osteoarthritis, to evaluate association of fatigue with depression and clinical parameters such as radiological grade, functional status and pain; and to determine its impact on quality of life. Materials and Methods: Eighty patients (60 women, 20 men) with knee osteoarthritis, aged between 65 and 80 were included in the study. Radiological grade of osteoarthritis was determined by Kellgren-Lawrence grading scale. Western Ontario and McMasters UniversitiesIndex of Osteoarthritis(WOMAC) was used for assessing functional status. Fatigue Symptom Invento (FSI) was used for evaluating fatigue, Nottingham Health Profile (NHP) for quality of life, and Beck Depression Scale (BDS) for depression. Pain severity was measured by using Visual Analog Scale (VAS)-pain. Results: Patients reported their daily patterns of fatigue as follows: mostly fatigued in the evenings (30%), not at all fatigued (21.3%), mostly fatigued in the mornings (20%), no consistent daily pattern of fatigue (17.5%), mostly fatigued in the afternoons (11.3%). Intensity of fatigue, duration of fatigue and interference with quality of life subgroups of FSI were found to be significantly correlated with WOMAC, VAS-pain, BDS, and pain, energy, and emotional reactions subgroups of NHP (p<0.05). Physical mobility and sleep subgroups of NHP were only correlated with intensity of fatigue and duration of fatigue (p<0.05). There was no statistically significant correlation between FSI subgroups and social isolation subgroup of NHP (p>0.05) Logistic regression analysis revealed the significant impact of radiological grades on FSI (p<0.05). Conclusion: Fatigue is common in elderly patients with knee osteoarthritis and associated with poor quality of life regarding pain, functional status, sleep, energy and emotional functions. Since fatigue is a complex symptom; it should be assessed by using a comprehensive questionnaire such as FSI.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".