Relationship between self-efficacy and pain control in Iranian women with advanced knee osteoarthritis
Bibliographic record
Abstract
OBJECTIVES: This study aimed to determine the relationship between pain of osteoarthritis (OA) and body mass index (BMI), age, pain control strategy, self-efficacy for pain control, exercise, and functional activities in a cohort of Iranian women. SUBJECTS AND METHODS: In total, 150 women with advanced knee OA, candidates for arthroplasty in Tabriz, in the Northwest of Iran were enrolled into the study. A convenience sampling method was used, and data was collected using demographic form, short-form McGill pain questionnaire, pain self-efficacy questionnaire, self-efficacy for exercise, and functional activities scales. RESULTS: The present pain intensity of 74.7% of women was described as excruciating with mean (±SD) score 9.58 (±0.77) in the visual analogue scale. The majority of the women had a low self-efficacy for pain, exercise, and functional activities with means of 31.8, 17.28, and 57.63 respectively. There was a significant inverse relationship between sensory and affective components of pain and self-efficacy for pain control and functional activities (P < 0.001). The sensory and affective components of pain was related to age (P < 0.05), pain control self-efficacy (P < 0.01), and BMI (P < 0.05). A great majority of the women (79.33%) used complementary medicine (CM) for pain management. Those who used CM reported lower pain and higher self-efficacy (P < 0.01). CONCLUSION: The findings of this study suggest that life style modification and pain management education of women with OA and nurses on non-pharmacological interventions as well as integration of these into nursing care is essential.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".