Quality of Life and Its Influencing Factors among Middle-aged and Elderly Patients with Knee Osteoarthritis in Rural Area of Tangshan:216 Cases Report
Bibliographic record
Abstract
Objective To investigate the status and influencing factors of quality of life among middle-aged and elderly patients with knee osteoarthritis(KOA) in rural area of Tangshan city.Methods 216 KOA patients were investigated with the demographic data questionnaire,the Numerical Rating Scale(NRS),the Arthritis Impact Measurement Scale 2 short form(AIMS2-SF) and the Western Ontario and McMaster Universities(WOMAC) Osteoarthritis index.Results The score of AIMS2-SF was(73.10±14.72) and the average score of each dimension was in the middle level.WOMAC Osteoarthritis index,levels of pain,economic status and marital status were the main predictors of their quality of life.Conclusion The quality of life of middle-aged and elderly patients with KOA in the rural area of Tangshan city was in the middle level and interventions targeted at the influencing factors should be enhanced to improve the quality of life.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".